Jindan Li
|
Ph.D. student Email: jl4767@cornell.edu 2 W Loop Rd, New York, NY 10044 |
About me
I am currently a Ph.D. student at Cornell University (since Aug 15, 2025), and am fortunately advised by Prof. Tianyi Chen. From Sep 2024 to Aug 2025, I worked as a Research Assistant at RPI ECSE with Prof. Chen. In Spring 2025, I also served as a Teaching Assistant for the undergraduate course ECSE 2500 – Engineering Probability at RPI. I received my B.Eng. in Information Engineering from Zhejiang University in July 2024.
Research
Research interests: Analog In-Memory Computing (AIMC), wireless communication.
Residual Learning for AIMC Training. My recent work focuses on a residual learning strategy across multiple analog tiles to overcome the challenges of limited conductance states and asymmetric update dynamics in AIMC. The key idea is to decompose weight updates into residual components with geometric scaling, ensuring each tile operates within a stable dynamic range. This approach improves effective precision and robustness under device non-idealities. Implementation and experiments are available in my code repository: github.com/Jindanli898/AIMC.
Education
- Cornell University, Ithaca, NY, USA — Ph.D., Electrical and Computer Engineering, Aug 2025 – Present
- Rensselaer Polytechnic Institute, Troy, NY, USA — Research Assistant (RA), Sep 2024 – Aug 2025
- Zhejiang University, Hangzhou, China — B.Eng., Information Engineering, 2020 – 2024