| ANRL: attributed network representation learning via deep neural networks. Z Zhang, H Yang, J Bu, S Zhou, P Yu, J Zhang, M Ester, C Wang Ijcai 18, 3155-3161, 2018 | 269 | 2018 |
| Efficient medical image segmentation based on knowledge distillation D Qin, JJ Bu, Z Liu, X Shen, S Zhou, JJ Gu, ZH Wang, L Wu, HF Dai IEEE Transactions on Medical Imaging 40 (12), 3820-3831, 2021 | 157 | 2021 |
| A comprehensive survey on deep clustering: Taxonomy, challenges, and future directions S Zhou, H Xu, Z Zheng, J Chen, Z Li, J Bu, J Wu, X Wang, W Zhu, M Ester ACM Computing Surveys 57 (3), 1-38, 2024 | 133 | 2024 |
| 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 | 107 | 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 | 75 | 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 | 70 | 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 | 65 | 2020 |
| Adaptive-step graph meta-learner for few-shot graph classification N Ma, J Bu, J Yang, Z Zhang, C Yao, Z Yu, S Zhou, X Yan Proceedings of the 29th ACM international conference on information …, 2020 | 64 | 2020 |
| HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding S Zhou, J Bu, X Wang, J Chen, C Wang arXiv preprint arXiv:1902.01475, 2019 | 63* | 2019 |
| Macro graph neural networks for online billion-scale recommender systems H Chen, Y Bei, Q Shen, Y Xu, S Zhou, W Huang, F Huang, S Wang, ... Proceedings of the ACM web conference 2024, 3598-3608, 2024 | 43 | 2024 |
| Collaborative knowledge distillation for heterogeneous information network embedding C Wang, S Zhou, K Yu, D Chen, B Li, Y Feng, C Chen Proceedings of the ACM Web Conference 2022, 1631-1639, 2022 | 43 | 2022 |
| 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 | 43 | 2018 |
| Unbiased knowledge distillation for recommendation G Chen, J Chen, F Feng, S Zhou, X He Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 35 | 2023 |
| Adap-τ: Adaptively modulating embedding magnitude for recommendation J Chen, J Wu, J Wu, X Cao, S Zhou, X He Proceedings of the ACM Web Conference 2023, 1085-1096, 2023 | 34 | 2023 |
| Prre: Personalized relation ranking embedding for attributed networks S Zhou, H Yang, X Wang, J Bu, M Ester, P Yu, J Zhang, C Wang Proceedings of the 27th ACM international conference on information and …, 2018 | 31 | 2018 |
| Opengsl: A comprehensive benchmark for graph structure learning Z Zhou, S Zhou, B Mao, X Zhou, J Chen, Q Tan, D Zha, Y Feng, C Chen, ... Advances in Neural Information Processing Systems 36, 17904-17928, 2023 | 30 | 2023 |
| Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition N Ma, H Zhang, X Li, S Zhou, Z Zhang, J Wen, H Li, J Gu, J Bu European Conference on Computer Vision (ECCV), 174-191, 2022 | 27 | 2022 |
| Reinforcement neighborhood selection for unsupervised graph anomaly detection Y Bei, S Zhou, Q Tan, H Xu, H Chen, Z Li, J Bu 2023 IEEE International Conference on Data Mining (ICDM), 11-20, 2023 | 24 | 2023 |
| Context-guided entropy minimization for semi-supervised domain adaptation N Ma, J Bu, L Lu, J Wen, S Zhou, Z Zhang, J Gu, H Li, X Yan Neural Networks 154, 270-282, 2022 | 24 | 2022 |
| SamWalker++: recommendation with informative sampling strategy C Wang, J Chen, S Zhou, Q Shi, Y Feng, C Chen IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 | 19 | 2021 |
Can WangProfessor of Computer Science, Zhejiang Universityzju.edu.cn üzerinde doğrulanmış e-posta adresine sahip