| Modeling task relationships in multi-task learning with multi-gate mixture-of-experts J Ma, Z Zhao, X Yi, J Chen, L Hong, EH Chi Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 1691 | 2018 |
| Enquiring minds: Early detection of rumors in social media from enquiry posts Z Zhao, P Resnick, Q Mei Proceedings of the 24th international conference on world wide web, 1395-1405, 2015 | 849 | 2015 |
| Data decisions and theoretical implications when adversarially learning fair representations A Beutel, J Chen, Z Zhao, EH Chi arXiv preprint arXiv:1707.00075, 2017 | 573 | 2017 |
| Fairness in recommendation ranking through pairwise comparisons A Beutel, J Chen, T Doshi, H Qian, L Wei, Y Wu, L Heldt, Z Zhao, L Hong, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 519 | 2019 |
| Synthesizer: Rethinking self-attention for transformer models Y Tay, D Bahri, D Metzler, DC Juan, Z Zhao, C Zheng International conference on machine learning, 10183-10192, 2021 | 483 | 2021 |
| Recommending what video to watch next: a multitask ranking system Z Zhao, L Hong, L Wei, J Chen, A Nath, S Andrews, A Kumthekar, ... Proceedings of the 13th ACM conference on recommender systems, 43-51, 2019 | 464 | 2019 |
| Transformer memory as a differentiable search index Y Tay, V Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... Advances in Neural Information Processing Systems 35, 21831-21843, 2022 | 416 | 2022 |
| Efficiently identifying task groupings for multi-task learning C Fifty, E Amid, Z Zhao, T Yu, R Anil, C Finn Advances in Neural Information Processing Systems 34, 27503-27516, 2021 | 403 | 2021 |
| Sampling-bias-corrected neural modeling for large corpus item recommendations X Yi, J Yang, L Hong, DZ Cheng, L Heldt, A Kumthekar, Z Zhao, L Wei, ... Proceedings of the 13th ACM conference on recommender systems, 269-277, 2019 | 330 | 2019 |
| Improving user topic interest profiles by behavior factorization Z Zhao, Z Cheng, L Hong, EH Chi Proceedings of the 24th international conference on world wide web, 1406-1416, 2015 | 212 | 2015 |
| Dselect-k: Differentiable selection in the mixture of experts with applications to multi-task learning H Hazimeh, Z Zhao, A Chowdhery, M Sathiamoorthy, Y Chen, ... Advances in Neural Information Processing Systems 34, 29335-29347, 2021 | 210 | 2021 |
| Understanding and improving knowledge distillation J Tang, R Shivanna, Z Zhao, D Lin, A Singh, EH Chi, S Jain arXiv preprint arXiv:2002.03532, 2020 | 189 | 2020 |
| SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-task Learning J Ma, Z Zhao, J Chen, A Li, L Hong, E Chi AAAI, 2019 | 152 | 2019 |
| Off-policy learning in two-stage recommender systems J Ma, Z Zhao, X Yi, J Yang, M Chen, J Tang, L Hong, EH Chi Proceedings of The Web Conference 2020, 463-473, 2020 | 131 | 2020 |
| The benchmark lottery M Dehghani, Y Tay, AA Gritsenko, Z Zhao, N Houlsby, F Diaz, D Metzler, ... arXiv preprint arXiv:2107.07002, 2021 | 116 | 2021 |
| Hyperprompt: Prompt-based task-conditioning of transformers Y He, S Zheng, Y Tay, J Gupta, Y Du, V Aribandi, Z Zhao, YG Li, Z Chen, ... International conference on machine learning, 8678-8690, 2022 | 112 | 2022 |
| Multitask mixture of sequential experts for user activity streams Z Qin, Y Cheng, Z Zhao, Z Chen, D Metzler, J Qin Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 106 | 2020 |
| Predicting bursts and popularity of hashtags in real-time S Kong, Q Mei, L Feng, F Ye, Z Zhao Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 99 | 2014 |
| Questions about questions: An empirical analysis of information needs on twitter Z Zhao, Q Mei Proceedings of the 22nd international conference on World Wide Web, 1545-1556, 2013 | 81 | 2013 |
| Recommending flickr groups with social topic model J Wang, Z Zhao, J Zhou, H Wang, B Cui, G Qi Information retrieval 15 (3), 278-295, 2012 | 71 | 2012 |
Ed H. ChiGoogle DeepMind / Google BrainVerified email at acm.org
