Ruixiang Tang

According to our database, Ruixiang Tang authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

Large Language Models As Faithful Explainers.

Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Fan Yang, Mengnan Du, Xuanting Cai, Xia Hu

CoRR, 2024

2023

Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking.

Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu

SIGKDD Explor., 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

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.

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

CoRR, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.

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

CoRR, 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 Ben Hu

CoRR, 2023

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

Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu

CoRR, 2023

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

Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu

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

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, Xia Hu

CoRR, 2023

The Science of Detecting LLM-Generated Texts.

Ruixiang Tang, Yu-Neng Chuang, Xia Hu

CoRR, 2023

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu

CoRR, 2023

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

Ruixiang Tang, Mengnan Du, Xia Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 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, Xia Hu

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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 Trans. Comput. Soc. Syst., 2022

Defense Against Explanation Manipulation.

Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu

Frontiers Big Data, 2022

Mitigating Relational Bias on Knowledge Graphs.

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

CoRR, 2022

DEGREE: Decomposition Based Explanation for Graph Neural Networks.

Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.

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

Proceedings of the AMIA 2022, 2022

Towards Debiasing DNN Models from Spurious Feature Influence.

Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Mitigating Gender Bias in Captioning Systems.

Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fairness via Representation Neutralization.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection.

Ruixiang Tang, Mengnan Du, Xia Hu

CoRR, 2020

Mitigating Gender Bias in Captioning Systems.

Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu

CoRR, 2020

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.

Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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, Jie Zhou

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Classification of chest CT using case-level weak supervision.

Ruixiang Tang, Fakrul Islam Tushar, Songyue Han, Rui Hou, Geoffrey D. Rubin, Joseph Y. Lo

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019