December 2024, Best Paper Award at Workshop on Machine Learning and Compression @ NeurIPS 2024.
July 2024, Best Paper Award at the Learn to Compress Workshop @ the International Symposium on Information Theory (ISIT) 2024.
2024, Distinguished Graduate Award Excellence in Research-Doctoral from Texas A&M University.
2023, Quality Graduate Student Award from ECEN, Texas A&M University.
October 2022, 2020-2021 IEEE Data Storage Best Student Paper Award for the paper 'Capacity-achieving private information retrieval codes from MDS-coded databases with minimum message size' in IEEE Trans. Inform. Theory 2020.
September 2022, Two papers accepted in Neurips 2022.
August 2022, Chevron Scholarship Award from ECEN department, Texas A&M University.
2022, Graduate Research and Presentation Travel Award, Texas A&M University.
2019, IEEE International Symposium on Information Theory Student Travel Award.
2017, Huayu Fund Scholarship, awarded to students with strong scientific potential, USTC.
2016, China National Scholarship, USTC.
Background
Research interests: information theory, reinforcement learning, and optimization. Leverages tools from information theory and optimization to understand and design algorithms in machine learning and reinforcement learning with provable guarantees.