| Bias and debias in recommender system: A survey and future directions J Chen, H Dong, X Wang, F Feng, M Wang, X He ACM Transactions on Information Systems 41 (3), 1-39, 2023 | 678 | 2023 |
| Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system T Wei, F Feng, J Chen, Z Wu, J Yi, X He Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 244 | 2021 |
| AutoDebias: Learning to debias for recommendation J Chen, H Dong, Y Qiu, X He, X Xin, L Chen, G Lin, K Yang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 141 | 2021 |
| KuaiRec: A fully-observed dataset and insights for evaluating recommender systems C Gao, S Li, W Lei, J Chen, B Li, P Jiang, X He, J Mao, TS Chua Proceedings of the 31st ACM International Conference on Information …, 2022 | 93* | 2022 |
| On the equivalence of decoupled graph convolution network and label propagation H Dong, J Chen, F Feng, X He, S Bi, Z Ding, P Cui Proceedings of the Web Conference 2021, 3651-3662, 2021 | 81 | 2021 |
| A comprehensive survey on deep clustering: Taxonomy, challenges, and future directions S Zhou, H Xu, Z Zheng, J Chen, J Bu, J Wu, X Wang, W Zhu, M Ester arXiv preprint arXiv:2206.07579, 2022 | 75 | 2022 |
| Popularity bias is not always evil: Disentangling benign and harmful bias for recommendation Z Zhao, J Chen, S Zhou, X He, X Cao, F Zhang, W Wu IEEE Transactions on Knowledge and Data Engineering 35 (10), 9920-9931, 2022 | 69 | 2022 |
| Distilling holistic knowledge with graph neural networks S Zhou, Y Wang, D Chen, J Chen, X Wang, C Wang, J Bu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 60 | 2021 |
| Samwalker: Social recommendation with informative sampling strategy J Chen, C Wang, S Zhou, Q Shi, Y Feng, C Chen The World Wide Web Conference, 228-239, 2019 | 59 | 2019 |
| Fast adaptively weighted matrix factorization for recommendation with implicit feedback J Chen, C Wang, S Zhou, Q Shi, J Chen, Y Feng, C Chen Proceedings of the AAAI Conference on artificial intelligence 34 (04), 3470-3477, 2020 | 58 | 2020 |
| DisenKGAT: knowledge graph embedding with disentangled graph attention network J Wu, W Shi, X Cao, J Chen, W Lei, F Zhang, W Wu, X He Proceedings of the 30th ACM international conference on information …, 2021 | 56 | 2021 |
| CIRS: Bursting filter bubbles by counterfactual interactive recommender system C Gao, S Wang, S Li, J Chen, X He, W Lei, B Li, Y Zhang, P Jiang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 52 | 2023 |
| Kuairand: an unbiased sequential recommendation dataset with randomly exposed videos C Gao, S Li, Y Zhang, J Chen, B Li, W Lei, P Jiang, X He Proceedings of the 31st ACM International Conference on Information …, 2022 | 48 | 2022 |
| Information retrieval meets large language models: a strategic report from chinese ir community Q Ai, T Bai, Z Cao, Y Chang, J Chen, Z Chen, Z Cheng, S Dong, Z Dou, ... AI Open 4, 80-90, 2023 | 47 | 2023 |
| On the effectiveness of sampled softmax loss for item recommendation J Wu, X Wang, X Gao, J Chen, H Fu, T Qiu ACM Transactions on Information Systems 42 (4), 1-26, 2024 | 43 | 2024 |
| Time-aware path reasoning on knowledge graph for recommendation Y Zhao, X Wang, J Chen, Y Wang, W Tang, X He, H Xie ACM Transactions on Information Systems 41 (2), 1-26, 2022 | 42 | 2022 |
| HAHE: Hierarchical attentive heterogeneous information network embedding S Zhou, J Bu, X Wang, J Chen, C Wang arXiv preprint arXiv:1902.01475, 2019 | 41 | 2019 |
| Modeling users' exposure with social knowledge influence and consumption influence for recommendation J Chen, Y Feng, M Ester, S Zhou, C Chen, C Wang Proceedings of the 27th ACM International Conference on Information and …, 2018 | 41 | 2018 |
| Social recommendation based on users’ attention and preference J Chen, C Wang, Q Shi, Y Feng, C Chen Neurocomputing 341, 1-9, 2019 | 37 | 2019 |
| Adaptive influence blocking: Minimizing the negative spread by observation-based policies Q Shi, C Wang, D Ye, J Chen, Y Feng, C Chen 2019 IEEE 35th international conference on data engineering (ICDE), 1502-1513, 2019 | 35 | 2019 |
Xiangnan HeUniversity of Science and Technology of China, School of Data Science在 ustc.edu.cn 的电子邮件经过验证
