Awarded the 2024 Qian Weichang Prize for Chinese Information Processing Science and Technology (First Prize in Natural Sciences); Dual-track championships in the NeurIPS 2024 Auto-Bidding in Large-Scale Auctions Competition; Proposed the Generative Model for RL (G4RL) bidding paradigm, increasing the platform's revenue by more than 3%; Published multiple papers including 'TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction'.
Research Experience
Currently a Senior Staff Research Scientist at Kuaishou Technology, responsible for business optimization and technical management.
Education
Ph.D. from Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University; B.E. from Nanjing University.
Background
Core research focuses on Reinforcement Learning and its applications to Large Language Models and practical domains (Recommender Systems and Advertising).
Miscellany
Serves as Area Chair, Organizer, and Program Committee member for top-tier machine learning conferences such as NeurIPS, ICLR, AAMAS, CIKM, ICML, WWW, and AAAI.