Professor | Sheng Zhou | Asia Growth Partners

Name	Sheng Zhou
Contact Information	zhousheng_zju@zju.edu.cn
Language ability	Chinese, English
Province	Zhejiang

Name

Sheng Zhou

Contact Information

zhousheng_zju@zju.edu.cn

Language ability

Chinese, English

Province

Zhejiang

University/Lab Affiliation and Title	Zhejiang University
Faculty	Software Technology
Awards	ICDM Cup Champion CIKM Cup Champion KDD Cup Third Place WSDM Cup Third Place

University/Lab Affiliation and Title

Zhejiang University

Faculty

Software Technology

Awards

ICDM Cup Champion
CIKM Cup Champion
KDD Cup Third Place
WSDM Cup Third Place

Areas of Focus	Graph Data Mining Artificial Intelligence Graph Neural Networks Deep Clustering Anomaly Detection
Publications	Distilling Holistic Knowledge with Graph Neural Networks, Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu, 2021 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, 2021 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, 2020 Prre: Personalized relation ranking embedding for attributed networks, Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang, 2018 Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network, Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding, Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Can Wang, 2019 An improved non-negative matrix factorization algorithm based on genetic algorithm, Sheng Zhou, Zhi Yu, Can Wang, 2014 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, Yuan He, 2022 Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding, Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen, 2022 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, 2021 CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation, Jiawei Chen, Chenquan Jiang, Can Wang, Sheng Zhou, Yen Feng, Chun Chen, Martin Ester, Xiangnan He SamWalker++: Recommendation with Informative Sampling Strategy, Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen 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, 2020 Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback, Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen, 2020 Samwalker: Social recommendation with informative sampling strategy, Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, 2019 Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation, Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang, 2018 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, 2018

Areas of Focus

Graph Data Mining
Artificial Intelligence
Graph Neural Networks
Deep Clustering
Anomaly Detection

Publications

Distilling Holistic Knowledge with Graph Neural Networks, Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu, 2021
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, 2021
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, 2020
Prre: Personalized relation ranking embedding for attributed networks, Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang, 2018
Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network, Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding, Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Can Wang, 2019
An improved non-negative matrix factorization algorithm based on genetic algorithm, Sheng Zhou, Zhi Yu, Can Wang, 2014
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, Yuan He, 2022
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding, Can Wang, Sheng Zhou*, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen, 2022
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, 2021
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation, Jiawei Chen, Chenquan Jiang, Can Wang, Sheng Zhou, Yen Feng, Chun Chen, Martin Ester, Xiangnan He
SamWalker++: Recommendation with Informative Sampling Strategy, Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen
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, 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback, Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen, 2020
Samwalker: Social recommendation with informative sampling strategy, Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, 2019
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation, Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang, 2018
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, 2018

Graph Data Mining Ai Neural Networks Deep Clustering Anomaly Detection

Xing Hu - Zhejiang University

Jinshan Zhang - Zhejiang University

Wenqiao Zhang - Zhejiang University

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