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

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

Journal of Biomedical Informatics, JBI 2024 (LLM+Healthcare)

• 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. 

Transactions on Knowledge Discovery from Data, TKDD 2024 (LLM)

• Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks

Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A Inan, Janardhan Kulkarni, Xia Hu

Findings of Empirical Methods in Natural Language Processing, EMNLP 2023 (LLM + Privacy)

• Setting the Trap: Capturing and Defeating Backdoor Threats in Pretrained Language Models through Honeypots 

Ruixiang Tang*, Jiayi Yuan*, Yiming Li, Zirui Liu, Rui Chen, Xia Hu 

Conference on Neural Information Processing Systems, NeurIPS 2023 (LLM + Security)

• Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model

Zirui Liu*, Guanchu Wang*, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu 

Conference on Neural Information Processing Systems, NeurIPS 2023 (LLM + Efficiency)

• The Science of Detecting LLM-generated Texts

Ruixiang Tang, Yu-Neng Chuang, Xia Hu

Communications of the ACM, 2023 (LLM + Security)

• Does Synthetic Data of LLMs Help Clinical Text Mining?

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

AMIA 2023 Annual Symposium (LLM + Privacy + Healthcare)

• LLM for Healthcare Data Augmentation: An Example on Patient-Trial Matching

Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

AMIA 2023 Annual Symposium  (LLM + Healthcare) (Best Student Paper )

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

Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue 

Findings of Annual Meeting of the Association for Computational Linguistics, ACL 2023 (LLM + Robustness)

• Local Contrastive Learning for Medical Image Recognition

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

AMIA 2023 Annual Symposium

• 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. 

Conference on Information and Knowledge Management, demo paper, CIKM 2023 (Best Demo Paper Honorable Mention)

• Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks

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

Conference on Information and Knowledge Management, short paper, CIKM 2023

• Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection

Ruixiang Tang, Mengnan Du, Xia Hu. 

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023

• 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

• 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, ICHI, 2023

• Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning 

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

AMIA 2022 Annual Symposium (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

The Web Conference, WWW 2021

• Fairness via Representation Neutralization

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

Conference on Neural Information Processing Systems, NeurIPS 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, ICLR 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

SPIE Medical Imaging: Computer-Aided Diagnosis, 2019