Jinhao Duan - RankMe

54 papers A* 10A 2Journal 32Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs. CoRR Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen
2026	A*	`conf`	COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. AAAI Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2026	—	`conf`	Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations. EACL (Findings) Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen
2025	J	`jnl`	COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. CoRR Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	Conformal Lesion Segmentation for 3D Medical Images. CoRR Binyu Tan, Zhiyuan Wang, Jinhao Duan, Kaidi Xu, Heng Tao Shen, Xiaoshuang Shi, Fumin Shen
2025	—	`conf`	DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation. ACL (Findings) Wenhao Hu, Jinhao Duan, Chunchen Wei, Li Zhang, Yue Zhang, Kaidi Xu
2025	J	`jnl`	DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation. CoRR Wenhao Hu, Jinhao Duan, Chunchen Wei, Li Zhang, Yue Zhang, Kaidi Xu
2025	—	`conf`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. NAACL (Long Papers) 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, Ying Ding, Tianlong Chen, Kaidi Xu
2025	J	`jnl`	GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. CoRR 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, Ying Ding, Tianlong Chen, Kaidi Xu
2025	J	`jnl`	LRR-Bench: Left, Right or Rotate? Vision-Language models Still Struggle With Spatial Understanding Tasks. CoRR Fei Kong, Jinhao Duan, Kaidi Xu, Zhenhua Guo, Xiaofeng Zhu, Xiaoshuang Shi
2025	A*	`conf`	Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs. EMNLP Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu
2025	J	`jnl`	Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs. CoRR Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu
2025	J	`jnl`	The Imitation Game: Using Large Language Models as Chatbots to Combat Chat-Based Cybercrimes. CoRR Yifan Yao, Baojuan Wang, Jinhao Duan, Kaidi Xu, ChuanKai Guo, Zhibo Eric Sun, Yue Zhang
2025	A*	`conf`	Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models. ACM Multimedia Hao Cheng, Erjia Xiao, Jiayan Yang, Jinhao Duan, Yichi Wang, Jiahang Cao, Qiang Zhang, Le Yang, Kaidi Xu, Jindong Gu, Renjing Xu
2025	J	`jnl`	TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention. CoRR Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025	J	`jnl`	Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak. CoRR Erjia Xiao, Hao Cheng, Jing Shao, Jinhao Duan, Kaidi Xu, Le Yang, Jindong Gu, Renjing Xu
2025	J	`jnl`	UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making. CoRR Jinhao Duan, James Diffenderfer, Sandeep Madireddy, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu
2025	J	`jnl`	Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. Eng. Appl. Artif. Intell. Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Yue Zhang, Ren Wang, Xiaoshuang Shi, Kaidi Xu
2024	J	`jnl`	A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly. High Confid. Comput. Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, Yue Zhang
2024	A*	`conf`	ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. CVPR Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2024	A*	`conf`	An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. ICLR Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu
2024	A*	`conf`	Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu
2024	—	`conf`	ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. EMNLP (Findings) Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu
2024	J	`jnl`	ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. CoRR Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2024	A*	`conf`	Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. ICML 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, Dawn Song, Zhangyang Wang, Bo Li
2024	J	`jnl`	Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
2024	A*	`conf`	GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations. NeurIPS Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024	J	`jnl`	GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024	—	`conf`	ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. NAACL-HLT Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu
2024	—	`conf`	Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. ACL (1) Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu
2024	J	`jnl`	Torque Resistance Analysis and Dynamic Trajectory Planning for 3-DOF Cable Suspended Parallel Robot With Parallelogram Cable Loops. IEEE Robotics Autom. Lett. Hanqing Liu, Jinhao Duan, Zhufeng Shao, Stéphane Caro
2024	J	`jnl`	Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. CoRR Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
2024	—	`conf`	Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. ECCV (59) Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu
2024	J	`jnl`	Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi
2023	J	`jnl`	A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly. CoRR Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Eric Sun, Yue Zhang
2023	J	`jnl`	ACT: Adversarial Consistency Models. CoRR Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. CoRR Fei Kong, Jinhao Duan, Ruipeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2023	A*	`conf`	Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Are Diffusion Models Vulnerable to Membership Inference Attacks? CoRR Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CoRR Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu
2023	—	`conf`	Design Analysis of a Cable-Driven Parallel Robot with Parallel Cables for Ship Side Painting. CACRE Jinhao Duan, Zhufeng Shao, Hanqing Liu, Zhaokun Zhang, Yujia Wang, Haili Zhao
2023	J	`jnl`	Exposing the Fake: Effective Diffusion-Generated Images Detection. CoRR Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training. CoRR Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
2023	A*	`conf`	Improve Video Representation with Temporal Adversarial Augmentation. IJCAI Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	Improve Video Representation with Temporal Adversarial Augmentation. CoRR Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
2023	J	`jnl`	RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. CoRR Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu
2023	A	`conf`	RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. BMVC Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu
2023	—	`conf`	Reachability Analysis of a Rigid-Flexible Cable Robot for Interior Coating of Tanker Ships. CACRE Hanqing Liu, Jinhao Duan, Zhufeng Shao, Zhaokun Zhang, Jing Rao
2023	A	`conf`	Semantic Adversarial Attacks via Diffusion Models. BMVC Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu
2023	J	`jnl`	Semantic Adversarial Attacks via Diffusion Models. CoRR Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu
2023	J	`jnl`	Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. CoRR Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu
2023	J	`jnl`	Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. CoRR Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
2021	—	`conf`	Design and Optimization of the New Cable-Driven Ankle Rehabilitation Equipment. ICIRA (1) Ye Huo, Jinhao Duan, Zhufeng Shao, Hanqing Liu, Chunjiao Liu
2020	J	`jnl`	Multi-semantic long-range dependencies capturing for efficient video representation learning. Image Vis. Comput. Jinhao Duan, Hua Xu, Xiaozhu Lin, Shangchao Zhu, Yuanze Du