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| 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 | 255 | 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 | 194 | 2020 |
| 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 | 155 | 2021 |
| 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 | 133 | 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 | 90 | 2019 |
| 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 | 87 | 2021 |
| 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 | 84 | 2018 |
| 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 | 68 | 2022 |
| 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 | 65 | 2020 |
| FinalMLP: an enhanced two-stream MLP model for CTR prediction K Mao, J Zhu, L Su, G Cai, Y Li, Z Dong Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4552-4560, 2023 | 64 | 2023 |
| 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 | 62 | 2021 |
| 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 | 61 | 2022 |
| 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 | 54 | 2020 |
| How pre-trained language models capture factual knowledge? a causal-inspired analysis S Li, X Li, L Shang, Z Dong, C Sun, B Liu, Z Ji, X Jiang, Q Liu arXiv preprint arXiv:2203.16747, 2022 | 51 | 2022 |
| Explainable legal case matching via inverse optimal transport-based rationale extraction W Yu, Z Sun, J Xu, Z Dong, X Chen, H Xu, JR Wen Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 44 | 2022 |
| A survey on the memory mechanism of large language model based agents Z Zhang, X Bo, C Ma, R Li, X Chen, Q Dai, J Zhu, Z Dong, JR Wen arXiv preprint arXiv:2404.13501, 2024 | 43 | 2024 |
| 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 | 41 | 2022 |
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Ji-Rong WenRenmin University of ChinaVerified email at ruc.edu.cn
