Bio
Education
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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
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2024-Present Visiting Ph.D. student
California Institute of Technology, Pasadena, California, US - Mentored by Prof. Adam Wierman
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2023 Research Intern
Nokia Bell Labs, Murray Hills, New Jersey, US - Mentored by Dr. Matthew Andrews
Honors and Awards
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2024 - Best Notes Paper Award (1 out of 40 notes paper submissions), ACM e-Energy
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2020 - Dean's Distinguished Fellowship, UC Riverside
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2018 - LCSR Faculty Scholarship (1 out of 200 applicants), Johns Hopkins University
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2018 - Outstanding Graduates (top 5%), Zhejiang University
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2016 - First-class Scholarship for Outstanding Students (top 5%), Zhejiang University
Academic Interests
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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
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Sustainable Artificial Intelligence
- Ecological impact of AI, model and benchmark
- Methods towards a more sustainable AI future
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Environmental and Social Fairness
- Online scheduling with competitive fairness guarantees
- Fairness-regularized online optimization
- Socially and environmentally equitable AI
- Socially-equitable public model