Tang, Ruixiang

11 publications

ICCV 2025 Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics Taowen Wang, Cheng Han, James Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, Ruixiang Tang

ICCV 2025 Hallucinatory Image Tokens: A Training-Free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs Liwei Che, Tony Qingze Liu, Jing Jia, Weiyi Qin, Ruixiang Tang, Vladimir Pavlovic

ICML 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, Yongfeng Zhang

ICLR 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

ICMLW 2024 TrustAgent: Towards Safe and Trustworthy LLM-Based Agents Through Agent Constitution Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

ECML-PKDD 2023 Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection Ruixiang Tang, Mengnan Du, Xia Hu

NeurIPS 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

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

ICLR 2022 DEGREE: Decomposition Based Explanation for Graph Neural Networks Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu

AAAI 2022 Towards Debiasing DNN Models from Spurious Feature Influence Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu

NeurIPS 2021 Fairness via Representation Neutralization Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Awadallah, Xia Hu