WI-IAT 2021
Conference
Program

Contents
Welcome Message

3

Organizing Committee

6

Conference Theme and Topics
Main Conference Theme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Areas and Topics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

777

WI 20Y Turing Award Laureate Keynotes
Leslie Valiant . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Joseph Sifakis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

889

WI 20Y Keynotes
10
Tom M. Mitchell . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Frank van Harmelen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
WI-IAT’21 Invited Keynotes
12
Bryan Low . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Athena Vakali . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Xin Geng . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
Workshop and Special Session Technical Program

15

Main Conference Technical Program

22

Main Conference Sessions and Presentations
28
Wednesday, 15 December 2021 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
Thursday, 16 December 2021 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Friday, 17 Decebmer 2021 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
Zoom Login Credentials and Free-access Live-streams
37
Zoom Login Credentials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Free-access Live-stream for Keynote Speeches, Opening & Closing Ceremony, WI 20Y Special Session . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Sponsors

38

2

Welcome Message
The 2021 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’21) provides a premier international forum for researchers and practitioners fromdiverse fields to present results from original research, as well as the exchange and dissemination of innovative and practical development experiences on Web intelligence and intelligent agent technology
research and applications. WI-IAT conferences enable scientists, engineers and educators to present
and share the latest WI-IAT technologies, and discuss the development of future intelligent systems
for complex applications. The first international conference of Web Intelligence and Intelligent Agent
Technology (WI-IAT’01) was held in Maebashi, Japan, 2001. Then, it was followed by WI-IAT’03
in Halifax, Canada, WI-IAT’04 in Beijing, China, WI-IAT’05 in Compiegne, France, WI-IAT’06
in Hong Kong, WI-IAT’07 in Silicon Valley, USA, WI-IAT’08 in Sydney, Australia, WI-IAT’09 in
Milano, Italy, WI-IAT’10 in Toronto, Canada, WI-IAT’11 in Lyon, France, WI-IAT’12 in Macau,
China, WI-IAT’13 in Atlanta, USA, WI-IAT’14 in Warsaw, Poland, and WI-IAT’15 in Singapore.
After this period, in 2016, WI-IAT conferences were merged into a single brand with redefined andvitalized aims and topics, resulting in WI’16 in Omaha, USA, WI’17 in Leipzig, Germany, WI’18
in Santiago de Chile, and WI’19 in Thessaloniki, Greece. However, in recognition of the strong
connection between Web Intelligence and Intelligent Agent Technology, the classic brand of WI-IAT
resumed in 2020. After a successful online WI-IAT’20 during the global pandemic, WI-IAT’21 is heldin Melbourne, Australia, as a hybrid conference with both online and offline modes, to celebrate its
20th anniversary.
WI-IAT aims to achieve a multi-disciplinary balance between research advances in theories andmethods usually associated with collective intelligence, data science, human-centric computing,knowledge management, network science, autonomous agents and multi-agent systems. It is committed to addressing research that both deepens the understanding of computational, logical, cognitive,
physical, and social foundations of the future Web, and enables the development and applicationof intelligent technologies. WI-IAT’21 features high-quality, original research papers and real-world
applications in all theoretical and technological areas that comprise the field of Web Intelligence andIntelligent Agent Technology. WI-IAT’21 also grants a broad forum where academics, professionals
and industry personnel can exchange their ideas, findings and strategies that utilize the power ofhuman ingenuity and man-made networks to create a better world, more specifically, exploring how
advanced intelligence is impacting fields such as the Web of People, the Web of Data, the Web ofThings, the Web of Trust, the Web of Agents, and emerging Web in health and smart living in the
5G Era. The theme of WI-IAT’21 is “Web Intelligence = AI in the Connected World”.
As the 20th anniversary of the conference, WI-IAT’21 hosts a special event, the WI 20Y Anniversary Special Session, to celebrate. Special features in this event include four WI 20Y keynotes:• Leslie Valiant, Turing Award laureate, Member of the United States National Academy of
Sciences, Fellow of the Association for the Advancement of Artificial Intelligence, Harvard
University, USA: “How to Augment Learning with Reasoning”• Joseph Sifakis, Turing Award laureate, Member of the French Academy of Sciences, Memberof the French National Academy of Engineering, University of Grenoble, France: “Why is it so3

hard to make self-driving cars? (Trustworthy autonomous systems)”• Tom M. Mitchell, Member of the United States National Academy of Engineering, Fellowof the American Association for the Advancement of Science, Fellow the Association for the
Advancement of Artificial Intelligence, Carnegie Mellon University, USA: “Can We Replace
Programming Languages by Natural Instruction? ”• Frank van Harmelen, Member of the Dutch Royal Academy of Sciences, Member of the Royal
Holland Society of Sciences and Humanities, Fellow of the European Association for Artificial Intelligence, Vrije Universiteit Amsterdam, the Netherlands: “Modular design patterns for
systems that learn and reason”
This also includes an invited talk delivered by the recipients of the “WI 20Y Most Influential
Paper Award” for the following WI-IAT paper:• Sitaram Asur and Bernardo A. Huberman, “Predicting the Future with Social Media”, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2010, pp.
492–499. (doi: 10.1109/WI-IAT.2010)
At the time of this article’s draft prior to the conference opening, the paper has attracted 3042
citations on Google Scholar and 1092 on Scopus, and the citation numbers are increasing constantly.
In addition to the WI 20Y keynotes, we are also deeply honored to have following highly distinguished speakers from the field of “AI in the Connected World” delivering a keynote speech at
WI-IAT’21:• Bryan Low, National University of Singapore, Singapore: “Trusted data sharing – incentivizing
collaboration and rights to be forgotten in machine learning”• Athena Vakali, Aristotle University of Thessaloniki, Greece: “Online social networks bot detection services and technologies: How can social bots be detected in today’s online mistrusted
platforms? ”• Xin Geng, Southeast University, China: “Unleash the Power of Label Space: Label Enhancementfor Label Distribution Learning”
We thank all keynotes and invited speakers for their contribution to the success of the conference,and their willingness to share their brilliant expertise and wisdom with our participants.
Overall, the WI-IAT’21 conference received 206 paper submissions with 667 authors from 43 countries across the world. After a rigorous peer review process undertaken by the Program Committee
members and additional reviewers, 57 top quality papers are included in the proceedings as regularpapers, marking an acceptance rate of 27.6%. Also included in the proceedings are 38 short papers
with semi-top research merit. Alongside the main conference, there are jointly 12 workshops andspecial sessions, which include many pioneered and exploratory works in the companion proceedings.
We truly congratulate the authors of these papers for such a great achievement. We also sincerely
thank all the authors of non-accepted papers for their contributions to WI-IAT’21, and wish to
express our gratitude to all the reviewers who provided valuable feedback.
It is impossible to organize a first-class conference without the support and expertise of many
outstanding researchers, leaders, volunteers, and sponsors. We acknowledge the time and effort
dedicated by the members of the WI-IAT’21 Organizing Committee and Program Committee. They
assured the success and academic merit of the conference. We would like to thank the keynote speakers, invited speakers, and workshop and special session organizers, who selflessly contributed theirtime, knowledge, and expertise to WI-IAT’21 and helped make the WI-IAT’21 Technical Programinteresting and beneficial. We would also like to thank the WI-IAT Steering Committee Co-chairs,
4Ning Zhong and Jiming Liu, whose guidance was essential for the success of the conference. Our
gratitude also goes to Juzhen Dong and Hongzhi Kuai, who always dealt with issues in a timely andpatient manner, no matter how late and how often they arose. We also thank the sponsors of WIIAT’21 such as the IEEE Computer Society Technical Committee on Intelligent Informatics (TCII),Web Intelligence Consortium (WIC), ACM-SIGAI, Oxford University, the University of Queensland,
Deakin University, Southeast University, Nanjing University of Finance & Economics, Peking Union
Medical College, China, IOS Press, PIESAT International Information Technology Limited, and Tao
Technology for their trust and support. Last but not least, we cannot extend enough thanks tothe authors who contributed to the WI-IAT’21 conference. Without them, WI-IAT ’21 wouldn’t bepossible.
We wish you many rewarding experiences at WI-IAT’21, a hybrid conference with both online
and offline modes!
Yours sincerely.

WI-IAT 2021 Organizing Committee
Melbourne and Cyber, December 2021

5

Organizing Committee
General Chairs
Jing HeThe University of Queensland,
Australia

Rainer Unland
The University ofDuisburg-Essen, Germany

Eugene Santos Jr.
Dartmouth College,
USA

Program Committee Chairs
Xiaohui Tao
University of Southern
Queensland, Australia

Hemant Purohit
George Mason University,
USA

John Yearwood
Deakin University,
Australia

Jie CaoNanjing University of Financeand Economics, China

Willem-Jan van den
HeuvelJADS Research, Netherlands

WI 20 Years Events Chairs
Yuefeng Li
Queensland University of Technology,
Australia

Gabriella Pasi
University of Milano-Bicocca,
Italy

Workshop and Special Session Chairs
Xiaoying Gao
Victoria University of
Wellington, New Zealand

Jian Cao
Shanghai Jiaotong University,
China

6

Ke Deng
RMIT University,
Australia

Conference Theme and Topics
Main Conference ThemeThe theme of the WI-IAT ’21 is“Web Intelligence = AI in the Connected World”.

Areas and Topics• Track 1: Web of People• Track 2: Web of Truest• Track 3: Web of Things• Track 4: Web of Data
• Track 5: Web of Agents• Special Track: Emerging Web in Health and Smart Living

7

WI 20Y Turing Award Laureate Keynotes
Leslie Valiant
Turing Award Laureate, Member of the United States National Academy of Sciences,
Fellow of the Association for the Advancement of Artificial Intelligence
Harvard University, USA
How to Augment Learning with Reasoning?
Abstract: Learning is a cognitive phenomenon that has proved amenableboth to theoretical analysis and exploitation as a technology. However,
not all of cognition can be accounted for directly by learning. The question
we ask here is whether one can build on the success of machine learning
to address the broader goals of artificial intelligence. We regard reasoning
as the major component of cognition that needs to be added. We suggestthat the central challenge therefore is to unify the formulation of thesetwo phenomena, learning and reasoning, into a single framework witha common semantics. In such a framework one would aim to learn ruleswith the same success that predicates can be learned by means of machinelearning, and, at the same time, to reason with the rules with guarantees
analogous to those of standard logic. We discuss how Robust Logic fulfils
the role of such a theoretical framework. We also discuss the challengesof testing this experimentally on a significant scale, for tasks where one
hopes to exceed the performance offered by learning alone.
Short Bio: Leslie Valiant was educated at King’s College, Cambridge;
Imperial College, London; and at Warwick University where he received his Ph.D. in computerscience in 1974. He is currently T. Jefferson Coolidge Professor of Computer Science and Applied
Mathematics in the School of Engineering and Applied Sciences at Harvard University, where he hastaught since 1982. Before coming to Harvard he had taught at Carnegie Mellon University, Leeds
University, and the University of Edinburgh. His work has ranged over several areas of theoreticalcomputer science, particularly complexity theory, learning, and parallel computation. He also hasinterests in computational neuroscience, evolution and artificial intelligence and is the author of two
books, Circuits of the Mind, and Probably Approximately Correct. He received the Nevanlinna Prizeat the International Congress of Mathematicians in 1986, the Knuth Award in 1997, the European
Association for Theoretical Computer Science EATCS Award in 2008, and the 2010 A. M. Turing
Award. He is a Fellow of the Royal Society (London) and a member of the National Academy of
Sciences (USA).
Time: Melbourne Time (UTC/GMT +11) 0900-0950, Wednesday, 15 December 2021
Zoom 1: 974 366 3655
Free-access Live-stream• Link 1: https://youtu.be/q5OWrlDqmpc• Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH
8

Joseph Sifakis
Turing Award Laureate, Member of the French Academy of Sciences, Member of theFrench National Academy of Engineering
University of Grenoble, France
Why is it so hard to make self-driving cars? (Trustworthy
autonomous systems)
Abstract: Why is self-driving so hard? Despite
the enthusiastic involvement of big technological companies and the massive investment of many billionsof dollars, all the optimistic predictions about selfdriving cars “being around the corner” went utterly
wrong. I argue that these difficulties emblematicallyillustrate the challenges raised by the vision for trustworthy autonomous systems. These are critical systems intended to replace human operators in complex organizations, very different from other intelligent systems such as game-playing robots or intelligent personal assistants. I discuss complexity limitations inherent to autonomic behavior but also to integration in complex cyber-physical and human environments. I argue that existing critical systems engineering techniques fall short of meeting the complexity challenge. I also argue that emerging end-to-end
AI-enabled solutions currently developed by industry,
fail to provide the required strong trustworthiness guarantees. I advocate a hybrid design approachcombining model-based and data-based techniques and seeking tradeoffs between performance andtrustworthiness. I also discuss the validation problem emphasizing the need for rigorous simulationand testing techniques allowing technically sound safety evaluation. I conclude that building trustworthy autonomous systems goes far beyond the current AI vision. To reach this vision, we need a
new scientific foundation enriching and extending traditional systems engineering with data-based
techniques.
Short Bio: Prof. Joseph Sifakis is Emeritus Senior CNRS Director at Verimag. His current researchinterests cover fundamental and applied aspects of autonomous system design. He is the founder ofthe Verimag laboratory in Grenoble, which he directed for 13 years. He has been a full professor at
EPFL for the period 2011-2016. In 2007, he received the Turing Award for his contribution to thetheory and application of model checking. Joseph Sifakis is a member of the French Academy of
Sciences, a member of the French National Academy of Engineering, a member of Academia Europea,
a member of the American Academy of Arts and Sciences, a member of the National Academy ofEngineering and a member of the Chinese Academy of Sciences.
Time: Melbourne Time (UTC/GMT +11) 1700-1750, Wednesday, 15 December 2021
Zoom 1: 974 366 3655
Free-access Live-stream• Link 1: https://youtu.be/q5OWrlDqmpc• Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

9

WI 20Y Keynotes
Tom M. Mitchell
Member of the United States National Academy of Engineering, Fellow of theAmerican Association for the Advancement of Science, Fellow the Association for
the Advancement of Artificial Intelligence
Carnegie Mellon University, USA
Can We Replace Programming Languages by Natural
Instruction?
Abstract: Now that computers are finally able to have simple conversations,
it is time to explore the potential for replacing programming languages with natural language instruction. For example,
less than 1% of phone users can program
their phone to do new things for them,but if this line of research succeeds wemight change that to 99%. This talkwill describe our recent research exploring how we might enable phone users toteach their phones to perform new commands, using natural language interaction together with demonstrations. Thisline of research represents a paradigm of "conversational machine learning" that complements current dataintensive statistical approaches. If successful, it has implications for many types of computer interfaces, fromgiving users more control over their smart phones, to a providing a new generation of teachable web browsers.
This talk covers joint work with Igor Labutov, Forough Arabshahi, Brad Meyers, Shashank Srivastava,
Toby Li, Jennifer Lee, Antoine Bosselut, and Yeijin Choi.
Short Bio: Tom M. Mitchell is the Founders University Professor at Carnegie Mellon University, where hecreated the world’s first Machine Learning Department. His research includes machine learning approaches
to natural language understanding, and brain imaging studies of natural language understanding in humans.
Mitchell is an elected member of the U.S. National Academy of Engineering and the American Academyof Arts and Sciences, and a Fellow and Past President of the Association for the Advancement of Artificial
Intelligence (AAAI). He is interested in societal impacts of computer science, recently co-chaired a U.S.
National Academies study on “Information Technology, Automation, and the Workforce,” and has recently
testified to several Congressional forums on the impacts of AI on society.
Time: Melbourne Time (UTC/GMT +11) 0900-0950, Thursday, 16 December 2021
Zoom 1: 974 366 3655
Free-access Live-stream• Link 1: https://youtu.be/-dM9a1hbiNA• Link 2: https://meeting.tencent.com/l/HCyW9B6l6rjx

10Frank van Harmelen
Member of the Dutch Royal Academy of Sciences, Member of the Royal Holland
Society of Sciences and Humanities, Fellow of the European Association for
Artificial Intelligence
Vrije Universiteit Amsterdam, the Netherlands
Modular Design Patterns for Systems that Learn and Reason
Abstract: The combination of data-driven techniques frommachine learning with symbolic techniques from knowledge representation is recognised as one of the grand challenges of modern AI. We propose a set of compositional design patterns
to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniquesfrom knowledge representation. As in other areas of computerscience (knowledge engineering, software engineering, ontology
engineering, process mining and others), such design patterns
help to systematize the literature, clarify which combinations oftechniques serve which purposes, and encourage re-use of software components. We have validated our set of compositional
design patterns against a large body of recent literature.
Short Bio: Frank van Harmelen has a PhD in Artificial Intelligence from Edinburgh University, and has been professorof AI at the Vrije Universiteit Amsterdam since 2001, where
he leads the research group on Knowledge Representation. He
was one of the designers of the knowledge representation language OWL, which is now in use by companies such as Google,
the BBC, New York Times, Amazon, Uber, Airbnb, Elsevier
and Springer Nature among others. He co-edited the standard
reference work in his field (The Handbook of Knowledge Representation), and received the Semantic Web 10-year impact award for his work on the Sesame RDF triple
store. He is a Fellow of the European Association for Artificial Intelligence, Member of the Dutch Royal
Academy of Sciences (KNAW), of the Royal Holland Society of Sciences and Humanities (KHWM) and of
the Academia Europaea, and is adjunct professor at Wuhan University and Wuhan University of Science andTechnology in China.
Time: Melbourne Time (UTC/GMT +11) 1710-1800, Friday, 17 December 2021
Zoom 1: 974 366 3655
Free-access Live-stream• Link 1: https://youtu.be/ZiaMlcOIBYY• Link 2: https://meeting.tencent.com/l/VRoSwBu8Ofrc

11

WI-IAT’21 Invited Keynotes
Bryan Low
National University of Singapore, Singapore
Trusted Data Sharing – Incentivizing Collaboration and Rights
to be Forgotten in Machine Learning
Abstract: In this talk, Dr. Bryan Low will present his preliminary research
efforts in trusted data sharing. Specifically, he will discuss how we can perform data valuation, incentivize multiple parties with data to collaborate
in building higher-quality models, and unlearn a trained machine learningmodel from data to be erased (e.g. personal data, malicious data) for compliance with regulations such as the Personal Data Protection Act, General
Data Protection Regulation, and the future of personal data ownership.
Short Bio: Dr. Bryan Low is an Associate Professor of Computer Science at the National University of Singapore and the Deputy Director of
AI Research at AI Singapore. He obtained the B.Sc. (Hons.) and M.Sc.
degrees in Computer Science from National University of Singapore, Singapore, in 2001 and 2002, respectively, and the Ph.D. degree in Electricaland Computer Engineering from Carnegie Mellon University, Pittsburgh,
Pennsylvania, in 2009. His research interests include probabilistic & automated machine learning, planning under uncertainty, and multi-agent/robot
systems.
Dr. Low is the recipient of the (1) Andrew P. Sage Best Transactions
Paper Award for the best paper published in all 3 of the IEEE Transactions on Systems, Man, and Cybernetics- Parts A, B, and C in 2006; (2) National University of Singapore Overseas Graduate Scholarship for Ph.D.
studies in Carnegie Mellon University (CMU) in 2004-2009; (3) Singapore Computer Society Prize for Best
M.Sc. Thesis in School of Computing, National University of Singapore in 2003; and (4) Faculty Teaching
Excellence Award in School of Computing, National University of Singapore in 2017-2018.
Dr. Low has served as a World Economic Forum’s Global Future Councils Fellow for the Council on the
Future of Artificial Intelligence and Robotics from Sep 2016 to Jun 2018 and an IEEE Robotics & Automation
Society (RAS) Distinguished Lecturer for the IEEE RAS Technical Committee on Multi-Robot Systems in
Mar 2019. He has served as an organizing chair for the IEEE RAS Summer School on Multi-Robot Systems
in Jun 2016 and the AI Summer Schools in Jul 2019 and Aug 2020. Dr. Low has also served as associate
editors, area chairs and program committee members, and reviewers for premier AI (specifically, multiagent
systems, AI planning, robotics, machine learning) conferences: IJCAI, AAAI, ECAI, AAMAS, ICAPS, RSS,
IROS, ICRA, CoRL, NeurIPS, ICML, AISTATS, ICLR and journals: TKDE, JMLR, JAIR, MLJ, TNNLS,
T-ASE, IJRR, T-RO, AURO, JFR, TOSN, JAAMAS. He was the top 5% reviewer for ICML 2019 and top
33% reviewer for ICML 2020.
Time: Melbourne Time (UTC/GMT +11) 1300-1350, Wednesday, 15 December 2021
Zoom 1: 974 366 3655
Free-access Live-stream• Link 1: https://youtu.be/q5OWrlDqmpc• Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

12

Athena Vakali
Aristotle University of Thessaloniki, Greece
Online Social Networks Bot Detection Services andTechnologies: How can Social Bots be Detected in Today’s
Online Mistrusted Platforms?
Abstract: Popular Online Social Networks platforms offer a fertile groundfor open communication among humans, however, they also attract manybots and automated accounts "disguised" as human users. Typically, suchaccounts favor malicious activities such as phishing, public opinion manipulation and hate speech spreading, to name a few. Although several Artificial
Intelligence (AI) bot detection methods have been implemented, the justification of bot classification and characterization remains quite opaque andAI decisions lack in ethical responsibility. Most of these approaches operatewith AI black-boxed algorithms and their efficiency is often questionable.
Prof. Vakali will reveal crucial research outcomes in the battle againstsocial bots “in the wild”. Social bots detection under interpretable, responsible, and AI methods will be showcased, to open ideas and dialogues for
effective online disinformation services. In this talk we will further explore
indicative services, such as “Bot-Detective”, a web service that takes into
account both the efficient detection of bot users and the interpretability of
the results. Main topics are : i) novel explainable bot-detection approaches,
to offer interpretable, responsible, and AI driven bot identification in Twitter, ii) publicly available bot detection Web service examples which integrates an explainable ML framework
along with users feedback functionality under an effective crowdsourcing mechanism; iii) availability of annotated dataset by exploiting Twitter’s rules and existing tools.
Short Bio: Athena Vakali is a Professor at the School of Informatics, Aristotle University, Greece, where
she leads the Laboratory on Data and Web science (Datalab https://datalab.csd.auth.gr/). She holds
a PhD degree in Informatics (Aristotle University), a MSc degree in Computer Science (Purdue University,USA), and a BSc degree in Mathematics. Her current research interests include Data Science topics withemphasis on big data mining and analytics, Next generation Internet applications and enablers, online social
networks mining, as well as on online sources data management on the cloud, the egde and decentralized
settings. She has supervised 10 completed PhD theses and she has been awarded for her educational andresearch work which is extended with mentoring and students empowerment (ACM, ACMW). Prof. Vakali
has published over than 170 papers in refereed journals and Conferences (her publications received over 8530
citations with h-index=39 according to gscholar). She is the Co-EiC of “Web Intelligence” WIC journal andshe is at the editorial board of "Computers & Electrical Engineering" Journal, and ICST Transactions on
Social Informatics. She has coordinated and participated in more than 30 research projects in EU FP7,
H2020, international and national projects. She has served as a member in the EU Steering Committee for
the EU Future Internet Assembly (2012-14) and she has been appointed as Director of the Graduate Programin Informatics, Aristotle University (2014-15). She has co-chaired major Conferences Program Committees
such as : PC co-chair at the ACM/IEEE Web Intelligence Conference 2019, the EU Network of Excellence
2nd Internet Science Conference (EINS 2015), 15th Web Information Systems Engineering (WISE 2014),etc.
More info at: https://datalab.csd.auth.gr/avakali/.
Time: Melbourne Time (UTC/GMT +11) 1600-1650, Wednesday, 15 December 2021
Zoom 1: 974 366 3655
Free-access Live-stream• Link 1: https://youtu.be/q5OWrlDqmpc• Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

13

Xin GengSoutheast University, China
Unleash the Power of Label Space: Label Enhancement forLabel Distribution Learning
Abstract: In the existing machine learning literature, the labels of the
training examples are usually just used in the calculation of loss. Most
sophisticated operations are actually conducted on the instances, such asfeature extraction, feature selection, manifold embedding, dimensionality
reduction, etc. Researchers take obviously more efforts in the feature spacethan in the label space, which is not strange since labels are traditionally
represented by logical values, i.e., 1 if the label is relevant to the instanceand 0 otherwise. However, if we can somehow transform the logical label vectors into real-valued label vectors, then we can expect much more
profound analysis in the label space.
Label distribution learning (LDL) is a recently proposed machinelearning paradigm, where each instance is labeled by a real-valued label
vector called label distribution. Each element in the label distribution indicates the description degree of the corresponding label to the instance.
Considering most existing data sets are annotated by logical labels, weneed a way to transform logical labels into label distributions, which iscalled label enhancement. Label enhancement could unleash the power oflabel space: many analytic operations meant for the feature space are now
applicable to the label space.
Short Bio: Xin Geng is currently a professor and the dean of School of Computer Science and Engineering at
Southeast University, China. He is an awardee of the National Science Fund for Distinguished Young Scholars.
He received the B.Sc. (2001) and M.Sc. (2004) degrees in computer science from Nanjing University, China,
and the Ph.D. (2008) degree in computer science from Deakin University, Australia. His research interests
include machine learning, pattern recognition, and computer vision. He has published over 100 refereed
papers in these areas, including those published in prestigious journals and top international conferences. He
has been an Associate Editor of IEEE T-MM, FCS and MFC, a Steering Committee Member of PRICAI, a
Program Committee Chair for conferences such as PRICAI’18, VALSE’13, etc., an Area Chair for conferencessuch as CVPR’21, ACMMM’18, ICPR’20, and a Senior Program Committee Member for conferences suchas IJCAI, AAAI, ECAI, etc. He is a Distinguished Fellow of IETI and a Senior Member of IEEE.
Time: Melbourne Time (UTC/GMT +11) 1300-1350, Friday, 17 December 2021
Zoom 1: 974 366 3655
Free-access Live-stream• Link 1: https://youtu.be/ZiaMlcOIBYY• Link 2: https://meeting.tencent.com/l/VRoSwBu8Ofrc

14

Workshop and Special Session Technical
Program

15

WORKSHOP AND SPECIAL SESSION PROGRAM AT A GLANCE
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +80900‐1000

0600‐0700

Zoom 1

Tuesday, 14 December 2021
Zoom 3Zoom 2

Spatial temporal data
management andvisualization for food andstrategic reserves
1000‐1100

0700‐0800
Special Track on Social
Computing1100‐1200
1200‐1300

0800‐0900
0900‐1000

1300‐1400

1000‐1100

1400‐1500
1500‐1600
1600‐1700
1700‐1800
1800‐1900
1900‐2000

1100‐1200
1200‐1300
1300‐1400
1400‐1500
1500‐1600
1600‐1700

2000‐2100

1700‐1800

Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

1815‐2200

1515‐1900

NLPOE2021: 14th Natural
Language Processing andOntology Engineering

Spatial Track on
Computational Complexity
XPERT4CQA: First International
Workshop on Expert
Recommendation for Community
Question Answering

DASM21: International Workshop
on Data Analytics on Social Media WImBI21: Web Intelligencemeets Brain Informatics

ABCSS2021: The 6th International
Workshop on Application of Big
Data for Computational Social
ScienceThursday, 16 December 2021

ACER: International
Workshop on Affective
Computing and Emotion

16

Zoom 5SMA4H: Social Media Analytics
for Health intelligence (SMA4H):
how artificial intelligencetransforms healthcare

IDP: 10th International
Workshop on Intelligent Data
Processing

Zoom 1

Zoom 4

AI4SG: International Workshop
on AI for Social Good in theConnected WorldWORKSHOP AND SPECIAL SESSIONS TECHNICAL PROGRAM
Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

0900‐0905

0600‐0605

5 mins0905‐0945

0605‐0645

40 mins

0950‐1030

0650‐0730

40 mins1030‐1045

0730‐0745

15 mins1045‐1125

0745‐0825

40 mins1130‐1230

0830‐0930

60 mins1230‐1300

0930‐1000

60 mins

1300‐1340

1000‐1040

40 mins1345‐1425

1045‐1125

40 mins

1430‐1445

1130‐1145

15 mins

1445‐1525

1145‐1225

40 mins1530‐1610

1230‐1310

40 mins

1615‐1630

1315‐1330

15 mins1630‐1750

1330‐1450

80 mins

1750‐1800

1450‐1500

10 mins

Special Track on Social Computing(https://sites.google.com/view/wi‐iat2021sc/)
Zoom Link Reference: Zoom 1: 974 366 3655
Chair: Feng Xia (Federation University Australia)
Opening
Keynote Talk I
Networks and Narra ves: Deriving Ac onable Insights through Social Compu ng
Ni n Agarwal (University of Arkansas at Li le Rock, USA)
Keynote Talk II
Understanding innova on through social compu ng
Hyejin Youn (Northwestern University, USA)
Coffee BreakKeynote Talk III
Social‐Behavioral Graph Data Augmenta on
Meng Jiang (University of Notre Dame, USA
WI215‐‐Mobile Crowdsensing with Imagery Tasks
Justas Dautaras and Mihhail Matskin
WI269‐‐Medical Inter‐Specialty Referral Networks:
A Graph‐Based Analysis of Germany‐Wide Claims Data
Ta ana Ermakova, Benjamin Fabian, Michael Erhart, Thomas Czihal, and Dominik von
Stillfried
S03202‐‐Heterogeneous Graph Learning for Explainable Recommendation overAcademic Networks
Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, and Feng Xia
Lunch BreakKeynote Talk IV
From Personal Big Data to Personalized Intelligence
Jianhua Ma (Hosei University, Japan)
Keynote Talk V
Faster, Sooner, Cheaper: Can social media reflect real‐world phenomena?
Suppawong Tuarob (Mahidol University, Thailand)
Coffee BreakKeynote Talk VI
Collabora vely building knowledge graphs on the Web
Armin Haller (Australian Na onal University, Australia)
Keynote Talk VII
VRank: A New Algorithm to Compute the Influence of Users and Posts in Online
Social Networks
Arindam Pal (Data61, CSIRO, Australia)
Coffee Break
S03203‐‐KIDNet: A Knowledge‐Aware Neural Network Model for Academic
Performance Predic on
Tao Tang, Jie Hou, Teng Guo, Xiaomei Bai, Xue Tian, and Azadeh Noori Hoshyar
S03204‐‐Network Comple on with Auto‐regressive Graph Genera ve Model
Shiyu Han, Jiaying Liu, Bo Xu, Lianhua Chi, and Ching‐Hsien Hsu
WI311‐‐Matching Social Issues to Technologies for Civic Tech by Association Rule
Mining using Weighted Causal Confidence
Masato Kikuchi, Shun Shiramatsu, Ryota Kozakai, and Tadachika Ozono
S03201‐‐A Computational Agent Model for Temporal Dynamic Analysis in Virtual
Community Cohesion
Azizi Ab Aziz, Nor Iadah Yusop, Zahurin Mat Aji, and Zulkhairi Md Dahalin
Closing

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

20 mins

Spatial temporal data management and visualization for food and strategic reserves
Zoom Link Reference: Zoom 2: 819 052 0425
Chair: Bo Mao
Yansheng Qu, Xingfang Cheng, Yunxiao Wang, Hua Sheng, Wenbin Zhang, Lu Hou, Jian
Meng, and Xie Wang
S02201‐‐User and Service Classification in Power Grid Management System based on
Random Forest

17

0900‐1000

0600‐0700
20 mins

20 mins
1000‐1020

0700‐0720

20 mins
20 mins1020‐1100

0720‐0800
20 mins

Ming Li, Xingwang Han, Hua Huang, Jinchao Ni, Bo Cui, Hui Cheng, Mingfeng Liu, and
Xie Wang
S02202‐‐Improved LSTM Spatial‐temporal Prediction Method for Power Grid IoT
AnalysisNing Li, Xue Liu, Ziyan Liu, Lin Mao, Lina Zhao, and Xie Wang
S02203‐‐Anomaly Detection in Power Grid IoT System based on Isolated Forest
Coffee Break
Guanqun Yang, Qiang Ma, Meng Liu, Qiang Zhangiu, Hao Xu, and Xiaolu Chen
S02204‐‐The Unified Authority Platform based on High Performance Blockchain
Bingchan Li, Hongtao Ma, and Bo Mao
S02205‐‐Multi‐user Online Three‐Dimensional Marine Oil Spill Crisis Response System

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

20 mins

0900‐1000

0600‐0700

20 mins

20 mins

1000‐1020

0700‐0720

20 mins

SMA4H: Social Media Analytics for Health intelligence (SMA4H): how artificial
intelligence transforms healthcare
Zoom Link Reference: Zoom 3: 9109287030
Chairs: Carmela & Agostino Forestiero
Che‐Yu Chang and Shelley Zhang
S09201‐‐Analyzing the Association between Stroke and Chronic Diseases with Data
MiningAryana Collins Jackson, Elisabetta Bevacqua, Pierre De Loor, and Ronan Querrec
WI262‐‐A Computational Interaction Model for a Virtual Medical Assistant Using
Situational Leadership
Saulo Mendes de Melo, André Lima Férrer de Almeida, Lívia Almada Cruz, and Ticiana
Linhares Coelho da Silva
WI326‐‐A Chat Recommender System for COVID‐19 Support based in Textual
Sentence Embeddings
XPERT4CQA: First International Workshop on Expert Recommendation forCommunity Question Answering
Chair: Riccardo Ortale
Aman Lamichhane, Rupesh Bardewa, Komaljeet Kaur, and Nandini Sidnal
S10201‐‐Recommendation System

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +80900‐1020

0600‐0720

1020‐1040

0720‐0740

1040‐1140

0740‐0840

Duration
20 mins
20 mins
20 mins
20 mins
20 mins
20 mins
20 mins
20 mins

Special Track on Spatial Track on Computational Complexity
Zoom Link Reference: Zoom 4: 533 781 6805
Chair: Jing He
Keynote speech 1: Prof. Xinghuo Yu
Keynote speech 2: Prof. Phoebe Chen
Keynote speech 3: Prof. Javen Qinfeng Shi
Keynote speech 4: Prof. Shiyang Huang
Coffee BreakYuanyuan Wu, Chi‐Hung Chi, Effective Personalized Taxonomy Pruning for
Identification of Relevant Knowledge Domain for Knowledge Support of User
Qiwei Kong, Linear Adjusting Programming in Factor Space
Mengjiao Guo, A Subgraph Isomorphism‐based Attack Towards Social Networks

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration
20 mins

20 mins
1300‐1420

1000‐1120
20 mins

20 mins

NLPOE2021: 14th Natural Language Processing and Ontology Engineering
Zoom Link Reference: Zoom 2: 819 052 0425
Chair: Yang Zhou
Li Liu and Xuebo Li
S06202 ‐ Bibliometric Analysis of TCM Knowledge Engineering Based on CNKI
Li Liu and Xuebo Li
S06203 ‐ Research and Construction of Classical Formulas Knowledge Graph Based on
Ontology
13:40 ‐‐ 14:00 Ying Zhou, Yang Zhou, Juntong Dai, and Xun Qin
Corpus Annotation Research on Ancient Chinese Materia Medica Oriented to the
System of Textual Knowledge Graph of Ancient Chinese Medical Literatures—Taking
Shen Nong Ben Jing Jiao Zhu as An Example
Qingxu Wang, Rui Chen, and HuaJun He
S06209 ‐ Study on the Personalized Recommendation Technology of Meteorological
Network Course Resources

18

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

20 mins
1300‐1400

1000‐1100

20 mins
20 mins

DASM21: International Workshop on Data Analytics on Social Media
Zoom Link Reference: Zoom 3: 9109287030
Chair: Yue Xu
Flore Vancompernolle Vromman and François Fouss
S07202‐‐Filter bubbles created by collaborative filtering algorithms themselves, fact
or fiction?
Carson Leung
WI386‐‐A web intelligent solution to support recommendations from the web
Shuyan Liu and Yue Chen
WI224‐‐Comparison of Variant Principle Component Analysis Using New RNN‐based
Framework for Stock Prediction

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

1300‐1330

30 mins

1330‐1400

30 mins

20 mins

20 mins
1400‐1520

WImBI21: Web Intelligence meets Brain Informatics
Zoom Link Reference: Zoom 4: 533 781 6805
Chair: Jiajin Huang
Opening Addressed by Ning Zhong

Duration

1100‐1220
20 mins
20 mins

Invited Talk: Data‐Brain Driven General Intelligence Model with Smart HealthApplications, by Hongzhi Kuai
Jianzhuo Yan, Qingcai Gao, Jianhui Chen, and Yongchuan Yu
S14205‐‐A Water Quality Prediction Model Based on Knowledge‐ enhanced Deep
Adversarial Network
Mengzhen Wang, Jianhui Chen, and Shaofu Lin
S14206‐‐Medication Recommendation Based on a Knowledge‐enhanced Pre‐training
Model
Lianfang Ma, Jianhui Chen, and Ning Zhong
S14207‐‐Analyzing Neural Correlates Between Number Series and Letter Series
Induction Based on Data‐Brain Driven Integration Evidence
Haiyan Zhou, Zezhou Zhao, Ziheng Gao, Lei Feng
S14208‐‐Identification of Depression Subtypes Based on EEG and Machine Learning

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration
20 mins

1300‐1400

1000‐1100

20 mins

20 mins

AI4SG: International Workshop on AI for Social Good in the Connected World
Zoom Link Reference: Zoom 5: 559 326 8361
Chair: Yang Liu
Lizhong Yao and Tiantian He
S15201‐‐Fuzzy Community Detection with Multi‐View Correlated Topics
Zhuanghu Lv, Jing Li, Dafeng Liu, Yue Peng, and Benyun Shi
S15202‐‐STANN: Spatio‐Temporal Attention‐based Neural Network for Epidemic
Prediction
Hao Xu, Fan Zhang, Zhanwei Du, and Li Tao
S15203‐‐Insight into the mobility patterns under the COVID‐19: A time‐sequencebased approach

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration
20 mins

1500‐1600

1200‐1300

20 mins

IDP: 10th International Workshop on Intelligent Data Processing
Zoom Link Reference: Zoom 2: 819 052 0425
Session Co‐Chairs: Paolo Mengoni, Kristen Yuanxi Li & Haolan Zhang
Yuhan Gu and Zhenbiao He,
S08202‐‐Consumer research based on the consumption of IP virtual derivatives.
Jing Bao,
S08207‐‐Playbour in the digital games:A case study of Fantasy Westward Journey.

1920 mins
20 mins
1600‐1640

1300‐1340
20 mins
20 mins

1640‐1740

1340‐1440

20 mins

20 mins
1740‐1745

1440‐1445

5 minsChun Yin Tsui and Paolo Mengoni,
S08203‐‐A Case Study of Clustering and Visualization With Clickstream Data Using
UX2Vec.
Mingzhen Ding, Ziyi Liu, Guohui Xu, Shudong Ding, and Hao Lan Zhang,
S08204‐‐EEG Spatial Analysis based on Brain thermogram Image Recognition.
Yan Liu, Zhihui Zhang, Baiying Xing, Jing Yuan, Haolan Zhang, and Chunyu Feng,
S08208‐‐An enhanced ARIMA model for EEG classification.
S08201‐‐A Method for Recognizing and Counting Residual Bait of Penaeus Vannamei
Based on Deep Learning
Jie Wang, Huaiwei Cong, Xin Wei, Baolian Qi, Jinpeng Li, and Ting Cai,
S08205‐‐X‐ray Image Blind Denoising in Hybrid Noise Based on Convolutional Neural
Networks. Paper ID:
Xinbo Ren, Haiyuan Wu, Toshiyuki Imai, Yuxia Zhao, and Takashi Kubo,
S08206‐‐Semantic Segmentation of Atherosclerosis in Superficial Layer of IVOCTImages Using Deep Learning.
Workshop Closing Remark (Paolo Mengoni)

Tuesday, 14 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

1755‐1800

1455‐1500

5 mins20 mins

20 mins
1800‐1920

1500‐1620
20 mins

20 mins
1920‐1940

1620‐1640

20 mins
20 mins
20 mins

1940‐2100

1640‐1800

20 mins

20 mins
2100‐2105

1800‐1805

5 mins

ABCSS2021: The 6th International Workshop on Application of Big Data for
Computational Social Science
Zoom Link Reference: Zoom 3: 9109287030
Workshop Opening (Fujio Toriumi)
Shunsuke Hatadani
S05205‐‐Proposal for a Mathematical Model of the Hit Phenomenon Using
Cumulative Values of Data
Amit Gill, Maddegedara Lalith, Yoshiki Ogawa, Hideyuki Otani, Tsuyoshi Ichimura,
Kohei Fujita, Filippo Gatti, and Muneo Hori
S05207‐‐Seamless Simulations of Earthquake Disasters and Economy at 1:1 scale
Utilizing Big‐data
Kenta Tsukatsune, Tatsuya Konishi, Yuto Mizutani, Mori Kurokawa, Shuichiro Haruta,
and Tomoaki Saito
S05209‐‐Does Activeness Originate in Individuals or Groups? Analysis of theInterrelationships between Network Indices and Posts Using Multilevel Cross‐Lagged
Model
Atsushi Ueshima and Hiroki Takikawa
S05201‐‐Analyzing Vaccination Priority Judgments for 132 Occupations Using Word
Vector Models
Coffee BreakKunihiro Miyazaki, Takayuki Uchiba, Kenji Tanaka, and Kazutoshi Sasahara
S05203‐‐Characterizing the Anti‐Vaxxers&#039; Reply Behavior on Social Media
Johannes Schneider, Gramoz Sejfijaj, and Jan vom Brocke
S05204‐‐COVID‐19 Vaccine Discussion: Evidence from Twitter data using Text Mining
Takuro Okada, Fujio Toriumi, and Maki Sakamoto
S05208‐‐A Study on Emotional Analysis Focusing on Onomatopoeia Used on SNS for
the COVID‐19
entaro Ueda, Kodai Sasaki, Hirohiko Suwa, Yuki Ogawa, Eiichi Umehara, Tatsuo
Yamashita, Kota Tsubouchi, and Keiichi Yasumoto
S05212‐‐Prediction of Nikkei VI increase for reducing investment risk using Yahoo!
JAPAN stock BBS
Workshop Closing and Remark (Akira Ishii)

Thursday, 16 December 2021
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

1815‐1825

1515‐1524

10 mins

1830‐1850

1530‐1550

20 mins

ACER: International Workshop on Affective Computing and Emotion(Zoon Link reference: Zoom 1: 974 366 3655)
Organizing Chair: Valentina Franzoni
welcome to authors and public, roll call for presences, Giulio Biondi from Italy(GMT+1 8.15‐8.25)
Niccolò Di Marco from Italy (GMT+1 8.30‐8.50)
Valentina Franzoni, Niccolò Di Marco, Giulio Biondi, and Alfredo Milani
S12203‐‐How Virtual Reality Influenced Emotional Well‐being Worldwide During
theCovid‐19 Pandemics

201855‐1935

1555‐1635

40 mins

1940‐2000

1640‐1700

20 mins

2005‐2035

1705‐1735

30 mins

20 mins2040‐2150

1740‐1850

20 mins
20 mins2155‐2200

1855‐1900

5 minsKeynote, Valentina Franzoni (University of Perugia, Italy, GMT+1 8.55‐9.35)
Emotional Semantics in Artificial Intelligence
Alfredo Milani from Italy (GMT+1 9.40‐10.00)
Valentina Franzoni, Alina Elena Baia, Giulio Biondi, and Alfredo Milani
S12205‐‐Producing Artificial Male Voices with Maternal Features for Relaxation
Keynote, Prof. Jordi Vallverdú (Autonomous University of Barcelona, Spain, GMT+1
10.05‐10.35)
Multimodal Senses Integration Answering to Pain (and other Emotional) Events in HRI
Scenarios
FangFang Zhu‐Zhou from Spain (GMT+1 .10.40‐11.00)
Fangfang Zhu‐Zhou, Roberto Gil‐Pita, Joaquín García‐Gómez, and Manuel Rosa‐
ZureraIlia Zaitsev, Netherlands (GMT+1 11.05‐11.25)
S12202‐‐Affect‐Predictive Models: Predicting Emotional Responses Directly to Stimuli
Akash Pawar, India (GMT+5.30 16.00‐16.20)
S12201‐‐Personality Correlates, Emotional Intelligence among Late Indian
Adolescents with Internet Addiction
Workshop closing remarks and greetings, Giulio Biondi from Italy (GMT+1 11.55‐
12.00)

21

Main Conference Technical Program

22

WI‐IAT 2021 MAIN CONFERENCE TECHNICAL PROGRAM AT A GLANCE
Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

Wednesday, 15 December 2021

0845‐0900

0545‐0600

15 mins

Openning ceremony (Zoom 1, YouTube & Tencent)

0900‐0950

0600‐0650

50 mins

WI 20Y Turing Award Laureate Keynote: Leslie Valiant (Boston time: 5‐6pm, 14 Dec) (Zoom 1, YouTube & Tencent)

0950‐1000

0650‐0700

10 mins

Coffee break

1000‐1200

0700‐0900

120 mins

1200‐1300

0900‐1000

60 mins

Lunch time

1300‐1350

1000‐1050

50 mins

Invited Keynote: Bryan Low (Singapore time: 10‐11am, 15 Dec) (Zoom 1, YouTube & Tencent)1350‐1400

1050‐1100

10 mins

Coffee break

1400‐1550

1100‐1250

110 mins

1550‐1600

1250‐1300

10 mins

Coffee break

1600‐1650

1300‐1350

50 mins

Invited Keynote: Athena Vakali (Thessaloniki time: 7‐8am, 15 Dec) (Zoom 1, YouTube & Tencent)

1650‐1700

1350‐1400

10 mins

WEB OF PEOPLE 1(Zoom 1)WEB OF AGENTS 1(Zoom 2)WEB OF PEOPLE 2(Zoom 1)WEB OF DATA 2(Zoom 2)WEB OF DATA 1(Zoom 3)

WEB OF DATA 3(Zoom 3)Coffee break
WI 20Y Anniversary Special Session
WI 20Y Turing Award Laureate Keynote: Joseph Sifakis (Paris time: 7‐8am, 15 Dec) (Zoom 1, YouTube & Tencent)

1700‐1750

1400‐1450

50 mins

1750‐1805

1450‐1505

15 mins

WI 20Y Awards (Zoom 1, YouTube & Tencent)

1805‐1820

1505‐1520

15 mins

WI 20Y Most Influential Paper Award & Invited Talk (Zoom 1, YouTube & Tencent)
WI 20Y Remarks (Zoom 1, YouTube & Tencent)

1820‐1830

1520‐1530

10 mins

Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

Thursday, 16 December 2021

0900‐0950

0600‐0650

50 mins

WI 20Y Keynote: Tom Mitchell (Pittsburgh time: 5‐6pm, 15 Dec) (Zoom 1, YouTube & Tencent)

0950‐1000

0650‐0700

10 mins

Coffee break

1000‐1100

0700‐0800

60 mins

1100‐1500

0800‐1200

240 mins

1500‐1630

1200‐1330

90 mins1630‐1640

1330‐1340

10 mins

1640‐1820

1340‐1520

100 mins

Melbourne Time
UTC/GMT +11

BJ/HK/SG/TW Time
UTC/GMT +8

Duration

0900‐1020

0600‐0720

80 mins1020‐1030

0720‐0730

10 mins1030‐1200

0730‐0900

90 mins

1200‐1300

0900‐1000

60 mins

Lunch time

1300‐1350

1000‐1050

50 mins

Invited Keynote: Xin Geng (Beijing Time: 10‐11am, 17 Dec) (Zoom 1, YouTube & Tencent)1350‐1400

1050‐1100

10 mins

Coffee break

1400‐1520

1100‐1220

80 mins1520‐1530

1220‐1230

10 mins1530‐1700

1230‐1400

90 mins

1700‐1710

1400‐1410

10 mins

Coffee break

1710‐1800

1410‐1500

50 mins

WI 20Y Keynote: Frank van Harmelen (Amsterdam 7‐8am, 17 Dec) (Zoom 1, YouTube & Tencent)

1800‐1830

1500‐1530

30 mins

Closing Ceremony: Best Paper Awards Ceremony and WI‐IAT 2022 Announcement (Zoom 1, YouTube & Tencent)

WEB OF DATA 4(Zoom 1)WEB OF THINGS(Zoom 2)WEB OF AGENTS 2(Zoom 3)

WI 20Y Anniversary and WI‐IAT 2021 Banquet (offline mode)

SPECIAL TRACK: EMERGING WEB IN HEALTHAND SMART LIVING(Zoom 2)WEB OF DATA 5(Zoom 1)WEB OF AGENTS 3(Zoom 3)Coffee break
WEB OF DATA 6(Zoom 1)WEB OF TRUST(Zoom 2)WEB OF PEOPLE 3(Zoom 3)Friday, 17 December 2021

WEB OF PEOPLE 4(Zoom 1)WEB OF DATA 7(Zoom 2)
Coffee break

WEB OF PEOPLE 5(Zoom 1)WEB OF DATA 8(Zoom 2)WEB OF AGENTS 3(Zoom 1)WEB OF DATA 9(Zoom 2)
Coffee break

WEB OF PEOPLE 6(Zoom 1)WEB OF DATA 10(Zoom 2)23

WI‐IAT 2021 MAIN CONFERENCE TECHNICAL PROGRAM
MelbourneTime0845‐0900

BJ/HK/SG/TW Time
Duration
UTC/GMT +80545‐0600

15 mins

Opening ceremony
Chair: Jing He
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH
WI 20Y Turing Award Laureate Keynote: How to Augment Learning with Reasoning, by Leslie Valiant (Boston time: 5pm, 14 Dec)
Chair: Jing He
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

0900‐0950

0600‐0650

50 mins

0950‐1000

0650‐0700

10 mins

1000‐1200

0700‐0900

Wednesday, 15 December 2021

120 mins

Coffee break
Session A: WEB OF PEOPLE 1
Chair: Juan D. Velásquez(Zoom 1: 974 366 3655)

Session B: WEB OF AGENTS 1
Chair: Hemant Purohit(Zoom 2: 819 052 0425)

Session C: WEB OF DATA 1
Chair: Marek Reformat(Zoom 3: 910 928 7030)

WI214 "Emotion‐based Modeling of Mental
Disorders on Social Media"
Xiaobo Guo, Yaojia Sun, and Soroush
Vosoughi

WI210 "Multi‐Agent Pickup and Delivery with
Task Deadlines"
Xiaohu Wu, Yihao Liu, Xueyan Tang,
Wentong Cai, Funing Bai, Gilbert Khonstantine,
and Guopeng Zhao

WI288 "Plusmine: Dynamic Active Learning with
Future‐proof Semi‐Supervised Learning for
Automatic Classification"
Jan Klein, Sandjai Bhulai, Mark
Hoogendoorn, and Rob Van der Mei

Event

WI232 "EMDKG: Improving Accuracy‐Diversity
Trade‐Off in Recommendation with EM‐based
Model and Knowledge Graph Embedding"
Lu Gan, Diana Nurbakova, Léa Laporte, andSylvie Calabretto

WI218 "Learning Equilibrium Contributions in
Multi‐project Civic Crowdfunding"Manisha Padala, Sankarshan Damle, andSujit Gujar

WI290 "Efficient Query Obfuscation with
Keyqueries"
Maik Fröbe, Eric Oliver Schmidt, andMatthias Hagen

KeynoteSpeech45+5 mins

WI239 "Probabilistic Embedding for Collaborative
Reasoning"
Huanhuan Yuan, Jian Yang, Jiajin Huang,
and Ning Zhong

WI220 "Local Maxima in ADCOPs via Side
Payments"
Yair Vaknin and Amnon Meisels

WI295 "Improving Topic Modeling Performancethrough N‐gram Removal"
Mohamad Almgerbi, Andrea De Mauro,
Adham Kahlawi, and Valentina Poggioni

Regularpresentation
20+5 mins

WI211 "Analyzing the Preferences and Personal
Needs of Teenage Readers to Make Book
Recommendations"
Sophie Gao and Yiu‐Kai Ng

WI307 "Mechanism Design without Money for
Fair Allocations"
Manisha Padala and Sujit Gujar

WI308 "An Approach Based on Semantic
Similarity to Explaining Link Predictions on
Knowledge Graphs"
Claudia d'Amato, Pierpaolo Masella, andNicola Fanizzi

Short
presentation
12+3 mins

WI238 "AFFORCE: Actionable Framework for
Designing Crowdsourcing Experiences for Older
Adults"Kinga Skorupska, Radosław Nielek, andWiesław Kopeć

WI291 "An Agent Supporting Symptom
Elicitation in Physician‐Patient Dialogue"
Marco Lanciotti, Catherine Escazut, Célia
da Costa Pereira, Claudio Sartori, and Emanuele
Galasso

WI377 "Bias detection in Wikipedia articles. A
study on Polish and English Datasets."
Weronika Stankiewicz, Katarzyna Baraniak,
and Marcin Sydow

WI250 "Analyzing Features of Passive Twitter's
Users to Estimate Passive Twitter‐User's
Interests"
Tessai Hayama
1200‐1300

Lunch time

0900‐1000

60 mins

1300‐1350

1000‐1050

Invited Keynote: Trusted data sharing – incentivizing collaboration and rights to be forgotten in machine learning, by Bryan Low (Singapore time:
10am, 15 Dec)
Chair: Yuefeng Li
50 mins
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

1350‐1400

1050‐1100

10 mins

Coffee break
Session D: WEB OF PEOPLE 2
Chair: Bo Mao(Zoom 1: 974 366 3655)

Session E: WEB OF DATA 2
Chair: Xiaoyign Gao(Zoom 2: 819 052 0425)

WI222 "Linked Data Ground Truth for
WI255 "A Label Extension Schema for Improved
Quantitative and Qualitative Evaluation of
Text Emotion Classification"
Explanations for Relational Graph Convolutional
Zongxi Li, Xianming Li, Haoran Xie, Qing Li, Network Link Prediction on Knowledge Graphs"
and Xiaohui Tao
Nicholas Halliwell, Fabien Gandon, andFreddy Lecue

1400‐1550

1100‐1250

110 mins

Session F: WEB OF DATA 3
Chair: Hongzhi Kuai
(Zoom 3: 910 928 7030)

WI309 "Neural text generation for query
expansion in information retrieval"
Vincent Claveau

WI285 "Analysis of Leading Communities
WI227 "A Learning Framework with Disposable WI322 "On the Impact of Dataset Size: A Twitter
Contributing to arXiv Information Distribution on
Classification Case Study"
Auxiliary Networks for Early Prediction of
Twitter"Thi Huyen Nguyen, Hoang H. Nguyen,
Product Success"Kyosuke Shimada, Kazuhiro Kazama,
Chih‐Ting Yeh, Zhe‐Li Lin, Sheng‐Chieh Lin, Zahra Ahmadi, Tuan‐Anh Hoang, and Thanh‐Nam
Mitsuo Yoshida, Ikki Ohmukai, and Sho Sato Jing‐Kai Lou, Ming‐Feng Tsai, and Chuan‐Ju Wang
Doan
WI289 "Cross‐Domain Attentive Sequential
WI380 "Assessing the use of attention weights to
Recommendations based on General and Current
interpret BERT‐based stance classification"
User Preferences (CD‐ASR)"
Carlos Abel Córdova Sáenz and Karin
Nawaf Alharbi and Doina Caragea
Becker

WI324 "CADPP: An Effective Approach to
Recommend Attentive and Diverse Long‐tailItems"
Shuai Tang and Xiaofeng Zhang

WI333 "Study of Context‐based Personalized
WI242 "Sequential Patterns for Spatio‐Temporal
Recommendations for Points of Interest"
Traffic Prediction"
WI341 "How to Churn Deep Contextual Models?"
Gaetano Manzo, Davide Calvaresi, Jean‐
Feda Almuhisen, Nicolas Durand, Leonardo
Mohammad Hasan
Paul Calbimonte, Esteem Okoro, and Michael
Brenner, and Mohamed Quafafou
Schumacher
WI342 "Improvement of User's Attitude toward
WI248 "Credible Text Summarization in Social
Decision‐Making Task by Multimodal Implicit
Media"
Expressions of Agent's Subjective Attitude"
Francesco Amedeo Emanuele Talarico andYoshimasa Ohmoto, Mineya Kaseda, andMarco Viviani
Toyoaki Nishida
1550‐1600

1250‐1300

10 mins

Coffee break

1600‐1650

1300‐1350

50 mins

Invited Keynote: Online social networks bot detection services and technologies: How can social bots be detected in today’s online mistrusted
platforms? By Athena Vakali (Thessaloniki time: 7am, 15 Dec)
Chair: Xiaohui Tao
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

1650‐1700

1350‐1400

10 mins

Coffee break24

LegendWI 20Y Anniversary Special Session

1700‐1750

1400‐1450

50 mins

WI 20Y Turing Award Laureate Keynote: Why is it so hard to make self‐driving cars? (Trustworthy autonomous systems), by Joseph Sifakis (Paristime: 7am, 15 Dec)
Chair: Gabriella Pasi
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

1750‐1805

1450‐1505

15 mins

WIC WI 20Y Awards
Chair: Ning Zhong
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

1805‐1820

1505‐1520

15 mins

WI 20Y Most Influential Paper Award & Invited Talk
Chair: Yuefeng Li
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

1820‐1830

1520‐1530

10 mins

WI 20Y Anniversary Remarks
Chair: Ning Zhong
Zoom 1: 974 366 3655
Link 1: https://youtu.be/q5OWrlDqmpc
Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

Melbourne
Time

BJ/HK/SG/TW Time
Duration
UTC/GMT +80900‐0950

0600‐0650

50 mins

0950‐1000

0650‐0700

10 mins

Thursday, 16 December 2021
WI 20Y Keynote: Can We Replace Programming Languages by Natural Instruction? By Tom Mitchell (Pittsburgh time: 5pm, 15 Dec)
Chair: Xiaohui Tao
Zoom 1: 974 366 3655
Link 1: https://youtu.be/‐dM9a1hbiNA
Link 2: https://meeting.tencent.com/l/HCyW9B6l6rjx
Coffee break
Session H: WEB OF THINGS
Chair: Fang Wang
(Zoom 2: 819 052 0425)

Session G: WEB OF DATA 4
Chair: Mahdi Hashemi(Zoom 1: 974 366 3655)

1000‐1100

0700‐0800

60 mins

Session I: WEB OF AGENTS 2
Chair: Yuheng Jia(Zoom 3: 910 928 7030)

Legend

WI372 "Using Grammar‐Based Genetic
Programming for Mining Subsumption Axioms
Involving Complex Class Expressions"Remi Felin and Andrea G. B. Tettamanzi

WI216 "From CIC‐IDS2017 to LYCOS‐IDS2017: A
corrected dataset for better performance"
Arnaud ROSAY, Florent CARLIER, Eloïse
CHEVAL, and Pascal LEROUXWI221 "Bargaining Chips: Coordinating One‐to‐Many Concurrent Composite Negotiations"
Tim Baarslag, Tijmen Elfrink, Faria Nassiri
Mofakham, Thimjo Koça, Michael Kaisers, andReyhan Aydogan

WI230 "Quantifying Urban Safety Perception on
Street View Images"
Felipe Moreno, Bahram Lavi, and Jorge
Poco

WI267 "A Framework for Internet Connectivity
Risk Assessment Based on Graph Models"Tatiana Ermakova, Benjamin Fabian, David
Alexander Fradin, and Sebastian Gross

WI320 "A personalized agent‐based chatbot for
nutritional coaching"Davide Calvaresi, Stefan Eggenschwiler,
Jean‐Paul Calbimonte, Gaetano Manzo, andMichael Schumacher

KeynoteSpeech45+5 mins

WI271 "A systematic approach to identify the
information captured by Knowledge Graph
Embeddings"
Antonia Ettorre, Anna Bobasheva,
Catherine Faron, and Franck Michel

WI315 "Course Allocation with Friendships as an
WI334 "VOISMA: Indoor Location Identification Asymmetric Distributed Constraint Optimization
for Voice‐based Smart Home"
Problem"
Mahda Noura and Martin Gaedke
Ilya Khakhiashvili, Tal Grinshpoun, and Lihi
Dery

Regularpresentation
20+5 mins

Event

Short
presentation
12+3 mins
1100‐1500

0800‐1200

240 mins

WI 20Y Anniversary and WI‐IAT 2021 Banquet (offline mode)

Session J: WEB OF DATA 5
Chair: Manas Gaur
(Zoom 1: 974 366 3655)

Session K: SPECIAL TRACK: EMERGING WEB IN
HEALTH AND SMART LIVING
Chair: James Wang
(Zoom 2: 819 052 0425)

Session L: WEB OF AGENTS 3
Chair: Yue Xu(Zoom 3: 910 928 7030)

WI235 "Counterfactual Contextual Multi‐Armed WI204 "Self Sovereign Identity and User Control
WI229 "Comparing Decentralized Algorithms forBandit to Diagnose Post‐Harvest Diseases offor Privacy‐Preserving Contact Tracing"
Dynamic Task Sharing among Agents withApple"
Wenting Song, Razieh Nokhbeh Zaeem,
Limited Resources"
Gabriele Sottocornola, Fabio Stella, and David Liau, Kai Chih Chang, Michael R. Lamison,
Hisashi Hayashi
Markus Zanker
Manah M. Khalil, and K. Suzanne Barber

1500‐1630

1200‐1330

90 mins

WI241 "A Framework of Duplicate Detection
from Online Job Postings"
Yanchang Zhao, Haohui Chen, and Claire
Mason

WI283 "Disease Classification on Admission and WI226 "Redistribution in Public Project Problems
on Discharge with Residual CNN‐Transformer"
via Neural Networks"
Guanhua Wang, Wuli Zuo, and Mingyu
Yu‐Ting Lin, Sheng‐Lun Wei, Hen‐Hsen
Guo
Huang, Hui‐Chih Wang, and Hsin‐Hsi Chen

WI397 "Tri‐skill variant Simplex and strongly
polynomial‐time algorithm for linear
programming"
Wang Pei‐zhuang, He Jing, and Kong Qi‐
wei

WI385 "STRETCH: Stress and Behavior Modelingwith Tensor Decomposition of Heterogeneous
Data"
Chunpai Wang, Shaghayegh Sahebi, andHelma Torkamaan

WI364 "Balancing Team Membership andIndependent Activity for Robots in Dangerous
Domains"
Seth Fiawoo and John Anderson

WI281 "Product Information Browsing Support
System Using Analytic Hierarchy Process"Weijian Li, Masato Kikuchi, and Tadachika
Ozono
1630‐1640

1330‐1340

10 mins
Session M: WEB OF DATA 6
Chair: Muhammad Abulaish(Zoom 1: 974 366 3655)

Coffee break
Session N: WEB OF TRUST
Chair: Wen Zhang(Zoom 2: 819 052 0425)

25

Session O: WEB OF PEOPLE 3
Chair: Hao Chen
(Zoom 3: 910 928 7030)

WI387 "A Text Generation Model that Maintains
the Order of Words, Topics, and Parts of Speech
via Their Embedding Representations and Neural
Language Models"Noriaki Kawamae

1640‐1820

1340‐1520

WI217 "Blockchain‐Based Self‐Sovereign Identity:
Survey, Requirements, Use‐Cases, and
WI362 "Addressing Scalability Issues in Semantics‐
Comparative Study"
Driven Recommender Systems"
Razieh Nokhbeh Zaeem, Kai Chih Chang,
Mounir M. Bendouch, Flavius Frasincar,
Teng‐Chieh Huang, David Liau, Wenting Song,and Tarmo Robal
Aditya Tyagi, Manah Khalil, Michael Lamison,
Siddharth Pandey, and K. Suzanne Barber

WI389 "Evolving Multi‐view Autoencoders for
Text Classification"
Tuan Ha and Xiaoying Gao

WI265 "Fake News Detection via Biased User
Profiles in Social Networking Sites"
Ryoya Furukawa, Daiki Ito, Yuta Takata,
Hiroshi Kumagai, Masaki Kamizono, Yoshiaki
Shiraishi, and Masakatu Morii

WI382 "A Teacher‐Student Approach to Cross‐
Domain Transfer Learning with Multi‐level
Attention"
Ying‐Jhe Tang and Hen‐Hsen Huang

WI360 "Recommending Multiple Positive
Citations for Manuscript via Content‐Dependent
100 mins
Modeling and Multi‐Positive Triplet"
Yang Zhang and Qiang Ma

WI275 "Segmentation‐based Phishing URL
Detection"
Eint Sandi Aung and Hayato Yamana

WI277 "Online Classroom Evaluation System
Based on Multi‐Reaction Estimation"
Yanyi PENG, Masato Kikuchi, andTadachika Ozono

WI395 "Relation Extraction with Sentence
WI310 "Taking Another Look at the Use of Bloom
Simplification Process and Entity Information"
Filters in Bitcoin"
Mohammad Sahand Parniani and Marek Z.
George Vlahavas, Kostas Karasavvas, andReformatAthena Vakali

WI335 "Visualization of POI Competitiveness
Using Extracted Kyoto Map Tiles from Social
Media Response Since COVID‐19"
Huaze Xie, Da Li, Yuanyuan Wang, andYukiko Kawai

WI297 "Operationalizing Rule‐Based Socio‐
Ethical Behaviour in IoT Collectives: a Policy
Management Approach"Amna Batool, Seng W.Loke, Niroshinie
Fernando, and Jonathan Kua

WI330 "Applying Benford's Law as an Efficientand Low‐cost Solution for Verifying the
WI304 "Context‐dependent Features Fusion with
Authenticity of Students' Video Streams in
BERT for Evaluating Multi‐Turn Customer‐
Learning Management Systems"
Helpdesk Dialogues"
Argyris Constantinides, Christodoulos
Siu Hin NG, Yen‐Chun Huang, Sheng‐Jie Lin,and Yung‐Chun Chang
Constantinides, Marios Belk, Christos Fidas, andAndreas Pitsillides
WI274 "Do you trust the experts on Twitter?:
Successful correction of COVID‐19‐related
misinformation"
Dongwoo Lim, Fujio Toriumi, and Mitsuo
YoshidaMelbourneTime

0900‐1020

BJ/HK/SG/TW Time
Duration
UTC/GMT +80600‐0720

80 mins

Friday, 17 December 2021
Session P: WEB OF PEOPLE 4
Chair: Marek Reformat(Zoom 1: 974 366 3655)

Session Q: WEB OF DATA 7
Chair: Joanna Isabelle Olszewska(Zoom 2: 819 052 0425)

WI312 "Online Home Appliance Review Analysis
Via Adversarial Reptile"Tai Jung Kan and Chia‐Hui Chang

WI244 "Towards Better Evidence Extraction
Methods for Fact‐Checking Systems"
Pedro Azevedo, Gil Rocha, Diego Esteves,and Henrique Lopes Cardoso

Event

WI319 "“I'll be back”: Examining Restored
Accounts On Twitter"
Arnav Kapoor, Rishi Raj Jain, Avinash
Prabhu, Tanvi Karandikar, and Ponnurangam
Kumaraguru

WI247 "Climbing Route Difficulty Grade
Prediction and Explanation"
Marina Andric, Iustina Ivanova, andFrancesco Ricci

KeynoteSpeech45+5 mins

WI363 "Fine‐Tuning for Cross‐Domain Aspect‐
Based Sentiment Classification"
Stefan van Berkum, Sophia van Megen,
Max Savelkoul, Pim Weterman, and Flavius
Frasincar

WI348 "Enhance while protecting: privacy
preserving image filtering"
Diego Arcelli, Alina Elena Baia, Alfredo
Milani, and Valentina Poggioni

Regularpresentation
20+5 mins

WI352 "Recycling Numeracy Data Augmentation
with Symbolic Verification for Math Word
Problem Solving"
Tien‐Yi Jen, Hen‐Hsen Huang, and Hsin‐Hsi
Chen
Coffee break
Session S: WEB OF DATA 8
Chair: Peng Zhang(Zoom 2: 819 052 0425)

WI379 "Interpretable Mining of Influential
Patterns from Sparse Web"
Carson Leung, Connor Hryhoruk, and Yibin
Zhang
1020‐1030

0720‐0730

10 mins
Session R: WEB OF PEOPLE 5
Chair: Xiaohui Tao(Zoom 1: 974 366 3655)

WI268 "TTNet: Tabular Transfer Network for Few‐
WI245 "Diverse Reviewer Suggestion forsamples Prediction"
Extending Conference Program Committees"
Christin Katharina Kreutz, Krisztian Balog,
Zhao Li, Donghui Ding, Xuanwu Liu, Pengand Ralf Schenkel
Zhang, Youxi Wu, and Lingzhou Ma

1030‐1200

0730‐0900

WI251 "Automatic Generation of Event Ontology
from Social Network and Mobile Positioning
Data"
Landy Rajaonarivo, Tsunenor Mine, andYutaka Arakawa

WI270 "Unsupervised Tree Extraction in
Embedding Spaces for Taxonomy Induction"
François Torregrossa, Robin Allesiardo,
Vincent Claveau, and Guillaume Gravier

WI252 "Long‐term Characterization of PoliticalCommunications on Social Media"
Lucas Santos de Oliveira, Marcelo Santos
Amaral, and Pedro O. S. Vaz‐de‐Melo

WI273 "Combining Machine Learning With
Inductive Logic Learning To Detect Deviations
From Daily Routines In Ambient Intelligent
Environments"
Benjamin Duppe, Michael Meiser,
Alexander Anisimov, André Antakli, Muhammad
Muaz, and Ingo Zinnikus

90 mins

WI318 "Extraction and Analysis of Regionally
WI365 "Analysis of the Effect of the Number ofSpecific Behavioral Facilitation Information in the Bidders and Bidding Process on the End Price in a
Event of a Large‐scale Disaster"B2B Online Auction"
Kohei Hatamoto, Soichiro Yokoyama,
Futo Yamamoto, Yu Suzuki, and Akiyo
Tomohisa Yamashita, and Hidenori Kawamura
Nadamoto
1200‐1300

0900‐1000

60 mins

Lunch time

1300‐1350

1000‐1050

50 mins

Invited Keynote: Unleash the Power of Label Space: Label Enhancement for Label Distribution
Learning, by Xin Geng (Beijing time: 10am)
Chair: Hemant Purohit
Zoom 1: 974 366 3655
Link 1: https://youtu.be/ZiaMlcOIBYY
Link 2: https://meeting.tencent.com/l/VRoSwBu8Ofrc

1350‐1400

1050‐1100

10 mins

Coffee break

26

LegendShort
presentation
12+3 mins

1400‐1520

1100‐1220

80 mins

Session T: WEB OF AGENTS 3
Chair: Xujuan Zhou
(Zoom 1: 974 366 3655)

Session U: WEB OF DATA 9
Chair: Yang Gao(Zoom 2: 819 052 0425)

WI243 "Differentially Private Multi‐Agent
Constraint Optimization"
Sankarshan Damle, Aleksei Triastcyn, Boi
Faltings, and Sujit Gujar

WI261 "Event Causal Relationship Retrieval"
Yasunobu Sumikawa

WI263 "Blockchain‐based Practical Multi‐agent
Secure Comparison and its Application in
WI264 "Multi‐Task Neural Sequence Labeling for
Auctions"
Zero‐shot Cross‐Lingual Boilerplate Removal"
Sankarshan Damle, Boi Faltings, and Sujit
Yu‐Hao Wu and Chia‐Hui Chang
Gujar
WI219 "Q‐SMASH: Q‐Learning‐based Self‐
Adaptation of Human‐Centered Internet ofThings"Hamed Rahimi, Iago Felipe Trentin, Fano
Ramparany, and Olivier Boissier

1520‐1530

1530‐1700

1700‐1710

1220‐1230

1230‐1400

1400‐1410

Coffee break

10 mins

90 mins

WI356 "CURIOCITY Framework: Managing
Heterogeneous Cultural Heritage Data"
Alexander Pinto‐De la Gala, Yudith
Cardinale, and Irvin Dongo

Session V: WEB OF PEOPLE 6
Chair: Yi Zhou
(Zoom 1: 974 366 3655)

Session W: WEB OF DATA 10
Chair: Guangyan Huang(Zoom 2: 819 052 0425)

WI294 "Sentiment Analysis Tool to Detect Digital
Transformation Stress"
Ewa Makowska‐Tłomak, Radosław Nielek,
Kinga Skorupska, Julia Paluch, and Wiesław
Kopeć

WI278 "Clustering‐based Location Authority
Deep Model in the Next Point‐of‐Interest
Recommendation"
Tianxing Wang, Can Wang, Hui Tian, Alan
Wee‐Chung Liew, and Yunwei Zhao

WI299 "Efficient Representation of Interaction
Patterns with Hyperbolic Hierarchical Clustering
for Classification of Users on Twitter"
Tanvi Karandikar, Avinash Prabhu, Avinash
Tulasi, Arun Balaji Buduru, and Ponnurangam
Kumaraguru

WI279 "Quantum Reinforcement Learning
Applied to Board Games"
Miguel Teixeira, Ana Paula Rocha, andAntonio J.M. Castro

WI305 "Effective Candidate Selection andInterpretable Interest Extraction for Follower
Prediction on Social Media"
Seiji Maekawa, Santi Saeyor, Takeshi
Sakaki, and Makoto Onizuka

WI282 "Gated Character‐aware Convolutional
Neural Network for Effective Automated Essay
Scoring"
Huanyu Bai, Zhilin Huang, Anran Hao, and
Siu Cheung Hui

WI347 "Generalized Negative Sampling for
Implicit Feedback in Recommendation"
Yuki Yamanaka and Kazunari Sugiyama

WI374 "Novel Views on Novels: Embedding
Multiple Facets of Long Texts"
Lasse Kohlmeyer, Tim Repke, and Ralf
Krestel10 mins

Coffee break

1710‐1800

1410‐1500

50 mins

WI 20Y Keynote: Modular design patterns for systems that learn and reason, by Frank van
Harmelen (Amsterdam 7am, 17 Dec)
Chair: Rainer Unland
Zoom 1: 974 366 3655
Link 1: https://youtu.be/ZiaMlcOIBYY
Link 2: https://meeting.tencent.com/l/VRoSwBu8Ofrc

1800‐1830

1500‐1530

30 mins

Closing Ceremony: Best Paper Awards Ceremony and WI‐IAT 2022 Announcement
Chair: Ning Zhong & Jiming Liu
Zoom 1: 974 366 3655
Link 1: https://youtu.be/ZiaMlcOIBYY
Link 2: https://meeting.tencent.com/l/VRoSwBu8Ofrc

27

Main Conference Sessions and Presentations
Wednesday, 15 December 2021
Session A: Web of People 1
Chair: Juan D. Velásquez
Melbourne Time (UTC/GMT +11): 1000-1200; Zoom 1: 974 366 3655
1000-1025 (WI214) Emotion-based Modeling of Mental Disorders on Social Media, Xiaobo Guo, Yaojia
Sun, and Soroush Vosoughi
1025-1050 (WI232) EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based
Model and Knowledge Graph Embedding, Lu Gan, Diana Nurbakova, Léa Laporte, and Sylvie Calabretto
1050-1115 (WI239) Probabilistic Embedding for Collaborative Reasoning, Huanhuan Yuan, Jian Yang,
Jiajin Huang, and Ning Zhong
1115-1130 (WI211) Analyzing the Preferences and Personal Needs of Teenage Readers to Make Book
Recommendations, Sophie Gao and Yiu-Kai Ng
1130-1145 (WI238) AFFORCE: Actionable Framework for Designing Crowdsourcing Experiences for Older
Adults, Kinga Skorupska, Radosław Nielek, and Wiesław Kopeć
1145-1200 (WI250) Analyzing Features of Passive Twitter’s Users to Estimate Passive Twitter-User’s Interests, Tessai Hayama

Session B: Web of Agents 1
Chair: Hemant Purohit
Melbourne Time (UTC/GMT +11): 1000-1200; Zoom 2: 819 052 0425
1000-1025 (WI210) Multi-Agent Pickup and Delivery with Task Deadlines, Xiaohu Wu, Yihao Liu, Xueyan
Tang, Wentong Cai, Funing Bai, Gilbert Khonstantine, and Guopeng Zhao
1025-1050 (WI218) Learning Equilibrium Contributions in Multi-project Civic Crowdfunding, Manisha
Padala, Sankarshan Damle, and Sujit Gujar
1050-1115 (WI220) Local Maxima in ADCOPs via Side Payments, Yair Vaknin and Amnon Meisels
1115-1140 (WI307) Mechanism Design without Money for Fair Allocations, Manisha Padala and Sujit
Gujar
1140-1155 (WI291) An Agent Supporting Symptom Elicitation in Physician-Patient Dialogue, Marco Lanciotti, Catherine Escazut, Célia da Costa Pereira, Claudio Sartori, and Emanuele Galasso

28

Session C: Web of Data 1
Chair: Marek Reformat
Melbourne Time (UTC/GMT +11): 1000-1200; Zoom 3: 910 928 7030
1000-1025 (WI288) Plusmine: Dynamic Active Learning with Future-proof Semi-Supervised Learning for
Automatic Classification, Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, and Rob Van der Mei
1025-1050 (WI290) Efficient Query Obfuscation with Keyqueries, Maik Fröbe, Eric Oliver Schmidt, andMatthias Hagen
1050-1115 (WI295) Improving Topic Modeling Performance through N-gram Removal, Mohamad Almgerbi,
Andrea De Mauro, Adham Kahlawi, and Valentina Poggioni
1115-1140 (WI308) An Approach Based on Semantic Similarity to Explaining Link Predictions on Knowledge Graphs,Claudia d’Amato, Pierpaolo Masella, and Nicola Fanizzi
1140-1155 (WI377) Bias detection in Wikipedia articles. A study on Polish and English Datasets, Weronika
Stankiewicz, Katarzyna Baraniak, and Marcin Sydow

Session D: Web of People 2
Chair: Bo Mao
Melbourne Time (UTC/GMT +11): 1400-1550; Zoom 1: 974 366 3655
1400-1425 (WI255) A Label Extension Schema for Improved Text Emotion Classification Zongxi Li, Xianming Li, Haoran Xie, Qing Li, and Xiaohui Tao
1400-1450 (WI285) Analysis of Leading Communities Contributing to arXiv Information Distribution on
Twitter, Kyosuke Shimada, Kazuhiro Kazama, Mitsuo Yoshida, Ikki Ohmukai, and Sho Sato1450-1515 (WI289) Cross-Domain Attentive Sequential Recommendations based on General and Current
User Preferences (CD-ASR), Nawaf Alharbi and Doina Caragea
1515-1530 (WI333) Study of Context-based Personalized Recommendations for Points of Interest, Gaetano
Manzo, Davide Calvaresi, Jean-Paul Calbimonte, Esteem Okoro, and Michael Schumacher
1530-1545 (WI342) Improvement of User’s Attitude toward Decision-Making Task by Multimodal Implicit
Expressions of Agent’s Subjective Attitude, Yoshimasa Ohmoto, Mineya Kaseda, and Toyoaki Nishida29Session E: Web of Data 2
Chair: Xiaoyign Gao
Melbourne Time (UTC/GMT +11): 1400-1550; Zoom 2: 819 052 0425
1400-1425 (WI222) Linked Data Ground Truth for Quantitative and Qualitative Evaluation of Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs, Nicholas
Halliwell, Fabien Gandon, and Freddy Lecue
1400-1450 (WI227) A Learning Framework with Disposable Auxiliary Networks for Early Prediction of
Product Success, Chih-Ting Yeh, Zhe-Li Lin, Sheng-Chieh Lin, Jing-Kai Lou, Ming-Feng Tsai, andChuan-Ju Wang
1450-1515 (WI380) Assessing the use of attention weights to interpret BERT-based stance classification,
Carlos Abel Córdova Sáenz and Karin Becker
1515-1530 (WI242) Sequential Patterns for Spatio-Temporal Traffic Prediction, Feda Almuhisen, Nicolas
Durand, Leonardo Brenner, and Mohamed Quafafou
1530-1545 (WI248) Credible Text Summarization in Social Media, Francesco Amedeo Emanuele Talaricoand Marco Viviani

Session F: Web of Data 3
Chair: Hongzhi Kuai
Melbourne Time (UTC/GMT +11): 1400-1550; Zoom 3: 910 928 7030
1400-1425 (WI309) Neural text generation for query expansion in information retrieval, Vincent Claveau
1400-1450 (WI322) On the Impact of Dataset Size: A Twitter Classification Case Study, Thi Huyen Nguyen,
Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, and Thanh-Nam Doan
1450-1515 (WI324) CADPP: An Effective Approach to Recommend Attentive and Diverse Long-tail Items,
Shuai Tang and Xiaofeng Zhang
1515-1540 (WI341) How to Churn Deep Contextual Models?, Mohammad Hasan

30

Thursday, 16 December 2021
Session G: Web of Data 4
Chair: Mahdi Hashemi
Melbourne Time (UTC/GMT +11): 1000-1100; Zoom 1: 974 366 3655
1000-1025 (WI372) Using Grammar-Based Genetic Programming for Mining Subsumption Axioms Involving Complex Class Expressions, Remi Felin and Andrea G. B. Tettamanzi
1025-1040 (WI230) Quantifying Urban Safety Perception on Street View Images, Felipe Moreno, BahramLavi, and Jorge Poco
1040-1055 (WI271) A systematic approach to identify the information captured by Knowledge Graph
Embeddings, Antonia Ettorre, Anna Bobasheva, Catherine Faron, and Franck Michel

Session H: Web of Things
Chair: Fang Wang
Melbourne Time (UTC/GMT +11): 1000-1100; Zoom 2: 819 052 0425
1000-1015 (WI216) From CIC-IDS2017 to LYCOS-IDS2017: A corrected dataset for better performance,
Arnaud ROSAY, Florent CARLIER, Eloïse CHEVAL, and Pascal LEROUX
1015-1030 (WI267) A Framework for Internet Connectivity Risk Assessment Based on Graph Models,Tatiana Ermakova, Benjamin Fabian, David Alexander Fradin, and Sebastian Gross
1030-1045 (WI334) VOISMA: Indoor Location Identification for Voice-based Smart Home, Mahda Nouraand Martin Gaedke

Session I: Web of Agents 2
Chair: Yuheng Jia
Melbourne Time (UTC/GMT +11): 1000-1100; Zoom 3: 910 928 7030
1000-1025 (WI221) Bargaining Chips: Coordinating One-to-Many Concurrent Composite Negotiations,
Tim Baarslag, Tijmen Elfrink, Faria Nassiri Mofakham, Thimjo Koça, Michael Kaisers, and Reyhan
Aydogan1025-1040 (WI320) A personalized agent-based chatbot for nutritional coaching, Davide Calvaresi, Stefan
Eggenschwiler, Jean-Paul Calbimonte, Gaetano Manzo, and Michael Schumacher
1040-1055 (WI315) Course Allocation with Friendships as an Asymmetric Distributed Constraint Optimization Problem, Ilya Khakhiashvili, Tal Grinshpoun, and Lihi Dery

Session J: Web of Data 5
Chair: Manas Gaur
Melbourne Time (UTC/GMT +11): 1500-1630; Zoom 1: 974 366 3655
1500-1525 (WI235) Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases ofApple, Gabriele Sottocornola, Fabio Stella, and Markus Zanker
1525-1550 (WI241) A Framework of Duplicate Detection from Online Job Postings, Yanchang Zhao, HaohuiChen, and Claire Mason

31

1550-1615 (WI397) Tri-skill variant Simplex and strongly polynomial-time algorithm for linear programming,Wang Pei-zhuang, He Jing, and Kong Qi-wei
1615-1630 (WI281) Product Information Browsing Support System Using Analytic Hierarchy Process,Weijian Li, Masato Kikuchi, and Tadachika Ozono

Session K: Special Track: Emerging Web in Health and Smart
LivingChair: James Wang
Melbourne Time (UTC/GMT +11): 1500-1630; Zoom 2: 819 052 0425
1500-1525 (WI204) Self Sovereign Identity and User Control for Privacy-Preserving Contact Tracing, Wenting Song, Razieh Nokhbeh Zaeem, David Liau, Kai Chih Chang, Michael R. Lamison, Manah M. Khalil,and K. Suzanne Barber1525-1550 (WI283) Disease Classification on Admission and on Discharge with Residual CNN-Transformer,
Yu-Ting Lin, Sheng-Lun Wei, Hen-Hsen Huang, Hui-Chih Wang, and Hsin-Hsi Chen
1550-1615 (WI385) STRETCH: Stress and Behavior Modeling with Tensor Decomposition of Heterogeneous Data, Chunpai Wang, Shaghayegh Sahebi, and Helma Torkamaan

Session L: Web of Agents 3
Chair: Yue Xu
Melbourne Time (UTC/GMT +11): 1500-1630; Zoom 3: 910 928 7030
1500-1525 (WI229) Comparing Decentralized Algorithms for Dynamic Task Sharing among Agents with
Limited Resources, Hisashi Hayashi
1525-1550 (WI226) Redistribution in Public Project Problems via Neural Networks, Guanhua Wang, Wuli
Zuo, and Mingyu Guo
1550-1615 (WI364) Balancing Team Membership and Independent Activity for Robots in Dangerous Domains, Seth Fiawoo and John Anderson

Session M: Web of Data 6
Chair: Muhammad Abulaish
Melbourne Time (UTC/GMT +11): 1640-1820; Zoom 1: 974 366 3655
1640-1705 (WI387) A Text Generation Model that Maintains the Order of Words, Topics, and Parts of
Speech via Their Embedding Representations and Neural Language Models, Noriaki Kawamae
1705-1730 (WI389) Evolving Multi-view Autoencoders for Text Classification, Tuan Ha and Xiaoying Gao
1730-1745 (WI360) Recommending Multiple Positive Citations for Manuscript via Content-Dependent
Modeling and Multi-Positive Triplet, Yang Zhang and Qiang Ma
1745-1800 (WI395) Relation Extraction with Sentence Simplification Process and Entity Information, Mohammad Sahand Parniani and Marek Z. Reformat
1800-1815 (WI335) Visualization of POI Competitiveness Using Extracted Kyoto Map Tiles from Social
Media Response Since COVID-19, Huaze Xie, Da Li, Yuanyuan Wang, and Yukiko Kawai

32

Session N: Web of Trust
Chair: Wen Zhang
Melbourne Time (UTC/GMT +11): 1640-1820; Zoom 2: 819 052 0425
1640-1705 (WI217) Blockchain-Based Self-Sovereign Identity: Survey, Requirements, Use-Cases, and Comparative Study, Razieh Nokhbeh Zaeem, Kai Chih Chang, Teng-Chieh Huang, David Liau, Wenting
Song, Aditya Tyagi, Manah Khalil, Michael Lamison, Siddharth Pandey, and K. Suzanne Barber
1705-1730 (WI265) Fake News Detection via Biased User Profiles in Social Networking Sites, Ryoya
Furukawa, Daiki Ito, Yuta Takata, Hiroshi Kumagai, Masaki Kamizono, Yoshiaki Shiraishi, andMasakatu Morii
1730-1745 (WI275) Segmentation-based Phishing URL Detection, Eint Sandi Aung and Hayato Yamana
1745-1800 (WI310) Taking Another Look at the Use of Bloom Filters in Bitcoin, George Vlahavas, Kostas
Karasavvas, and Athena Vakali
1800-1815 (WI330) Applying Benford’s Law as an Efficient and Low-cost Solution for Verifying the Authenticity of Students’ Video Streams in Learning Management Systems, Argyris Constantinides,
Christodoulos Constantinides, Marios Belk, Christos Fidas, and Andreas Pitsillides

Session O: Web of People 3
Chair: Hao Chen
Melbourne Time (UTC/GMT +11): 1640-1820; Zoom 3: 910 928 7030
1640-1705 (WI362) Addressing Scalability Issues in Semantics-Driven Recommender Systems, Mounir M.
Bendouch, Flavius Frasincar, and Tarmo Robal
1705-1720 (WI382) A Teacher-Student Approach to Cross-Domain Transfer Learning with Multi-level Attention, Ying-Jhe Tang and Hen-Hsen Huang
1720-1735 (WI277) Online Classroom Evaluation System Based on Multi-Reaction Estimation, Yanyi
PENG, Masato Kikuchi, and Tadachika Ozono
1735-1750 (WI297) Operationalizing Rule-Based Socio-Ethical Behaviour in IoT Collectives: a Policy Management Approach, Amna Batool, Seng W.Loke, Niroshinie Fernando, and Jonathan Kua
1750-1805 (WI304) Context-dependent Features Fusion with BERT for Evaluating Multi-Turn CustomerHelpdesk Dialogues, Siu Hin NG, Yen-Chun Huang, Sheng-Jie Lin, and Yung-Chun Chang
1805-1820 (WI274) Do you trust the experts on Twitter?: Successful correction of COVID-19-related
misinformation, Dongwoo Lim, Fujio Toriumi, and Mitsuo Yoshida33

Friday, 17 Decebmer 2021
Session P: Web of People 4
Chair: Marek Reformat
Melbourne Time (UTC/GMT +11): 0900-1020; Zoom 1: 974 366 3655
0900-0925 (WI312) Online Home Appliance Review Analysis Via Adversarial Reptile, Tai Jung Kan and
Chia-Hui Chang0925-0950 (WI319) “I’ll be back”: Examining Restored Accounts On Twitter, Arnav Kapoor, Rishi Raj
Jain, Avinash Prabhu, Tanvi Karandikar, and Ponnurangam Kumaraguru
0950-1005 (WI363) Fine-Tuning for Cross-Domain Aspect-Based Sentiment Classification, Stefan van Berkum,
Sophia van Megen, Max Savelkoul, Pim Weterman, and Flavius Frasincar
1005-1020 (WI379) Interpretable Mining of Influential Patterns from Sparse Web, Carson Leung, Connor
Hryhoruk, and Yibin Zhang

Session Q: Web of Data 7
Chair: Joanna Isabelle Olszewska
Melbourne Time (UTC/GMT +11): 0900-1020; Zoom 2: 819 052 0425
0900-0925 (WI244) Towards Better Evidence Extraction Methods for Fact-Checking Systems, Pedro Azevedo,
Gil Rocha, Diego Esteves, and Henrique Lopes Cardoso
0925-0950 (WI247) Climbing Route Difficulty Grade Prediction and Explanation, Marina Andric, Iustina
Ivanova, and Francesco Ricci
0950-1005 (WI348) Enhance while protecting: privacy preserving image filtering, Diego Arcelli, Alina Elena
Baia, Alfredo Milani, and Valentina Poggioni
1005-1020 (WI352) Recycling Numeracy Data Augmentation with Symbolic Verification for Math Word
Problem Solving, Tien-Yi Jen, Hen-Hsen Huang, and Hsin-Hsi Chen

Session R: Web of People 5
Chair: Xiaohui Tao
Melbourne Time (UTC/GMT +11): 1030-1200; Zoom 1: 974 366 3655
1030-1055 (WI245) Diverse Reviewer Suggestion for Extending Conference Program Committees, Christin
Katharina Kreutz, Krisztian Balog, and Ralf Schenkel
1055-1120 (WI251) Automatic Generation of Event Ontology from Social Network and Mobile Positioning
Data, Landy Rajaonarivo, Tsunenor Mine, and Yutaka Arakawa
1120-1145 (WI252) Long-term Characterization of Political Communications on Social Media, Lucas Santos
de Oliveira, Marcelo Santos Amaral, and Pedro O. S. Vaz-de-Melo1145-1200 (WI318) Extraction and Analysis of Regionally Specific Behavioral Facilitation Information in
the Event of a Large-scale Disaster, Futo Yamamoto, Yu Suzuki, and Akiyo Nadamoto

Session S: Web of Data 8
Chair: Peng Zhang
Melbourne Time (UTC/GMT +11): 1030-1200; Zoom 2: 819 052 0425

34

1030-1055 (WI268) TTNet: Tabular Transfer Network for Few-samples Prediction, Zhao Li, Donghui Ding,
Xuanwu Liu, Peng Zhang, Youxi Wu, and Lingzhou Ma
1055-1120 (WI270) Unsupervised Tree Extraction in Embedding Spaces for Taxonomy Induction, François
Torregrossa, Robin Allesiardo, Vincent Claveau, and Guillaume Gravier
1120-1145 (WI273) Combining Machine Learning With Inductive Logic Learning To Detect Deviations
From Daily Routines In Ambient Intelligent Environments, Benjamin Duppe, Michael Meiser, Alexander Anisimov, André Antakli, Muhammad Muaz, and Ingo Zinnikus
1145-1200 (WI365) Analysis of the Effect of the Number of Bidders and Bidding Process on the End Pricein a B2B Online Auction, Kohei Hatamoto, Soichiro Yokoyama, Tomohisa Yamashita, and Hidenori
Kawamura

Session T: Web of Agents 3
Chair: Xujuan Zhou
Melbourne Time (UTC/GMT +11): 1400-1520; Zoom 1: 974 366 3655
1400-1425 (WI243) Differentially Private Multi-Agent Constraint Optimization, Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, and Sujit Gujar
1425-1450 (WI263) Blockchain-based Practical Multi-agent Secure Comparison and its Application in Auctions, Sankarshan Damle, Boi Faltings, and Sujit Gujar
1450-1505 (WI219) Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things,
Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany, and Olivier Boissier

Session U: Web of Data 9
Chair: Yang Gao
Melbourne Time (UTC/GMT +11): 1400-1520; Zoom 2: 819 052 0425
1400-1425 (WI261) Event Causal Relationship Retrieval, Yasunobu Sumikawa
1425-1450 (WI264) Multi-Task Neural Sequence Labeling for Zero-shot Cross-Lingual Boilerplate Removal,
Yu-Hao Wu and Chia-Hui Chang
1450-1505 (WI356) CURIOCITY Framework: Managing Heterogeneous Cultural Heritage Data, Alexander
Pinto-De la Gala, Yudith Cardinale, and Irvin Dongo

Session V: Web of People 6
Chair: Yi Zhou
Melbourne Time (UTC/GMT +11): 1530-1700; Zoom 1: 974 366 3655
1530-1555 (WI294) Sentiment Analysis Tool to Detect Digital Transformation Stress, Ewa MakowskaTłomak, Radosław Nielek, Kinga Skorupska, Julia Paluch, and Wiesław Kopeć
1555-1620 (WI299) Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter, Tanvi Karandikar, Avinash Prabhu, Avinash Tulasi, Arun
Balaji Buduru, and Ponnurangam Kumaraguru
1620-1645 (WI305) Effective Candidate Selection and Interpretable Interest Extraction for Follower Prediction on Social Media Seiji Maekawa, Santi Saeyor, Takeshi Sakaki, and Makoto Onizuka

35

1645-1700 (WI347) Generalized Negative Sampling for Implicit Feedback in Recommendation, Yuki Yamanaka and Kazunari Sugiyama

Session W: Web of Data 10
Chair: Guangyuan Huang
Melbourne Time (UTC/GMT +11): 1530-1700; Zoom 2: 819 052 0425
1530-1555 (WI278) Clustering-based Location Authority Deep Model in the Next Point-of-Interest Recommendation, Tianxing Wang, Can Wang, Hui Tian, Alan Wee-Chung Liew, and Yunwei Zhao
1555-1620 (WI279) Quantum Reinforcement Learning Applied to Board Games, Miguel Teixeira, Ana
Paula Rocha, and Antonio J.M. Castro
1620-1645 (WI282) Gated Character-aware Convolutional Neural Network for Effective Automated Essay
Scoring, Huanyu Bai, Zhilin Huang, Anran Hao, and Siu Cheung Hui
1645-1700 (WI374) Novel Views on Novels: Embedding Multiple Facets of Long Texts, Lasse Kohlmeyer,
Tim Repke, and Ralf Krestel

36

Zoom Login Credentials and Free-accessLive-streams
Zoom Login Credentials
ID
Zoom 1
Zoom 2Zoom 3Zoom 4
Zoom 5Zoom 6
Zoom 7
Zoom 8Zoom ID
974 366 3655
819 052 0425
910 928 7030
533 781 6805
559 326 8361
665 051 3030
328 426 0381
201 416 4305

Password
654321654321654321123456654321654321654321258369Contact
Jing.he@conted.ox.ac.uk
mengjiaoguo0702@gmail.com
hue.zheng@163.com
eve.wu10889@gmail.com
vincent.wen.xu@gmail.com
boredcui@gmail.com
charles.zhangxt@gmail.com
603200245@qq.com

Dates
14, 15, 16, 17 of Dec
14, 15, 16, 17 of Dec
14, 15, 16 of Dec
14 of Dec
14 of Dec
BackupBackupBackupFree-access Live-stream for Keynote Speeches, Opening &Closing Ceremony, WI 20Y Special Session
15 December 2021
• Link 1: https://youtu.be/q5OWrlDqmpc• Link 2: https://meeting.tencent.com/l/nv4V9VOKtWwH

16 December 2021
• Link 1: https://youtu.be/-dM9a1hbiNA• Link 2: https://meeting.tencent.com/l/HCyW9B6l6rjx

17 December 2021
• Link 1: https://youtu.be/ZiaMlcOIBYY• Link 2: https://meeting.tencent.com/l/VRoSwBu8Ofrc

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