Changyou Chen

Dr. Changyou Chen is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York. His research focuses on

• Multi-Modal Learning
• Foundation Models
• Deep Generative Models
• Large-scale Bayesian Sampling

with applications in document understanding, music-AI integration, and molecular representation learning.

Research Trends revealed through his recent publications include

• Optimizing Multimodal Large Language Models
• Developing Novel Retrieval-Augmented Generation Frameworks
• Creating Benchmark Datasets for Visual Text Understanding
• Advancing Diffusion Models with Domain-Specific Constraints

across domains from music sheets to biomedical documents.

Scientific Contributions:

• UB Young Investigator Award (2020)
• Architect of LoCAL Framework for Long Document Understanding
• Co-developer of MusiXQA Benchmark
• Pioneering Work in Probability Contrastive Learning

Academic Leadership includes mentoring 10+ graduate students and serving as Area Chair for major AI conferences (ICML, NeurIPS, AAAI, IJCAI). His Labs develop scalable solutions for multimodal reasoning, with recent work demonstrating practical GPU memory optimization through LoRA adapter sharing.