Ruixiang Tang

Ruixiang Tang

Ph.D. Student

Rice University


About Me

Howdy! I am currently a 4th year Ph.D. student in the Department of Computer Science, at Rice University. My advisor is Prof. Xia Hu, who leads the DATA Lab and Rice and Rice D2K Lab. I obtained my bachelor’s degree from the Department of Automation, Tsinghua University, advised by Prof. Jiwen Lu.

My research interests lie in trustworthy AI, with a particular interest in the areas of Explainable, Fair, and Robust DNNs. 



Rice University

Texas A&M University

Tsinghua University

Industry Experience

Microsoft Research, Applied Scientist Intern

Microsoft Research, Research Intern

Adobe Research, Research Intern

Microsoft Research Asia, Research Intern

Recent Publications [google scholar]


Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning 

Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue 

Findings of the Association for Computational Linguistics: ACL 2023

The Science of LLM-generated Text Detection 

Ruixiang Tang, Yu-Neng Chuang, Xia Hu


Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond  

Ruixiang Tang*, Jinfeng Yang*, Hongye Jin*, Xiaotian Han*, Qizhang Feng*, Haoming Jiang, Xia Hu. Preprint

PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data

Ruixiang Tang*, Shenghan Zhang*, Haoxuan Li*, Sirui Ding*, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu. IEEE International Conference on Healthcare Informatics 2023

Was my Model Stolen? Feature Sharing for Robust and Transferable Watermarks 

Ruixiang Tang, Hongye Jin, Curtis Wigington, Mengnan Du, Rajiv Jain, Xia Hu 


Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking 

Ruixiang Tang,  Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu 

SIGKDD Exploration Letter, 2023

Does Synthetic Data of LLMs help Clinical Text Mining?

Ruixiang Tang*, Xiaotian Han*, Xiaoqian Jiang, Xia Hu


Local Contrastive Learning for Medical Image Recognition  

Syed A. Rizvi, Ruixiang Tang, Xiaoqian Jiang, Xiaotian Ma, Xia Hu


DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research 

Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Ruixiang Tang, Fan Yang, Alfredo Costilla Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu. Preprint


Mitigating Relational Bias on Knowledge Graphs 

Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu 


Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning 

Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu

American Medical Informatics Association, 2022 (Best Student Paper Finalists )

Towards Debiasing DNN Models From Spurious Feature Influence

Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu

AAAI 2022


Defense Against Explanation Manipulation

Ruixiang Tang*, Ninghao Liu*, Fan Yang, Na Zou, Xia Hu

Frontiers in Big Data, 2021

Mitigating gender bias in captioning systems

Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu

Proceedings of the Web Conference, 2021

Fairness via representation neutralization

Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Awadallah, Xia Hu 

Advances in Neural Information Processing Systems, 2021

DEGREE: Decomposition Based Explanation for Graph Neural Networks

Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu

International Conference on Learning Representations, 2021

Understanding Social Biases Behind Location Names in Contextual Word Embedding Models

Fangsheng Wu, Mengnan Du, Chao Fan, Ruixiang Tang, Yang Yang, Ali Mostafavi, Xia Hu 

IEEE Transactions on Computational Social Systems, 2021


An embarrassingly simple approach for trojan attack in deep neural networks

Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu

ACM International Conference on Knowledge Discovery & Data Mining (KDD), 2020

Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs

Chunze Lin*, Ruixiang Tang*, Darryl D Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou 

IEEE International Symposium on Biomedical Imaging (ISBI), 2020

Breast mass detection in mammograms via blending adversarial learning

Chunze Lin, Ruixiang Tang, Darryl D Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou 

International Workshop on Simulation and Synthesis in Medical Imaging, 2020


Classification of chest CT using case-level weak supervision

Ruixiang Tang, FI Tushar, S Han, R Hou, GD Rubin, JY Lo

Medical Imaging: Computer-Aided Diagnosis, 2019 

Multi-organ segmentation in clinical-computed tomography for patient-specific image quality and dose metrology

Wanyi Fu, Shobhit Sharma, Taylor Smith, Rui Hou, Ehsan Abadi, Vignesh Selvakumaran, Ruixiang Tang, Joseph Y Lo, W Paul Segars, Anuj J Kapadia, Justin B Solomon, Geoffrey D Rubin, Ehsan Samei. Medical Imaging: Physics of Medical Imaging, 2019


AMIA 2022 Best Student Paper Finalists 

WWW 2021 Student Scholarship

KDD 2020 Travel Award

Meritorious Winner in Interdisciplinary Contest In modeling (Top 10%) 2018

The Silver Medal of IGEM (International Genetically Engineered Machine) in 2017

Technological Innovation Award, Tsinghua University (Top 10%) 2017

Academic Progress Award, Tsinghua University (Top 30%) 2015

Outstanding Freshman Scholarship, Tsinghua University (Top 10%) 2014

The Gold Medal of Chinese Biology Olympia in Senior (ranked seventh) 2012