高明




个人资料
部门： 数据科学与工程学院
性别： 男
专业技术职务： 教授
毕业院校： 复旦大学
学位： 博士
学历： 博士
联系电话： +86-
电子邮箱： mgao@dase.ecnu.edu.cn
办公地址： 华东师范大学数学馆
通讯地址： 上海市普陀区中山北路3663号华东师范大学数学馆115室, 200062
邮编：
传真：


工作经历
2019/01—至今华东师范大学数据科学与工程学院教授
2014/07—2018.12华东师范大学数据科学与工程学院副教授
2011/08—2014/06新加坡管理大学博士后研究员
2010/08—2011/02新加坡国立大学研究助理




教育经历
2008/09—2011/07复旦大学计算机科学技术学院软件与理论专业博士研究生
2004/09—2007/07安徽师范大学数学计算机科学学院应用多元统计分析专业硕士研究生






个人简介
高明，男，1980年2月生，安徽宣城人，教授，博士生导师；复旦大学博士、新加坡管理大学博士后；主持了国家重点研发计划、国家自然科学基金委广东省联合重点项目、面上项目和青年项目等9项课题，获得国家科技进步二等奖、《计算机学报》2014-2019年优秀论文奖、CCF-腾讯犀牛鸟科研基金优秀奖；在机器学习、知识工程和数据挖掘等领域有较深入的研究，先后在计算机顶级和知名会议或期刊上发表学术论文超过六十篇，其中在SIGIR、ICDE、TKDE等CCF-A类国际会议和期刊上发表论文8篇，在ICDM、DASFAA、DMKD和KAIS等CCF-B类国际会议和期刊上发表论文5篇，在《计算机学报》和《软件学报》等中文CCF-A类期刊上发表论文4篇；先后出版学术专著《Discovery and Fusion of Uncertain Knowledge in Data》（World Scientific Group Company，2017）和《Network Data Mining and Analysis》（World Scientific Group Company，2018）；参与翻译《海量数据分析前沿》（清华大学出版社，2014）。



社会兼职
国际会议论文审稿

DASFAA 2009, VLDB 2009, ICDE 2010, ICDE 2011, ICDE 2012, SDM 2012, ICDM 2013, ICDE 2013, SDM 2013, ICDM 2014, SDM 2014, ICDM 2015, SDM 2015


国际期刊论文审稿

IEEE Transactionson Knowledge and Data Engineering （TKDE）
ACM Transactions on Management Information Systems (TMIS)
Journal of Systems and Software (JSS)
Social Network Analysis and Mining Journal (SNAM)
Computer Journal
Frontiers of Computer Science (FCS)



研究方向
计算教育学；知识工程；数据挖掘；用户画像



开授课程
************************************** 2020 *************************************

1. Discrete Mathematics and Its Applications, Spring 2020
Undergraduate level course at School of Data Science and Engineering, East China Normal University

2. Statistical Inference, Spring 2020
Graduate level course at School of Data Science and Engineering, East China Normal University

3. Algorithm Foundations of Data Science, Spring 2020
Graduate level course at School of Data Science and Engineering, East China Normal University

************************************** 2019 *************************************

1. Discrete Mathematics and Its Applications, Fall 2019
Undergraduate level course at School of Data Science and Engineering, East China Normal University

2. Statistical Inference, Spring 2019
Graduate level course at School of Data Science and Engineering, East China Normal University

3. Algorithm Foundations of Data Science, Spring 2019
Graduate level course at School of Data Science and Engineering, East China Normal University

************************************** 2018 *************************************

1. Mathematical Statistics and Data Analysis, Fall 2018
Undergraduate level course at School of Data Science and Engineering, East China Normal University

2. Discrete Mathematics and Its Applications, Fall 2018
Undergraduate level course at School of Data Science and Engineering, East China Normal University

3. Statistical Inference, Spring 2018
Graduate level course at School of Data Science and Engineering, East China Normal University

4. Algorithm Foundations of Data Science, Spring 2018
Graduate level course at School of Data Science and Engineering, East China Normal University

************************************** 2017 *************************************

1. Discrete Mathematics and Its Applications, Fall 2017
Undergraduate level course at School of Data Science and Engineering, East China Normal University

************************************** 2016 *************************************

1. Foundation of Data Science, Fall 2016
Graduate level course at Software Engineering Institute & School of Data Science and Engineering, East China Normal University

2. Operating System Concepts, Fall 2016
Undergraduate level course at Software Engineering Institute, East China Normal University

************************************** 2015 *************************************

1. Operating System Concepts, Fall 2015
Undergraduate level course at Software Engineering Institute, East China Normal University

2. Operating System Concepts, Spring 2015
Undergraduate level course at Software Engineering Institute, East China Normal University

************************************** 2014 *************************************

1. Implementation of Database Systems, Fall 2014
Graduate level course at Software Engineering Institute, East China Normal University

**************************************End **************************************




科研项目
[P1]国家自然科学基金面上项目：面向个性化课辅的学生学习行为画像及其应用研究，2019.1.1 - 2022.12.31 （主持）
[P2]科技部重点研发计划子课题项目：知识导航中的交互机理，2016.6.30 - 2020.12.31 （主持）
[P3]国家自然科学基金重点子课题项目：基于超云平台的社会化移动网络大数据管理与分析关键技术研究，2015.1.1 - 2018.12.31 （主持）
[P4]国家自然科学基金青年项目：基于多个异构社交网络数据分析的用户建模及其应用，2015.1.1 - 2017.12.31 （主持）
[P5]CCF-腾讯犀牛鸟项目：基于跨领域的用户画像和推荐系统研究，2015.10.1 - 2016.12.31 （主持）
[P6]CCF-腾讯犀牛鸟项目：基于用户行为的点击率预测研究，2016.12.1 - 2017.7.31 （主持）
[P7]上海市农委项目：农业信息服务平台及农业大数据综合利用研究，2017.7.3 - 2020.6.30 （主持）
[P8]教育部学位中心项目：研究生导师画像研究，2018.6.15 - 2018.12.31 （主持）



学术成果
发表的部分期刊论文:
[J18] Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang, Aoying Zhou. Learning Vertex Representations for Bipartite Networks. TKDE 2020 (CCF-A)
[J17]Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou. EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. CoRR abs/2007.02517 (2020)
[J16] Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou. Improving Neural Relation Extraction with Implicit Mutual Relations. CoRR abs/1907.05333 (2019)
[J15] Chao Kong, Ming Gao, Chen Xu, Yunbin Fu, Weining Qian, Aoying Zhou. EnAli: Entity Alignment across Multiple Heterogeneous Data Sources. FCS 2019. (SCI)
[J14] Jihong Yan, Chen Xu, Na Li, Ming Gao, Aoying Zhou. Optimizing model parameter for entity summarization across knowledge graphs. J. Comb. Optim. 37(1): 293-318 (2019) . (SCI)
[J13] Ming Gao, Xiangnan He, Leihui Chen, Tingting Liu, Jinglin Zhang, Aoying Zhou. Learning Vertex Representations for Bipartite Networks. CoRR abs/1901.09676 (2019)
[J12] Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou. A Retrospective of Knowledge Graphs. Frontiers of Computer Science 2018. (SCI)
[J11] Xiangnan He, Ming Gao, Min-Yen Kan and Dingxian Wang. BiRank: Towards Ranking on Bipartite Graphs. TKDE 2017, 29(1): 57-71. (CCF-A)
[J10] Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang. BiRank: Towards Ranking on Bipartite Graphs. CoRR abs/1708.04396 (2017)
[J9] Rong Zhang, Ming Gao, Xiaofeng He, Aoying Zhou. Learning User Credibility for Product Ranking. Knowledge of Information System 2016, 46(3): 679-705. (CCF-B)
[J8] Xindong Wu, Huanhuan Chen, Gongqing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou, Zhongqiu Zhao, Bifan Wei, Ming Gao, Yang Li, Qiping Zhang, Shichao Zhang, Nanning Zheng. Knowledge Engineering with Big Data. IEEE Intelligent Systems 2015, 30(5): 46-55. (SCI)
[J7] Jihong Yan, Wenliang Cheng, Chenyu Wang, Jun Liu, Ming Gao, Aoying Zhou. Optimizing Word Set Coverage for Multi-event Summarization. Journal of Combinatorial Optimization 2015. (SCI)
[J6] Ming Gao, Ee-Peng Lim, David Lo, and Philips Kokoh Prasetyo. On Detecting Maximal Quasi Antagonistic Communities in Signed Graphs. DMKD 2015. (CCF-B)
[J5] Ming Gao, Cheqing Jin, Weining Qian, and Xueqing Gong. Real-time and Personalized Search over a Microblogging System, The Computer Journal 2013. (SCI)
[J4] 高明, 金澈清, 钱卫宁, 王晓玲, 周傲英. 面向微博系统的个性化实时推荐, 计算机学报, 2014. (中文CCF-A，获得2014-2019年优秀论文奖)
[J3] 高明, 金澈清, 王晓玲, 周傲英. 数据世系管理技术研究综述, 计算机学报, 2010,33(3): 373-389. (中文CCF-A)
[J2] 田秀霞, 王晓玲, 高明, 周傲英. 数据库服务-安全与隐私保护, 软件学报, 2010, 21(5). (中文CCF-A)
[J1] 许晓峰, 金澈清, 高明, 周傲英. 面向大型数据集合的关键分类查找算法, 计算机研究与发展, 2009, 46(10): 470-476. (中文CCF-A)

发表的部分会议论文:
[C27] Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Ming Gao, Aoying Zhou. On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. ICDE 2021 (CCF-A)
[C26] Lisi Ai, Baoli Gao, Jianbing Zheng, Ming Gao. On Improving Text Generation Via Integrating Text Coherence. CCIS 2019: 6-10
[C25] Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou. Improving Neural Relation Extraction with Implicit Mutual Relations. ICDE 2020: 1021-1032 (CCF-A)
[C24] Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, and Aoying Zhou. AgriKG: An Agricultural Knowledge Graph and Its Applications. DASFAA 2019. (CCF-B)
[C22] Ming Gao, Leihui Chen, Xiangnan He, and Aoying Zhou. BiNE: Bipartite Graph Embedding. SIGIR 2018. (CCF-A)
[C21] Jianbing Zheng, Yanbin Li, Yanji Hou, Ming Gao, and Aoying Zhou. BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness. ICBK 2017.
[C20] Leihui Chen, Jianbing Zhen, Ming Gao, Aoying Zhou, Wei Zeng and Hui Chen. TLRec: Transfer Learning for cross-domain Recommendation. ICBK 2017.
[C19] Lisi Ai, Na Li, and Ming Gao. Automatic Text Generation via Text Extraction Based on Submodular. APWeb 2017. (CCF-C)
[C18] Jihong Yan, Yanhua Wang, Ming Gao, Aoying Zhou. Context-aware Entity Summarization. WAIM 2016. 517-529. (CCF-C)
[C17] Chao Kong, Ming Gao, Weining Qian, Aoying Zhou. Entity Matching Across Multiple Heterogeneous Data Sources. DASFAA 2016. (CCF-B)
[C16] Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou, CNL: Collective Network Linkage across Heterogeneous Social Network. ICDM 2015. (CCF-B)
[C15] Chao Kong, Ming Gao, Weining Qian, Minqi Zhou, Xueqing Gong, Rong Zhang, Aoying Zhou, ACID Encountering the CAP Theorem-Two Bank Case Studies. WISA 2015.
[C14] Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao, User Generated Content Oriented Chinese Taxonomy Construction. APWeb 2015. (CCF-C)
[C13] Rong Zhang, Yifan Gao, Wenzhe Yu, Pingfu Cao, Xiao Yang, Ming Gao, Aoying Zhou, Review Comment Analysis for Predicting Rating. WAIM 2015. (CCF-C)
[C12] Lei Wang, Ming Gao, Rong Zhang, Cheqing Jin, Aoying Zhou, Computing Probability Threshold Set Similarity on Probabilistic Sets. WAIM 2015. (CCF-C)
[C11] Qiuge Song, Cheqing Jin, Xiaoling Wang, Ming Gao, and Aoying Zhou, Discovering Underpasses from Walking Trajectories. DAMASCA 2015.
[C10] Chengyu Wang, Ming Gao, Xiaofeng He, and Rong Zhang, Challenges in Chinese Knowledge Graph Construction. DESWeb 2015.
[C9] Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, and Kazunari Sugiyama, Predicting the Popularity of Web 2.0 Items Based on User Comments. SIGIR 2014. (CCF-A)
[C8] Philips Kokoh Prasetyo, Ming Gao, Ee-Peng Lim, and Christie Napa Scollon, Social Sensing for Urban Crisis Management: The Case of Singapore Haze. The 5th International Conference on Social Informatics (SocInfo 2013), November 25-27, 2013.
[C7] Ming Gao, Ee-Peng Lim, and David Lo, R-energy for Evaluating Robustness of Dynamic Networks. ACM Conference on Web Science, May 2-4, 2013.
[C6] Ming Gao, Cheqing Jin, Wei Wang, Xuemin Lin, and Aoying Zhou, Similarity Query Processing for Probabilistic Sets. ICDE 2013. (CCF-A)
[C5] Ming Gao, Cheqing Jin, Weining Qian, and Xueqing Gong, Real-time Search over a Microblogging System. CGC 2012: 352-359. (优秀论文奖)
[C4] Cheqing Jin, Ming Gao, and Aoying Zhou, Handling ER-topk Query on Uncertain Streams. DASFAA 2011: 326-340. (CCF-B)
[C3] Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang, and Aoying Zhou, Recording How- Provenance on Probabilistic Databases, APWEB 2010. (CCF-C)
[C2] Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, and Aoying Zhou, GRAMS3: An Efficient Framework for XML Structural Similarity Search. UDM 2010.
[C1] Chen Zhang, Ming Gao, and Aoying Zhou, Tracking High Quality Clusters over Uncertain Data Streams. ICDE 2009: 1641-1648. (CCF-A)


出版学术专著和译著:
[B3] Ming Gao, Ee-Peng Lim, David Lo, Network Data Mining and Analysis, World Scientific 2018.
[B2] Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao, Ming Gao, Discovery and Fusion of Uncertain Knowledge in Data, World Scientific 2017.
[B1] 华东师范大学数据科学与工程研究院（译）. 海量数据分析前沿. 清华大学出版社，2015.




荣誉及奖励
2019国家科技进步二等奖（排名10）
《计算机学报》2014-2019年优秀论文奖
2018 中国数据库年会NDBC 2018最佳系统演示提名奖
2015 CCF-腾讯犀牛鸟基金优秀奖
2012 国际会议CGC 2012最佳论文奖