| A probabilistic approach to robust matrix factorization N Wang, T Yao, J Wang, DY Yeung Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 191 | 2012 |
| Self-supervised Learning for Large-scale Item Recommendations T Yao, X Yi, DZ Cheng, F Yu, T Chen, A Menon, L Hong, EH Chi, S Tjoa, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 113* | 2021 |
| Efficient subspace segmentation via quadratic programming S Wang, X Yuan, T Yao, S Yan, J Shen Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 519-524, 2011 | 95 | 2011 |
| A model of two tales: Dual transfer learning framework for improved long-tail item recommendation Y Zhang, DZ Cheng, T Yao, X Yi, L Hong, EH Chi Proceedings of the ACM Web Conference 2021, 2220-2231, 2021 | 40 | 2021 |
| Learning to embed categorical features without embedding tables for recommendation WC Kang, DZ Cheng, T Yao, X Yi, T Chen, L Hong, EH Chi Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data …, 2021 | 35* | 2021 |
| Learning Bayesian network parameters under equivalence constraints T Yao, A Choi, A Darwiche Artificial Intelligence 244, 239-257, 2017 | 11 | 2017 |
| H. Chi, Steve Tjoa, Jieqi Kang, and Evan Ettinger. 2020. Self-supervised Learning for Deep Models in Recommendations. CoRR (2020) T Yao, X Yi, DZ Cheng, FX Yu, AK Menon, L Hong | 7 | 2007 |
| Distributionally-robust Recommendations for Improving Worst-case User Experience H Wen, X Yi, T Yao, J Tang, L Hong, EH Chi Proceedings of the ACM Web Conference 2022, 3606-3610, 2022 | 6 | 2022 |
| H Chi, Steve Tjoa, Jieqi Kang, et al. 2020 T Yao, X Yi, DZ Cheng, F Yu, T Chen, A Menon, L Hong Self-supervised learning for deep models in recommendations. arXiv e-prints, 2020 | 5 | 2020 |
| Improving multi-task generalization via regularizing spurious correlation Z Hu, Z Zhao, X Yi, T Yao, L Hong, Y Sun, E Chi Advances in Neural Information Processing Systems 35, 11450-11466, 2022 | 2 | 2022 |
| Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN) Y Zhang, R Wang, DZ Cheng, T Yao, X Yi, L Hong, J Caverlee, EH Chi arXiv preprint arXiv:2210.14309, 2022 | 1 | 2022 |
| Learning Bayesian Networks under Equivalence Constraints T Yao, A Choi, A Darwiche Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | | 2013 |
