Unlocking the Pre-Trained Model as a Dual-Alignment Calibrator for Post-Trained LLMs Beier Luo, Cheng Wang, Hongxin Wei, Sharon Li, Sean Du. arXiv preprint arXiv:2601.04277.
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Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping Jianxiong Zhang, Bing Guo, Yuming Jiang, Haobo Wang, Bo An, Sean Du. ICML 2026.
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VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation Seongheon Park, Changdae Oh, Hyeong Kyu Choi, Sean Du, Sharon Li. ACL 2026.
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Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities Changdae Oh, Seongheon Park, To Eun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Sean Du, Hamed Hassani, Paul Bogdan, Dawn Song, Sharon Li. ACL 2026.
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Teach AI What It Doesn't Know Sean Du. AI Magazine (AAAI 2026 New Faculty Highlights Track).
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Improving Neural Architecture Search by Minimizing Worst-Case Validation Loss Haochen Zhang, Xuefeng Du, Ruisi Zhang, Pengtao Xie. IEEE Transactions on Artificial Intelligence.
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Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis Leitian Tao, Xuefeng Du, Yixuan Li. NeurIPS 2025.
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How to Steer LLM Latents for Hallucination Detection? Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li. ICML 2025.
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Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li. ICML 2025.
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Challenges and Future Directions of Data-Centric AI Alignment Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li. ICML 2025.
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HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection Xuefeng Du, Chaowei Xiao, Yixuan Li. NeurIPS 2024.(Spotlight)
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Robust Palmprint Recognition via Multi-stage Noisy Label Selection and Correction Huikai Shao, Siyu Shi, Xuefeng Du, Dan Zeng, Dexing Zhong. IEEE Transactions on Image Processing.
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Exploring Transition States of Protein Conformational Changes via Out-of-Distribution Detection in the Hyperspherical Latent Space Bojun Liu, Jordan G Boysen, Ilona Christy Unarta, Xuefeng Du, Yixuan Li, Xuhui Huang. Nature Communications.
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Safety-Aware Fine-Tuning of Large Language Models Hyeong Kyu Choi, Xuefeng Du, Yixuan Li. NeurIPS 2024 Safe Generative AI Workshop.
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VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data Xuefeng Du, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor Carvalho, Emily Lawton, Yixuan Li, Jack W. Stokes. Manuscript 2024.
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The Ghanaian NLP Landscape: A First Look Sheriff Issaka, Zhaoyi Zhang, Mihir Heda, Keyi Wang, Yinka Ajibola, Ryan DeMar, Xuefeng Du. Manuscript 2024.
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Out-of-Distribution Learning with Human Feedback Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li. TMLR 2024.
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When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du, Yiyou sun, Yixuan Li. ICML 2024 (Poster)
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How Does Unlabeled Data Provably Help Out-of-distribution Detection? *Xuefeng Du*, *Zhen Fang*, Ilias Diakonikolas, Yixuan Li. ICLR 2024 (Poster)
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Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li. ICML 2023 (Poster)
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Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li. NeurIPS 2023 (Poster)
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Non-parametric Outlier Synthesis Leitian Tao, Xuefeng Du, Jerry Zhu, Yixuan Li. ICLR 2023 (Poster)
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Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang. Transactions on Machine Learning Research (TMLR) 2023
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SIREN: Shaping Representations for Detecting Out-of-distribution Objects Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li. NeurIPS 2022 (Poster)
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OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu. NeurIPS 2022, Datasets and Benchmarks Track
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Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li. CVPR 2022(Oral)
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VOS: Learning What You Don’t Know by Virtual Outliers Synthesis. Xuefeng Du, Eric Wang, Mu Cai, Yixuan Li. ICLR 2022 (Poster)
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Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. Pengtao Xie, Xuefeng Du. CVPR 2022 (Poster)
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Learning Diverse-Structured Networks for Adversarial Robustness. Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama. ICML 2021 (Poster)
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Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Min Xu. Bioinformatics
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How to save your annotation cost for Panoptic Segmentation?. Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li. AAAI 2021 (Poster)
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Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan. NeurIPS 2020 (Poster)
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Learning by Passing Tests, with Application to Neural Architecture Search. Xuefeng Du, Pengtao Xie. arXiv preprint arXiv:2011.15102 [PDF]
Skillearn: Machine Learning Inspired by Humans' Learning Skills. Pengtao Xie, Xuefeng Du, Hao Ban. arXiv preprint arXiv:2012.04863
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Small-Group Learning, with Application to Neural Architecture Search. Xuefeng Du, Pengtao Xie. arXiv preprint arXiv:2012.12502
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A deep biometric hash learning framework for three advanced hand‐based biometrics. Huikai Shao, Dexing Zhong, Xuefeng Du. IET Biometrics
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Few-shot learning for palmprint recognition via meta-siamese network. Huikai Shao, Dexing Zhong, Xuefeng Du, Shaoyi Du, Raymond NJ Veldhuis. IEEE transactions on instrumentation and measurement
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Deep distillation hashing for unconstrained palmprint recognition. Huikai Shao, Dexing Zhong, Xuefeng Du. IEEE transactions on instrumentation and measurement
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Cross-domain palmprint recognition via regularized adversarial domain adaptive hashing. Xuefeng Du, Dexing Zhong, Huikai Shao. IEEE Transactions on Circuits and Systems for Video Technology
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Towards efficient unconstrained palmprint recognition via deep distillation hashing. Huikai Shao, Dexing Zhong, Xuefeng Du. Manuscript 2020.
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Effective deep ensemble hashing for open-set palmprint recognition. Huikai Shao, Dexing Zhong, Xuefeng Du. Journal of Electronic Imaging.
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Cross-domain palmprint recognition based on transfer convolutional autoencoder. Huikai Shao, Dexing Zhong, Xuefeng Du. IEEE International Conference on Image Processing 2019.
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Building an active palmprint recognition system. Xuefeng Du, Dexing Zhong, Huikai Shao. IEEE International Conference on Image Processing 2019.
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Continual palmprint recognition without forgetting. Xuefeng Du, Dexing Zhong, Huikai Shao. IEEE International Conference on Image Processing 2019.
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Low-shot palmprint recognition based on meta-siamese network. Xuefeng Du, Dexing Zhong, Pengna Li. IEEE International Conference on Multimedia and Expo 2019.
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A hand-based multi-biometrics via deep hashing network and biometric graph matching. Dexing Zhong, Huikai Shao, Xuefeng Du. IEEE Transactions on Information Forensics and Security.
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Decade progress of palmprint recognition: A brief survey. Dexing Zhong, Xuefeng Du, Kuncai Zhong. Neurocomputing.
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Classification in cryo-electron tomograms. Ilja Gubins, Gijs van der Schot, Remco C Veltkamp, Friedrich Forster, Xuefeng Du, Xiangrui Zeng, Zhenxi Zhu, Lufan Chang, Min Xu, Emmanuel Moebel,
Antonio Martinez-Sanchez, Charles Kervrann, Tuan M Lai, Xusi Han, Genki
Terashi, Daisuke Kihara, Benjamin A Himes, Xiaohua Wan, Jingrong Zhang,
Shan Gao, Yu Hao, Zhilong Lv, Xiaohua Wan, Zhidong Yang, Zijun Ding,
Xuefeng Cui, Fa Zhang. Eurographics 2019.
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Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier. Siyuan Liu, Xuefeng Du,, Rong Xi, Fuya Xu, Xiangrui Zeng, Bo Zhou, Min Xu. BMVC 2019.
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Efficient deep palmprint recognition via distilled hashing coding. Huikai Shao, Dexing Zhong, Xuefeng Du. CVPR Workshop 2019.
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Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss. Xuefeng Du, Xiangrui Zeng, Bo Zhou, Alex Singh, Min Xu. BMVC 2019.
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Palm vein recognition with deep hashing network. Dexing Zhong, Shuming Liu, Wenting Wang, Xuefeng Du. Pattern Recognition and Computer Vision 2019.
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Palmprint recognition using siamese network. Dexing Zhong, Yuan Yang, Xuefeng Du. 13th Conference of Biometric Recognition, CCBR 2018.
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