于 海涛(ウ カイトウ)

所属
図書館情報メディア系
職名
准教授
性別
男性
URL
eメール
5D@3,4?,:N]Y>74>W?>@6@-,W,.W5;
研究室
情報知能研究室　https://ii-research.github.io
研究分野
知能情報学
情報セキュリティ
マルチメディア・データベース
知能ロボティクス
ヒューマンインターフェース・インタラクション
ウェブ情報学・サービス情報学
研究キーワード
情報知能
深層学習
ランキング学習
インタラクティブ情報検索
プライバシー保護機械学習
データマイニング
研究課題
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 -- 2024NEDO/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上保秀夫科学研究費助成事業 基盤研究(B)/
A Scalable Privacy-preserving Information Retrieval System Based on Federated Optimization, On-device Intelligence ...2019-04 -- 2023-03于海涛科学研究費助成事業 基盤研究(B)/15,860,000円
A Novel Interactive Information Retrieval System Using Deep Neural Network2017-04 -- 2019-03于海涛日本学術振興会/若手研究(B)3,900,000円
職歴
2022-02 -- (現在)筑波大学図書館情報メディア系准教授
2015-02 -- 2017-01グラスゴー大学計算科学学部客員研究員
2014-11 -- 2022-01筑波大学図書館情報メディア系助教
2014-04 -- 2014-11徳島大学助教
2013-02 -- 2013-06マイクロソフト・リサーチ・アジア（MSRA）ウェブ・インテリジェンス・グループインターンシップ
取得学位
2013-09博士（工学）徳島大学
所属学協会
2019-07 -- (現在)American Association for the Advancement of Science (AAAS)
2015-10 -- (現在)The Institute of Electrical and Electronics Engineers (IEEE)
2017-11 -- (現在)人工知能学会
2017-11 -- (現在)電子情報通信学会
2015-10 -- (現在)The Association for Computing Machinery (ACM)
受賞
2012-10ACM SIGIR Student Travel Grant at ACM CIKM2012
2013-10Student 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
2016-11The ICTAI-2016 Best Student Paper Award
論文
著書
  • 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
会議発表等
  • 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
    第13回データ工学と情報マネジメントに関するフォーラム/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
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作品
  • Learning to Rank in PyTorch (https://github.com/wildltr/ptranking)
    Hai-Tao Yu
担当授業科目
2024-04 -- 2024-07情報探索と検索筑波大学
2024-07 -- 2024-08Practical Seminar A筑波大学
2024-04 -- 2024-07データサイエンス概論筑波大学
2024-04 -- 2024-07情報行動論筑波大学
2024-10 -- 2024-12知識科学実習B筑波大学
2024-10 -- 2024-12専門英語C-1筑波大学
2024-11 -- 2025-02知識情報演習III-2筑波大学
2024-04 -- 2024-07情報プラクティス筑波大学
2024-10 -- 2024-12Machine Learning and Information Retrieval筑波大学
2024-04 -- 2024-07機械学習とパターン認識筑波大学
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授業以外の教育活動
2023-12 -- 2023-12ランキング学習の紹介知識情報・図書館学類
一般講演
  • Neural Learning-to-Rank
    于 海涛
    ワークショップ: クリエイティブAIが会話型AIと出会うとき/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
学協会等委員
2024-12 -- 2024-12A 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 -- 2024-12A co-organizer of 2024 Australasian Database Conference (ADC 2024)
2024-12 -- 2024-12A co-organizer of R3AG: The First Workshop on Refined and Reliable Retrieval Augmented Generation
2016-08 -- 2017-12A member of the organizers for NTCIR-13 Actionable Knowledge Graph (AKG) Task
2015-02 -- 2016-06A member of the organizers for NTCIR-12 Temporal Information Access Task
学内管理運営業績
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
その他の活動
2023-10 -- 2023-11Program Committee Member of The Web Conference 2024
2023-10 -- 2023-11Program Committee Member of The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024)
2024-02 -- 2024-03Program Committee Member (Short Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021)
2024-02 -- 2024-03Program Committee Member (Full Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021)
2021-02 -- 2021-03Guest Reviewer of Journal: ACM Transactions on Information Systems (TOIS)
2021-03 -- 2021-07Program Committee Member (Short Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021)
2021-03 -- 2021-07Program Committee Member (Full Paper Track) of The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2021)
2021-03 -- 2021-08Program Committee Member (Applied Data Science Track) of Conference on Knowledge Discovery and Data Mining (SIGKDD 2021)
2020-09 -- 2020-10Program Committee Member of The ACM International Conference on Web Search and Data Mining (WSDM 2021)
2020-01 -- 2020-04Program Committee Member (Full Paper Track) of The ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
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(最終更新日: 2025-03-16)