• TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration

Yanshu Li, Tian Yun, Jianjiang Yang, Pinyuan Feng, Jinfa Huang, Ruixiang Tang

Empirical Methods in Natural Language Processing, EMNLP Main, 2025

• LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario

Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu 

Empirical Methods in Natural Language Processing, EMNLP Findings, 2025

• A Decoupled Multi-Agent Framework for Complex Text Style Transfer

Lingxi Zhang, Lingxi_Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu 

Empirical Methods in Natural Language Processing, EMNLP Findings, 2025

• M²IV: Towards Efficient and Fine-grained Multimodal InContext Learning in Large Vision-Language Models

Yanshu Li, Hongyang He, Yi Cao, Qisen Cheng, Xiang Fu, Ruixiang Tang

Conference on Language Modeling, COLM, 2025

• EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens

Liwei Che, Tony Qingze Liu, Jing Jia, Weiyi Qin, Ruixiang Tang, Vladimir Pavlovic

International Conference on Computer Vision, ICCV, 2025

• Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics

Taowen Wang, Dongfang Liu, James Chenhao Liang, Wenhao Yang, Qifan Wang, Cheng Han, Jiebo Luo, Ruixiang Tang

International Conference on Computer Vision, ICCV, 2025

• When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations

Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang

Association for Computational Linguistics, ACL Main, 2025

• Disentangling Memory and Reasoning Ability in Large Language Models

Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang

Association for Computational Linguistics, ACL Main, 2025

• Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding

Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, and Yongfeng Zhang.

International Conference on Machine Learning, ICML 2025 

• Re-Imagining Multimodal Instruction Tuning: A Representation View

Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han

International Conference on Learning Representations, ICLR 2025 

• DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
  Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du
  SIGKDD Explorations, 2025

• Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion

Guanchu Wang*, Yu-Neng Chuang*, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu

Proceedings of Empirical Methods in Natural Language Processing, EMNLP 2024 

• Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models

Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu

Findings of Empirical Methods in Natural Language Processing, EMNLP 2024 

• TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution

Wenyue Hua, Xianjun Yang, Mingyu Jin, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

Findings of Empirical Methods in Natural Language Processing, EMNLP 2024 

• Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs

Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu 

Transactions on Knowledge Discovery from Data, TKDD 2024 

• Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models

Ruixiang Tang*, Yu-Neng Chuang*, Xuanting Cai, Mengnan Du, Xia Hu 

Findings of Annual Conference of the North American Chapter of the ACL, NAACL 2024 

• Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond  

Jinfeng Yang*, Hongye Jin*, Ruixiang Tang*, Xiaotian Han*, Qizhang Feng*, Haoming Jiang, Xia Hu. 

Transactions on Knowledge Discovery from Data, TKDD 2024 

• 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 

• 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 

• 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 

• The Science of Detecting LLM-generated Texts

Ruixiang Tang, Yu-Neng Chuang, Xia Hu

Communications of the ACM, 2023

• 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

• 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

• 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

• Survey and Improvement Strategies for Gene Prioritization with Large Language Models

Matthew Neeley*, Guantong Qi*, Guanchu Wang*, Ruixiang Tang, Dongxue Mao, Chaozhong Liu, Sasidhar Pasupuleti, Bo Yuan, Fan Xia, Pengfei Liu, Zhandong Liu, Xia Hu

Bioinformatics Advances

• 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 

• Does Synthetic Data of LLMs Help Clinical Text Mining?

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

AMIA 2023 Annual Symposium 

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

Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

AMIA 2023 Annual Symposium (Best Student Paper )

• 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)

• PheME: A Deep Ensemble Framework for Improving Phenotype Prediction from Multi-modal Data

Shenghan Zhang*, Haoxuan Li*, Ruixiang Tang*, Sirui Ding*, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu. 

IEEE International Conference on Healthcare Informatics, ICHI, 2023

• Local Contrastive Learning for Medical Image Recognition

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

AMIA 2023 Annual Symposium

• 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 

• Multi-organ Segmentation 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. 

SPIE Medical Imaging: Physics of Medical Imaging, 2019

• 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