Conference on Uncertainty in Artificial Intelligence · 2024
Cited
1
Resume (English only)
Academic Achievements
- 'Cost-aware LLM-Based Online Dataset Annotation' selected as a Spotlight Paper (13% of accepted papers) for NeurIPS 2025.
- 'Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy' to be presented at The Thirteenth International Conference on Learning Representations (ICLR 2025).
- 'Analysis and Optimization of Robustness in Multiplex Flow Networks Against Cascading Failures' to appear in IEEE Transactions on Network Science and Engineering, August 2025.
- 'Correlated Social Contagions with Multiple Topics: A Generalized Linear Threshold Model' to appear in IEEE Transactions on Networking, 2025.
Research Experience
Research Professor at the Department of Electrical and Computer Engineering, Carnegie Mellon University, and several research centers.
Background
Research interests include Machine Learning and Data Science, Multi-armed Bandit Algorithms, Security and Resilience in Decentralized Machine Learning, Reinforcement Learning, Cyber-Physical Systems, Internet of Things, and Ad-hoc Networks, etc.