Recent Activities

• I am looking for self-motivated PhD students (fully funded). If you are interested, please email me.
• Recent Works of Data Efficient Learning on Graphs
  GFL (AAAI'20): Few-Shot Node Classification
  FSRL (AAAI'20): Few-Shot Relation Prediction
  FIRE (EMNLP'20): Few-Shot Multi-hop Relation Reasoning
  Meta-MGNN (WWW'21): Few-Shot Graph Classification
  Meta-AHIN (IJCAI'21): Few-Shot Anomaly Detection
  MVSE (PKDD'21): Self-Supervised HIN Embedding
• KDD'21 Tutorial: Data Efficient Learning on Graphs
• Associate Editor: Big Data; SPC: AAAI'22

Research Interests

• General: Machine Learning, Deep Learning, Data Mining, Natural Language Processing
• Focuses: Graph Mining & Learning, Recommendation Systems, Time Series & Spatiotemporal Learning
• Applications: Social and Knowledge Systems, Healthcare, Cybersecurity

Publications

• Full List
• Google Scholar
• DBLP

Teaching

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

Services

• Journal Editor
  Big Data, Frontiers in Big Data
• Conference PC Member
  NeurIPS, ICML, ICLR, KDD, WWW, ACL, EMNLP, NAACL, AAAI, IJCAI, etc.
• Journal Reviewer
  TKDE, TOIS, TKDD, TNNLS, TBD, etc.

Awards

• Provost Research Award, Brandeis, 2021
• Outstanding Research Assistant Award, Notre Dame, 2020
• Best Paper Award Shortlist, WWW, 2019
• Best Student Paper Award, WAIM, 2016