| 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 | 658 | 2015 |
| 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 | 519 | 2018 |
| Data decisions and theoretical implications when adversarially learning fair representations A Beutel, J Chen, Z Zhao, EH Chi arXiv preprint arXiv:1707.00075, 2017 | 374 | 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 | 295 | 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 | 247 | 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 | 232 | 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 | 154 | 2015 |
| 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 | 120 | 2019 |
| 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 | 88 | 2014 |
| 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 | 81 | 2021 |
| 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 | 80 | 2013 |
| 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 | 75 | 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 | 71 | 2020 |
| Recommending flickr groups with social topic model J Wang, Z Zhao, J Zhou, H Wang, B Cui, G Qi Information retrieval 15, 278-295, 2012 | 65 | 2012 |
| 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 | 61 | 2020 |
| 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 | 55 | 2022 |
| 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 |
| 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 | 38 | 2021 |
| The benchmark lottery M Dehghani, Y Tay, AA Gritsenko, Z Zhao, N Houlsby, F Diaz, D Metzler, ... arXiv preprint arXiv:2107.07002, 2021 | 37 | 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 | 34 | 2020 |
Ed H. ChiGoogle Research / Google BrainE-mail megerősítve itt: acm.org
