Tao Yang - RankMe

23 papers A* 3A 4Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Exposure: Optimizing Ranking Fairness with Non-linear Time-Income Functions. CoRR Xuancheng Li, Tao Yang, Yujia Zhou, Qingyao Ai, Yiqun Liu
2025	J	`jnl`	From to : Multidimensional Supervision of Reasoning Process for LLM Optimization. CoRR Beining Wang, Weihang Su, Hongtao Tian, Tao Yang, Yujia Zhou, Ting Yao, Qingyao Ai, Yiqun Liu
2024	A*	`conf`	Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. WWW Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2023	A	`conf`	FARA: Future-aware Ranking Algorithm for Fairness Optimization. CIKM Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai
2023	J	`jnl`	FARA: Future-aware Ranking Algorithm for Fairness Optimization. CoRR Tao Yang, Zhichao Xu, Zhenduo Wang, Qingyao Ai
2023	A	`conf`	Marginal-Certainty-Aware Fair Ranking Algorithm. WSDM Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
2023	J	`jnl`	Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. CoRR Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai
2023	—	`conf`	Vertical Allocation-based Fair Exposure Amortizing in Ranking. SIGIR-AP Tao Yang, Zhichao Xu, Qingyao Ai
2022	A*	`conf`	Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. SIGIR Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai
2022	J	`jnl`	Effective Exposure Amortizing for Fair Top-k Recommendation. CoRR Tao Yang, Zhichao Xu, Qingyao Ai
2022	J	`jnl`	Learning to Rank Rationales for Explainable Recommendation. CoRR Zhichao Xu, Yi Han, Tao Yang, Anh Tran, Qingyao Ai
2022	J	`jnl`	Marginal-Certainty-aware Fair Ranking Algorithm. CoRR Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai
2022	—	`conf`	Overview of the NTCIR-16 Unbiased Learning to Rank Evaluation (ULTRE) Task. NTCIR Yurou Zhao, Zechun Niu, Feng Wang, Jiaxin Mao, Qingyao Ai, Tao Yang, Junqi Zhang, Yiqun Liu
2022	J	`jnl`	Reinforcement Learning to Rank with Coarse-grained Labels. CoRR Zhichao Xu, Anh Tran, Tao Yang, Qingyao Ai
2022	—	`conf`	UTIRL at the NTCIR-16 ULTRE Task. NTCIR Anh Tran, Tao Yang, Qingyao Ai
2021	A*	`conf`	Maximizing Marginal Fairness for Dynamic Learning to Rank. WWW Tao Yang, Qingyao Ai
2021	J	`jnl`	Maximizing Marginal Fairness for Dynamic Learning to Rank. CoRR Tao Yang, Qingyao Ai
2021	A	`conf`	ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. CIKM Anh Tran, Tao Yang, Qingyao Ai
2021	J	`jnl`	ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. CoRR Anh Tran, Tao Yang, Qingyao Ai
2021	J	`jnl`	Unbiased Learning to Rank: Online or Offline? ACM Trans. Inf. Syst. Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao
2020	A	`conf`	Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. CIKM Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
2020	J	`jnl`	Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. CoRR Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
2020	J	`jnl`	Unbiased Learning to Rank: Online or Offline? CoRR Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao