CV

Education

• Ph.D in Computer Science, University of Cambridge, 2019
  Supervisor: Prof. Cecilia Mascolo
• M.Phil. in Land Economy Research, University of Cambridge, 2015
• B.Eng. in Urban Planning, Harbin Institute of Technology, 2014

Work Experience

• 2021.3-Present: Associate Professor
  • Gaoling School of Artificial Intelligence
  • Renmin University of China
• 2021.11-2022.4: MSRA StarTrack Visiting Scholar
  • Social Computing Group
  • Microsoft Research Asia
  • Mentor: Dr. Xing Xie
• 2020.2-2021.2: Postdoctoral Fellow
  • MIT Senseable City Lab
  • Massachusetts Institute of Technology
  • Supervisor: Prof. Carlo Ratti
• 2018.6-2018.9: MSRA Internship
  • Social Computing Group
  • Microsoft Research Asia
  • Mentor: Dr. Xing Xie
• 2017.7-2017.10: Tencent Internship
  • WeChat Business Group
  • Tencent Inc.

Research Funding

• Kuaishou Technology Co., Ltd., PI
  • Project: Exploration and Application of Large Models for Search Behavior
• Tencent Holdings Limited, PI
  • Project: Research on Hallucination and Editing Algorithms for Industry Foundation Models
• OPPO Guangdong Mobile Communication Co., Ltd., PI
  • Project: Intelligent Health Management Assistant and Question-Answering System based on Large-scale Models
• National Natural Science Foundation of China (NSFC Grant No. 62106274), PI
  • Project: Early Detection and Prediction of Alzheimer’s Disease Based on Multimodal Learning
• National Natural Science Foundation of China (NSFC Grant No. U2241212), Participant
  • Project: Research on Distributed Native Graph Storage and Computing Method for Graph Learning
• National Fundamental Research Funds for the Central Universities, Research Funds of Renmin University of China (Grant No. 22XNKJ24), PI
  • Project: Smart Health Research in Cities Based on Multimodal Perception and Fusion Technology
• China Unicom, PI
  • Project: Online Video Game Recommender Systems
• Massachusetts Institute of Technology Research Funding, PI
  • Project: The Effect of Policies and Human Mobility on the COVID-19 Epidemic
• Massachusetts Institute of Technology Research Funding, Participant
  • Project: The Changes in Physical Place & Digital Communication during the COVID Period

Publications

Detecting Socio-Economic Impact of Cultural Investment Through Geo-Social Network Analysis

Cultural Investment and Urban Socio-Economic Development: A Geosocial Network Approach

Evaluating the Impact of the 2012 Olympic Games Policy on the Regeneration of East London Using Spatio-Temporal Big Data

Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data

Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems

Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation

Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment

M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation

Phase-Wise Evaluation and Optimization of Non-Pharmaceutical Interventions to Contain the COVID-19 Pandemic in the US

Reconstructing Human Activities via Coupling Mobile Phone Data with Location-Based Social Networks

Causally Aware Generative Adversarial Networks for Light Pollution Control

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling

MuseCL: Predicting Urban Socioeconomic Indicators via Multi-Semantic Contrastive Learning

CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Pro­filing and Prediction

MotifGPL: Motif-Enhanced Graph Prototype Learning for Deciphering Urban Social Segregation

FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation

Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems

Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social Recommendation

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?

SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction

AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels

Counterfactual Reasoning for Steerable Pluralistic Value Alignment in Large Language Models

Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens

Teaching

Introduction to Artificial Intelligence

Artificial Intelligence for the Social Sciences (General Education Core Course)

Smart Cities

Services

• Reviewer for Journal: Nature Communications, Transactions on Intelligent Systems and Technology, Pervasive and Mobile Computing, EPJ Data Science
• SPC/PC Member of Conference: TheWebConf, AAAI, IJCAI, KDD, PAKDD
• Executive Member of Ubiquitous Computing Committee at China Computer Federation (CCF)