Multi-semantic long-range dependencies capturing for efficient video representation learning. - Jinhao Duan; Hua Xu; Xiaozhu Lin; Shangchao Zhu; Yuanze Du (Image Vis. Comput., 2020)

Design and Optimization of the New Cable-Driven Ankle Rehabilitation Equipment. - Ye Huo; Jinhao Duan; Zhufeng Shao; Hanqing Liu; Chunjiao Liu (ICIRA (1), 2021)

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. - Hao Cheng 015; Jinhao Duan; Hui Li; Jiahang Cao; Ping Wang; Lyutianyang Zhang; Jize Zhang; Kaidi Xu; Renjing Xu (BMVC, 2023)

Semantic Adversarial Attacks via Diffusion Models. - Chenan Wang; Jinhao Duan; Chaowei Xiao; Edward Kim 006; Matthew C. Stamm; Kaidi Xu (BMVC, 2023)

Design Analysis of a Cable-Driven Parallel Robot with Parallel Cables for Ship Side Painting. - Jinhao Duan; Zhufeng Shao; Hanqing Liu; Zhaokun Zhang; Yujia Wang; Haili Zhao (CACRE, 2023)

Reachability Analysis of a Rigid-Flexible Cable Robot for Interior Coating of Tanker Ships. - Hanqing Liu; Jinhao Duan; Zhufeng Shao; Zhaokun Zhang; Jing Rao (CACRE, 2023)

Are Diffusion Models Vulnerable to Membership Inference Attacks? - Jinhao Duan; Fei Kong; Shiqi Wang 002; Xiaoshuang Shi; Kaidi Xu (ICML, 2023)

Improve Video Representation with Temporal Adversarial Augmentation. - Jinhao Duan; Quanfu Fan; Hao Cheng 015; Xiaoshuang Shi; Kaidi Xu (IJCAI, 2023)

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. - Zhengyue Zhao; Jinhao Duan; Xing Hu 001; Kaidi Xu; Chenan Wang; Rui Zhang 040; Zidong Du; Qi Guo 001; Yunji Chen (CoRR, 2023)

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training. - Pucheng Dang; Xing Hu 001; Kaidi Xu; Jinhao Duan; Di Huang; Husheng Han; Rui Zhang 040; Zidong Du; Qi Guo 001; Yunji Chen (CoRR, 2023)

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. - Jinhao Duan; Hao Cheng 015; Shiqi Wang 002; Chenan Wang; Alex Zavalny; Renjing Xu; Bhavya Kailkhura; Kaidi Xu (CoRR, 2023)

Exposing the Fake: Effective Diffusion-Generated Images Detection. - Ruipeng Ma; Jinhao Duan; Fei Kong; Xiaoshuang Shi; Kaidi Xu (CoRR, 2023)

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. - Hao Cheng 015; Jinhao Duan; Hui Li; Lyutianyang Zhang; Jiahang Cao; Ping Wang; Jize Zhang; Kaidi Xu; Renjing Xu (CoRR, 2023)

ACT: Adversarial Consistency Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2023)

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly. - Yifan Yao; Jinhao Duan; Kaidi Xu; Yuanfang Cai; Eric Sun; Yue Zhang (CoRR, 2023)

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. - Jinhao Duan; Hao Cheng 015; Shiqi Wang 002; Alex Zavalny; Chenan Wang; Renjing Xu; Bhavya Kailkhura; Kaidi Xu (ACL (1), 2024)

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CVPR, 2024)

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? - Zhengyue Zhao; Jinhao Duan; Kaidi Xu; Chenan Wang; Rui Zhang 040; Zidong Du; Qi Guo 001; Xing Hu 001 (CVPR, 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. - Hao Cheng 015; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (ECCV (59), 2024)

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. - Zhiyuan Wang; Jinhao Duan; Lu Cheng; Yue Zhang; Qingni Wang; Xiaoshuang Shi; Kaidi Xu; Heng Tao Shen; Xiaofeng Zhu 001 (EMNLP (Findings), 2024)

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. - Fei Kong; Jinhao Duan; Ruipeng Ma; Heng Tao Shen; Xiaoshuang Shi; Xiaofeng Zhu 001; Kaidi Xu (ICLR, 2024)

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. - Junyuan Hong; Jinhao Duan; Chenhui Zhang; Zhangheng Li; Chulin Xie; Kelsey Lieberman; James Diffenderfer; Brian R. Bartoldson; Ajay Kumar Jaiswal; Kaidi Xu; Bhavya Kailkhura; Dan Hendrycks; et al. (ICML, 2024)

ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. - Jinhao Duan; Shiqi Wang 002; James Diffenderfer; Lichao Sun 001; Tianlong Chen 001; Bhavya Kailkhura; Kaidi Xu (NAACL-HLT, 2024)

GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations. - Jinhao Duan; Renming Zhang; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Elias Stengel-Eskin; Mohit Bansal; Tianlong Chen 001; Kaidi Xu (NeurIPS, 2024)

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. - Jinhao Duan; Renming Zhang; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Elias Stengel-Eskin; Mohit Bansal; Tianlong Chen 001; Kaidi Xu (CoRR, 2024)

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. - Zhiyuan Wang; Jinhao Duan; Chenxi Yuan; Qingyu Chen 001; Tianlong Chen 001; Huaxiu Yao; Yue Zhang; Ren Wang 008; Kaidi Xu; Xiaoshuang Shi (CoRR, 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. - Hao Cheng 015; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (CoRR, 2024)

Torque Resistance Analysis and Dynamic Trajectory Planning for 3-DOF Cable Suspended Parallel Robot With Parallelogram Cable Loops. - Hanqing Liu; Jinhao Duan; Zhufeng Shao; Stéphane Caro (IEEE Robotics Autom. Lett., 2024)

DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation. - Wenhao Hu; Jinhao Duan; Chunchen Wei; Li Zhang; Yue Zhang; Kaidi Xu (ACL (Findings), 2025)

GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. - Jinhao Duan; Xinyu Zhao; Zhuoxuan Zhang; Eunhye Grace Ko; Lily Boddy; Chenan Wang; Tianhao Li; Alexander Rasgon; Junyuan Hong; Min Kyung Lee; Chenxi Yuan; Qi Long; et al. (NAACL (Long Papers), 2025)

Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. - Zhiyuan Wang; Jinhao Duan; Chenxi Yuan; Qingyu Chen 001; Tianlong Chen 001; Yue Zhang; Ren Wang 008; Xiaoshuang Shi; Kaidi Xu (Eng. Appl. Artif. Intell., 2025)

Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak. - Erjia Xiao; Hao Cheng 015; Jing Shao; Jinhao Duan; Kaidi Xu; Le Yang; Jindong Gu; Renjing Xu (CoRR, 2025)

TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention. - Jinhao Duan; Fei Kong; Hao Cheng 015; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2025)

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making. - Jinhao Duan; James Diffenderfer; Sandeep Madireddy; Tianlong Chen 001; Bhavya Kailkhura; Kaidi Xu (CoRR, 2025)

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. - Zhiyuan Wang; Jinhao Duan; Qingni Wang; Xiaofeng Zhu 001; Tianlong Chen 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2025)

LRR-Bench: Left, Right or Rotate? Vision-Language models Still Struggle With Spatial Understanding Tasks. - Fei Kong; Jinhao Duan; Kaidi Xu; Zhenhua Guo 001; Xiaofeng Zhu 001; Xiaoshuang Shi (CoRR, 2025)