Ruixiang Tang

Ruixiang Tang

Ph.D. Student

Rice University

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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

Adobe Research, Research Intern

Microsoft Research Asia, Research Intern

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

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

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