Assistant Professor
Information & Operations Management (IOM)
ESCP Business School

Phone: +33(0)1 49 23 26 36
E-mail: hzhong [at] escp [dot] eu
Address: 79 av. de la République, 75011 Paris, France

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Research Interests

Data Mining, Applied Machine Learning, Venture Data Analytics, FinTech, Recommender Systems, Social Network Analysis, Graph Neural Networks

Education

• Ph.D. in Management (Information Technology)
  Management Science and Information Systems, School of Business
  Rutgers University, New Jersey, USA

• M.Sc. in Computer Science,
  Department of Computer Science and Engineering
  York University, Toronto, Canada

• B.Sc. in Electronic Information Science & Technology,
  Department of Electronic Science and Technology
  University of Science and Technology of China (USTC), Anhui, China

Publications

• [J.03] “Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks", with Tong Xu, Hengshu Zhu, Hui Xiong and Enhong Chen, IEEE Transactions on Mobile Computing (TMC), 2019
  

• [J.02] “Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation", with Tong Xu, Hengshu Zhu, Guannan Liu, Hui Xiong and Enhong Chen, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
  

• [J.01] “Which Startup to Invest in: A Personalized Portfolio Strategy", with Chuanren Liu, Junwei Zhong and Hui Xiong, Annals of Operations Research (AOR), 2016
  

• [C.08] "Firm Profiling and Competitiveness Assessment: A Heterogeneous Occupation Network based Approach", with Chuanren Liu, Workshop on Information Technology and Systems (WITS), 2021
  

• [C.07] "Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups", with Shengming Zhang, Zixuan Yuan and Hui Xiong, In Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2021
  

• [C.06] “TO BE OR NOT TO BE FRIENDS: Exploiting Prominent Social Ties for Startup Investment", with Chuanren Liu, Xinjiang Lu and Hui Xiong, In Proceedings of IEEE Conference on Data Mining (ICDM), 2016
  

• [C.05] “Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective", with Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Enhong Chen, Hui Xiong, In Proceedings of ACM International Conference on Knowledge Discovery and Data Mining (KDD), 2016
  

• [C.04] “Online Activities Categorization of Mobile Users", with Jin Cao, Buvana Ramanan and Pete Schott, In Proceedings of IEEE International Workshop on Big Data Sciences, Tech. and App. (BDSTA), 2016
  

• [C.03] “Station Site Optimization in Biking Sharing Systems", with Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Yanjie Fu, In Proceedings of the 2015 IEEE Conference on Data Mining (ICDM), 2015
  

• [C.02] “Exploring the Impact of Dynamic Mutual Influence on Social Event Participation", with Tong Xu, Hengshu Zhu, Hui Xiong, Enhong Chen and Guannan Liu, In Proceedings of the 2015 SIAM International Conference on Data Mining (SDM), 2015
  

• [C.01] “Egomotion Estimation using Binocular Spatiotemporal Oriented Energy", with Richard P. Wildes, In Proceedings of the 2013 British Machine Vision Conference (BMVC), 2013
  

Teaching

• ESCP Business School, Paris, France

  • Applied Data Science Research Project (RX19), Master-level, Spring2022
  • R & Business Analytics (MBD09), Master-level, Fall2020, Fall2021
  • Microsoft Data Tools Basics (MBD02), Master-level, Fall2020, Fall2021
  • Introduction of Data Analytics Coding (Tutorial), Master-level, Fall2021

• International Business School (ZIBS), Zhejiang University, Zhejiang, China

  • Business Statistical Analysis (7121013), iMBA-level, Spring2020

• Rutgers Business School (RBS), Rutgers University, New Jersey, USA

  • Management Information Systems (29:623:220:07), Undergraduate-level, Fall2016

Editorial Services

• Guest Editor, Data-Driven Investment Strategies Topic, Frontiers in Artificial Intelligence Journal, 2020

Program Committee

• Co-chair of Artificial Intelligence (AI) Cluster, INFORMS Annual Meeting, 2021, 2022

• PC Member, ACM International Conference on Web Search and DataMining (WSDM), 2022

• PC Member, AAAI Conference on Artificial Intelligence (AAAI), 2021, 2022

• PC Member, International Joint Conferences on Artificial Intelligence (IJCAI), 2021, 2022

• PC Member, ACM International Conference on Information and KnowledgeManagement (CIKM), 2021, 2022

• PC Member, International Conference on Knowledge Science, Engineering and Management (KSEM), 2017

Invited & External Reviewer

• Management Information Systems Quarterly (MISQ)

• Electronic Commerce Research and Applications (ECRA)

• International Journal of Data Science and Analytics (JDSA)

• Applied Economics (APE)

• International Conference on Information Systems (ICIS)

• AAAI Conference on Artificial Intelligence (AAAI)

• International Joint Conferences on Artificial Intelligence (IJCAI)

• ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

• International World Wide Web Conference (WWW)

• IEEE International Conference on Data Mining (ICDM)

• SIAM International Conference on Data Mining (SDM)

• IEEE International Conference on Data Science and Advanced Analytics (DSAA)