| 2026 | AAAI | Teach AI What It Doesn't Know. | Xuefeng Du |
| 2025 | ICA3PP | IDSF : A Cross-Domain Data Trustworthy Sharing Framework for Large-Scale IIoT with Integrated DID and Enhanced PBFT Algorithm. | Meng Ren, Ruizhi Sun, Xuefeng Du, Yingjie Zhao, Fengqi Li |
| 2025 | ICML | Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach. | Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li |
| 2025 | ICML | Steer LLM Latents for Hallucination Detection. | Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li |
| 2025 | ICML | Position: Challenges and Future Directions of Data-Centric AI Alignment. | Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li |
| 2025 | IJCNN | Distributed Drones Marine Emergency Search And Rescue Framework based on Probability Prediction Deep Reinforcement Learning. | Fengqi Li, Yan Dong, Xuefeng Du, Jiayu Jin, Ning Tong, Fengqiang Xu, Deguang Wang |
| 2024 | ICLR | How Does Unlabeled Data Provably Help Out-of-Distribution Detection? | Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li |
| 2024 | ICML | When and How Does In-Distribution Label Help Out-of-Distribution Detection? | Xuefeng Du, Yiyou Sun, Yixuan Li |
| 2023 | ICLR | Non-parametric Outlier Synthesis. | Leitian Tao, Xuefeng Du, Jerry Zhu, Yixuan Li |
| 2023 | ICML | 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 |
| 2022 | CVPR | Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. | Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li |
| 2022 | CVPR | Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. | Pengtao Xie, Xuefeng Du |
| 2022 | ICLR | VOS: Learning What You Don't Know by Virtual Outlier Synthesis. | Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li |
| 2021 | AAAI | How to Save your Annotation Cost for Panoptic Segmentation? | Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li |
| 2021 | ICML | Learning Diverse-Structured Networks for Adversarial Robustness. | Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama |
| 2019 | BMVC | 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 |
| 2019 | BMVC | 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 |
| 2019 | CVPR | Efficient Deep Palmprint Recognition via Distilled Hashing Coding. | Huikai Shao, Dexing Zhong, Xuefeng Du |
| 2019 | ICIP | Continual Palmprint Recognition Without Forgetting. | Xuefeng Du, Dexing Zhong, Huikai Shao |
| 2019 | ICIP | Building an Active Palmprint Recognition System. | Xuefeng Du, Dexing Zhong, Huikai Shao |
| 2019 | ICIP | Cross-Domain Palmprint Recognition Based on Transfer Convolutional Autoencoder. | Huikai Shao, Dexing Zhong, Xuefeng Du |