Jin Huang

33 papers A* 7A 6B 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Joint Factual and Counterfactual Explanations for Top-k GNN-based Recommendations.
Trans. Recomm. Syst.
Ziheng Chen, Jin Huang, Fabrizio Silvestri, Yongfeng Zhang, Hongshik Ahn, Gabriele Tolomei
2026 — conf
LLM-Based Listwise Reranking Under the Effect of Positional Bias.
ECIR (1)
Jingfen Qiao, Jin Huang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Evangelos Kanoulas, Andrew Yates
2026 A* conf
Reimagining Social Robots as Recommender Systems: Foundations, Framework, and Applications.
HRI
Jin Huang, Fethiye Irmak Dogan, Hatice Gunes
2026 J jnl
Reimagining Social Robots as Recommender Systems: Foundations, Framework, and Applications.
CoRR
Jin Huang, Fethiye Irmak Dogan, Hatice Gunes
2026 J jnl
The Unfairness of Multifactorial Bias in Recommendation.
CoRR
Masoud Mansoury, Jin Huang, Mykola Pechenizkiy, Herke van Hoof, Maarten de Rijke
2025 A* conf
AgentIR: 2nd Workshop on Agent-based Information Retrieval.
SIGIR
Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2025 A conf
FUTURE: Flexible Unlearning for Tree Ensemble.
CIKM
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 J jnl
FUTURE: Flexible Unlearning for Tree Ensemble.
CoRR
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 — conf
Prompt-Tuning for Recommendation Unlearning.
CAI
Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei
2025 — conf
Revisiting Language Models in Neural News Recommender Systems.
ECIR (4)
Yuyue Zhao, Jin Huang, David Vos, Maarten de Rijke
2025 J jnl
Revisiting Language Models in Neural News Recommender Systems.
CoRR
Yuyue Zhao, Jin Huang, David Vos, Maarten de Rijke
2024 A* conf
AgentIR: 1st Workshop on Agent-based Information Retrieval.
SIGIR
Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2024 J jnl
Debiasing Machine Unlearning with Counterfactual Examples.
CoRR
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
2024 A* conf
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems.
SIGIR
Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024 J jnl
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems.
CoRR
Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
2024 J jnl
Report on the Search Futures Workshop at ECIR 2024.
SIGIR Forum
Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao
2024 A conf
Unbiased Learning to Rank: On Recent Advances and Practical Applications.
WSDM
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023 A conf
DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.
CIKM
Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang
2023 A* conf
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.
SIGIR
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2023 J jnl
Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.
CoRR
Shashank Gupta, Philipp Hager, Jin Huang, Ali Vardasbi, Harrie Oosterhuis
2022 A conf
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic.
WSDM
Jin Huang, Harrie Oosterhuis, Maarten de Rijke
2022 A* conf
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study.
SIGIR
Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke
2022 J jnl
State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study.
CoRR
Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke
2021 B conf
Costly Features Classification using Monte Carlo Tree Search.
IJCNN
Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning
2021 J jnl
Costly Features Classification using Monte Carlo Tree Search.
CoRR
Ziheng Chen, Jin Huang, Hongshik Ahn, Xin Ning
2021 J jnl
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic.
CoRR
Jin Huang, Harrie Oosterhuis, Maarten de Rijke
2020 A conf
Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems.
RecSys
Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof
2019 J jnl
KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems.
Data Intell.
Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
2019 A conf
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.
WSDM
Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong
2018 A* conf
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks.
SIGIR
Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen, Edward Y. Chang
2018 — conf
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems.
CIKM Workshops
Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
2018 J jnl
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems.
CoRR
Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
2016 — conf
Learning Distributed Representations for Recommender Systems with a Network Embedding Approach.
AIRS
Wayne Xin Zhao, Jin Huang, Ji-Rong Wen