About Me

I am a first-year PhD student at the University of Washington, advised by Prof. Mari Ostendorf. My current research interests focus on building multimodal models to address real-world problems involving speech, text, and image modalities. Prior to this, I graduated from the University of Wisconsin-Madison with a B.S. in Computer Engineering and Computer Science, where I had the privilege of working with Prof. Kangwook Lee.

Publications

Can MLLMs Perform Text-to-Image In-Context Learning?
Yuchen Zeng*, Wonjun Kang*, Yicong Chen, Hyung Il Koo, Kangwook Lee
Conference on Language Modeling (COLM) 2024

Zero-shot Improvement of Object Counting with CLIP
Ruisu Zhang*, Yicong Chen*, Kangwook Lee
Robustness of Few-shot and Zero-shot Learning in Foundation Models (R0-FoMo) Workshop @ NeurIPS 2023

Coded Prompts for Large Language Models
Ziqian Lin, Yicong Chen, Yuchen Zeng, Kangwook Lee
Robustness of Few-shot and Zero-shot Learning in Foundation Models (R0-FoMo) Workshop @ NeurIPS 2023

FedGP: Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai, Yicong Chen, Jy-yong Sohn, S M Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee
Federated Learning Systems (FLSys) Workshop @ MLSys 2023 • Oral Presentation • Best Paper Award