- "A Survey of Zero-shot Image Classification: Concepts, Developments and Challenges" (Tsinghua Science and Technology, 2025)
- "Usefulness and Diminishing Returns: Evaluating Social Information in Recommender Systems" (CIKM, 2025)
- "Multimodal Sentiment Analysis with Multi-Perspective Thinking via Large Multimodal Models" (CIKM, 2025)
- "The Evolution of Malicious Social Bot Detection: From Individual Profiling to Group Analysis and Beyond" (IEEE Journal of Social Computing, 2025)
- "意图感知的社交网络用户城外移动行为预测" (Journal of Computer Science, 2024)
- "Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages" (CIKM, 2024)
- "CrossPred: A Cross-City Mobility Prediction Framework for Long-Distance Travelers via POI Feature Matching" (CIKM, 2024)
- "CH-Mits: A Cross-Modal Dataset for User Sentiment Analysis on Chinese Social Media" (CIKM, 2024)
- "跨城市人类移动行为预测研究综述" (Computer Science, 2024)
- "ELEvent: An Abnormal Event Detection System in Elevator Cars" (CSCWD, 2024)
- "Predicting Where You Visit in A Surrounding City: A Mobility Knowledge Transfer Framework based on Cross-City Travelers" (ICDE, 2024)
- Honors: Recognized as one of the World's Top 2% Scientists by Stanford University since 2025
Research Experience
- Tenured Associate Professor at the College of Computer Science and Technology, NUAA (December 2020 - present)
- Former CSC Joint-PhD student at Georg-August-University of Goettingen (2018.11 - 2020.05)
Education
- Degree: Ph.D.
- University: Southeast University
- Supervisor: Professor Jiuxin Cao
- Time: 2014-2020
- Major: Computer Science
- Joint PhD: Georg-August-University of Goettingen, Germany (2018.11 - 2020.05), Supervisor: Professor Xiaoming Fu
- Bachelor's Degree: Northeastern University (2014)
Background
- Research Interests: Smart City, Social Media Data Mining, AI-Driven Applications
- Professional Field: Computer Science
- Brief Introduction: Tenured Associate Professor at the College of Computer Science and Technology, NUAA, and a professional member of ACM/IEEE/CCF/CAAI.
Miscellany
- Looking for self-motivated master and undergraduate students interested in data mining (especially temporal-spatial data mining). Please contact via email.