| Federated meta-learning with fast convergence and efficient communication F Chen, M Luo, Z Dong, Z Li, X He arXiv preprint arXiv:1802.07876, 2018 | 411 | 2018 |
| WP: clubhouse? An exploration of Wikipedia's gender imbalance STK Lam, A Uduwage, Z Dong, S Sen, DR Musicant, L Terveen, J Riedl Proceedings of the 7th international symposium on Wikis and open …, 2011 | 244 | 2011 |
| A general knowledge distillation framework for counterfactual recommendation via uniform data D Liu, P Cheng, Z Dong, X He, W Pan, Z Ming Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 129 | 2020 |
| Noninvasive self-attention for side information fusion in sequential recommendation C Liu, X Li, G Cai, Z Dong, H Zhu, L Shang Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4249-4256, 2021 | 75 | 2021 |
| Improving ad click prediction by considering non-displayed events B Yuan, JY Hsia, MY Yang, H Zhu, CY Chang, Z Dong, CJ Lin Proceedings of the 28th ACM International Conference on Information and …, 2019 | 72 | 2019 |
| Deepfm: An end-to-end wide & deep learning framework for CTR prediction H Guo, R Tang, Y Ye, Z Li, X He, Z Dong arXiv preprint arXiv:1804.04950, 2018 | 69 | 2018 |
| SimpleX: A simple and strong baseline for collaborative filtering K Mao, J Zhu, J Wang, Q Dai, Z Dong, X Xiao, X He Proceedings of the 30th ACM International Conference on Information …, 2021 | 66 | 2021 |
| Mitigating confounding bias in recommendation via information bottleneck D Liu, P Cheng, H Zhu, Z Dong, X He, W Pan, Z Ming Proceedings of the 15th ACM Conference on Recommender Systems, 351-360, 2021 | 46 | 2021 |
| Metaselector: Meta-learning for recommendation with user-level adaptive model selection M Luo, F Chen, P Cheng, Z Dong, X He, J Feng, Z Li Proceedings of The Web Conference 2020, 2507-2513, 2020 | 42 | 2020 |
| Top-n recommendation with counterfactual user preference simulation M Yang, Q Dai, Z Dong, X Chen, X He, J Wang Proceedings of the 30th ACM International Conference on Information …, 2021 | 38 | 2021 |
| In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network M Warncke-Wang, A Uduwage, Z Dong, J Riedl Proceedings of the Eighth Annual International Symposium on Wikis and Open …, 2012 | 37 | 2012 |
| Less is better: Unweighted data subsampling via influence function Z Wang, H Zhu, Z Dong, X He, SL Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6340-6347, 2020 | 32 | 2020 |
| On the opportunity of causal learning in recommendation systems: Foundation, estimation, prediction and challenges P Wu, H Li, Y Deng, W Hu, Q Dai, Z Dong, J Sun, R Zhang, XH Zhou arXiv preprint arXiv:2201.06716, 2022 | 27 | 2022 |
| Unbiased Ad click prediction for position-aware advertising systems B Yuan, Y Liu, JY Hsia, Z Dong, CJ Lin Proceedings of the 14th ACM Conference on Recommender Systems, 368-377, 2020 | 24 | 2020 |
| MINER: multi-interest matching network for news recommendation J Li, J Zhu, Q Bi, G Cai, L Shang, Z Dong, X Jiang, Q Liu Findings of the Association for Computational Linguistics: ACL 2022, 343-352, 2022 | 22 | 2022 |
| War versus inspirational in forrest gump: Cultural effects in tagging communities Z Dong, C Shi, S Sen, L Terveen, J Riedl Proceedings of the International AAAI Conference on Web and Social Media 6 …, 2012 | 22 | 2012 |
| Influence function for unbiased recommendation J Yu, H Zhu, CY Chang, X Feng, B Yuan, X He, Z Dong Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 21 | 2020 |
| Pinocchio: Probabilistic influence-based location selection over moving objects M Wang, H Li, J Cui, K Deng, SS Bhowmick, Z Dong IEEE Transactions on Knowledge and Data Engineering 28 (11), 3068-3082, 2016 | 21 | 2016 |
| Uncovering download fraud activities in mobile app markets Y Dou, W Li, Z Liu, Z Dong, J Luo, PS Yu Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 20 | 2019 |
| A generalized doubly robust learning framework for debiasing post-click conversion rate prediction Q Dai, H Li, P Wu, Z Dong, XH Zhou, R Zhang, R Zhang, J Sun Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 17 | 2022 |
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