Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. - Tao Yang 030; Shikai Fang; Shibo Li; Yulan Wang; Qingyao Ai (CIKM, 2020)

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. - Anh Tran; Tao Yang 030; Qingyao Ai (CIKM, 2021)

Maximizing Marginal Fairness for Dynamic Learning to Rank. - Tao Yang 030; Qingyao Ai (WWW, 2021)

Unbiased Learning to Rank: Online or Offline? - Qingyao Ai; Tao Yang 030; Huazheng Wang; Jiaxin Mao (ACM Trans. Inf. Syst., 2021)

UTIRL at the NTCIR-16 ULTRE Task. - Anh Tran; Tao Yang 030; Qingyao Ai (NTCIR, 2022)

Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task. - Yurou Zhao; Zechun Niu; Feng Wang; Jiaxin Mao; Qingyao Ai; Tao Yang 030; Junqi Zhang; Yiqun Liu 001 (NTCIR, 2022)

Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. - Tao Yang 030; Chen Luo 003; Hanqing Lu; Parth Gupta; Bing Yin; Qingyao Ai (SIGIR, 2022)

Effective Exposure Amortizing for Fair Top-k Recommendation. - Tao Yang 030; Zhichao Xu 001; Qingyao Ai (CoRR, 2022)

Learning to Rank Rationales for Explainable Recommendation. - Zhichao Xu 001; Yi Han; Tao Yang 030; Anh Tran; Qingyao Ai (CoRR, 2022)

Reinforcement Learning to Rank with Coarse-grained Labels. - Zhichao Xu 001; Anh Tran; Tao Yang 030; Qingyao Ai (CoRR, 2022)

FARA: Future-aware Ranking Algorithm for Fairness Optimization. - Tao Yang 030; Zhichao Xu 001; Zhenduo Wang; Qingyao Ai (CIKM, 2023)

Vertical Allocation-based Fair Exposure Amortizing in Ranking. - Tao Yang 030; Zhichao Xu 001; Qingyao Ai (SIGIR-AP, 2023)

Marginal-Certainty-Aware Fair Ranking Algorithm. - Tao Yang 030; Zhichao Xu 001; Zhenduo Wang; Anh Tran; Qingyao Ai (WSDM, 2023)

Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. - Tao Yang 030; Cuize Han; Chen Luo 003; Parth Gupta; Jeff M. Phillips; Qingyao Ai (WWW, 2024)