Ruixiang Tang
About
I am a Tenure-Track Assistant Professor in the Department of Computer Science at Rutgers University–New Brunswick. I received my Ph.D. in Computer Science from Rice University, where I was advised by Dr. Xia Hu. I began my undergraduate studies in Biology at Tsinghua University, conducting research under the guidance of Dr. Xu Tan, and later transferred to the Department of Automation, completing my B.S. under the supervision of Dr. Jiwen Lu. Our research focus is in the realm of Trustworthy Machine Learning, a critical area that demands the infusion of trust throughout the machine learning lifecycle—from data acquisition and model development to deployment and user interaction. Within this overarching theme, I specialize in issues related to robustness and explainability. Additionally, I collaborate closely with biologists and health informaticians to apply machine learning in addressing critical challenges in biology and medicine. The Large Foundation Models (e.g., Large Language Models, Large Vision-Language Models, and Vision-Language Action Models) bring new and complex challenges to the trustworthiness of machine learning. Our long-term objective is to develop learning algorithms that enhance the reasoning capabilities of these models, making them more reliable, transparent, and resistant to misuse. By advancing the underlying reasoning mechanisms, we aim to strengthen their alignment with human intent and ensure their responsible use in real-world applications
Research Performance Summary
First Recorded Paper
Multi-organ segmentation in clinical-computed tomography for patient-specific image quality and dose metrology
Year: 2019
Citations: 16
Venue: Medical Imaging 2019: Physics of Medical Imaging
Latest Recorded Paper
Data Augmentation for High-Fidelity Generation of CAR-T Immunological Synapse Images
Year: 2026
Citations: 0
Venue: N/A
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.