(First author) “Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation.” ACL’25 Long Main; (Fifth author) “A Survey of Controllable Learning: Methods and Applications in Information Retrieval.” Frontiers of Computer Science (2025); (Co-First author) “LexPam: Legal Procedure Awareness-Guided Mathematical Reasoning.” Submitted to EMNLP2025; (First author) “FedSKU: Defending Backdoors in Federated Learning Through Selective Knowledge Unlearning” Arxiv’24. Honor & Awards: Silver Medal, The 46th ICPC Asia Regional Contest (Shanghai), Nov 2021; First Prize, The 13th The Chinese Mathematics Competitions, Oct 2021; First-Class Scholarship in Beijing University of Posts and Telecommunications, 2020-2021; Second-Class Scholarship in Beijing University of Posts and Telecommunications, 2021-2022; Merit Student Scholarship in Beijing University of Posts and Telecommunications, 2020-2021 & 2021-2022.
Research Experience
Research Intern, Tencent, WeChat group, February 2024 - Now; Teaching Assistant, Introduction to Artificial Intelligence, Spring 2025.
Education
Ph.D. Candidate, Gaoling School of Artificial Intelligence, Renmin University of China, 2024.09 - Present; B.E., School of Computer Science, Beijing University of Posts and Telecommunications, 2020.09 - 2024.06.
Background
He is currently a first-year Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China. His major research interests are about Large Language Models, Reinforcement Learning (especially Multi-Objective RL), Controllable Generation, Model Merging, etc.