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Zechun Niu
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2020 – today
- 2026
[i4]Erhan Zhang, Yiqun Chen, Zechun Niu, Wei Yang, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao:
PRAISE: Prefix-Based Rollout Reuse in Agentic Search Training. CoRR abs/2604.03675 (2026)
[i3]Yiqun Chen, Wei Yang, Erhan Zhang, Shijie Wang, Qi Liu, Zechun Niu, Bin Zhang, Haitao Li, Rui Li, Lingyong Yan, Jinyuan Feng, Biqing Qi, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao:
UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems. CoRR abs/2605.26646 (2026)- 2025
[c6]Zechun Niu
, Lang Mei
, Liu Yang
, Ziyuan Zhao
, Qiang Yan
, Jiaxin Mao
, Ji-Rong Wen
:
Addressing Personalized Bias for Unbiased Learning to Rank. CIKM 2025: 2222-2231
[c5]Zechun Niu
, Lang Mei
, Chong Chen
, Jiaxin Mao
:
Distributionally Robust Optimization for Unbiased Learning to Rank. SIGIR 2025: 2266-2275
[c4]Zechun Niu
, Zhilin Zhang
, Jiaxin Mao
, Qingyao Ai
, Ji-Rong Wen
:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. SIGIR 2025: 3265-3275
[i2]Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen:
Addressing Personalized Bias for Unbiased Learning to Rank. CoRR abs/2508.20798 (2025)- 2024
[i1]Zechun Niu, Jiaxin Mao, Qingyao Ai, Ji-Rong Wen:
Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study. CoRR abs/2404.03707 (2024)- 2023
[c3]Zechun Niu, Jiaxin Mao, Qingyao Ai, Lixin Zou, Shuaiqiang Wang, Dawei Yin:
Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task. NTCIR 2023- 2022
[c2]Zechun Niu, Yurou Zhao, Feng Wang, Jiaxin Mao:
RUCIR21 at the NTCIR-16 ULTRE Task. NTCIR 2022
[c1]Yurou Zhao, Zechun Niu, Feng Wang, Jiaxin Mao, Qingyao Ai, Tao Yang, Junqi Zhang, Yiqun Liu:
Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task. NTCIR 2022
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