Dr. Hao (Howard) ZHONG is currently a tenure-track assistant professor in the Information and Operations Management department of ESCP Business School (Paris). He received his Ph.D. in Management (Information Technology) from the Business School of Rutgers University. His research interests include data mining, computational design science, venture data analyitics, and representation learning. His work has appeared in multiple top venues of data mining, information systems and operations research, including refereed journals (AOR, TKDE, TMC) and peer-reviewed conference proceedings (ICIS, CIST, HICSS, WITS, INFORMS WDS, KDD, ICDM, SDM). He has served as Senior Program Committee member at AAAI and Program Committee member at IJCAI, WWW, CIKM, KSEM, etc. He is currently a fellow of Center for Design Science in Entrepreneurship (DS:E). He also served as co-chair of AI cluster at INFORMS Annual Meeting in 2021 and 2022. He has received the Best Paper Runner-Up award at WITS 2022. Prior to joining ESCP, he enjoyed a three-year entrepreneurial experience, as a co-founder and Chief Data Scientist of a FinTech startup in China, which leverages the power of Big Data and AI to provide risk management products and services for top financial clients.

Search the faculty

Display:
14 publications

Conference Proceedings

2023

ZHONG, H., C. LIU

Firm Profiling and Competition Assessment: A Heterogeneous Occupation Network–based Approach

Hawaii International Conference on System Sciences (HICSS)

Conference Proceedings

2022

ZHONG, H., C. LIU

Firm Profiling and Competition Assessment via Heterogeneous Occupation Network

International Conference on Information Systems (ICIS)

Conference Proceedings

2022

ZHONG, H., C. LIU

Career Path Clustering via Sequential Job Embedding and Mixture Markov Models

International Conference on Information Systems (ICIS)

Conference Proceedings

2022

ZHANG, D., H. ZHONG, J. YANG

Acqui-hiring or Acqui-quitting: Data-Driven Post-M&A Turnover Prediction via a Dual-fit Model

Conference on Information Systems and Technology (CIST)

ESCP Impact Papers

2022

ZHONG, H

AI as a new geopolitical battleground: What are we competing for?

ESCP Impact Papers, 2022-08-EN

icon-brochure

Conference Proceedings

2021

ZHONG, H., S. ZHANG, Z. YUAN, H. XIONG

Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups

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

Academic Articles

2020

XU, T., H. ZHU, H. XIONG, H. , H. ZHONG, E. CHEN

Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks

IEEE TRANSACTIONS ON MOBILE COMPUTING, 19 (8), 1804 - 1817

Academic Articles

2019

XU, T., H. ZHU, H. , H. ZHONG, G. LIU, H. XIONG, E. CHEN

Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 31 (6), 1122 - 1135

Academic Articles

2018

ZHONG, H., H., C. LIU, J. ZHONG, H. XIONG

Which startup to invest in: a personalized portfolio strategy

ANNALS OF OPERATIONS RESEARCH, 263, 339-360

Conference Proceedings

2016

ZHONG, H., H., C. LIU, X. LU, H. XIONG

To be or Not to be Friends Exploiting Social Ties for Venture Investments

IEEE International Conference on Data Mining (ICDM)