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 | 253 | 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 | 100 | 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 | 69 | 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, 2022 | 65 | 2022 |
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 |
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 | 58 | 2021 |
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding S Zhou, J Bu, X Wang, J Chen, C Wang arXiv preprint arXiv:1902.01475, 2019 | 58* | 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 | 55 | 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 | 49 | 2020 |
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 | 40 | 2018 |
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 |
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 | 23 | 2022 |
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 | 15 | 2022 |
Cross multi-type objects clustering in attributed heterogeneous information network S Zhou, J Bu, Z Zhang, C Wang, L Ma, J Zhang Knowledge-Based Systems 194, 105458, 2020 | 15 | 2020 |
CoSam: An efficient collaborative adaptive sampler for recommendation J Chen, C Jiang, C Wang, S Zhou, Y Feng, C Chen, M Ester, X He ACM Transactions on Information Systems (TOIS) 39 (3), 1-24, 2021 | 14 | 2021 |
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 | 13 | 2023 |
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 | 12 | 2021 |
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 | 11 | 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 | 11 | 2022 |
DGE: Deep Generative Network Embedding Based on Commonality and Individuality S Zhou, X Wang, J Bu, M Ester, P Yu, J Chen, Q Shi, C Wang The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 9 | 2020 |