5. A Brief Survey on the Approximation Theory for Sequence Modelling (JML 2023)
6. Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences (ACS Synthetic Biology)
- Manuscripts:
1. LongSSM: On the Length Extension of State-space Models in Language Modelling (ICML 2024 NGSM workshop)
2. Improve Long-term Memory Learning Through Rescaling the Error Temporally
3. HyperSNN: A new efficient and robust deep learning model for resource constrained control applications
4. Learning Relational Tabular Data without Shared Features
Research Experience
- 2025.01-Present: XTY AI residency (New York)
- 2024.04-2024.08: 01.AI Multi-modal Intern
- 2023.04-2023.12: Sea AI Lab Intern
- 2021.08-2021.10: Advance.AI R&D Intern
- 2019.07-2020.01: Megvii Intern
- 2019.01-2019.02: Goku-data Intern
Education
- Ph.D. in Mathematics, National University of Singapore, 2020-2024, Advisor: Professor Li Qianxiao
- B.S. in Mathematics, Fudan University, 2016-2020
Background
- Research Interests: Sequence modeling, language models, and nonlinear systems