Jingchen Sun （孙精辰） Ph.D. Student Department of Computer Science and Engineering The State University of New York at Buffalo Email: jsun39@buffalo.edu

About Me

I am a Ph.D. student in Computer Science at The State University of New York at Buffalo, fortunate to be supervised by Prof. Changyou Chen. Prior to this, I obtained my Master's degree from Zhejiang University and my Bachelor's degree from North China Electric Power University.

My research primarily focuses on Multi-modal Large Language Lodels (LLMs), including but not limited to vision-language and audio-language models. I have developed several parameter-efficient methods, such as cross-modal prompt tuning and training-free support sets, to facilitate and enhance the application of these pretrained LLMs in downstream tasks.

I am currently interested in leveraging Retrieval-Augmented Generation (RAG) to enhance the reasoning capabilities of multimodal LLMs. If you are also interested in related topics and would like to collaborate, feel free to drop me an email!

News [Update!]

• 12/20/2024: Two papers were accepted to ICASSP 2025!
• 10/28/2024: A paper was accepted to WACV 2025!
• 09/25/2024: A paper was accepted to NeurIPS 2024!
• 08/23/2024: I finished the intern at NEC Labs, great summer at Princeton !

Highlight Publications

• KidSpeak: A General Multi-Purpose LLM for Kids' Speech Recogni- tion and Screening Rohan Sharma, Dancheng Liu, Jingchen Sun, Shijie Zhou, Jiayu Qin, Jinjun Xiong, Changyou Chen. Under Review Code PDF

• CLAP-S: Support Set-Based Adaption for Downstream Fiber-Optic Acoustic Recognition Jingchen Sun, Shaobo Han, Wataru Kohno, Changyou Chen. ICASSP 2025 Code PDF

• Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande, Changyou Chen WACV 2025 Code PDF

• A probability contrastive learning framework for 3D molecular representation learning Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen NeurIPS 2024 Code PDF

• Prompt Tuning based Adapter for Vision-Language Model Adaption Jingchen Sun, Qin Jiayu, Lin Zihao, Chen Changyou ArXiv 2023 Code PDF

Internship

• 
  NEC Labs America
  Research Intern
  Princeton, NJ, June 2024 - Aug 2024
• 
  Nokia Bell Labs
  Applied AI Researcher Intern
  Murray Hill, NJ, June 2023 - Aug 2023
• 
  Bytedance
  Computer Vision Intern
  Shanghai, May 2021 - July 2021

Conference Reviewrs

• NeurIPS 2024, ICLR 2025, ICML 2025, AISTATS 2025, WACV 2025, IJCNN 2025, ICASSP 2025

Journal Reviewrs

• Transactions on Machine Learning Research

Teaching Asistant

• CSE 474/574: Introduction to Machine Learning (2024 Spring, 2022 Fall)
• CSE 676: Deep Learning (2022 Spring)