| 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 | 562 | 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 | 285 | 2017 |
| 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 | 252 | 2018 |
| 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 | 183 | 2019 |
| 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 | 155 | 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 | 135 | 2021 |
| 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 | 124 | 2015 |
| 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 | 81 | 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 | 75 | 2013 |
| 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 | 62 | 2019 |
| 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 | 60 | 2012 |
| Multiple feature fusion for social media applications B Cui, AKH Tung, C Zhang, Z Zhao Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 54 | 2010 |
| 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 | 45 | 2019 |
| 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 | 43 | 2020 |
| 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 | 35 | 2020 |
| Hypergrid transformers: Towards a single model for multiple tasks Y Tay, Z Zhao, D Bahri, D Metzler, DC Juan | 13 | 2021 |
| 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 | 13 | 2020 |
| A framework for similarity search of time series cliques with natural relations B Cui, Z Zhao, WH Tok IEEE Transactions on Knowledge and Data Engineering 24 (3), 385-398, 2010 | 13 | 2010 |
| 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, 2021 | 12 | 2021 |
| The benchmark lottery M Dehghani, Y Tay, AA Gritsenko, Z Zhao, N Houlsby, F Diaz, D Metzler, ... arXiv preprint arXiv:2107.07002, 2021 | 11 | 2021 |
Ed H. ChiGoogle Research / Google BrainVerified email at acm.org
