Recent Activity

• I am looking for self-motivated PhD students (fully funded). If you are interested, please email me.
• Recent Work for Few-Shot Learning on Graphs
  GFL (AAAI'20): Node Classification
  FSRL (AAAI'20): Relation Prediction
  FIRE (EMNLP'20 Findings): Multi-hop Relation Reasoning
  Meta-MGNN (WWW'21): Graph Classification
  Meta-AHIN (IJCAI'21): Anomaly Detection
• KDD'21 Tutorial: Data Efficient Learning on Graphs
• Brandeis Provost Research Award (PI, 2021-2022)
• Associate Editor: Big Data; SPC: AAAI'21, IJCAI'21
• Call for Papers: Frontiers in Big Data - Computational Behavioural Modeling for Big User Data

Research Interest

• Machine Learning, Deep Learning, Data Mining
• Graph and Network Mining
• Machine Learning for Science and Healthcare (Chemistry/Biology)
• Machine Learning for Cybersecurity
• Recommender Systems and User Behavior Modeling
• Time Series and Spatial-Temporal Data Analysis

Publication

• Full List
• Google Scholar
• DBLP

Teaching

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

Service

• 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, TKDD, TNNLS, TBD, etc.

Award

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