Chongjie Si ☕️
Chongjie Si

Ph.D Candidate

Shanghai Jiao Tong University

About Me

Chongjie Si is a Ph.D Candidate at the Artificial Intelligence Institute, Shanghai Jiao Tong University (SJTU), advised by Prof. Wei Shen, since Sept. 2022. He previously obtained the Bachelor’s degree from Chien-Shiung Wu College, Southeast University (SEU) in 2022.

Interests
  • Parameter Efficient Fine-tuning
  • Semantic Segmentation
  • Weakly Supervised Learning
Education

  • Ph.D Artificial Intelligence

    Shanghai Jiao Tong University

  • BSc Chien-Shiung Wu College

    Southeast University

📚 My Research

I have experience in the fields of machine learning, computer vision, and natural language processing, and have worked on projects in all of these areas.

I’m now focusing on Parameter Efficient Fine-tuning.

Please reach out to collaborate! 😃

💥 Recent News

🎯 We propose LoRA-Dash, which unleashes the power of task-specific directions in parameter efficient fine-tuning.

Please refer to this page for more details

🎁 Our work Subspace Tuning and FLoRA has been invited for presentation at AiDD 2024, Beijing Station.

Please refer to this page for more details

🎯 We propose Subspace Tuning for PEFT.

Please refer to this page for more details

📘 One paper has been accepted to ECCV 2024.

🎯 We propose FLoRA, aiming to preserve the topological structure of N-dimensional parameter space while seeking low-rank representations.

Please refer to this page for more details

📘 One paper has been accepted to AAAI 2024 as an Oral Presentation.

📘 One paper has been accepted to TKDE 2023.

📘 One paper has been accepted to KDD 2023 as an Oral Presentation.