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Resume (English only)
Academic Achievements
Publications: 'PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop' ICML 2025, 'Timer: Transformers for Time Series Analysis at Scale' ICML 2024, 'Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors' NeurIPS 2023; Awards: National Scholarship (2024), Outstanding Graduates of Beijing (2025), Outstanding Graduates of Tsinghua (2025) etc.; Academic Services: Reviewer for multiple international conferences such as ICML 2025, NeurIPS 2025, etc.
Research Experience
Worked under the guidance of Prof. Saining Xie at New York University and Prof. Mingsheng Long at Tsinghua University; Teaching Assistant for Computational Photography (CS 445), Fall 2025, Instructor: Prof. Yuxiong Wang
Education
Master's: University of Illinois Urbana-Champaign, Computer Science, 2025-2027 (expected), Advisor: Prof. Yuxiong Wang; Bachelor's: Tsinghua University, Software Engineering, 2021-2025, GPA: 3.89/4.0
Background
Research Interests: Deep Learning and Machine Learning with a focus on applications in Computer Vision. Long-term goal is to leverage deep learning methodologies to address real-world challenges and create impactful solutions.
Miscellany
Contributed to Apache IoTDB project, developing the AI node for time series database