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 (L2O)
    • 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