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Hai-Tao Yu 0003
Haitao Yu 0003
Person information
- affiliation: University of Tsukuba, Institute of Library, Information and Media Science, Tsukuba, Japan
- affiliation (former, PhD 2013): University of Tokushima, Faculty of Engineering, Tokushima, Japan
Other persons with the same name
- Haitao Yu (aka: Hai-Tao Yu) — disambiguation page
- Hai-Tao Yu 0015 (aka: Haitao Yu 0015) — Southeast University, Pattern Learning and Mining (PALM) Lab, Nanjing, China
- Haitao Yu 0001
— Tianjin University, School of Electrical and Information Engineering, China
- Haitao Yu 0002
- Haitao Yu 0004 — Guilin University of Technology, Guilin, China
- Haitao Yu 0005
- Haitao Yu 0007 — Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
- Haitao Yu 0008
- Haitao Yu 0009 — Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 1 more)
- Haitao Yu 0010 — Heilongjiang University, Harbin, China
- Haitao Yu 0011 — Xinjiang University, Urumchi, China
- Haitao Yu 0012 — Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Haitao Yu 0013 — Landmark Group of Builders Ltd., Edmonton, AB, Canada
- Haitao Yu 0014 — Duke University, Durham, NC, USA (and 1 more)
- Haitao Yu 0016
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2020 – today
- 2026
- [j18]Yumo Yao
MCKT: A Parallel Mamba-Based Model for Content-Aware Knowledge Tracing. IEEE Access 14: 70510-70529 (2026) - [j17]Yan Ge, Hai-Tao Yu, Chao Lei:
Multi-dimensional hierarchical temporal alignment for improved temporal commonsense reasoning in large language models. Inf. Process. Manag. 63(7): 104875 (2026) - [c54]Yubo Fang, Hai-Tao Yu, Hideo Joho, Sumio Fujita:
Retrieval-Augmented Diffusion Language Model for Generative Commonsense Reasoning. DASFAA (3) 2026: 341-356 - [c53]Yubo Fang
Towards Adaptive and Retriever-friendly Retrieval-augmented Generation via Reinforcement Learning. ICTIR 2026: 82-93 - [c52]Xuanchen Zhou
EasyRAG: A Beginner-Friendly and Interactive Framework for Retrieval-Augmented Generation. SIGIR 2026: 5250-5255 - [i7]Yao Wang, Xin Liu, Zhuochen Liu, Jiankang Chen, Adam Jatowt, Kyoungsook Kim, Noriko Kando, Haitao Yu:
Event-Centric Human Value Understanding in News-Domain Texts: An Actor-Conditioned, Multi-Granularity Benchmark. CoRR abs/2603.17838 (2026) - 2025
- [j16]Zhong Huang
SG-TE: Spatial Guidance and Temporal Enhancement Network for Facial-Bodily Emotion Recognition. CAAI Trans. Intell. Technol. 10(3): 871-890 (2025) - [j15]Hai-Tao Yu
Estimating the plausibility of commonsense statements by novelly fusing large language model and graph neural network. Inf. Process. Manag. 62(4): 104146 (2025) - [j14]Yan Ge, Hai-Tao Yu, Chao Lei, Xin Liu
Implicit knowledge-augmented prompting for commonsense explanation generation. Knowl. Inf. Syst. 67(4): 3663-3698 (2025) - [c51]Tian Bai
MP: Endowing Large Language Models with Lateral Thinking. AAAI 2025: 23460-23468 - [c50]Hai-Tao Yu
Emotional Earth Mover's Distance for Fine-Grained Hierarchical Emotion Analysis. ADMA (1) 2025: 296-310 - [c49]Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Hai-Tao Yu, Xin Liu
Action Sequence Analysis Using Temporal Commonsense Knowledge. PAKDD (6) 2025: 355-367 - [c48]Kaipeng Li
A Combination-based Framework for Generative Text-image Retrieval: Dual Identifiers and Hybrid Retrieval Strategies. SIGIR-AP 2025: 281-291 - [c47]Haitao Yu
R3AG 2025: Workshop on Refined and Reliable Retrieval-Augmented Generation. SIGIR-AP 2025: 461-464 - [c46]Junchen Fu
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. WWW (Companion Volume) 2025: 2149-2152 - [i6]Junchen Fu, Xuri Ge, Xin Xin
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. CoRR abs/2504.14788 (2025) - 2024
- [j13]Yao Wang
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. IEEE Access 12: 103313-103328 (2024) - [c45]Haonan Tan
An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank. ECIR (3) 2024: 468-476 - [c44]Yijun Duan, Xin Liu
Inexact Graph Representation Learning. IJCNN 2024: 1-8 - [c43]Linhuang Wang, Xin Kang, Fei Ding, Haitao Yu, Yunong Wu, Kazuyuki Matsumoto, Satoshi Nakagawa, Fuji Ren:
Self Decoupling-Reconstruction Network for Facial Expression Recognition. IJCNN 2024: 1-8 - [c42]Haitao Yu, Lingzhen Zheng, Kaiyu Yang, Sumio Fujita, Hideo Joho:
Towards Incorporating Personalized Context for Conversational Information Seeking. IR-RAG@SIGIR 2024: 56-61 - [c41]Zihan Wang
R3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. SIGIR-AP 2024: 307-310 - [c40]Yating Zhang, Haitao Yu:
IIUoT at TREC 2024 Interactive Knowledge Assistance Track. TREC 2024 - [i5]Yao Wang, Xin Liu
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. CoRR abs/2405.08311 (2024) - [i4]Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. CoRR abs/2410.20598 (2024) - 2023
- [j12]Naoya Muramatsu, Hai-Tao Yu, Tetsuji Satoh:
Combining Spiking Neural Networks with Artificial Neural Networks for Enhanced Image Classification. IEICE Trans. Inf. Syst. 106(2): 252-261 (2023) - [j11]Hai-Tao Yu, Rajesh Piryani
An in-depth study on adversarial learning-to-rank. Inf. Retr. J. 26(1): 1 (2023) - [c39]Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono
Commonsense Temporal Action Knowledge (CoTAK) Dataset. CIKM 2023: 5361-5365 - [c38]Yijun Duan, Xin Liu
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. ECAI 2023: 583-589 - [c37]Kaiyu Yang, Lingzhen Zheng, Haitao Yu, Sumio Fujita, Hideo Joho:
University of Tsukuba Team at the TREC 2023 Deep Learning Track. TREC 2023 - [c36]Lingzhen Zheng, Kaiyu Yang, Haitao Yu, Sumio Fujita, Hideo Joho:
University of Tsukuba Team at the TREC 2023 Interactive Knowledge Assistance Track. TREC 2023 - 2022
- [j10]Yijun Duan
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies. IEEE Access 10: 73879-73892 (2022) - [j9]Yijun Duan
Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network. Remote. Sens. 14(14): 3295 (2022) - [j8]Yijun Duan
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs. Remote. Sens. 14(18): 4479 (2022) - [c35]Hai-Tao Yu:
Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization. AAAI 2022: 10399-10407 - [c34]Lirong Zhang, Hideo Joho, Sumio Fujita, Hai-Tao Yu:
Selectively Expanding Queries and Documents for News Background Linking. CIKM 2022: 4687-4691 - [c33]Xin Kang, Rongyu Dou, Haitao Yu:
TUA1 at eRisk 2022: Exploring Affective Memories for Early Detection of Depression. CLEF (Working Notes) 2022: 1026-1037 - [c32]Yijun Duan, Xin Liu
Dual Cost-sensitive Graph Convolutional Network. IJCNN 2022: 1-8 - [c31]Yijun Duan, Xin Liu
Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs. ECML/PKDD (2) 2022: 20-36 - [c30]Lirong Zhang, Hideo Joho, Haitao Yu:
Semantic Modelling of Document Focus-Time for Temporal Information Retrieval. WWW (Companion Volume) 2022: 896-902 - 2021
- [j7]Wei Wang, Degen Huang, Hai-Tao Yu:
Word sense disambiguation based on stretchable matching of the semantic template. Math. Found. Comput. 4(1): 1 (2021) - [i3]Naoya Muramatsu, Hai-Tao Yu:
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification. CoRR abs/2102.10592 (2021) - 2020
- [c29]Naoki Muramoto, Hai-Tao Yu:
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision. CIKM 2020: 2161-2164 - [i2]Hai-Tao Yu:
PT-Ranking: A Benchmarking Platform for Neural Learning-to-Rank. CoRR abs/2008.13368 (2020) - [i1]Hai-Tao Yu:
Optimize What You Evaluate With: A Simple Yet Effective Framework For Direct Optimization Of IR Metrics. CoRR abs/2008.13373 (2020)
2010 – 2019
- 2019
- [c28]Haitao Yu, Adam Jatowt
A Rank-biased Neural Network Model for Click Modeling. CHIIR 2019: 183-191 - [c27]Yun Gao, Xin Kang, Fuji Ren, Hai-Tao Yu:
TUA1 at the TREC 2019: Deep Learning Track. TREC 2019 - [c26]Haitao Yu, Adam Jatowt
WassRank: Listwise Document Ranking Using Optimal Transport Theory. WSDM 2019: 24-32 - 2018
- [j6]Haitao Yu, Adam Jatowt
Revisiting the cluster-based paradigm for implicit search result diversification. Inf. Process. Manag. 54(4): 507-528 (2018) - [j5]Long Chen
Topic detection and tracking on heterogeneous information. J. Intell. Inf. Syst. 51(1): 115-137 (2018) - [c25]Anjie Fang, Iadh Ounis, Craig MacDonald, Philip Habel, Xiaoyu Xiong, Haitao Yu:
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. CIKM 2018: 1547-1550 - 2017
- [j4]Long Chen, Joemon M. Jose
A Hybrid Approach for Question Retrieval in Community Question Answerin. Comput. J. 60(7): 1019-1031 (2017) - [j3]Haitao Yu, Adam Jatowt
An in-depth study on diversity evaluation: The importance of intrinsic diversity. Inf. Process. Manag. 53(4): 799-813 (2017) - [j2]Haitao Yu, Adam Jatowt
Decoding multi-click search behavior based on marginal utility. Inf. Retr. J. 20(1): 25-52 (2017) - [c24]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. IUI 2017: 45-54 - [c23]Roi Blanco, Hideo Joho, Adam Jatowt
Overview of NTCIR-13 Actionable Knowledge Graph (AKG) Task. NTCIR 2017 - [c22]Roi Blanco, Hideo Joho, Adam Jatowt, Haitao Yu:
Test Collection for Evaluating Actionable Knowledge Graphs. KG4IR@SIGIR 2017: 32-37 - [c21]Haitao Yu, Adam Jatowt
A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification. WSDM 2017: 191-200 - [c20]Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan:
A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams. WWW 2017: 1201-1209 - 2016
- [j1]Fuji Ren, Haitao Yu:
Role-explicit query extraction and utilization for quantifying user intents. Inf. Sci. 329: 568-580 (2016) - [c19]Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan:
An In-Depth Study of Implicit Search Result Diversification. AIRS 2016: 342-348 - [c18]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. CIKM 2016: 227-236 - [c17]Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Huaizhi Zhang:
Probabilistic Topic Modelling with Semantic Graph. ECIR 2016: 240-251 - [c16]Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh:
Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. ICTAI 2016: 46-53 - [c15]Long Chen, Haitao Yu, Fajie Yuan, Joemon M. Jose:
GIR at the NTCIR-12 Temporalia Task. NTCIR 2016 - [c14]Hideo Joho, Adam Jatowt
Overview of NTCIR-12 Temporal Information Access (Temporalia-2) Task. NTCIR 2016 - [c13]Hideo Joho, Adam Jatowt
Building Test Collections for Evaluating Temporal IR. SIGIR 2016: 677-680 - [c12]Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang:
Optimizing Factorization Machines for Top-N Context-Aware Recommendations. WISE (1) 2016: 278-293 - [c11]Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Dell Zhang:
A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering. WSDM 2016: 287-296 - 2014
- [c10]Hai-Tao Yu, Fuji Ren:
Search Result Diversification via Filling Up Multiple Knapsacks. CIKM 2014: 609-618 - [c9]Hai-Tao Yu, Xin Kang, Fuji Ren:
TUTA1 at the NTCIR-11 Temporalia Task. NTCIR 2014 - [c8]Hai-Tao Yu, Fuji Ren:
TUTA1 at the NTCIR-11 IMine Task. NTCIR 2014 - [c7]Hai-Tao Yu, Fuji Ren:
Subtopic Mining via Modifier Graph Clustering. PAKDD (1) 2014: 337-347 - 2013
- [c6]Hai-Tao Yu, Tetsuya Sakai:
User-Aware Advertisability. AIRS 2013: 452-463 - [c5]Haitao Yu, Fuji Ren:
TUTA1 at the NTCIR-10 Intent Task. NTCIR 2013 - 2012
- [c4]Haitao Yu, Fuji Ren:
Role-explicit query identification and intent role annotation. CIKM 2012: 1163-1172 - 2011
- [c3]Haitao Yu, Fuji Ren, Song Liu:
Qualifier Mining for NTCIR-INTENT. NTCIR 2011 - 2010
- [c2]Degen Huang, Lian Zhao, Lishuang Li, Haitao Yu:
Mining Large-scale Comparable Corpora from Chinese-English News Collections. COLING (Posters) 2010: 472-480 - [c1]Haitao Yu, Fuji Ren, Degen Huang, Lishuang Li:
Designing effective web mining-based techniques for OOV translation. NLPKE 2010: 1-8
Coauthor Index
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