I am Taixi Chen, a CS PhD student at the State University of New York at Binghamton, advised by Prof. Nancy L. Guo. I received my B.Sc. in Computer Science and Technology from Hong Kong Baptist University, advised by Prof. Yiu-ming Cheung.
My current research focuses on developing efficient learning methods to improve the robustness and capabilities of multimodal foundation models and large language models for medical AI.
đź“– Education
State University of New York at Binghamton, New York, US Aug 2025 - present
PhD student in Computer Science
Hong Kong Baptist University, Kowloon, Hong Kong Sep 2021 – Jun 2025
B.Sc in Computer Science and Technology, First Class Honours
🏆 Honors
MI Asia Award
President’s Honour Roll
Dean List
CST Concentration Award
đź“• Selected Publication
✉️ Corresponding author.
Test-Time Logit Prompting for Source-Free Missing Modality Adaptation
Taixi Chen, Nancy Guo✉️
Preprint, 2026 [paper]
Learning from Reliable Latent Prompts for Visual Recognition with Missing Modalities
Taixi Chen, Nancy Guo✉️
Preprint, 2026 [paper]
UAM: A Unified Attention-Mamba Backbone of Multimodal Framework for Tumor Cell Classification
Taixi Chen, Jingyun Chen, Nancy Guo✉️
Technical Report, 2025 [paper]
TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation
Taixi Chen, Yiu-ming Cheung✉️
IEEE WI-IAT 2025 AI4SG (Oral). [code] [paper]
CADM: Cluster-customized Adaptive Distance Metric for Categorical Data Clustering
Taixi Chen, Yiu-ming Cheung✉️, Yiqun Zhang
ICASSP 2026 (poster) [code] [paper]
Services
Technical Program Committee/Reviewer: MMM27’, ICIC26’