News


Nov 2024
One paper has been accepted by KDD 2025!

Oct 2024
Two paper have been accepted by WSDM 2025!

Oct 2024
Four paper have been accepted by NeurIPS 2024!

Aug 2024
Our survey paper on Deep Clustering has been accepted by ACM Computing Surveys!

Jan 2024
Two paper on Graph-based Recommender System have been accepted by WWW 2024!

Dec 2023
Our paper on Graph Domain Adaptation has been accepted by AAAI 2024!

Dec 2023
Our paper on Dynamic Graph Pre-Training has been accepted by ICDE 2024!

Sep 2023
Our benchmark paper OpenGSL has been accepted by NeurIPS 2023!

Sep 2023
Our paper on OKD for GNN has been accepted by Journal of ESWA!

Sep 2023
One paper on Graph Anomaly Detection has been accepted by ICDM 2023!

August 2023
Four paper on Graph Clustering, Life Service Recommendation, Click-Through Rate Prediction, Debiased Recommendation have been accepted by CIKM 2023!

Jan 2023
Our paper on adaptive temperature has been accepted by WWW 2023!

Sheng Zhou 

Associate professor

Eagle Lab
School of Software Technology
Zhejiang University

Zheda Road, Hangzhou, China

Email: zhousheng_zju AT zju.edu.cn

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.

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We currently have several openings for PhD students (2025 Fall), master students (2025 Fall) and post-doctoral positions (Anytime) on Multi-Modal Learning and Data Mining. Currently, we are highly interested in Visual Understanding with MLLM. Please send me email if you are intersted in the positions.

Recent Research

Selected Publications (Full List)



pdf 		Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou*, Carl Yang, Jiapei Fan, Longtao Huang, Jiajun Bu
KDD 2025

Code

pdf 		Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
Zhe Wang, Sheng Zhou*, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang,
WSDM 2025

Code
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang,
WSDM 2025

pdf 		Heterophilous Distribution Propagation for Graph Neural Networks
Zhuonan Zheng, Sheng Zhou*, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bua
Neural Networks

pdf 		NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
Zhonghao Wang, Danyu Sun, Sheng Zhou*, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
NeurIPS 2024

Code

pdf 		Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
NeurIPS 2024

Code

pdf 		GC-Bench: An Open and Unified Benchmark for Graph Condensation
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
NeurIPS 2024

Code

pdf 		PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
NeurIPS 2024

Code

pdf 		ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation
Siyi Lin, Sheng Zhou, Jiawei Chen, Yan Feng, Qihao Shi, Chun Chen, Ying Li, Can Wang
TOIS

pdf 		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
ACM Computing Surveys

Code

pdf 		A Survey on Graph Condensation
Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou*, Zhuonan Zheng, Bu Jiajun
PrePrint

Code

pdf 		SIGformer: Sign-aware Graph Transformer for Recommendation
Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang
SIGIR 2024

Code

pdf 		Structure enhanced prototypical alignment for unsupervised cross-domain node classification
Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou*, Jiajun Bu
Neural Networks

pdf 		MMAD:Multi-modal Movie Audio Description
Xiaojun Ye, Junhao Chen, Xiang Li, Haidong Xin, Chao Li, Sheng Zhou*, Jiajun Bu
COLING 2024

Code

pdf 		Making Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies
Ming Shen, Gang Huang, Yuxuan Wu, Shuyi Song, Sheng Zhou, Liangcheng Li, Zhi Yu, Wei Wang, Jiajun Bu
W4A 2024 (Best Communication Paper Candidate)

pdf 		Distributionally Robust Graph-based Recommendation System
Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang
WWW 2024

Code

pdf 		Online Billion-Scale Recommender Systems with Macro Graph Neural Networks
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
WWW 2024

Code

pdf 		Rethinking Propagation for Unsupervised Graph Domain Adaptation
Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou*, Xin Wang, Jiajun Bu
AAAI 2024

Code

pdf 		CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
Yuanchen Bei, Hao Xu, Sheng Zhou*, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
ICDE 2024

Code

pdf 		OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Zhiyao Zhou, Sheng Zhou*, Bochao Mao, Xuanyi Zhou, Jiawei Chen Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
NeurIPS 2023

Code

pdf 		Online Adversarial Knwoledge Distillation for Graph Neural Networks
Can Wang, Zhe Wang, Defang Chen, Sheng Zhou*, Yan Feng, Chun Chen
ESWA 2023

Code

pdf 		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

Code

pdf 		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

Code

pdf 		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

Code

pdf 		DPGN: Denoising Periodic Graph Network for Life Service Recommendation
Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang
CIKM 2023

Code

pdf 		CDR: Conservative Doubly Robust Learning for Debiased Recommendation
Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang
CIKM 2023

Code

pdf 		Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation
Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He
WWW 2023

Code

pdf 		Unbiased Knowledge Distillation for Recommendation
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
WSDM 2023

Code

pdf 		Hilbert Distillation for Cross-Dimensionality Networks
Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu
NeurIPS 2022

Code

pdf 		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

Code

pdf 		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   

Code

pdf 		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   

Code

pdf 		Distilling Holistic Knowledge with Graph Neural Networks
Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
ICCV 2021   

Code

pdf		 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
TOIS   

Code

pdf 		SamWalker++: Recommendation with Informative Sampling Strategy
Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
TKDE   

Code

pdf		 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
TMI   

Code

pdf 		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   

Code

pdf		 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen
AAAI 2020   

Code

pdf		 Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network
Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang
KBS   

pdf		 HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Can Wang
Arxiv 2019   

Code

pdf		 Samwalker: Social recommendation with informative sampling strategy
Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
WWW 2019   

Code

pdf		 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  

Code

pdf		 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   

Code

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 ICLR (2023,2024)
Program Committee Member of WWW (2023,2024)
Program Committee Member of CVPR (2022,2023,2024)
Program Committee Member of AAAI (2021,2022,2023,2024)
Program Committee Member of NeurIPS (2023,2024)
Program Committee Member of KDD (2022,2023,2024)
Program Committee Member of ICCV (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 (2022,2023,2024)
Program Committee Member of SDM (2023)
Program Committee Member of ECAI (2024)

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] [2024]
An Introduction to Graph Neural Network（图神经网络导论）
[2021] [2022] [2023] [2024]

Last update: Jan, 2024. Webpage template borrows from Xiangnan He.