News
Jan 2023
Our paper on adaptive temperature has been accepted by WWW 2023! The code will be released soon!
Oct. 2022
Our paper on Knowledge Distillation for Recommendation has been accepted by WSDM 2023! The paper and code will be released soon!
Sep. 2022
Our paper on Knowledge Distillation has been accepted by NeurIPS 2022! The paper and code has been released!
July. 2022
Our paper on Few-Shot Action Recognition has been accepted by ECCV 2022! The paper and code has been released!
June. 2022
We have released a new survey paper on Deep Clustering! The related paper collection is also released. We are looking forward to any comments or discussions on this topic :)
May. 2022
Our paper on Virtual Try-on has been accepted by IJCAI 2022! The paper and code has been released!
Jan. 2022
Our paper on Heterogeneous Information Network Embedding with Knowledge Distillation has been accepted by The Web Conference(WWW) 2022! The paper and code will be released soon!
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Sheng Zhou
Associate professor
Eagle Lab
Zheda Road, Hangzhou, China
Email: zhousheng_zju AT zju.edu.cn
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I am an associate professor at School of Software Technology, Zhejiang University (ZJU).
My research interest includes network data mining, graph machine learning and AI for accessibility.
Selected Publications (Full List)
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A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester Arxiv 2022 |
Code |
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Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation
Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He WWW 2023 |
Code |
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Unbiased Knowledge Distillation for Recommendation
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He WSDM 2023 |
Code |
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Hilbert Distillation for Cross-Dimensionality Networks
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu NeurIPS 2022 |
Code |
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Learning Spatial-Preserved Skeleton Representation for Few-Shot Action Recognition
Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou*, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu* European Conference on Computer Vision(ECCV) 2022 |
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Code |
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RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
Chao Lin, Zhao Li, Sheng Zhou*, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang and Yuan He IJCAI 2022 |
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Code |
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Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
Can Wang, Sheng Zhou*, Kang Yu, Defang Chen, Bolang Li, Yan Feng and Chun Chen The Web Conference (WWW) 2022 |
Code |
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Distilling Holistic Knowledge with Graph Neural Networks
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu International Conference on Computer Vision (ICCV) 2021 |
Code |
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Direction-Aware User Recommendation Based on Asymmetric Network Embedding
Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu ACM Transactions on Information System (TOIS) |
Code |
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SamWalker++: Recommendation with Informative Sampling Strategy
Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen IEEE Transactions on Knowledge and Data Engineering (TKDE) |
Code |
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Efficient Medical Image Segmentation Based on Knowledge Distillation
Dian Qin, Jia-Jun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jing-Jun Gu, Zhi-Hua Wang, Lei Wu, Hui-Fen Dai IEEE Transactions on Medical Imaging(TMI) |
Code |
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DGE: Deep Generative Network Embedding Based on Commonality and Individuality
Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang AAAI 2020 (Full, Poster) |
Code |
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Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network
Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang Journal of Knowledge-based System |
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HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Can Wang Arxiv 2019 |
Code |
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Samwalker: Social recommendation with informative sampling strategy
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen WWW 2019 (Full, Oral) |
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Prre: Personalized relation ranking embedding for attributed networks
Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang CIKM 2018 (Full, Oral) |
Code |
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ANRL: Attributed Network Representation Learning via Deep Neural Networks
Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang IJCAI 2018 (Full, Oral) |
Code |
Projects
Awards
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ICDM Cup 2022 Risk Commodities Detection on Large-scale E-commerce Graphs,🏆 Winner🏆 [Solution][Code] |
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CIKM Cup 2022 Federated Hetero-Task Learning, 🏆Winner🏆 [Code] |
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KDD Cup 2022 Amazon Multiclass Product Classification Task, 3rd Place Amazon Product Subtitle Identification Task, 3rd Place [Solution] |
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WSDM Cup 2022 Cross-Market Recommendation Challenge, 3rd Place [Solution][Code] |
Professional Services
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PC Member of Conferences: Program Committee Member of ICLR (2023) Program Committee Member of CVPR (2022，2023) Program Committee Member of KDD (2022,2023) Program Committee Member of ICCV (2023) Program Committee Member of AAAI (2021,2022,2023) Program Committee Member of LOG (2022) Program Committee Member of WSDM (2022) Program Committee Member of ECMLPKDD (2022) Program Committee Member of ECCV (2022) Invited Reviewer of Journals: Invited Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE) Invited Reviewer for ACM Transactions on Information Systems (TOIS) Invited Reviewer for IEEE Transactions on Image Processing (TIP) Invited Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Invited Reviewer for ACM Transactions on Knowledge Discovery from Data (TKDD) Invited Reviewer for Neurocomputing |
Courses
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Data Mining and Application（数据挖掘与应用）
[2021] [2022] |
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An Introduction to Graph Neural Network（图神经网络导论）
[2021] [2022] |
Last update: Mar, 2023. Webpage template borrows from Xiangnan He.