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Ruixiang Tang

Trustworthy Machine Learning Robustness In Machine Learning Explainability In AI Large Foundation Models Reasoning Algorithms For AI Alignment
Rutgers University Department of Computer Science

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

68
Total Papers
4063
Total Citations
22
H-Index
2019-2026
Active Research Span

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.

2026
5
2025
23
2024
16
2023
12
2022
2
2021
4
2020
3
2019
3

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 6
Journal 4
Book 1

Top Coauthors

Tang Wang Liu

Research Impact by Period

2025-2026

Period Stats
Papers 28
Citations 263
Avg. Citations / Paper 9.4
H-Index 9

2020-2024

Period Stats
Papers 37
Citations 3765
Avg. Citations / Paper 101.8
H-Index 19

2015-2019

Period Stats
Papers 3
Citations 35
Avg. Citations / Paper 11.7
H-Index 3

Contact and Professional Links

Contact Information

ruixiang.tang@rutgers.edu
8484457498

Detected Research Keywords

Multimodal Context Learning Enhancing Multimodal Context Vision Language Models