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

Preprint

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

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

Preprint

SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization 

Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

Preprint

LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability 

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

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 

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

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