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.
Interests
Trustworthy AI
ML Robustness
ML Fairness
Healthcare AI
Natural Language Processing
Education
Ph.D. in Computer Science, 2021
Rice University
Ph.D. in Computer Engineering, 2019
Texas A&M University
BSc in Automation, 2014
Tsinghua University
Industry Experience
Microsoft Research, Research Intern
Mentor(s): Gord Lueck, Rodolfo Quispe, Huseyin Inan, Janardhan Kulkarni
Mar. 2022 - Aug. 2022
Privacy quantification for medical dialogue summarization model
Adobe Research, Research Intern
Mentor(s): Curtis Wigington, Rajiv Jain
Mar. 2021 - Aug. 2021
Watermarking image translation models and ML-based APIs
Microsoft Research Asia, Research Intern
Mentor(s): Xiting Wang, Xing Xie
Mar. 2019 - May. 2019
Interpretable Recommendation System
Recent Publications [google scholar]
2022
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 )
2021
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
2020
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
2019
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
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
Awards
AMIA 2022 Student Paper Finalists
WWW 2021 Student Scholarship 2021
KDD 2020 Travel Award 2020
Technological Innovation Award, Tsinghua University (Top 10%) 2017
Academic Progress Award, Tsinghua University (Top 30%) 2015
Outstanding Freshman Scholarship, Tsinghua University (Top 10%)
Meritorious Winner in Interdisciplinary Contest In modeling (Top 10%) 2018
The Silver Medal of IGEM (International Genetically Engineered Machine) in 2017
The Gold Medal of Chinese Biology Olympia in Senior (ranked seventh) 2012