Publications
Manuscripts¶
2020¶
Hai-Tao Yu. PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank. https://arxiv.org/abs/2008.13368, 2020.
Hai-Tao Yu. Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics. https://arxiv.org/abs/2008.13373, 2020.
Peer-reviewed Journal Papers¶
2022¶
Hai-Tao Yu, Degen, Huang, Fuji, Ren, and Lishuang, Li. Diagnostic Evaluation of Policy-Gradient-Based Ranking. Electronics, 11(37), 2022.
2021¶
W.Wang, D.Huang, Hai-Tao Yu: Word sense disambiguation based on stretchable matching of the semantic template, Mathematical Foundations of Computing, 4(1), 1-13, 2021.
2018¶
Hai-Tao Yu, Jatowt Adam, Roi Blanco, Hideo Joho, Joemon Jose, Long Chen, and Fajie Yuan. Revisiting the cluster-based paradigm for implicit search result diversification. Information Processing and Management, 54(4):507-528, 2018.
2017¶
Long Chen, Huaizhi Zhang, Joemon M Jose, Hai-Tao Yu, Yashar Moshfeghi, and Peter Triantafillou. Topic detection and tracking on heterogeneous information. Journal of Intelligent Information Systems, https://doi.org/10.1007/s10844-017-0487-y, 2017.
Hai-Tao Yu, Jatowt Adam, Roi Blanco, Hideo Joho, and Joemon Jose. An in-depth study on diversity evaluation: the importance of intrinsic diversity. Information Processing and Management, 53(4):799–813, 2017
Hai-Tao Yu, Jatowt Adam, Roi Blanco, Hideo Joho, and Joemon Jose. Decoding multi-click search behavior based on marginal utility. Information Retrieval Journal, 20(1):25–52, 2017
2016¶
Long Chen, Joemon Jose, Hai-Tao Yu, and Fajie Yuan. A hybrid approach for question retrieval in community question answering. The Computer Journal, pages 1–13, 2016
Fuji Ren and Hai-Tao Yu. Role-explicit query extraction and utilization for quantifying user intents. Information Sciences, 329:568–580, 2016
2014¶
Hai-Tao Yu and Fuji Ren. Automatic role-explicit query extraction: A divide-andconquer system leveraging on users’ reformulating behaviors. IEEJ Transactions on Electrical and Electronic Engineering, 9(1):62–70, 2014
Peer-reviewed Conference Papers¶
2022¶
Hai-Tao Yu. Optimize what you evaluate with: search result diversification based on approximate metric optimization. The 36th AAAI Conference on Artificial Intelligence, 2022.
2020¶
N.Muramoto, Hai-Tao Yu: Deep metric learning based on rank-sensitive optimization of top-k precision. Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020. (Accepted)
2019¶
Hai-Tao Yu, Adam Jatowt, Roi Blanco, Joemon Jose and Zhou Ke. A Rank-biased Neural Network Model for Click Modeling. Proceedings of the 2019 Conference on Human Information Interaction & Retrieval, 2019.3.
Hai-Tao Yu, Adam Jatowt, Hideo Joho, Joemon Jose, Xiao Yang and Long Chen. WassRank: Listwise Document Ranking Using Optimal Transport Theory. Proceedings of the 12th International Conference on Web Search and Data Mining (WSDM), 2019.2.
2018¶
Anjie Fang, Iadh Ounis, Craig Macdonald, Philip Habel, Xiaoyu Xiong, Hai-Tao Yu. An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), 1547-1550, 2018.10.
2017¶
Long Chen, Joemon Jose, Hai-Tao Yu, and Fajie Yuan. A semantic graph-based approach for mining common topics from multiple asynchronous text streams. In Proceedings of the 26th WWW, 2017
Fajie Yuan, Guibing Guo, Joemon Jose, Long Chen, Hai-Tao Yu, and Weinan Zhang. Boostfm: boosted factorization machines for top-n feature-based recommendation. In Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
Hai-Tao Yu, Jatowt Adam, Roi Blanco, Hideo Joho, Joemon Jose, Long Chen, and Fajie Yuan. A concise integer linear programming formulation for implicit search result diversification. Proceedings of the 10th International Conference on Web Search and Data Mining (WSDM), 2017.
2016¶
Hai-Tao Yu, Jatowt Adam, Roi Blanco, Hideo Joho, Joemon Jose, Long Chen and Fajie Yuan. An in-depth study of implicit search result diversification. Proceedings of the 12th Asia Information Retrieval Societies Conference (AIRS), 342-348, 2016.11
Fajie Yuan, Guibing Guo, Joemon Jose, Long Chen, Hai-Tao Yu, and Weinan Zhang. LambdaFM: learning optimal ranking with factorization machines using lambda surrogates. Proceedings of the 25th ACM International Conference on Information and Knowledge Management CIKM, 227-236, 2016.10
Fajie Yuan, Guibing Guo, Joemon Jose, Long Chen, Hai-Tao Yu, and Weinan Zhang. Optimizing factorization machines for top-N context-aware recommendations. Proceedings of the 17th International Conference on Web Information Systems Engineering, 278-293, 2016.11
Fajie Yuan, Joemon Jose, Guibing Guo, Long Chen, Hai-Tao Yu, and Rami Alkhawaldeh. Joint geo-spatial preference and pairwise ranking for point-of-interest recommendation. In Proceedings of the 28th ICTAI, 2016.12
Long Chen, Joemon Jose, Hai-Tao Yu, and Fajie Yuan. Probabilistic topic modelling with semantic graph. Proceedings of the 38th European Conference on Information Retrieval (ECIR), 240–251, 2016.3
Long Chen, Joemon Jose, Hai-Tao Yu, Fajie Yuan, and Dell Zhang. A semantic graph based topic model for question retrieval in community question answering. Proceedings of the 9th ACM Conference on Web Search and Data Mining (WSDM), 287–296, 2016.2
Hideo Joho, Jatowt Adam, Roi Blanco, Hai-Tao Yu, and Shuhei Yamamoto. Building text collections for evaluating temporal IR. Proceedings of the 39th ACM SIGIR Conference On Research and Development in Information Retrieval (SIGIR), 677–680, 2016.7
2014¶
Hai-Tao Yu and Fuji Ren. Search result diversification via filling up multiple napsacks. Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), 609–618, 2014.11
2013¶
Hai-Tao Yu and Fuji Ren. Subtopic mining via modifier graph clustering. Proceedings of the 18th PAKDD, 337–347. 2014.5
Hai-Tao Yu and Tetsuya Sakai. User-aware advertisability. Proceedings of the 9th Asia Information Retrieval Societies Conference (AIRS), 452–463, 2013.12
2012¶
Hai-Tao Yu and Fuji Ren. Role-explicit query identification and intent role annotation. Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), 1163–1172, 2012.10
2010¶
Degen Huang, Lian Zhao, Lishuang Li, and Hai-Tao Yu. Mining large-scale comparable corpora from chinese-english news collections. Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 472–480, 2010.10
Hai-Tao Yu, Fuji Ren, Degen Huang, and Lishuang Li. Designing effective web mining-based techniques for OOV translation. Proceedings of the 6th IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLPKE), 337–344, 2010.10
Workshop Papers¶
2019¶
Yun Gao, Hai-Tao Yu, Xin Kang and Fuji Ren. TUA1 at the TREC 2019: Deep Learning Track. Proceedings of the 28th Text Retrieval Conference, 2019.
2017¶
Roi Blanco, Hideo Joho, Adam Jatowt, and Hai-Tao Yu. Test Collection for Evaluating Actionable Knowledge Graphs. In Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR), Tokyo, Japan, pp. 32-37 (2017)
2016¶
Hideo Joho, Jatowt Adam, Roi Blanco, Hai-Tao Yu, and Shuhei Yamamoto. Overview of NTCIR-12 temporal information access (Temporalia-2) task. Proceedings of the 12th NTCIR Conference, 217–224, 2016.6
2014¶
Hai-Tao Yu and Fuji Ren. TUTA1 at the NTCIR-11 IMine task. Proceedings of the 11th NTCIR Conference, 41–48, 2014.12
Hai-Tao Yu, Xin Kang, and Fuji Ren. TUTA1 at the NTCIR-11 Temporalia task. Proceedings of the 11th NTCIR Conference, 461–467, 2014.12
2013¶
Hai-Tao Yu and Fuji Ren. TUTA1 at the NTCIR-10 intent task. Proceedings of the 10th NTCIR Conference, 159–163, 2013.6
2011¶
Hai-Tao Yu and Fuji Ren. Qualifier mining for NTCIR-INTENT. Proceedings of the 9th NTCIR Conference, 138–142, 2011.12