Monday 23rd October 2023
08:30am - 9:00am - Affinity 2
Opening (Hybrid)
9:00am - 10:00am - Affinity 2
Keynote 1 (Hybrid) -- Chirag Shah: Generative AI and the Future of Information AccessRefreshment Break - Affinity 1
10:00am - 10:30am
Session 1 - 10:30am - 12:30pm
Session 1A - Recommendation 1 - Affinity 2
Chair - Mounia Lalmas
10:30am - 10:45am
CDR: Conservative Doubly Robust Learning for Debiased Recommendation by Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi,
Yan Feng, Chun Chen and Can Wang
10:45am - 11:00am
Decentralized Graph Neural Network for Privacy-Preserving Recommendation by Xiaolin Zheng, Zhongyu Wang, Chaochao Chen,
Jiashu Qian and Yao Yang
11:00am - 11:15am
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering by Sanshi Lei Yu, Qi Liu, Fei Wang,
Yang Yu and Enhong Chen
11:15am - 11:30am
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer by Yuchen Zhuang, Xin

Monday 23rd October 2023
Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li and Chao Zhang
11:30am - 11:45am
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation by Qingyao Li, Wei Xia,
Li'Ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang and Yong Yu
11:45am - 12:00pm
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation by Vincenzo Paparella, Vito Walter Anelli, Franco
Maria Nardini, Raffaele Perego and Tommaso Di Noia
12:00pm - 12:15pm
Scalable Neural Contextual Bandit for Recommender Systems by Zheqing Zhu and Benjamin Van Roy
12:15pm - 12:30pm
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation by Xin Xia, Junliang Yu,
Guandong Xu and Hongzhi Yin
Session 1B - CTR & Ads I - Belmont 1
Chair - Fanny Ye, University of Notre Dame
10:30am - 10:45am
Combating ad fatigue via frequency-recency features in online advertising systems by Natalia Silberstein, Or Shoham and Assaf
Klein
10:45am - 11:00am
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model by Wentao Ouyang,
Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu andYanlong Du

Monday 23rd October 2023
11:00am - 11:15am
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising by Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu,
Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu and Bo Zheng
11:15am - 11:30am
Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction by Hao Yang, Ziliang Wang, Weijie Bian, Zhefeng
Sun and Yifan Zeng
11:30am - 11:45am
Dynamic Group Parameter Modeling for Click-Through-Rate Prediction by Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie
He, Changping Peng, Zhangang Lin and Jingping Shao
11:45am - 12:00pm
DFFM: Domain Facilitated Feature Modeling for CTR Prediction by Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He,
Changping Peng, Zhangang Lin and Jingping Shao
12:00pm - 12:15pm
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction by Yunfeng Zhao, Xu Yan, Xiaoqiang
Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu and Bo Zheng
12:15pm - 12:30pm
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao by Jingyue Gao, Shuguang Han, Han
Zhu, Siran Yang, Yuning Jiang, Jian Xu and Bo Zheng
Session 1C - Graphs - Belmont 2
10:30am - 10:45am
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks by Zhihao Wen, Yuan Fang, Yihan Liu, Yang
Guo and Shuji HaoMonday 23rd October 2023
10:45am - 11:00am
Graph Learning for Exploratory Query Suggestions in an Instant Search System by Enrico Palumbo, Andreas Damianou, Alice
Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia
Lalmas, Ben Carterette, Praveen Chandar and David Nyhan
11:00am - 11:15am
FAF: A Risk Detection Framework on Industry-Scale Graphs by Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong
Cheng and Binjie Fei
11:15am - 11:30am
Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat by Yice Luo, Guannan Wang,
Yongchao Liu, Jiaxin Yue, Weihong Cheng and Binjie Fei
11:30am - 11:45am
Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural by Boxin Du, Rob Barton, Grant
Galloway, Junzhou Huang, Shioulin Sam, Ismail Tutar and Changhe Yuan Networks Distillation
11:45am - 12:00pm
GBTTE: Graph Attention Network Based Bus Travel Time Estimation by Boxin Du, Rob Barton, Grant Galloway, Junzhou Huang,
Shioulin Sam, Ismail Tutar and Changhe Yuan
12:00pm - 12:15pm
Logistics Audience Expansion via Temporal Knowledge Graph by Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang and Yu
Yang
12:15pm - 12:30pm
Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV by Cong Zhang, Dongyang Liu, Lin Zuo,
Junlan Feng, Chao Deng, Jian Sun, Haitao Zeng and Yaohong Zhao Recommendation
Session 1D - Interpretability 1 - Belmont 3

Monday 23rd October 2023
Chair - Jiaoyan Chen
10:30am - 10:45am
A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings by Narayanan Asuri Krishnan
and Carlos R. Rivero
10:45am - 11:00am
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks by Zihan Guan, Lichao
Sun, Mengnan Du and Ninghao Liu
11:00am - 11:15am
CANDY: A Causality-Driven Model for Hotel Dynamic Pricing by Ruitao Zhu, Wendong Xiao, Yao Yu, Yizhi Yu, Zhenzhe Zheng,
Ke Bu, Dong Li and Fan Wu
11:15am - 11:30am
Causality-guided Graph Learning for Session-based Recommendation by Dianer Yu, Qian Li, Hongzhi Yin and Guandong Xu
11:30am - 11:45am
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems by Guanglin Zhou, Chengkai
Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu and Lina Yao
11:45am - 12:00pm
KG4Ex: A Knowledge Graph-Based Approach for Exercise Recommendation by Quanlong Guan, Fang Xiao, Xinghe Cheng,
Liangda Fang, Ziliang Chen, Guanliang Chen and Weiqi Luo
12:00pm - 12:15pm
Rule-based Knowledge Graph Completion with Canonical Models by Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H.
Gad-Elrab, Christian Meilicke and Heiner Stuckenschmidt
12:15pm - 12:30pm

Monday 23rd October 2023
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction by Fangye Wang, Hansu Gu, Dongsheng Li, Tun
Lu, Peng Zhang and Ning Gu
Session 1E - Urban Informatics 1 - Meeting Room 2
Chair - Reynold Cheng, University of Hong Kong
10:30am - 10:45am
Timestamps as Prompts for Geography-Aware Location Recommendation by Yan Luo, Haoyi Duan, Ye Liu and Fu-Lai Chung
10:45am - 11:00am
CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-level Parameter Generation by
Guang Yang, Yuequn Zhang, Jinquan Hang, Xinyue Feng, Zejun Xie, Desheng Zhang and Yu Yang
11:00am - 11:15am
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation by Chenghua Duan, Wei
Fan, Wei Zhou, Hu Liu and Junhao Wen
11:15am - 11:30am
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank by Zhanyu Liu, Guanjie Zheng and Yanwei Yu
11:30am - 11:45am
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving by Yuan Fu, Shuncheng Liu, Yuyang Xia,
Fangda Guo and Kai Zheng
11:45am - 12:00pm
HST-GT:Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution
Integration E-Commerce by Xiaohui Zhao, Shuai Wang, Hai Wang, Tian He, Desheng Zhang and Guang Wang
12:00pm - 12:15pm

Monday 23rd October 2023
MLPST: MLP is All You Need for Spatio-Temporal Prediction by Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu
Wang, Zitao Liu, Junbo Zhang, S. Joe Qin and Hongwei Zhao
12:15pm - 12:30pm
Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework by Ximu Zeng,
Quanlin Yu, Shuncheng Liu, Yuyang Xia, Han Su and Kai Zheng
Session 1F - Graph Learning 1 - Ashtead 1
Chair - Trung Kien Tran
10:30am - 10:45am
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange by Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu andJian Li
10:45am - 11:00am
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs by Dong Li, Wenjun Wang, Minglai Shao andChen Zhao
11:00am - 11:15am
DPGN: Denoising Periodic Graph Network for Life Service Recommendation by Hao Xu, Huixuan Chi, Danyang Liu, Sheng
Zhou and Mengdi Zhang
11:15am - 11:30am
DYANE: DYnamic Attributed NEtwork Generative Model by Giselle Zeno and Jennifer Neville
11:30am - 11:45am
GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features by Junhong Wan, Yao Fu, Junlan Yu,
Weihao Jiang, Shiliang Pu and Ruiheng Yang

Monday 23rd October 2023
11:45am - 12:00pm
How Expressive are Graph Neural Networks in Recommendation? by Xuheng Cai, Lianghao Xia, Xubin Ren and Chao Huang
12:00pm - 12:15pm
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs by Haozhen Zhang, Xueting Han, Xi Xiao
and Jing Bai
12:15pm - 12:30pm
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data by Qianlong Wen, Jiazheng
Li, Chuxu Zhang and Yanfang Ye
Session 1G - Natural Language 1 - Ashtead 2
Chair - Nishanth Sastry
10:30am - 10:45am
Diving into a Sea of Opinions: Multi-modal Abstractive Summarization with Comment Sensitivity by Raghvendra Kumar, Ratul
Chakraborty, Abhishek Tiwari, Sriparna Saha and Naveen Saini
10:45am - 11:00am
GranCATs: Cross-lingual Enhancement through Granularity-Specific Contrastive Adapters by Meizhen Liu, Jiakai He, Xu Guo,
Jianye Chen, Siu Cheung Hui and Fengyu Zhou
11:00am - 11:15am
Inducing Causal Structure for Abstractive Text Summarization by Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo
and Xueqi Cheng
11:15am - 11:30am
James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems by Rishabh Gupta,
Venktesh V, Mukesh Mohania and Vikram Goyal

Monday 23rd October 2023

11:30am - 11:45am
NOVO: A Dual-Learnable and Interpretable Identifier for Model-Based IR by Zihan Wang, Yujia Zhou, Yiteng Tu and ZhichengDou
11:45am - 12:00pm
Rethinking Sentiment Analysis under Uncertainty by Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng
and Hua Wei
12:00pm - 12:15pm
Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning by Hongyan Xu, Hongtao Liu, Zhepeng Lv,
Qing Yang and Wenjun Wang
Session 1H - Search - Ashtead 3
Chair - Negin Rahimi
10:30am - 10:45am
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method by Yu-An Liu, Ruqing
Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng
10:45am - 11:00am
Continual Learning for Generative Retrieval over Dynamic Corpora by Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de
Rijke, Wei Chen, Yixing Fan and Xueqi Cheng
11:00am - 11:15am
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval by Qian Dong, Yiding Liu,
Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin and Shaoping Ma
11:15am - 11:30am

Monday 23rd October 2023
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations by Yinqiong Cai, Keping Bi, Yixing
Fan, Jiafeng Guo, Wei Chen and Xueqi Cheng
11:30am - 11:45am
LambdaRank Gradients are Incoherent by Federico Marcuzzi, Claudio Lucchese and Salvatore Orlando
11:45am - 12:00pm
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank by Jiarui Jin, Xianyu
Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu and Jun Wang
12:00pm - 12:15pm
Search Result Diversification Using Query Aspects as Bottlenecks by Puxuan Yu, Negin Rahimi, Zhiqi Huang and James Allan
12:15pm - 12:30pm
VILE: Block-Aware Visual Enhanced Document Retrieval by Huaying Yuan, Zhicheng Dou, Yujia Zhou, Yu Guo and Jirong Wen
Lunch Break and Posters/ Demos - Affinity 1
12:30pm - 2:00pm
Session 2 - 2:00pm - 4:00pm
Session 2A - Recommendation 2 - Affinity 2
2:00pm - 2:15pm
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation by Juyong Jiang, Peiyan Zhang, Yingtao Luo,
Chaozhuo Li, Jaeboum Kim, Kai Zhang, Senzhang Wang, Xing Xie and Sunghun Kim
2:15pm - 2:30pm
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation by Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu,

Monday 23rd October 2023
Peng Zhang and Ning Gu
2:30pm - 2:45pm
Deep Generative Imputation Model for Missing Not At Random Data by Jialei Chen, Yuanbo Xu, Pengyang Wang and Yongjian
Yang
2:45pm - 3:00pm
Diffusion Augmentation for Sequential Recommendation by Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo,
Ruiming Tang and Feng Tian
3:00pm - 3:15pm
Dual-view Contrastive Learning for Auction Recommendation by Danni Ren, Leong Hou U and Wei Liu
3:15pm - 3:30pm
Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation by
Hao Jiang, Chuanzhen Li, Juanjuan Cai, Runyu Tian and Jingling Wang
3:30pm - 3:45pm
Sequential Recommendation via an Adaptive Cross-Domain Knowledge Decomposition by Chuang Zhao, Xinyu Li, Ming He,
Hongke Zhao and Jianping Fan
3:45pm - 4:00pm
UniTE: A Unified Treatment Effect Estimation Method for One-Sided and Two-Sided Marketing by Runshi Liu and Zhipeng Hou
Session 2B - Recommender Systems - Belmont 1
2:00pm - 2:15pm
Multitask Ranking System for Immersive Feed and No MoreClicks: A Case Study of Short-Form Video Recommendation by
Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong and Ed Chi

Monday 23rd October 2023
2:15pm - 2:30pm
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommendation by
Shuai Yang, Lixin Zhang, Feng Xia and Leyu Lin
2:30pm - 2:45pm
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework by Yang Zhang, Yimeng
Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu and Yang Song
2:45pm - 3:00pm
3MN: Three Meta Networks for Multi-Scenario and Multi-Task Learning in Online Advertising Recommender Systems by Yifei
Zhang, Hua Hua, Hui Guo, Shuangyang Wang, Chongyu Zhong and Shijie Zhang
3:00pm - 3:15pm
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems by Yifei Zhang, Hua Hua, Hui
Guo, Shuangyang Wang, Chongyu Zhong and Shijie Zhang
3:15pm - 3:30pm
Popularity-aware Distributionally Robust Optimization for Recommendation System by Jujia Zhao, Wenjie Wang, Xinyu Lin,
Leigang Qu, Jizhi Zhang and Tat-Seng Chua
3:30pm - 3:45pm
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models
on Commodity CPU Hardware by Vihan Lakshman, Nicholas Meisburger, Benito Geordie, David Torres Ramos, Joshua Engels,
Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini and Anshumali
Shrivastava
3:45pm - 4:00pm
An Incremental Update Framework for Online Recommenders with Data-Driven Prior by Chen Yang, Jin Chen, Xiangdong Wu,
Qian Yu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin andJingping Shao

Monday 23rd October 2023
Session 2C - Forecasting / Time Series / Spatio-temporal - Belmont 2
2:00pm - 2:15pm
Continual Learning in Predictive Autoscaling by Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao
Jiang, James Zhang, Wei Jiang, Siqiao Xue and Jun Zhou
2:15pm - 2:30pm
Nowcast-to-Forecast: Token-Based Multiple Remote Sensing Data Fusion for Precipitation Forecast by Hongyan Hao, Zhixuan
Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue and Jun Zhou
2:30pm - 2:45pm
Generating Product Insights from Community Q&A by Lital Kuchy, Ran Levy, Avihai Mejer, Noam Segev, Shunit Agmon and
Miriam Farber
2:45pm - 3:00pm
TrendSpotter: Forecasting E-commerce Product Trends by Gayatri Ryali, Shreyas S, Sivaramakrishnan Kaveri and Prakash
Mandayam Comar
3:00pm - 3:15pm
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions by Jinhui
Yi, Huan Yan, Haotian Wang, Jian Yuan and Yong Li
3:15pm - 3:30pm
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction by Paras
Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu and K. Selçuk Candan

3:30pm - 3:45pm
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data by Zhichao Chen, Leilei Ding,
Hao Wang, Zhixuan Chu, Yucheng Qi and Jianmin Huang

Monday 23rd October 2023

3:45pm - 4:00pm
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles by Sookyung Kim, Kalai Ramea, Salva
Rühling Cachay, Haruki Hirasawa, Subhashis Hazarika, Dipti Hingmire, Peetak Mitra, Philip J. Rasch and Hansi Singh
Session 2D - Sequence Modelling 1 - Belmont 3
Chair - Xu Guo, NTU
2:00pm - 2:15pm
A Co-training Approach for Noisy Time Series Learning by Weiqi Zhang, Jianfeng Zhang, Jia Li and Fugee Tsung
2:15pm - 2:30pm
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation by Shutong Qiao, Wei Zhou, Junhao
Wen, Hongyu Zhang and Min Gao
2:30pm - 2:45pm
FATA-Trans: Field and Time-Aware Transformer for Sequential Tabular Data by Dongyu Zhang, Liang Wang, Xin Dai, Shubham
Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang and Wei Zhang
2:45pm - 3:00pm
Non-Compliant Bandits by Branislav Kveton, Yi Liu, Matteo Kruijssen and Yisu Nie
3:00pm - 3:15pm
RLIFE: Remaining Lifespan Prediction for E-scooters by Shuxin Zhong, William Yubeaton, Wenjun Lyu, Guang Wang, Desheng
Zhang and Yu Yang
3:15pm - 3:30pm
Spatial-temporal Graph Boosting Network: Enhancing Spatial-temporal Graph Neural Networks via Gradient Boosting by Yujie
Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang and Wei

Monday 23rd October 2023
Zhang
3:30pm - 3:45pm
Unleashing the Power of Shared Label Structures for Human Activity Recognition by Xiyuan Zhang, Ranak Roy Chowdhury,
Jiayun Zhang, Dezhi Hong, Rajesh Gupta and Jingbo Shang
Session 2E - Graph Learning 2 - Meeting Room 2
Chair - Anthony Colas, University of Florida
2:00pm - 2:15pm
Causality and Independence Enhancement for Biased Node Classification by Guoxin Chen, Yongqing Wang, Fangda Guo,
Qinglang Guo, Jiangli Shao, Huawei Shen and Xueqi Cheng
2:15pm - 2:30pm
Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion by Yao Fu, Junhong Wan, Junlan Yu,
Weihao Jiang and Shiliang Pu
2:30pm - 2:45pm
Learning Node Abnormality with Weak Supervision by Qinghai Zhou, Kaize Ding, Huan Liu and Hanghang Tong
2:45pm - 3:00pm
Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs by Zhihui Hu, Yao Fu,
Hong Zhao, Xiaoyu Cai, Weihao Jiang and Shiliang Pu
3:00pm - 3:15pm
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation by Shuang Wang,
Bahaeddin Eravci, Rustam Guliyev and Hakan Ferhatosmanoglu
3:15pm - 3:30pm

Monday 23rd October 2023
Modeling Sequential Collaborative User Behaviors for Seller-aware Next Basket Recommendation by Ziyi Kou, Saurav
Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang and Xiangliang Zhang
3:30pm - 3:45pm
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks by Jhony H. Giraldo,
Konstantinos Skianis, Thierry Bouwmans and Fragkiskos Malliaros
3:45pm - 4:00pm
Robust Graph Clustering via Meta Weighting for Noisy Graphs by Hyeonsoo Jo, Fanchen Bu and Kijung Shin
Session 2F - Knowledge Discovery - Ashtead 1
Chair - Bo Xiong
2:00pm - 2:15pm
A Momentum Loss Reweighting Method for Improving Recall by Chenzhi Jiang, Ningtao Wang, Ruofan Wu, Yin Jin, Xing Fu andWeiqiang Wang
2:15pm - 2:30pm
CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression by Xiaoyu
Wang, Yonghui Guo, Xiaoyang Ma, Dongbo Huang, Lan Xu, Haisheng Tan, Hao Zhou and Xiang-Yang Li
2:30pm - 2:45pm
Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint by Harshita Chopra, Atanu R Sinha,
Sunav Choudhary, Ryan A Rossi, Paavan Indela, Veda Pranav Parwatala, Srinjayee Paul and Aurghya Maiti
2:45pm - 3:00pm
Foreseer: Product Aspect Forecasting Using Temporal Graph Embedding by Zixuan Liu, Gaurush Hiranandani, Kun Qian,
Edward W Huang, Yi Xu, Belinda Zeng, Karthik Subbian and Sheng Wang

Monday 23rd October 2023
3:00pm - 3:15pm
Incremental Graph Classification by Class Prototype Construction and Augmentation by Yixin Ren, Li Ke, Dong Li, Hui Xue,
Zhao Li and Shuigeng Zhou
3:15pm - 3:30pm
Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing by Wanjun Liu, Xiufan Yu,
Jialiang Mao, Xiaoxu Wu and Justin Dyer
3:30pm - 3:45pm
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation by Zihan Yu, Guozhen Zhang, Yong
Li and Depeng Jin
Session 2G - Interpretability 2 - Ashtead 2
Chair - Stefan Heindorf
2:00pm - 2:15pm
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks by Yiqiao Li, Jianlong Zhou, Yifei
Dong and Fang Chen
2:15pm - 2:30pm
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries by Haekyu Park, Seongmin
Lee, Benjamin Hoover, Austin Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman and Duen Horng Chau
2:30pm - 2:45pm
Deep Integrated Explanations by Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Jonathan Weil and Noam
Koenigstein
2:45pm - 3:00pm
FINRule: Feature Interactive Neural Rule Learning by Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li and Jun Zhou

Monday 23rd October 2023

3:00pm - 3:15pm
Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations by Yongjie Wang, Hangwei Qian,
Yongjie Liu, Wei Guo and Chunyan Miao
3:15pm - 3:30pm
Heterogeneous Temporal Graph Neural Network Explainer by Jiazheng Li, Chunhui Zhang and Chuxu Zhang
3:30pm - 3:45pm
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features by Guanyu Jiang, Fuzhen Zhuang, Bowen Song,
Tianyi Zhang and Deqing Wang
3:45pm - 4:00pm
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model by Hangzhi Guo, Feiran Jia, Jinghui Chen,
Anna Squicciarini and Amulya Yadav
Session 2H - Privacy and Security 1 - Ashtead 3
Chair - Simon S. Woo, Sungkyunkwan University
2:00pm - 2:15pm
Closed-form Machine Unlearning for Matrix Factorization by Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang and Jing Liu
2:15pm - 2:30pm
GUARD: Graph Universal Adversarial Defense by Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan,
Changhua Meng and Weiqiang Wang
2:30pm - 2:45pm
Independent Distribution Regularization for Private Graph Embedding by Qi Hu and Yangqiu Song

Monday 23rd October 2023
2:45pm - 3:00pm
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets by Jay Nandy, Jatin Chauhan, Rishi Saket and Aravindan
Raghuveer
3:00pm - 3:15pm
Online Efficient Secure Logistic Regression based on Function Secret Sharing by Jing Liu, Jamie Cui and Cen Chen
3:15pm - 3:30pm
Towards Dynamic and Reliable Private Key Management for Hierarchical Access Structure in Decentralized Storage by Yifang
Zhang, Mingyue Wang, Yu Guo and Fangda Guo
3:30pm - 3:45pm
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network by Yu Shang, Yudong Zhang,
Jiansheng Chen, Depeng Jin and Yong Li
Refreshment Break - Affinity 1
4:00pm - 4:30pm
Session 3 - 4:30pm - 5:30pm
Session 3A - Knowledge Discovery and Retrieval - Affinity 2
4:30pm - 4:45pm
Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement by Hang Dong, Jiaoyan Chen,
Yuan He and Ian Horrocks
4:45pm - 5:00pm
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation by Ji
Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li and Jie TangMonday 23rd October 2023

5:00pm - 5:15pm
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation by
Weronika Łajewska and Krisztian Balog
5:15pm - 5:30pm
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes by Xueguang Ma, Tommaso Teofili and Jimmy Lin
Session 3B - Users & Behaviour - Belmont 1
4:30pm - 4:45pm
Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction by Chilin Fu, Weichang Wu,
Xiaolu Zhang, Jun Hu, Jing Wang and Jun Zhou
4:45pm - 5:00pm
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning by Zeyuan Chen, Wei
Chen, Jia Xu, Zhongyi Liu and Wei Zhang
5:00pm - 5:15pm
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling by Jiacen Hu, Zhangming
Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu and Bo Zheng
5:15pm - 5:30pm
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation by Ning Wu, Ming
Gong, Linjun Shou, Jian Pei and Daxin Jiang
Session 3C - Transfer Learning 1 - Belmont 2

Monday 23rd October 2023
Chair - Biao Yin, WPI
4:30pm - 4:45pm
Adaptation Speed Analysis for Fairness-aware Causal Models by Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao and Haifeng
Chen
4:45pm - 5:00pm
Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network by Leilei Yan, Fanzhang Li, Xiaohan Zheng and Li
Zhang
5:00pm - 5:15pm
Improving Adversarial Transferability via Frequency-Based Stationary Point Search by Zhiyu Zhu, Huaming Chen, Jiayu Zhang,
Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen and Kim-Kwang Raymond Choo
5:15pm - 5:30pm
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation by Junji Jiang, Hongke Zhao, Ming
He, Likang Wu, Kai Zhang and Jianping Fan
Session 3D - Computer Vision 1 - Belmont 3
Chair - Preben Ness, Simula Research Laboratory
4:30pm - 4:45pm
Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy by Suhyeon Jo, Donghyeok Shin, Byeonghu
Na, JoonHo Jang and Il-Chul Moon
4:45pm - 5:00pm
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models by ZhongjieDuan, Chengyu Wang, Cen Chen, Jun Huang and Weining Qian

Monday 23rd October 2023
5:00pm - 5:15pm
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation
Nowcasting by Jaeho Choi, Yura Kim, Kwang-Ho Kim, Sung-Hwa Jung and Ikhyun Cho
5:15pm - 5:30pm
STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in
Precipitation Nowcasting for Heavy Rainfall Events by Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, ChunChieh Wu and Winston H. Hsu
Session 3E - - User Modelling 1 - Meeting Room 2
Chair - Yao Zhang, Amazon Alexa AI
4:30pm - 4:45pm
Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments by Chunpai Wang and
Shaghayegh Sahebi
4:45pm - 5:00pm
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems by Guanhao Zhao, Zhenya
Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu and Enhong Chen
5:00pm - 5:15pm
The Role of Unattributed Behavior Logs in Predictive User Segmentation by Atanu R Sinha, Harshita Chopra, Aurghya Maiti,
Atishay Ganesh, Sarthak Kapoor, Saili Myana, Saurabh Mahapatra

5:15pm - 5:30pm
Understanding User Immersion in Online Short Video Interaction by Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie,Min Zhang and Yiqun Liu

Monday 23rd October 2023
Session 3F - Knowledge Representation 1 - Ashtead 1
Chair - Ingo Frommholz
4:30pm - 4:45pm
A two-tier shared embedding method for review-based recommender systems by Zhen Yang, Junrui Liu, Tong Li, Di Wu, Shiqiu
Yang and Huan Liu
4:45pm - 5:00pm
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs by Medina Andresel,
Daria Stepanova, Kien Tran, Csaba Domokos and Pasquale Minervini
5:00pm - 5:15pm
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation by Ke Tu, Wei Qu,
Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou and Guannan Zhang
5:15pm - 5:30pm
Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking by Hang Dong, Jiaoyan Chen, Yuan He,
Yinan Liu and Ian Horrocks

Session 3G - Sequence Modelling 2 - Ashtead 2
Chair - Christine Bauer, Paris Lodron University Salzburg
4:30pm - 4:45pm
Muffin: Music Recommender System via Shuffle Invariant Training by Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim andMonday 23rd October 2023
Chanyoung Park
4:45pm - 5:00pm
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation by Changxin Tian, Binbin Hu,
Wayne Xin Zhao, Zhiqiang Zhang and Jun Zhou
5:00pm - 5:15pm
TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features by Yujia Ding, Huan
Li, Ke Chen and Lidan Shou
5:15pm - 5:30pm
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data by Tong Liu, Xulong
Wang, He Huang and Po Yang
Session 3H - Recommendation 3 - Ashtead 3
Chair - Rodrygo Santos
4:30pm - 4:45pm
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems by Hengchang Hu, Wei Guo, Yong Liu and
Min-Yen Kan

4:45pm - 5:00pm
Batch-Mix Negative Sampling for Learning Recommendation Retrievers by Yongfu Fan, Jin Chen, Yongquan Jiang, Defu
Lian, Fangda Guo and Kai Zheng
5:00pm - 5:15pm
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering by Xi Wu, Liangwei Yang, Jibing
Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu and Philip S. Yu

Monday 23rd October 2023

5:15pm - 5:30pm
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning by
Hao Lun Lin, Jyun Yu Jiang, Pu Jen Cheng and Ming Hao Juan
Poster/ Demo - Affinity 1
5:30pm - 7:15pm
End of Day 1 - 7:15pm