🏅 Selected as an Outstanding Camper at the SAI Summer Camp
I was selected as an Outstanding Camper at the 2026 Summer Camp of the School of Artificial Intelligence, SJTU.
About Me
I am currently studying for my undergraduate degree in Shanghai Jiao Tong University, majoring in artificial intelligence. I am fortunate to be advised by Prof. Yanwei Li at the School of Artificial Intelligence. My areas of interest are: foundation models, embodied intelligence, and deep learning theory.
If you have the same interests or hobbies, let’s be friends!
My Research
I have previously worked on PEFT (parameter-efficient fine-tuning), model merging, and visual token pruning for MLLMs.
I am now moving toward foundation models and embodied intelligence, and I am equally interested in the deep learning theory that underpins them.
Feel free to reach out to collaborate! 😃
Recent News
🌟 We have open-sourced the EADP repository
Our ECCV 2026 work EADP is now available on GitHub. Welcome to try it, use it, and star the repo!
🎯 Our work ``EADP'' was accepted to ECCV 2026
🎈 Our work ``EADP’’ was accepted to ECCV 2026, thank U to all collaborators. The paper and code are coming soon…
🚀 I recently wrote a overview article about **Model Merging**
✍️ I recently wrote a overview article about Model Merging, covering nearly 30 methods with detailed mathematical derivations.
🚀 I have sorted out several projects I have done in recent months
✍️ In recent months, I have done some interesting projects, including ViT on CIFAR-10, Simple ML, ASR, etc.
🎉 I have opensourced my VAD project recently
📈 I conducted extensive experiments comparing frame division methods and model performances, with rich visualizations.
Education
September 2023 Present
BEng Artificial Intelligence
Shanghai Jiao Tong University
Focused on basic courses, continued to expand my interests and hobbies, read widely, and conducted scientific research that I was interested in.
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June 2026 Present
Research Assistant
M³ Lab, SJTU School of Artificial Intelligence
Responsibilities include:
- Research on World Action Models, and their deployment on real robots
- Research on foundation video generation models
October 2024 July 2026
Research Internship
SJTU-Artificial Intelligence Institute DeepVision Lab
Responsibilities include:
- Research on PEFT(Parameter-Efficient-Fine-Tuning)
- Research on Model Merging
- Research on Visual Token Prune for MLLMs
July 2024 September 2024
Summer Research Internship
SJTU-Artificial Intelligence Institute DeepVision Lab
Responsibilities include:
- Computer Vision
- Learned to read papers and reproduced basic computer vision algorithms
杨炫锟