Recent Activity

• I am looking for self-motivated PhD students (fully funded) and visitors. If you are interested, please feel free to email me.
• Recent Work for Few-Shot Learning on Graphs: FSRL (AAAI20), GFL (AAAI20), FIRE (Findings of EMNLP20)
• KDD 2020 Tutorial: Multi-modal Network Representation Learning
  Keywords: Multi-modal networks, Network representation learning, Deep learning
• Call for Papers: Frontiers in Big Data - Computational Behavioural Modeling for Big User Data
  Keywords: Recommender Systems, Misbehavior Detection, Social Network Analysis, Graph Learning, Deep Learning
• Call for Papers: Frontiers in Big Data - Big Data and Entrepreneurship
  Keywords: Big Data, Entrepreneurship, Innovation, Computational Social Science, Human Behaviors
• KDD 2020 Tutorial: Multi-modal Network Representation Learning; Keywords: Multi-modal networks, Network representation learning, Deep learning

Research Interest

• Data Mining, Machine Learning, Deep Learning
• Graphs/Networks Mining, Knowledge Bases
• Machine Learning for Interdisciplines (e.g., Molecular Analysis)
• Recommendation, Personalization, User Modeling
• Time Series and Spatial-temporal Data Analysis

Publication

• Full List
• Google Scholar
• DBLP

Teaching

• Instructor at Brandeis
  Advanced Topics in Graph Mining
• Guest Lecturer at Notre Dame
  Advanced Topics in Machine Learning

Service

• Journal Editor
  Frontiers in Big Data
• Conference PC Member
  NeurIPS, ICLR, KDD, EMNLP, AAAI, IJCAI, etc.
• Journal Reviewer
  TKDE, TKDD, TNNLS, etc.