Ruixiang Tang
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
Natural Language Understanding
Education
Ph.D. in Computer Science, 2021- now
Rice University
Ph.D. in Computer Engineering, 2019 -2021
Texas A&M University
BSc in Automation, 2014 -2019
Tsinghua University
Industry Experience
Microsoft Research, Applied Scientist Intern
Mentor(s): Gord Lueck, Rodolfo Quispe, Huseyin Inan, Janardhan Kulkarni
Mar. 2023 - Aug. 2023
Dataset privacy analysis
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 (DAX 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]
2023
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
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
Deep serial number: Computational watermarking for DNN intellectual property protection
Ruixiang Tang, Mengnan Du, Xia Hu
Preprint
Was my Model Stolen? Feature Sharing for Robust and Transferable Watermarks
Ruixiang Tang, Hongye Jin, Curtis Wigington, Mengnan Du, Rajiv Jain, Xia Hu
Preprint
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
Preprint
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
Preprint
Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
Preprint
Local Contrastive Learning for Medical Image Recognition
Syed A. Rizvi, Ruixiang Tang, Xiaoqian Jiang, Xiaotian Ma, Xia Hu
Preprint
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
2022
Mitigating Relational Bias on Knowledge Graphs
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
Preprint
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
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 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