CURRICULUM VITAE
Yusuke Mukuta#4-6-1 Komaba,Meguro-ku, Tokyo, 153-8904, Japan
Phone: +81-3-5452-5494
Mobile: +81-90-6712-0210
E-Mail: mukuta@mi.t.u-tokyo.ac.jp
WORK EXPERIENCEThe University of Tokyo, Meguro-ku, Tokyo, JAPANMay 2020- -present

Lecturer, Research Center for Advanced Science and Technology
・ Teach and conduct research on image feature extraction at Machine Intelligence Lab.
The University of Tokyo, Bunkyo-ku, Tokyo, JAPAN

April 2018- -April 2020

Assistant Professor, Department of Mechano-Informatics, Graduate School of Information Scienceand Technology
・ Teach and conduct research on image feature extraction at Machine Intelligence Lab.
RIKEN AIP, Chuo-ku, Tokyo, JAPAN

October 2018- -present

Visiting Researcher・ Conduct research on image feature extraction at Machine Intelligence for Medical EngineeringTeam.
EDUCATION:The University of Tokyo, Bunkyo-ku, Tokyo, JAPAN

April 2015- -March 2018

Ph.D. in Information Science and Technology
・ Performed research under Prof. Tatsuya Harada on the theory of image feature extraction.
The University of Tokyo, Bunkyo-ku, Tokyo, JAPAN

April 2013 –March 2015

MS in Information Science and Technology (GPA 4.0/ 4.0)
・ Performed research under Prof. Tatsuya Harada on causality measure and image recognition.
The University of Tokyo, Bunkyo-ku, Tokyo, JAPANBS in Mechano-Informatics (GPA 3.72 / 4.0)

April 2009 - March 2013

・ Performed research under Prof. Tatsuya Harada on the method of the link prediction using aprobabilistic model.
INTERNSHIP:
National Astronomical Observatory of Japan

December 2013 – March 2014

Astronomy Data Center
・ Performed research under Assoc. Prof. Tadafumi Takata and Prof. Yoshihiko Mizumoto on themethod of time series analysis on astronomical data.
NTT Communication Science Laboratories

August 2016

・ Performed research under Dr. Akisato Kimura.
PUBLICATIONS:Yusuke Mukuta, Tatsuya Harada. Probabilistic Partial Canonical Correlation Analysis. In
Proceedings of the 31st International Conference on Machine Learning (ICML 2014), pp.1449-1457,
2014.
Asako Kanezaki, Yusuke Mukuta, Tatsuya Harada. Mirror Reflection Invariant HOG descriptors for
Object Detection. In IEEE International Conference on Image Processing (ICIP 2014), pp.15941598, 2014.
Yoshitaka Ushiku, Masataka Yamaguchi, Yusuke Mukuta, Tatsuya Harada. Common Subspace forModel and Similarity: Phrase Learning for Caption Generation from Images. In the 14th International
Conference on Computer Vision (ICCV 2015), pp.2668-2676, December, 2015.
Yusuke Mukuta, Tatsuya Harada. Kernel Approximation via Empirical Orthogonal Decomposition
for Unsupervised Feature Learning. In IEEE Conference on Computer Vision and PatternRecognition (CVPR 2016), pp.5222-5230, June, 2016.
Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Deep Modality Invariant
Adversarial Network for Shared Representation Learning. In the 16th International Conference on
Computer Vision Workshop on Transferring and Adapting Source Knowledge in Computer Vision(ICCV 2017 TASK-CV), pp.2623-2629, October, 2017.
Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Spatial-Temporal Weighted Pyramid using
Spatial Orthogonal Pooling. In the 16th International Conference on Computer Vision Workshop on
Compact and Efficient Feature Representation and Learning in Computer Vision (ICCV 2017
CEFRL), pp.1041-1049, October, 2017.
Yusuke Mukuta, Akisato Kimura, David Adrian, Zoubin Gharamani. Weakly Supervised Collective
Feature Learning from Curated Media. In the 32nd AAAI Conference on Artificial Intelligence(AAAI 2018), pp.7260-7267, Febrary, 2018.

Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Alternating Circulant Random Features forSemigroup Kernels. In the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), pp.38363843, Febrary, 2018.
Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Estimating the Causal Effect fromPartially Observed Time Series. In the 33rd AAAI Conference on Artificial Intelligence, pp.32193926, Febrary, 2018.
Tadafumi Takata, Yusuke Mukuta, Yoshihiko Mizumoto. Modeling the Variability of Active Galactic
Nuclei by Infinite Mixture of Ornstein-Uhlenbeck(OU) Processes. Astrophysical Journal, Volume869, Number 2, pp.178-196, 2018.
Antonio Tejero-de-Pablos, Kaikai Huang, Hiroaki Yamane, Yusuke Kurose, Yusuke Mukuta, Yasushi
Koyama, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, TatsuyaHarada. Texture-based classification of significant stenosis in CCTA multi-view images of coronaryarteries. In the 22nd International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI 2019), pp.732-740, 2019.
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko
Yoshizawa, Masanobu Kitagawa, Tatsuya Harada. Multi-Stage Pathological Image Classification
Using Semantic Segmentation. In the 17th International Conference on Computer Vision (ICCV2019), pp.10702-10711, 2019.
Kosuke Arase, Yusuke Mukuta, Tatsuya Harada. Rethinking Task and Metrics of InstanceSegmentation on 3D Point Clouds. In the 4th Geometry Meets Deep Learning Workshop (ICCV2019, Workshop), pp.4105-4113, 2019.
Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada. Toward a Better Story End:Collecting Human Evaluation with Reasons. In the 12th International Conference on NaturalLanguage Generation (INLG 2019), pp.383-390, 2019.
Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta, Tatsuya Harada. Long-Term HumanVideo Generation of Multiple Futures Using Poses. In the Advances in Image Manipulation
Workshop and Challenges (ECCV 2020, Workshop), pp.596-612, 2020.
Yuki Kawana, Yusuke Mukuta, Tatsuya Harada. Neural Star Domain as Primitive Representation. In
the 34th Conference on Neural Information Processing Systems (Neurips 2020), 2020.
Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada. Finding and Generating a Missing
Part for Story Completion. In the 4th Joint SIGHUM Workshop on Computational Linguistics for
Cultural Heritage, Social Sciences, Humanities and Literature, pp.156-166, 2020.
Takayuki Hara, Yusuke Mukuta, Tatsuya Harada. Spherical Image Generation from a Single Imageby Considering Scene Symmetry. In the 35th AAAI Conference on Artificial Intelligence (AAAI2021), pp.1513-1521, 2021.
Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada. Hyperbolic Neural Networks++. In the 9th

International Conference on Learning Representations (ICLR 2021), 2021.
Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada. The Nectar of Missing Position
Prediction for Story Completion. In the 4th International Workshop on Narrative Extraction fromTexts (ECIR 2021, Workshop), pp.65-69, 2021.
Wataru Kawai, Yusuke Mukuta, Tatsuya Harada. Real-Time Mesh Extraction from Implicit
Functions via Direct Reconstruction of Decision Boundary. In 2021 IEEE International Conferenceon Robotics and Automation (ICRA 2021), pp.12875-12881, 2021.
Tomu Hirata, Yusuke Mukuta, Tatsuya Harada. Making Video Recognition Models Robust toCommon Corruptions With Supervised Contrastive Learning. In the 3rd ACM International
Conference on Multimedia in Asia Workshop on Visual Tasks and Challenges under Low-qualiyMultimedia Data (ACMMM Asia 2021, Workshop), 2021.
Ayaka Ideno, Yusuke Mukuta, Tatsuya Harada. Generation of Variable-Length Time Series from Text
using Dynamic Time Warping-Based Method. In the 3rd ACM International Conference on
Multimedia in Asia Workshop on Multi-Modal Embedding and Understanding (ACMMM Asia
2021, Workshop), 2021.
Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada. Fully Spiking Variational Autoencoder. In the36th AAAI Conference on Artificial Intelligence, (AAAI 2022), pp.7059-7067, 2022.
Kohei Uehara, Yusuke Mori, Yusuke Mukuta, Tatsuya Harada. ViNTER: Image Narrative
Generation with Emotion-Arc-Aware Transformer. In the 1st International Workshop on Multimodal
Understanding for the Web and Social Media (WWW 2022, Workshop), pp.716-725, 2022.
Yuki Kawana, Yusuke Mukuta, Tatsuya Harada. Unsupervised Pose-aware Part Decomposition forMan-made Articulated Objects. In the 17th European Conference on Computer Vision (ECCV2022), pp.558-575, 2022.
Kohtaro Tanaka, Hiroaki Yamane, Yusuke Mori, Yusuke Mukuta, Tatsuya Harada. Learning toEvaluate Humor in Memes Based on the Incongruity Theory. In When creative AI meets
conversational AI (COLING 2022, Workshop), pp.81-93, 2022.
Daiki Naruse, Tomoyuki Takahata, Yusuke Mukuta, Tatsuya Harada. Pop Music Generation withControllable Phase Length. In the 23rd International Society for Music Information Retrieval
Conference (ISMIR 2022), pp.125-131, 2022.
Takayuki Hara, Yusuke Mukuta, Tatsuya Harada. Spherical Image Generation From a Few NormalField-of-View Images by Considering Scene Symmetry. IEEE Transactions on Pattern Analysis andMachine Intelligence, 2022.
Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada. COMPASS: aCreative Support System that Alerts Novelists to the Unnoticed Missing Contents. Computer Speech& Language, 2022.
Thomas Westfechtel, Hao-Wei Yeh, Qier Meng, Yusuke Mukuta, Tatsuya Harada. Backprop Induced

Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment.
In the Winter Conference on Applications of Computer Vision (WACV 2023), pp.392-401, 2023.
Shunsuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo
Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada. Domain
Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images. In the20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), pp.1-5, 2023.
Kohei Shiba, Yusuke Mukuta, Tatsuya Harada. Zero-shot Object Classification with Large-scale
Knowledge Graph. In the 2nd Workshop on Learning with Limited Labelled Data for Image andVideo Understanding (CVPR 2023 Workshop), pp.4990-4997, 2023.
Yusuke Mukuta, Tatsuya Harada. Invariant Feature Coding using Tensor Product Representation.
Transactions on Machine Learning Research, 2023.
Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Symmetric Q-Learning: Reducing
Skewness of Bellman Error in Online Reinforcement Learning. In the 38th AAAI Conference onArtificial Intelligence (AAAI 2024), pp. 14474-14481, 2024.
Kohtaro Tanaka, Kohei Uehara, Lin Gu, Yusuke Mukuta, Tatsuya Harada. Content-Specific
Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought. In Findings of theAssociation for Computational Linguistics (NAACL 2024 Findings), accepted, 2024.
Shun Yoshikawa, Yusuke Mukuta, Takayuki Osa, Tatsuya Harada. RallySim : Simulated
Environment with Continuous Control for Turn-based Multi-agent Reinforcement Learning. In the2nd Workshop on MAD-Games: Multi-Agent Dynamic Games (ICRA 2024 workshop), accepted,
2024.
Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Stabilizing Extreme Q-learning by
Maclaurin Expansion. In the 1st Reinforcement Learning Conference (RLC 2024), accepted.
INVITED TALKS:
Yusuke Mukuta, Tatsuya Harada. Probabilistic Partial Canonical Correlation Analysis. In the 18th
Meeting on Image Recognition and Understanding (MIRU 2015), 2015.
Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Alternating Circulant Random Features for
Semigroup Kernels. In the 17th Forum on information Technology (FIT2018), 2018.
Yusuke Mukuta. On training and application of equivariant neural networks. In the 7thInternational Workshop on Symbolic-Neural Learning (SNL2023), 2023.

FELLOWSHIPS:JSPS Research Fellowship for Young Scientists (DC2)
GRANTS:

April 2017March 2018

JSPS Grant-in-Aid for Young Scientists

April 2019—March 2023

JST Moonshot R&D

December 2020—Present

AWARDS:
Masataka Yamaguchi, Qishen Ha, Katsunori Ohnishi, Masatoshi Hidaka, Yusuke Mukuta, Tatsuya
Harada. 3rd Place in the object detection task with external data, ImageNet Large Scale Visual
Recognition Challenge 2015
SKILLS:
Programming Languages – MATLAB, Python, C++, C