Theo dơi
Sheng Zhou
Sheng Zhou
Email được xác minh tại zju.edu.cn - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
2622018
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
1502021
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
1182024
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
972022
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
712021
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
672019
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
652020
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
S Zhou, J Bu, X Wang, J Chen, C Wang
arXiv preprint arXiv:1902.01475, 2019
62*2019
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
602020
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
432018
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
402022
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 on Web Conference 2024, 3598-3608, 2024
342024
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
322023
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
322018
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
302023
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
282022
Opengsl: A comprehensive benchmark for graph structure learning
Z Zhiyao, S Zhou, B Mao, X Zhou, J Chen, Q Tan, D Zha, Y Feng, C Chen, ...
Advances in Neural Information Processing Systems 36, 2024
262024
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
212022
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
182023
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
182020
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