News


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!

July. 2021
Our paper on Social Recommendation has been accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)! The code will be released soon!

July. 2021
Our paper on Knolwedge Distillation based on Graph Neural Networks has been accepted by ICCV 2021! The paper and code has been released!

July. 2021
Our paper on Knolwedge Distillation for Medical Image Segmentation has been accepted by IEEE Transactions on Medical Imaging(TMI)! The code has been released and the paper will be released soon!

July. 2021
Two preprint paper of Domain Adaptation have been released. The code will also be released soon!

May. 2021
Our full paper is accepted by TOIS Journal, on Directed Network Embedding and Recommendation! The code has been released and the paper will be released soon!

April. 2021
Our full paper is accepted by TOIS Journal, on CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation! The code has been released and the paper will be released soon!

Nov. 2020
Two preprint paper of Social Recommendation named CoSam and SamWalker++ have been released.

Aug. 2020
Our full paper is accepted by CIKM 2020, on Meta Learning on Graphs! Paper and Code will be released soon.

Nov. 2019
Two full papers are accepted by AAAI 2020, on Graph embedding and Unbiased recommendation.

Sheng Zhou 

Assistant Professor

Eagle Lab
School of Software Technology
Zhejiang University

Zheda Road, Hangzhou, China

Email: zhousheng_zju AT zju.edu.cn

I am an assistant professor at School of Software Technology, Zhejiang University(ZJU). My research interest in graph neural networks, network data mining and machine learning.

Selected Publications (* Corresponding)



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
Arxiv 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
The Web Conference (WWW) 2022   

Code

pdf
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

pdf
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

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
IEEE Transactions on Medical Imaging(TMI)   

Code

pdf
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan
Arxiv 2021   

pdf
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou
Arxiv 2021   

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
ACM Transactions on Information System (TOIS)   

Code

pdf
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
Jiawei Chen, Chenquan Jiang, Can Wang, Sheng Zhou, Yen Feng, Chun Chen, Martin Ester, Xiangnan He
ACM Transactions on Information System (TOIS)   

Code

pdf
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan
CIKM 2020 (Full, Oral)   

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 (Full, Poster)   

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 (Full, Oral)   

Code

pdf
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

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

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 (Full, Oral)   

Code

pdf
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation
Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang
CIKM 2018 (Full, Oral)   

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 (Full, Oral)   

Code

pdf
An improved non-negative matrix factorization algorithm based on genetic algorithm
Sheng Zhou, Zhi Yu, Can Wang
ICCSET 2014   

Professional Services

PC Member of Conferences:
Program Committee Member of ECCV (2022)
Program Committee Member of KDD (2022)
Program Committee Member of CVPR (2022)
Program Committee Member of WSDM (2022)
Program Committee Member of AAAI (2021,2022)
Program Committee Member of ECMLPKDD (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 Neural Networks and Learning Systems (TNNLS)
Invited Reviewer for ACM Transactions on Knowledge Discovery from Data (TKDD)
Invited Reviewer for Neurocomputing

Awards

WSDM Cup 2022
Cross-Market Recommendation Challenge, 3rd Place, $500
[Solution][Code]

Projects

Courses

Data Mining and Application(数据挖掘与应用)
An Introduction to Graph Neural Network(图神经网络导论)

Last update: June, 2022. Webpage template borrows from Xiangnan He.