| Unbiased learning to rank: online or offline? Q Ai, T Yang, H Wang, J Mao ACM Transactions on Information Systems (TOIS) 39 (2), 1-29, 2021 | 66 | 2021 |
| A soft artificial muscle driven robot with reinforcement learning T Yang, Y Xiao, Z Zhang, Y Liang, G Li, M Zhang, S Li, TW Wong, Y Wang, ... Scientific reports 8 (1), 14518, 2018 | 62 | 2018 |
| Anisotropic electroactive elastomer for highly maneuverable soft robotics Y Xiao, J Mao, Y Shan, T Yang, Z Chen, F Zhou, J He, Y Shen, J Zhao, ... Nanoscale 12 (14), 7514-7521, 2020 | 58 | 2020 |
| Maximizing marginal fairness for dynamic learning to rank T Yang, Q Ai Proceedings of the Web Conference 2021, 137-145, 2021 | 46 | 2021 |
| Global vision-based formation control of soft robotic fish swarm Z Zhang, T Yang, T Zhang, F Zhou, N Cen, T Li, G Xie Soft Robotics 8 (3), 310-318, 2021 | 44 | 2021 |
| Artificial muscle driven soft hydraulic robot: electromechanical actuation and simplified modeling M Zhang, G Li, X Yang, Y Xiao, T Yang, TW Wong, T Li Smart Materials and Structures 27 (9), 095016, 2018 | 40 | 2018 |
| Can clicks be both labels and features? Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank T Yang, C Luo, H Lu, P Gupta, B Yin, Q Ai Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 25 | 2022 |
| ULTRA: an unbiased learning to rank algorithm toolbox A Tran, T Yang, Q Ai Proceedings of the 30th ACM International Conference on Information …, 2021 | 18 | 2021 |
| Marginal-certainty-aware fair ranking algorithm T Yang, Z Xu, Z Wang, A Tran, Q Ai Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 9 | 2023 |
| Effective exposure amortizing for fair top-k recommendation T Yang, Z Xu, Q Ai arXiv preprint arXiv:2204.03046, 2022 | 9 | 2022 |
| Analysis of multivariate scoring functions for automatic unbiased learning to rank T Yang, S Fang, S Li, Y Wang, Q Ai Proceedings of the 29th ACM International Conference on Information …, 2020 | 8 | 2020 |
| Overview of the NTCIR-16 unbiased learning to rank evaluation (ULTRE) task Y Zhao, Z Niu, F Wang, J Mao, Q Ai, Y Tao, J Zhang, Y Liu Proceedings of the 16th NTCIR Conference on Evaluation of Information Access …, 2022 | 6 | 2022 |
| Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach T Yang, C Han, C Luo, P Gupta, JM Phillips, Q Ai Proceedings of the ACM on Web Conference 2024, 1486-1496, 2024 | 5 | 2024 |
| Scar-like self-reinforced and failure-tolerant dielectric elastomer actuator with AgNWs electrode M Zhang, Y Xie, T Yao, X Cao, Z Zhang, G Li, Z Ma, J Mao, T Yang, Y Luo, ... Journal of Applied Mechanics 85 (3), 031006, 2018 | 5 | 2018 |
| Fara: Future-aware ranking algorithm for fairness optimization T Yang, Z Xu, Z Wang, Q Ai Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| Vertical Allocation-based Fair Exposure Amortizing in Ranking T Yang, Z Xu, Q Ai Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 3 | 2023 |
| Reinforcement Learning to Rank with Coarse-grained Labels Z Xu, A Tran, T Yang, Q Ai arXiv preprint arXiv:2208.07563, 2022 | 3 | 2022 |
| Learning to rank rationales for explainable recommendation Z Xu, Y Han, T Yang, A Tran, Q Ai arXiv preprint arXiv:2206.05368, 2022 | 3 | 2022 |
| OPTIMIZING RANKING EFFECTIVENESS AND FAIRNESS T Yang The University of Utah, 2023 | | 2023 |
| UTIRL at the NTCIR-16 ULTRE Task A Tran, T Yang, Q Ai | | |
Qingyao AiAssistant Professor, Dept. of CS&T, Tsinghua UniversityVerifisert e-postadresse på tsinghua.edu.cn
