Research Interests

• Machine Learning and Deep Learning
  • Multi-Instance Learning
  • Multi-Task Learning & Transfer Learning
  • Graph Neural Networks
  • Interpretable Models
• Text Mining and Knowledge Discovery
  • Information Reciprocity
  • Multi-Source Data Mining

Research Applications

• Social Science and Healthcare
  • Event Precursor Learning
  • Event Forecasting
• Personalization
  • Recommender Systems
  • User Behavior Modeling

---

Current Projects

• NSF CRII: Learning Dynamic Graph-based Precursors for Event Modeling
• NSF CAREER: Towards Deep Interpretable Predictions for Multi-Scope Temporal Events

---

Previous Projects

• Societal Event Detection and Forecasting in Large-scale Media
• Content and Interaction Analysis of Online Media
• Personalization and User Modeling

---

Tutorials

• Spatio-Temporal Event Forecasting and Precursor Identification at SIGKDD 2019.
• Explainable AI for Societal Event Predictions: Foundations, Methods, and Applications at AAAI 2021.

---

Sponsors

---