Zhaoqi Zhang
I obtained my Ph.D degree from the College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Singapore, under the supervision of Prof. Gao Cong and Prof. Siqiang Luo. Prior to joining NTU, I received my Bachelor’s degree in Software Engineering from Dalian University of Technology.
My research interests lie broadly in Spatiotemporal Data Mining, Representation Learning, and Causal Inference. My research aims to develop data-driven and causal learning methods for understanding and modeling complex urban systems. Beyond academic research, I have also worked on advertising allocation optimization problems in industry collaborations.
I am currently seeking postdoctoral opportunities in related research areas.
Education
Ph.D. in Computer Science, Nanyang Technological University, Singapore
Jan. 2022 – Sep. 2026B.S. in Software Engineering, Dalian University of Technology, China
Sep. 2017 – Jun. 2021
Selected Publications
(*=corresponding author)
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026
CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting.
32nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026
HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework.
32nd SIGKDD Conference on Knowledge Discovery and Data Mining Applied Data Science Track (KDD ADS Track), 2026
StructAM: Enhancing Address Matching through Semantic Understanding of Structure-aware Information.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024
Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising.
49th International ACM SIGIR Conference on Research and Development in Information Retrieval Industry Track (SIGIR Industry Track), 2026
See all publications on Google Scholar
Experience
- Research Intern, Meituan, Beijing, China
Apr. 2025 – Oct. 2026
Services
Conference Reviewer
- AAAI 2027, KDD 2027, WSDM 2027
- AAAI 2026, KDD 2026, WWW 2026
- KDD 2025, WWW 2025
Journal Reviewer
- IEEE Transactions on Knowledge and Data Engineering
- IEEE Transactions on Audio, Speech and Language Processing
- Data & Knowledge Engineering
- Data Science and Engineering
Teaching
- SC2005 / CE2005 / CZ2005 Operating Systems — 22 Spring
- CZ3003 Software System Analysis and Design — 22 Spring
- SC2006 / CE2006 / CZ2006 Software Engineering — 22 Fall, 23 Spring
- SC2207 / CZ2007 Introduction to Databases — 25 Spring
