YU Hai-Tao
- Affiliation
- Institute of Library, Information and Media Science
- Official title
- Associate Professor
- Sex
- Male
- URL
- /JF92:E2@Tc_D=:D]EDF<F32]24];A
- Office
- Information Intelligence Research https://ii-research.github.io
- Research fields
- Intelligent informatics - Information security - Multimedia database - Intelligent robotics - Human interface and interaction - Web informatics, Service informatics 
- Research keywords
- Information Intelligence - Deep Learning - Learning To Rank - Interactive Information Retrieval - Privacy-preserving Machine Learning - Data Mining 
- Research projects
- 人と共に進化する次世代人工知能に関する技術開発事業 - 2020 -- 2024 - NEDO/受託研究(再委託) - 情報検索における思考の言語化にもとづく検索インタラクションの会話化 - 2019-04 -- 2022-03 - 上保秀夫 - Japan Society for the Promotion of Science/ - A Scalable Privacy-preserving Information Retrieval System Based on Federated Optimization, On-device Intelligence ... - 2019-04 -- 2023-03 - Haitao Yu - Japan Society for the Promotion of Science/ - 15,860,000Yen - A Novel Interactive Information Retrieval System Using Deep Neural Network - 2017-04 -- 2019-03 - Haitao Yu - Japan Society for the Promotion of Science/Grant-in-Aid for Young Scientists(B) - 3,900,000Yen 
- Career history
- 2022-02 -- (current) - University of TsukubaFaculty of Library, Information and Media ScienceAssociate Professor - 2025-04 -- 2025-09 - National University of SingaporeSchool of ComputingVisiting scholar - 2015-02 -- 2017-01 - University of GlasgowSchool of Computing ScienceVisiting Scholar - 2014-11 -- 2022-01 - University of TsukubaFaculty of Library, Information and Media ScienceAssistant Professor - 2014-04 -- 2014-11 - Tokushima UniversityAssistant Professor - 2013-02 -- 2013-06 - Microsoft Research AsiaWeb Intelligence GroupResearch Intern 
- Degree
- 2013-09 - Doctor of Philosophy in Engineering - Tokushima University 
- Academic societies
- 2019-07 -- (current) - American Association for the Advancement of Science (AAAS) - 2015-10 -- (current) - The Institute of Electrical and Electronics Engineers (IEEE) - 2017-11 -- (current) - The Japanese Society for Artificial Intelligence) - 2017-11 -- (current) - The Institute of Electronics, Information and Communication Engineers - 2015-10 -- (current) - The Association for Computing Machinery (ACM) 
- Honors & Awards
- 2012-10 - ACM SIGIR Student Travel Grant at ACM CIKM2012 - 2013-10 - Student Travel Awards by the Telecommunications Advancement Foundation (TAF) - 2017-12 - 筑波大学若手教員奨励賞 - 筑波大学の研究力の向上に貢献した - 2016-11 - The ICTAI-2016 Best Student Paper Award 
- Articles
- SG-TE: Spatial Guidance and Temporal Enhancement Network for Facial-Bodily Emotion Recognition
 Huang Zhong; Zhang Danni; Ren Fuji; Hu Min; Liu Juan...
 CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2025-3
- Implicit Knowledge-augmented Prompting for Commonsense Explanation Generation
 Ge Yan; Yu Hai-Tao; Lei Chao; Liu Xin; Jatowt Adam; ...
 Knowledge and Information Systems/Epub, 2025-01-16
- A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations
 Wang Yao; Liu Xin; Kong Weikun; Yu Hai-Tao; Racharak ...
 IEEE ACCESS/12/pp.103313-103328, 2024-04-01
- Selectively Expanding Queries and Documents for News Background Linking
 Zhang Lirong; Joho Hideo; Fujita Sumio; Yu Hai-Tao
 The 31st ACM International Conference on Information and Knowledge Management (CIKM2022), 2022-10-17
- Semantic Modelling of Document Focus-Time for Temporal Information Retrieval
 Zhang Lirong; joho hideo; Hai-Tao Yu
 The 12th International Workshop on Temporal Web Analytics (TempWeb), 2022-04-25
- University of Tsukuba Team at the TREC 2023 Interactive Knowledge Assistance Track
 Lingzhen Zheng; Kaiyu Yang; Hai-Tao Yu; Sumio Fujita; ...
 Proceedings of the Thirty-Second Text REtrieval Conference (TREC 2023), 2023-11-13
- University of Tsukuba Team at the TREC 2023 Deep Learning Track
 Kaiyu Yang; Lingzhen Zheng; Hai-Tao Yu; Sumio Fujita; ...
 The Thirty-Second Text REtrieval Conference (TREC 2023), 2023-11-13
- What Wikipedia Misses about Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns
 Yijun Duan; Xin Liu; Adam Jatowt; Chenyi Zhuang; Hai-...
 Proceedings of the 26th European Conference on Artificial Intelligence ECAI 2023, 2023-10
- An In-Depth Study on Adversarial Learning-to-Rank
 Hai-Tao Yu; Piryani Rajesh; Jatowt Adam; Inagaki Ryo; ...
 INFORMATION RETRIEVAL JOURNAL/26(1), 2023-02
- Combining Spiking Neural Networks with Artificial Neural Networks for Enhanced Image Classification
 Naoya Muramatsu; Hai-Tao Yu; Tetsuji SATOH
 IEICE TRANSACTIONS on Information and Systems/E106-D(2)/pp.252-261, 2023-02
- SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs
 Duan Yijun; Liu Xin; Jatowt Adam; Yu Hai-tao; Lynden ...
 Remote Sensing/14(18), 2022-09
- Multi-view Actionable Knowledge Graph Generation from Wikipedia Biographies
 Duan Yijun; Liu Xin; Jatowt Adam; Zhuang Chenyi; Yu ...
 IEEE Access/10/pp.73879-73892, 2022-07
- Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network
 Duan Yijun; Liu Xin; Jatowt Adam; Yu Hai-tao; Lynden ...
 Remote Sensing/14(14), 2022-06
- Diagnostic Evaluation of Policy-Gradient-Based Ranking
 Hai-Tao Yu; Degen Huang; Fuji Ren; Lishuang Li
 Electronics/11(1), 2021-12
- Word sense disambiguation based on stretchable matching of the semantic template
 Wang Wei; Huang Degen; Hai-Tao Yu
 Mathematical Foundations of Computing/4(1)/pp.1-13, 2021-02
- PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank
 Hai-Tao Yu
 PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank, 2020-08
- Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics
 Hai-Tao Yu
 Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics, 2020-08
- Image Caption Generation Using Hint-words
 村本 尚生; 于 海涛
 Joho Chishiki Gakkaishi/29(2)/pp.153-158, 2019-05
- Journal of Intelligent Information Systems
 Chen Long; Zhang Huaizhi; Jose Joemon M; Yu Hai tao; Mosh...
 Journal of Intelligent Information Systems/51(1)/pp.115-137, 2018-08
- Revisiting the cluster-based paradigm for implicit search result diversification
 Yu Hai tao; Adam Jatowt; Blanco Roi; Joho Hideo; Jose Jo...
 Information Processing and Management/54(4)/pp.507-528, 2018-07
- An in-depth study on diversity evaluation: the importance of intrinsic diversity
 Yu Hai tao; Jatowt Adam; Roi Blanco; Hideo Joho; Joemon ...
 Information Processing and Management/53(4)/pp.799-813, 2017-07
- A Hybrid Approach for Question Retrieval in Community Question Answering
 Chen Long; Jose Joemon; Yu Hai tao; Yuan Fajie
 The Computer Journal/60(7)/pp.1019-1031, 2017-07
- Decoding multi-click search behavior based on marginal utility
 Yu Hai tao; Adam Jatowt; Blanco Roi; Joho Hideo; Jose Jo...
 Information Retrieval/20(1)/pp.25-52, 2017-02
- Role-explicit Query Extraction and Utilization for Quantifying User Intents
 Ren Fuji; Yu Hai tao
 Information Sciences/329/pp.568-580, 2016-01
- Automatic Role-Explicit Query Extraction: A Divide-and-Conquer System Leveraging on Users' Reformulating Behaviors
 Yu Hai tao; Ren Fuji
 IEEJ Transactions on Electrical and Electronic Engineering/9(1)/pp.62-70, 2014-01
- more...
 
- SG-TE: Spatial Guidance and Temporal Enhancement Network for Facial-Bodily Emotion Recognition
- Books
- Estimating the Plausibility of Commonsense Statements by Novelly Fusing Large Language Model and Graph Neural Network
 Yu Hai-Tao; Lei Chao; Ge Yan; Duan Yijun; Liu Xin; L...
 Information Processing and Management (IPM), 2025-03
 
- Estimating the Plausibility of Commonsense Statements by Novelly Fusing Large Language Model and Graph Neural Network
- Conference, etc.
- MP: Endowing Large Language Models with Lateral Thinking
 Bai Tian; Cao Yongwang; Ge Yan; YU Hai-Tao
 The 39th AAAI Conference on Artificial Intelligence/2025-02-25--2025-03-04
- IIUoT at TREC 2024 Interactive Knowledge Assistance Track
 YU Hai-Tao
 The Thirty-Third Text REtrieval Conference (TREC)/2024-11-18--2024-11-24
- Boosting Personalized Conversational Information Seeking with Retrieval-augmented Generation
 Zhang Yating; YU Hai-Tao
 The First Workshop on Refined and Reliable Retrieval Augmented Generation at SIGIR-AP/2024-12-12--2024-12-12
- Towards Incorporating Personalized Context for Conversational Information Seeking
 YU Hai-Tao; Zheng Lingzhen; Yang Kaiyu; Fujita Sumio; ...
 IR-RAG@SIGIR24: Information Retrieval's Role in RAG Systems/2024-07-18--2024-07-18
- Inexact Graph Representation Learning
 Duan Yijun; Liu Xin; Jatowt Adam; YU Hai-Tao; Lynden ...
 The 2024 International Joint Conference on Neural Networks (IJCNN)/2024-06-30--2024-07-05
- Self Decoupling-Reconstruction Network for Facial Expression Recognition
 Wang Linhuang; Kang Xin; Ding Fei; YU Hai-Tao; Wu Yu...
 The 2024 International Joint Conference on Neural Networks (IJCNN)/2024-06-30--2024-07-05
- An In-depth Comparison of Neural and Probabilistic Tree Models For Learning-to-Rank
 Haonan Tan; Kaiyu Yang; Hai-Tao Yu
 The 46th European Conference on Information Retrieval (ECIR)/2024-03-24--2024-03-28
- Commonsense Temporal Action Knowledge (CoTAK) Dataset
 Steven Lynden; Hailemariam Mehari Yohannes; Kyoung-Sook...
 Proceedings of the 32nd ACM International Conference on Information and Knowledge Management/2023-10
- Anonymity Can Help Minority: A Novel Synthetic Data Over-sampling Strategy on Multi-label Graphs
 Duan Yijun; Liu Xin; Jatowt Adam; Hai-Tao Yu; Lynden Ste...
 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)/2022-09-19--2022-09-23
- TUA1 at eRisk 2022: Exploring Affective Memories for Early Detection of Depression
 Xin Kang; Rongyu Dou; Hai-Tao Yu
 The Thirteenth Conference and Labs of the Evaluation Forum (CLEF 2022)/2022-09-05--2022-09-08
- Dual Cost-sensitive Graph Convolutional Network
 Duan Yijun; Liu Xin; Jatowt Adam; Hai-Tao Yu; Lynden Ste...
 2022 International Joint Conference on Neural Networks (IJCNN)/2022-07-18--2022-07-23
- Optimize What You EvaluateWith: Search Result Diversification Based on Metric Optimization
 Hai-Tao Yu
 The 36th AAAI Conference on Artificial Intelligence/2022-02-22--2022-03-01
- Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification
 Naoya Muramatsu; 于 海涛
 DEIM Forum 2021/2021-03-01--2021-03-03
- Deep metric learning based on rank-sensitive optimization of top-k precision
 Muramoto Naoki; Hai-Tao Yu
 Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM)/2020-10
- TUA1 at the TREC 2019: deep learning track
 Hai-Tao Yu; Gao Yun; Kang Xin; Ren Fuji
 Proceedings of the 28th Text Retrieval Conference(TREC)/2019-11-13--2019-11-15
- A rank-biased neural network model for click modeling
 Yu Hai tao; Jatowt Adam; Blanco Roi; Jose Joemon M.; Zhou...
 The ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR)/2019-03-10--2019-03-14
- WassRank: listwise document ranking using optimal transport theory
 Yu Hai tao; Jatowt Adam; Joho Hideo; Jose Joemon; Yang X...
 The 12th International Conference on Web Search and Data Mining (WSDM)/2019-02-11--2019-02-15
- An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter
 Fang Anjie; Ounis Iadh; MacDonald Craig; Habel Philip...
 27th ACM International Conference on Information and Knowledge Management (CIKM)/2018-10-22--2018-10-26
- Overview of NTCIR-13 Actionable Knowledge Graph (AKG) Task
 Blanco Roi; Joho Hideo; Jatowt Adam; Yu Haitao; Yamamoto ...
 Proceedings of the 13th NTCIR Conference on Evaluation of Information Access Technologies, December 5-8, 2017 Tokyo Japan/2017-12
- Test Collection for Evaluating Actionable Knowledge Graphs
 Yu Hai tao; Blanco Roi; Hideo Joho; Jatowt Adam
 The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)/2017-08-11--2017-08-11
- A semantic graph-based approach for mining common topics from multiple asynchronous text streams
 Chen Long; Jose Joemon; Yu Hai tao; Yuan Fajie
 Proceedings of the 26th World Wide Web conference/2017-04-03--2017-04-07
- Boostfm: boosted factorization machines for top-n feature-based recommendation
 Yuan Fajie; Guo Guibing; Jose Joemon; Chen Long; Yu Hai ...
 Proceedings of the 22nd International Conference on Intelligent User Interfaces/2017-03-13--2017-03-16
- A concise integer linear programming formulation for implicit search result diversification
 Yu Hai tao; Adam Jatowt; Blanco Roi; Joho Hideo; Jose Jo...
 Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM 2017)/2017-02
- An in-depth study of implicit search result diversification
 Yu Hai tao; Jatowt Adam; Roi Blanco; Hideo Joho; Joemon Jose; ...
 The 12th Asia Information Retrieval Societies Conference/2016-11-30--2016-12-02
- Optimizing factorization machines for top-N context-aware recommendations
 Fajie Yuan; Guibing Guo; Joemon Jose; Long Chen; Yu Hai tao; W...
 The 17th International Conference on Web Information Systems Engineering/2016-11-07--2016-11-10
- more...
 
- MP: Endowing Large Language Models with Lateral Thinking
- Works
- Learning to Rank in PyTorch (https://github.com/wildltr/ptranking)
 Hai-Tao Yu
 
- Learning to Rank in PyTorch (https://github.com/wildltr/ptranking)
- Teaching
- 2025-10 -- 2025-12 - Knowledge Sciences Lab B - University of Tsukuba. - 2025-04 -- 2025-06 - Knowledge Sciences Lab A - University of Tsukuba. - 2025-10 -- 2025-12 - English for Specialized Subjects C-1 - University of Tsukuba. - 2024-04 -- 2024-07 - Information Seeking and Retrieval - University of Tsukuba. - 2024-07 -- 2024-08 - Practical Seminar A - University of Tsukuba. - 2024-04 -- 2024-07 - Foundation of Data Science - University of Tsukuba. - 2024-04 -- 2024-07 - Theories of information Behavior - University of Tsukuba. - 2024-10 -- 2024-12 - Knowledge Sciences Lab B - University of Tsukuba. - 2024-10 -- 2024-12 - English for Specialized Subjects C-1 - University of Tsukuba. - 2024-11 -- 2025-02 - Knowledge Information Resources Lab III-2 - University of Tsukuba. - more... 
- Other educational activities
- 2023-12 -- 2023-12 - Introduction on Learning-to-rank - College of Knowledge and Library Sciences 
- Talks
- Neural Learning-to-Rank
 于 海涛
 Workshop on When creative AI meets conversational AI/2021-03-19--2021-03-19
- Let’s Secure that Grant
 Hai-Tao Yu
 KAKENHI Seminar for Non-Japanese Researchers/2019-07-22--2019-07-22
 
- Neural Learning-to-Rank
- Professional activities
- 2024-04 -- 2025-04 - A co-organizer of The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval - 2024-12 -- 2024-12 - A co-organizer of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP) - 2024-12 -- 2024-12 - A co-organizer of 2024 Australasian Database Conference (ADC 2024) - 2024-12 -- 2024-12 - A co-organizer of R3AG: The First Workshop on Refined and Reliable Retrieval Augmented Generation - 2016-08 -- 2017-12 - A member of the organizers for NTCIR-13 Actionable Knowledge Graph (AKG) Task - 2015-02 -- 2016-06 - A member of the organizers for NTCIR-12 Temporal Information Access Task 
- University Management
- 2020-04 -- 2021-03 - 実習用サーバ - 委員 - 2020-04 -- 2021-03 - 入試グループ - 委員 - 2020-04 -- 2021-03 - クラス担任20 - 委員 - 2020-04 -- 2021-03 - オリエンテーション20 - 委員 - 2019-04 -- 2020-03 - 実習用サーバ - 委員 - 2019-04 -- 2020-03 - 入試グループ - 委員 - 2018-04 -- 2019-03 - 入試グループ - 委員 
- Other activities
- 2023-10 -- 2023-11 - Program Committee Member of The Web Conference 2024 - 2023-10 -- 2023-11 - Program Committee Member of The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024) - 2024-02 -- 2024-03 - Program Committee Member (Short Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021) - 2024-02 -- 2024-03 - Program Committee Member (Full Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021) - 2021-02 -- 2021-03 - Guest Reviewer of Journal: ACM Transactions on Information Systems (TOIS) - 2021-03 -- 2021-07 - Program Committee Member (Short Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021) - 2021-03 -- 2021-07 - Program Committee Member (Full Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021) - 2021-03 -- 2021-08 - Program Committee Member (Applied Data Science Track) of Conference on Knowledge Discovery and Data Mining (SIGKDD 2021) - 2020-09 -- 2020-10 - Program Committee Member of The ACM International Conference on Web Search and Data Mining (WSDM 2021) - 2020-01 -- 2020-04 - Program Committee Member (Full Paper Track) of The ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) - more... 
(Last updated: 2025-08-23)