CV
You can find pdf here: CV.
Education
- Ph.D. in Computer Application Technology, Fudan University, 2027 (expected)
- B.S. in Computer Science and Technology, Fudan University, 2021
Work experience
- Nov 2025 - Present: LLM Pre-training Algorithm Intern
- Xiaohongshu
- Duties include: Investigated Scaling Laws and structural parameter optimization for MoE models; designed a pipeline mapping compute budgets to optimal structural parameter allocations. Researched efficient and robust data mixture algorithms, utilizing low-rank matrices to model interaction relationships across different data domains.
- Spring 2020 - Summer 2020: Deep Learning Intern
- Fosun Lead Intelligence (Shanghai) Pharmaceutical Technology Co., Ltd.
- Duties included: Conducting research on Tumor Precision Medicine based on deep learning; Designed and developed Graph Message Passing Neural Networks (GMPNN) tools for molecular property analysis.
Publications
Teaching
Academic Service
I actively participate in the peer review process for top-tier computer vision and machine learning conferences and journals.
- Conference Reviewer:
- Neural Information Processing Systems (NeurIPS): 2024, 2025
- 🏆 Selected as Top Reviewer (NeurIPS 2024, 2025)
- International Conference on Learning Representations (ICLR): 2025, 2026
- AAAI Conference on Artificial Intelligence (AAAI): 2026
- Neural Information Processing Systems (NeurIPS): 2024, 2025
- Journal Reviewer:
- Transactions on Machine Learning Research (TMLR)
