Zechun Niu

2025

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Addressing Personalized Bias for Unbiased Learning to Rank.
Zechun Niu|Lang Mei|Liu Yang|Ziyuan Zhao|Qiang Yan|Jiaxin Mao|Ji-Rong Wen
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Distributionally Robust Optimization for Unbiased Learning to Rank.
Zechun Niu|Lang Mei|Chong Chen|Jiaxin Mao
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study.
Zechun Niu|Zhilin Zhang|Jiaxin Mao|Qingyao Ai|Ji-Rong Wen
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2023

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Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task.
Zechun Niu|Jiaxin Mao|Qingyao Ai|Lixin Zou|Shuaiqiang Wang|Dawei Yin
Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR 2023, Tokyo, Japan, December 12-15, 2023

2022

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RUCIR21 at the NTCIR-16 ULTRE Task.
Zechun Niu|Yurou Zhao|Feng Wang|Jiaxin Mao
Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR 2022, Tokyo, Japan, June 14-17, 2022
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Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task.
Yurou Zhao|Zechun Niu|Feng Wang|Jiaxin Mao|Qingyao Ai|Tao Yang|Junqi Zhang|Yiqun Liu
Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, NTCIR 2022, Tokyo, Japan, June 14-17, 2022