Ruixiang Tang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 45

Top Topics

Context Sensitive

Top Venues

Publications

Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. J. Biomed. Informatics 151 (2024)
Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu
LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario. CoRR (2024)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu
Large Language Models As Faithful Explainers. CoRR (2024)
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
The Science of Detecting LLM-Generated Text. Commun. ACM 67 (4) (2024)
Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR (2024)
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Ruixiang Tang, Mengnan Du, Xia Hu
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. ECML/PKDD (6) (2023)
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI (2023)
Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. ACL (Findings) (2023)
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR (2023)
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR (2023)
Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. SIGKDD Explor. 25 (1) (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR (2023)
Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. CoRR (2023)
Ruixiang Tang, Wenbing Chen, Yousong Wu, Hongbin Xiong, Banfu Yan
A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation. Sensors 23 (8) (2023)
Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. CoRR (2023)
Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR (2023)
Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. CoRR (2023)
Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. CIKM (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM (2023)
Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR (2023)
Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. CoRR (2023)
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR (2023)
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
The Science of Detecting LLM-Generated Texts. CoRR (2023)
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR (2023)
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. CoRR (2023)
Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. EMNLP (Findings) (2023)
Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. CoRR (2023)
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
Mitigating Relational Bias on Knowledge Graphs. CoRR (2022)
Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu
Towards Debiasing DNN Models from Spurious Feature Influence. AAAI (2022)
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA (2022)
Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
Defense Against Explanation Manipulation. Frontiers Big Data 5 (2022)
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR (2022)
Fangsheng Wu, Mengnan Du, Chao Fan, Ruixiang Tang, Yang Yang, Ali Mostafavi, Xia Hu
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models. IEEE Trans. Comput. Soc. Syst. 9 (2) (2022)
Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
Defense Against Explanation Manipulation. CoRR (2021)
Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
Mitigating Gender Bias in Captioning Systems. WWW (2021)
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu
Fairness via Representation Neutralization. NeurIPS (2021)
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu
Fairness via Representation Neutralization. CoRR (2021)
Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. CoRR (2020)
Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu
Mitigating Gender Bias in Captioning Systems. CoRR (2020)
Ruixiang Tang, Mengnan Du, Xia Hu
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. CoRR (2020)
Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou
Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs. ISBI (2020)
Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. KDD (2020)
Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo
Classification of chest CT using case-level weak supervision. Medical Imaging: Computer-Aided Diagnosis (2019)
Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou
Breast Mass Detection in Mammograms via Blending Adversarial Learning. SASHIMI@MICCAI (2019)