Classification of chest CT using case-level weak supervision. - Ruixiang Tang; Fakrul Islam Tushar; Songyue Han; Rui Hou 002; Geoffrey D. Rubin; Joseph Y. Lo (Computer-Aided Diagnosis, 2019)

Breast Mass Detection in Mammograms via Blending Adversarial Learning. - Chunze Lin; Ruixiang Tang; Darryl D. Lin; Langechuan Liu; Jiwen Lu; Yunqiang Chen; Dashan Gao 001; Jie Zhou 001 (SASHIMI@MICCAI, 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 001; Jie Zhou 001 (ISBI, 2020)

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. - Ruixiang Tang; Mengnan Du; Ninghao Liu; Fan Yang 023; Xia Hu 001 (KDD, 2020)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Xia Hu 001 (CoRR, 2020)

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. - Ruixiang Tang; Mengnan Du; Xia Hu 001 (CoRR, 2020)

Fairness via Representation Neutralization. - Mengnan Du; Subhabrata Mukherjee; Guanchu Wang; Ruixiang Tang; Ahmed Hassan Awadallah; Xia Ben Hu (NeurIPS, 2021)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Na Zou 001; Xia Hu 001 (WWW, 2021)

Towards Debiasing DNN Models from Spurious Feature Influence. - Mengnan Du; Ruixiang Tang; Weijie Fu; Xia Hu 001 (AAAI, 2022)

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. - Sirui Ding; Ruixiang Tang; Daochen Zha; Na Zou 001; Kai Zhang 041; Xiaoqian Jiang; Xia Hu 001 (AMIA, 2022)

DEGREE: Decomposition Based Explanation for Graph Neural Networks. - Qizhang Feng; Ninghao Liu; Fan Yang 023; Ruixiang Tang; Mengnan Du; Xia Hu 001 (ICLR, 2022)

Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (CoRR, 2022)

Defense Against Explanation Manipulation. - Ruixiang Tang; Ninghao Liu; Fan Yang 023; Na Zou 001; Xia Hu 001 (Frontiers Big Data, 2022)

Understanding Social Biases Behind Location Names in Contextual Word Embedding Models. - Fangsheng Wu; Mengnan Du; Chao Fan; Ruixiang Tang; Yang Yang 002; Ali Mostafavi; Xia Hu 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. - Ruixiang Tang; Dehan Kong; Longtao Huang; Hui Xue 001 (ACL (Findings), 2023)

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Kwei-Herng Lai; Daochen Zha; Ruixiang Tang; Fan Yang 023; Alfredo Costilla-Reyes; Kaixiong Zhou; Xiaoqian Jiang; Xia Hu 001 (CIKM, 2023)

Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. - Ruixiang Tang; Hongye Jin; Mengnan Du; Curtis Wigington; Rajiv Jain; Xia Hu 001 (CIKM, 2023)

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 001 (EMNLP (Findings), 2023)

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 001; Xia Hu 001 (ICHI, 2023)

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. - Zirui Liu 001; Guanchu Wang; Shaochen Zhong; Zhaozhuo Xu; Daochen Zha; Ruixiang (Ryan) Tang; Zhimeng Stephen Jiang; Kaixiong Zhou; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. - Ruixiang (Ryan) Tang; Jiayi Yuan 001; Yiming Li; Zirui Liu 001; Rui Chen 012; Xia Hu 001 (NeurIPS, 2023)

Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. - Ruixiang Tang; Mengnan Du; Xia Hu 001 (ECML/PKDD (6), 2023)

Does Synthetic Data Generation of LLMs Help Clinical Text Mining? - Ruixiang Tang; Xiaotian Han; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)

The Science of Detecting LLM-Generated Texts. - Ruixiang Tang; Yu-Neng Chuang; Xia Hu 001 (CoRR, 2023)

Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. - Ruixiang Tang; Qizhang Feng; Ninghao Liu; Fan Yang 023; Xia Hu 001 (CoRR, 2023)

SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. - Yu-Neng Chuang; Ruixiang Tang; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)

LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. - Jiayi Yuan 001; Ruixiang Tang; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Bing Yin; Xia Hu 001 (CoRR, 2023)

A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation. - Ruixiang Tang; Wenbing Chen; Yousong Wu; Hongbin Xiong; Banfu Yan (Sensors, 2023)

Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. - Ruixiang Tang; Qizhang Feng; Ninghao Liu; Fan Yang 023; Xia Hu 001 (SIGKDD Explor., 2023)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents. - Wenyue Hua; Xianjun Yang; Mingyu Jin; Zelong Li; Wei Cheng 002; Ruixiang Tang; Yongfeng Zhang (EMNLP (Findings), 2024)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. - Guanchu Wang; Yu-Neng Chuang; Ruixiang Tang; Shaochen Zhong; Jiayi Yuan 001; Hongye Jin; Zirui Liu 001; Vipin Chaudhary; Shuai Xu; James Caverlee; Xia Ben Hu (EMNLP, 2024)

Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. - Yuqing Zhou; Ruixiang Tang; Ziyu Yao 002; Ziwei Zhu 001 (EMNLP (Findings), 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 001 (NAACL-HLT (Findings), 2024)

Large Language Models As Faithful Explainers. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Ruixiang Tang; Fan Yang 023; Mengnan Du; Xuanting Cai; Xia Hu 001 (CoRR, 2024)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. - Qingcheng Zeng; Mingyu Jin; Qinkai Yu; Zhenting Wang; Wenyue Hua; Zihao Zhou; Guangyan Sun; Yanda Meng; Shiqing Ma; Qifan Wang 001; Felix Juefei-Xu; Kaize Ding; et al. (CoRR, 2024)

Assessing and Enhancing Large Language Models in Rare Disease Question-answering. - Guanchu Wang; Junhao Ran; Ruixiang Tang; Chia-Yuan Chang 002; Yu-Neng Chuang; Zirui Liu 001; Vladimir Braverman; Zhandong Liu; Xia Hu 001 (CoRR, 2024)

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. - Taowen Wang; Dongfang Liu; James Chenhao Liang; Wenhao Yang; Qifan Wang 001; Cheng Han 001; Jiebo Luo 001; Ruixiang Tang (CoRR, 2024)

SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. - Yu-Neng Chuang; Ruixiang Tang; Xiaoqian Jiang; Xia Hu 001 (J. Biomed. Informatics, 2024)

The Science of Detecting LLM-Generated Text. - Ruixiang Tang; Yu-Neng Chuang; Xia Hu 001 (Commun. ACM, 2024)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Shaochen Zhong; Bing Yin; Xia Ben Hu (ACM Trans. Knowl. Discov. Data, 2024)

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. - Huaizhi Ge; Yiming Li; Qifan Wang 001; Yongfeng Zhang; Ruixiang Tang (ACL (1), 2025)

Disentangling Memory and Reasoning Ability in Large Language Models. - Mingyu Jin; Weidi Luo; Sitao Cheng; Xinyi Wang 003; Wenyue Hua; Ruixiang Tang; William Yang Wang; Yongfeng Zhang (ACL (1), 2025)

Re-Imagining Multimodal Instruction Tuning: A Representation View. - Yiyang Liu 003; James Chenhao Liang; Ruixiang Tang; Yugyung Lee; Majid Rabbani; Sohail A. Dianat; Raghuveer Rao; Lifu Huang; Dongfang Liu; Qifan Wang 001; Cheng Han 001 (ICLR, 2025)

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension. - Yanbo Fang; Ruixiang Tang (CoRR, 2025)

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 001; Fan Xia; Pengfei Liu; Zhandong Liu; Xia Ben Hu (CoRR, 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 001; Yongfeng Zhang (CoRR, 2025)

Can Large Vision-Language Models Detect Images Copyright Infringement from GenAI? - Qipan Xu; Zhenting Wang; Xiaoxiao He; Ligong Han; Ruixiang Tang (CoRR, 2025)

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 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 001 (CoRR, 2025)

M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models. - Yanshu Li; Hongyang He; Yi Cao; Qisen Cheng; Xiang Fu; Ruixiang Tang (CoRR, 2025)

CAMA: Enhancing Multimodal In-Context Learning with Context-Aware Modulated Attention. - Yanshu Li; JianJiang Yang; Bozheng Li; Ruixiang Tang (CoRR, 2025)

TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration. - Yanshu Li; Tian Yun 001; Jianjiang Yang; Pinyuan Feng; Jinfa Huang; Ruixiang Tang (CoRR, 2025)

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models. - Zihao Li; Ruixiang Tang; Lu Cheng 001; Shuaiqiang Wang; Dawei Yin; Mengnan Du (SIGKDD Explor., 2025)

A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis. - Mingda Zhang; Na Zhao; Jianglong Qin; Guoyu Ye; Ruixiang Tang (CoRR, 2025)

DCFFSNet: Deep Connectivity Feature Fusion Separation Network for Medical Image Segmentation. - Xun Ye; Ruixiang Tang; Mingda Zhang; Jianglong Qin (CoRR, 2025)

A Semantic Segmentation Algorithm for Pleural Effusion Based on DBIF-AUNet. - Ruixiang Tang; Jianglong Qin; Mingda Zhang; Yan Song; Yi Wu; Wei Wu (CoRR, 2025)

CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. - Yanshu Li; Jianjiang Yang; Zhennan Shen; Ligong Han; Haoyan Xu; Ruixiang Tang (CoRR, 2025)