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Ruixiang Tang
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- affiliation: Rutgers University, Piscataway, NJ, USA
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2020 – today
- 2024
- [j7]Ruixiang Tang
, Yu-Neng Chuang
The Science of Detecting LLM-Generated Text. Commun. ACM 67(4): 50-59 (2024) - [j6]Yu-Neng Chuang
SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization. J. Biomed. Informatics 151: 104606 (2024) - [j5]Jingfeng Yang
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data 18(6): 160:1-160:32 (2024) - [c18]Ruixiang Tang
Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. NAACL-HLT (Findings) 2024: 4061-4073 - [i25]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 abs/2402.04678 (2024) - [i24]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 abs/2403.00108 (2024) - [i23]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 abs/2407.11282 (2024) - [i22]Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu:
Assessing and Enhancing Large Language Models in Rare Disease Question-answering. CoRR abs/2408.08422 (2024) - [i21]Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu:
Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. CoRR abs/2409.17455 (2024) - 2023
- [j4]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): 3834 (2023) - [j3]Ruixiang Tang
Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. SIGKDD Explor. 25(1): 43-53 (2023) - [c17]Ruixiang Tang
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. ACL (Findings) 2023: 4645-4657 - [c16]Ruixiang Tang
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. CIKM 2023: 4315-4319 - [c15]Yu-Neng Chuang
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 2023: 5021-5025 - [c14]Ruixiang Tang
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. EMNLP (Findings) 2023: 15406-15418 - [c13]Shenghan Zhang
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI 2023: 268-275 - [c12]Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS 2023 - [c11]Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu:
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. NeurIPS 2023 - [c10]Ruixiang Tang
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. ECML/PKDD (6) 2023: 157-173 - [i20]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 abs/2302.09400 (2023) - [i19]Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu:
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR abs/2303.04360 (2023) - [i18]Ruixiang Tang, Yu-Neng Chuang, Xia Hu:
The Science of Detecting LLM-Generated Texts. CoRR abs/2303.07205 (2023) - [i17]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 abs/2303.10794 (2023) - [i16]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 abs/2303.11470 (2023) - [i15]Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization. CoRR abs/2303.13035 (2023) - [i14]Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu:
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability. CoRR abs/2303.16756 (2023) - [i13]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 abs/2304.13712 (2023) - [i12]Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu:
DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR abs/2305.12895 (2023) - [i11]Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR abs/2305.15265 (2023) - [i10]Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue:
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. CoRR abs/2305.17256 (2023) - [i9]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 abs/2309.01808 (2023) - [i8]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 abs/2310.13291 (2023) - [i7]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 abs/2310.18633 (2023) - 2022
- [j2]Ruixiang Tang
Defense Against Explanation Manipulation. Frontiers Big Data 5: 704203 (2022) - [j1]Fangsheng Wu
Understanding Social Biases Behind Location Names in Contextual Word Embedding Models. IEEE Trans. Comput. Soc. Syst. 9(2): 458-468 (2022) - [c9]Mengnan Du, Ruixiang Tang
Towards Debiasing DNN Models from Spurious Feature Influence. AAAI 2022: 9521-9528 - [c8]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 - [c7]Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu:
DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR 2022 - [i6]Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu:
Mitigating Relational Bias on Knowledge Graphs. CoRR abs/2211.14489 (2022) - 2021
- [c6]Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu:
Fairness via Representation Neutralization. NeurIPS 2021: 12091-12103 - [c5]Ruixiang Tang
Mitigating Gender Bias in Captioning Systems. WWW 2021: 633-645 - [i5]Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Ben Hu:
Fairness via Representation Neutralization. CoRR abs/2106.12674 (2021) - [i4]Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu:
Defense Against Explanation Manipulation. CoRR abs/2111.04303 (2021) - 2020
- [c4]Chunze Lin, Ruixiang Tang
Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs. ISBI 2020: 795-798 - [c3]Ruixiang Tang
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. KDD 2020: 218-228 - [i3]Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu:
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. CoRR abs/2006.08131 (2020) - [i2]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu:
Mitigating Gender Bias in Captioning Systems. CoRR abs/2006.08315 (2020) - [i1]Ruixiang Tang, Mengnan Du, Xia Hu:
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection. CoRR abs/2011.08960 (2020)
2010 – 2019
- 2019
- [c2]Ruixiang Tang
Classification of chest CT using case-level weak supervision. Medical Imaging: Computer-Aided Diagnosis 2019: 1095017 - [c1]Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu
Breast Mass Detection in Mammograms via Blending Adversarial Learning. SASHIMI@MICCAI 2019: 52-61
Coauthor Index
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last updated on 2024-10-25 20:15 CEST by the dblp team
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