News
Sep 2023
One paper on Graph Anomaly Detection has been accepted by ICDM 2023! The code will be released soon!
August 2023
Four paper on Graph Clustering, Life Service Recommendation, Click-Through Rate Prediction, Debiased Recommendation have been accepted by CIKM 2023! The code will be released soon!
Jan 2023
Our paper on adaptive temperature has been accepted by WWW 2023! The 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 |
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Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
Yuanchen Bei, Sheng Zhou*, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, and Jiajun Bu ICDM 2023 |
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Homophily-enhanced Structure Learning for Graph Clustering
Ming Gu, Gaoming Yang, Sheng Zhou*, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu CIKM 2023 |
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Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou* and Feiran Huang CIKM 2023 |
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DPGN: Denoising Periodic Graph Network for Life Service Recommendation
Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang CIKM 2023 |
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CDR: Conservative Doubly Robust Learning for Debiased Recommendation
Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang CIKM 2023 |
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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 |
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Unbiased Knowledge Distillation for Recommendation
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He WSDM 2023 |
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Hilbert Distillation for Cross-Dimensionality Networks
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu NeurIPS 2022 |
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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* ECCV 2022 |
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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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Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
Can Wang, Sheng Zhou*, Kang Yu, Defang Chen, Bolang Li, Yan Feng and Chun Chen WWW 2022 |
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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 ICCV 2021 |
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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) |
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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 |
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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 |
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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 |
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Projects
Awards
ICDM Cup 2022 Risk Commodities Detection on Large-scale E-commerce Graphs,🏆 Winner🏆 [Solution][Code] |
CIKM Cup 2022 Federated Hetero-Task Learning, 🏆Winner🏆 [Code] |
KDD Cup 2022 Amazon Multiclass Product Classification Task, 3rd Place Amazon Product Subtitle Identification Task, 3rd Place [Solution] |
WSDM Cup 2022 Cross-Market Recommendation Challenge, 3rd Place [Solution][Code] |
Professional Services
PC Member of Conferences: Program Committee Member of NeurIPS (2023) 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 (2022,2023) Program Committee Member of WSDM (2022) Program Committee Member of ECMLPKDD (2022) Program Committee Member of ECCV (2022) Program Committee Member of SDM (2023) 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 IEEE Transactions on Big Data (TBD) Invited Reviewer for Neurocomputing |
Courses
Data Mining and Application(数据挖掘与应用)
[2021] [2022] [2023] |
An Introduction to Graph Neural Network(图神经网络导论)
[2021] [2022] |
Last update: Sep, 2023. Webpage template borrows from Xiangnan He.