Bio
Education
-
2020-Present PhD candidate in Computer Science
University of California, Riverside -
2018-2020 Master of Science in Engineering, Robotics
Johns Hopkins University -
2014-2018 Bachelor of Engineering in Electrical Engineer
Zhejiang University
Experience
-
2024-Present Visiting Ph.D. student
California Institute of Technology, Pasadena, California, US - Mentored by Prof. Adam Wierman
-
2023 Research Intern
Nokia Bell Labs, Murray Hills, New Jersey, US - Mentored by Dr. Matthew Andrews
Honors and Awards
-
2024 - Best Notes Paper Award (1 out of 40 notes paper submissions), ACM e-Energy
-
2020 - Dean's Distinguished Fellowship, UC Riverside
-
2018 - LCSR Faculty Scholarship (1 out of 200 applicants), Johns Hopkins University
-
2018 - Outstanding Graduates (top 5%), Zhejiang University
-
2016 - First-class Scholarship for Outstanding Students (top 5%), Zhejiang University
Academic Interests
-
Trustworthy Online Algorithms
- Expert-calibrated End-to-end Learning to Optimize
- Robustness Constrained Learning for Smoothed Online Optimization
- Learning Augmented Decentralized Online Algorithm
- Robust Learning for Online Bipartite Matching
-
Sustainable Artificial Intelligence
- Ecological Impact of AI, Model and Benchmark
- Methods Towards a More Sustainable AI Future
-
Environmental and Social Fairness
- Online Scheduling with Competitive Fairness Guarantees
- Fairness-Regularized Online Optimization
- Socially and Environmentally Equitable AI
- Socially-Equitable Public Model