Professor | 周晟 | 数字化转型顾问

Name	周晟
Contact Information	zhousheng_zju@zju.edu.cn
Language ability	中文, 英语
Province	浙江

Name

周晟

Contact Information

zhousheng_zju@zju.edu.cn

Language ability

中文, 英语

Province

浙江

University/Lab Affiliation and Title	浙江大学
Faculty	Software Technology
Awards	ICDM杯冠军 CIKM杯冠军 KDD杯季军 WSDM杯季军

University/Lab Affiliation and Title

浙江大学

Faculty

Software Technology

Awards

ICDM杯冠军
CIKM杯冠军
KDD杯季军
WSDM杯季军

Areas of Focus	图数据挖掘人工智能图神经网络深度聚类异常检测
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

图数据挖掘
人工智能
图神经网络
深度聚类
异常检测

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

图数据挖掘人工智能神经网络深度聚类异常检测

胡星 - 浙江大学

Area of Focus
人工智能 | 软件工程 | 安全 | 挖掘 | 分析 | 自动化 | 软件 | 开发 | 智能 | 仓库 | 供应链 | 漏洞 | 风险减少 | 开源 | 代码 | 技术 | 研究 | 项目 | 理解 | 程序 | 工具 | 数据提取 | 模式 | 趋势

张金山 - 浙江大学

Area of Focus
人工智能 | 生成式 | 计算 | 经济学 | 强化 | 学习 | 深度 | 服务 | 技术

张文桥 - 浙江大学

Area of Focus
多模态 | 智能 | 机器学习 | 应用 | 鲁棒 | 学习 | 人工智能 | 技术 | 数据 | 系统

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