Jie Li

2026

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Causal deconfounding via multiplex spatial-temporal confounder disentanglement for next POI recommendation.
Jie Li|Zhengyang Wu|Haoye Dong|Zetao Zheng|Mingrong Lin
Information Processing and Management 2026 Volume 63 Issue 8
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Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting.
Yaqi Yang|Ellen M. Voorhees|Ziqi Xu|Steven M. Beitzel|Jie Li|Eric C. Jensen|Ziqi Xu|Steven M. Beitzel|Yaqi Yang|Ellen M. Voorhees|Eric C. Jensen|Jie Li|Abdur Chowdhury|Chenglong Ma|Jeffrey Chan|Abdur Chowdhury|Chenglong Ma|David A. Grossman|David A. Grossman|Jeffrey Chan|Mark Sanderson|Ophir Frieder|Mark Sanderson|Ophir Frieder|Xin Zheng|Yongli Ren
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026

2025

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Explaining Recommendation Fairness from a User/Item Perspective.
Jie Li|Yongli Ren|Mark Sanderson|Ke Deng
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 1

2024

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CRUISE on Quantum Computing for Feature Selection in Recommender Systems.
Jiayang Niu|Jie Li|Ke Deng|Yongli Ren
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024.

2022

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The Footprint of Factorization Models and Their Applications in Collaborative Filtering.
Jinze Wang|Yongli Ren|Jie Li|Ke Deng
ACM Transactions on Information Systems (TOIS) 2022 Volume 40 Issue 4
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FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback.
Jie Li|Yongli Ren|Ke Deng
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022