Yiming Shi (史一鸣)
Hi, I’m Yiming Shi, an undergraduate at the University of Electronic Science and Technology of China (UESTC) enrolled in the Internet+ Dual Degree Program. I’m pursuing a BSc in Computer Science and a BEc in Finance.
Current Position
I’m currently an intern at TSAIL at Tsinghua University, co-advised by Prof. Jun Zhu and Dr. Zehua Chen. Currently I’m working with Dr. Duo Su in the area of dataset distillation, with a focus on Efficient AI.
News
[24/10/18] Our paper “LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning” has been published on arXiv. You can read the full paper here. Our code can be accessed at here.
[24/08/11] Our paper “DiffLoRA: Generating Personalized Low-Rank Adaptation Weights with Diffusion” has been published on arXiv. You can read the full paper here.
News Archived
- [24/01/12] In the final round of the International Algorithm and Case Competition (IACC), we secured the 4th place (ranked 4/815). Our code is available. You can find our award certificate here.
Previous Experience
Research Intern (May 2023 - Present)
Center for Future Media at University of Electronic Science and Technology of China (UESTC)
Co-advised by Prof. Yang Yang and Dr. Jiwei WeiDevOps Team Member (Nov 2022 - Present)
Star Studio at UESTC
Research Interests
My research primarily focuses on the following areas:
- Parameter-Efficient Fine-Tuning (PEFT)
- Diffusion Models
- Dataset Distillation
- Schrodinger Bridge
- Multimodal
I’m deeply passionate about deep learning and its applications in these fields.
For a curated list of the latest research papers related to my interests, please visit my ArXiv daily digest. This resource leverages the ArXiv API to aggregate and present relevant topics in an easily digestible format.
