| Review on cyber-physical systems Y Liu, Y Peng, B Wang, S Yao, Z Liu IEEE/CAA Journal of Automatica Sinica 4 (1), 27-40, 2017 | 567 | 2017 |
| Beyond parity: Fairness objectives for collaborative filtering S Yao, B Huang Advances in Neural Information Processing Systems (NeurIPS) 2017, 2921-2930, 2017 | 449 | 2017 |
| Measuring recommender system effects with simulated users S Yao, Y Halpern, N Thain, X Wang, K Lee, F Prost, EH Chi, J Chen, ... arXiv preprint arXiv:2101.04526, 2021 | 46 | 2021 |
| New fairness metrics for recommendation that embrace differences S Yao, B Huang FATML, KDD 2017 Workshop on Fairness, Accountabilty, and Transparency in …, 2017 | 46 | 2017 |
| Beyond parity: Fairness objectives for collaborative filtering. CoRR abs/1705.08804 (2017) S Yao, B Huang | 6 | 2017 |
| A Case Study on a Sustainable Framework for Ethically Aware Predictive Modeling RB Thomas C H Lux, Stefan Nagy, Mohammed Almanaa, Sirui Yao IEEE International Symposium on Technology and Society (ISTAS), 2019 | 3 | 2019 |
| Personalized regularization learning for fairer matrix factorization S Yao, B Huang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 600-611, 2021 | 1 | 2021 |
| Evaluating, Understanding, and Mitigating Unfairness in Recommender Systems S Yao Virginia Tech, 2021 | | 2021 |
| Beyond Next Step Bias: Trajectory Simulation for Understanding Recommender System Behavior Y Sirui, B Alex, C Jilin, W Xuezhi, H Yoni, L Kang, P Flavien, EH Chi, ... FATES 2020: WWW Workshop on Fairness, Accountability, Transparency, Ethics …, 2020 | | 2020 |
| Personalized Diversity in MDP-Based Recommendation Engines A Herbst, S Yao | | 2019 |
| On the Need for Fairness in Financial Recommendation Engines S Yao, B Huang 2018 NeurIPS Workshop on Challenges and Opportunities for AI in Finance., 2018 | | 2018 |
| Framework for Agent-Based Model of Escape Dynamics from a Commercial Aircraft G McLaughlin, S Yao | | |
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerified email at vt.edu
