My research strives to develop efficient, scalable, and trustworthy machine learning algorithms to build intelligent, learning-enabled networks and systems. To achieve this, I use theoretical tools from machine learning, optimization, and probability to design rigorous algorithms with theoretical guarantees. These algorithms have been deployed in data networks, edge/mobile/cloud computing systems, recommender systems, and beyond.

Openings: I am seeking PhD students and Research Assistants starting in Spring 2025 or Fall 2025. If you are interested, please email me your CV and transcripts. For more information, please visit this page.

Bio

I am an Assistant Professor in the Department of Computer Science at City University of Hong Kong. Prior to this, I was a joint postdoc at Caltech and UMass Amherst, working with Prof. Adam Wierman and Prof. Mohammad Hajiesmaili. I received my Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2022, advised by Prof. Carlee Joe-Wong. Before that, I completed my B.E. in Communication Engineering at Nanjing University of Posts and Telecommunications in 2017.

My CV can be found here.

News

• May. 2024: Our work on a combinatorial bandit approach to solving episodic RL is accepted to ICML 2024.
• Feb. 2024: I give a talk on adversarial attacks on cooperative multi-agent bandits in the Information Theory and Applications (ITA) Workshop.
• Dec. 2023: Two papers about split learning on the mobile edge and context-aware probabilistic maximum coverage bandits are accepted to INFOCOM 2024.
• Oct. 2023: Our work on online pause and resume for carbon-aware load shifting is accepted to SIGMETRICS 2024.
• Sept. 2023: Our work on adversarial attacks on online learning to rank is accepted to NeurIPS 2023.

Honors and Awards

• CDS Postdoctoral Fellowship, UMass Amherst CICS 2022
• SIGMETRICS Best Poster Award  2022
• Qualcomm Innovation Fellowship Finalist 2021
• AAAI-20 Student Scholarship 2020
• SIGMETRICS Student Travel Grant 2018
• Carnegie Institute of Technology Dean’s Fellowship 2017
• National Scholarship from Ministry of Education of China 2015, 2016