Jinhao Duan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
13
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. | Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu |
| 2026 | ACL | IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation. | Haozhi Fan, Jinhao Duan, Kaidi Xu |
| 2026 | EACL | Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations. | Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen |
| 2026 | IWQoS | The Imitation Game: Using Large Language Models to Disrupt Chinese Chat-Based Cybercrime. | Yifan Yao, Baojuan Wang, Jinhao Duan, Kaidi Xu, ChuanKai Guo, Zhibo Eric Sun, Yue Zhang |
| 2025 | ACL | 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 |
| 2025 | EMNLP | Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs. | Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu |
| 2025 | ICCV | TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention. | Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2025 | NAACL | 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, Ying Ding, Tianlong Chen, Kaidi Xu |
| 2024 | ACL | Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. | Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu |
| 2024 | CVPR | ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. | Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2024 | CVPR | Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? | Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu |
| 2024 | ECCV | Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. | Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | 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, Kaidi Xu |
| 2024 | ICML | 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, Dawn Song, Zhangyang Wang, Bo Li |
| 2024 | NAACL | ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. | Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu |
| 2023 | BMVC | RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. | Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu |
| 2023 | BMVC | Semantic Adversarial Attacks via Diffusion Models. | Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu |
| 2023 | ICML | Are Diffusion Models Vulnerable to Membership Inference Attacks? | Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu |
| 2023 | IJCAI | Improve Video Representation with Temporal Adversarial Augmentation. | Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu |