| Vos: Learning what you don't know by virtual outlier synthesis X Du, Z Wang, M Cai, Y Li International Conference on Learning Representations, 2022 | 485 | 2022 |
| Openood: Benchmarking generalized out-of-distribution detection J Yang, P Wang, D Zou, Z Zhou, K Ding, W Peng, H Wang, G Chen, B Li, ... Advances in Neural Information Processing Systems 35, 32598-32611, 2022 | 425 | 2022 |
| Openood v1. 5: Enhanced benchmark for out-of-distribution detection J Zhang, J Yang, P Wang, H Wang, Y Lin, H Zhang, Y Sun, X Du, Y Li, ... Journal of Data-centric Machine Learning Research, 2023 | 236 | 2023 |
| Decade progress of palmprint recognition: A brief survey D Zhong, X Du, K Zhong Neurocomputing 328, 16-28, 2019 | 190 | 2019 |
| Non-parametric outlier synthesis L Tao, X Du, X Zhu, Y Li International Conference on Learning Representations, 2023 | 187 | 2023 |
| Unknown-aware object detection: Learning what you don't know from videos in the wild X Du, X Wang, G Gozum, Y Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 147 | 2022 |
| Dream the impossible: Outlier imagination with diffusion models X Du, Y Sun, J Zhu, Y Li Advances in Neural Information Processing Systems 36, 60878-60901, 2023 | 107 | 2023 |
| Siren: Shaping representations for detecting out-of-distribution objects X Du, G Gozum, Y Ming, Y Li Advances in neural information processing systems 35, 20434-20449, 2022 | 101 | 2022 |
| A hand-based multi-biometrics via deep hashing network and biometric graph matching D Zhong, H Shao, X Du IEEE Transactions on Information Forensics and Security 14 (12), 3140-3150, 2019 | 100 | 2019 |
| SHREC 2020: Classification in cryo-electron tomograms I Gubins, ML Chaillet, G van Der Schot, RC Veltkamp, F Förster, Y Hao, ... Computers & Graphics 91, 279-289, 2020 | 81 | 2020 |
| Haloscope: Harnessing unlabeled llm generations for hallucination detection X Du, C Xiao, S Li Advances in Neural Information Processing Systems 37, 102948-102972, 2024 | 78 | 2024 |
| Palmprint recognition using siamese network D Zhong, Y Yang, X Du 13th Conference of Biometric Recognition, CCBR 2018, 48-55, 2018 | 75 | 2018 |
| Feed two birds with one scone: Exploiting wild data for both out-of-distribution generalization and detection H Bai, G Canal, X Du, J Kwon, RD Nowak, Y Li International Conference on Machine Learning, 1454-1471, 2023 | 74 | 2023 |
| Few-shot learning for palmprint recognition via meta-siamese network H Shao, D Zhong, X Du, S Du, RNJ Veldhuis IEEE transactions on instrumentation and measurement 70, 1-12, 2021 | 71 | 2021 |
| Towards unknown-aware learning with virtual outlier synthesis X Du, Z Wang, M Cai, S Li International Conference on Learning Representations 1 (3), 5, 2022 | 67 | 2022 |
| Node classification on graphs with few-shot novel labels via meta transformed network embedding L Lan, P Wang, X Du, K Song, J Tao, X Guan Advances in Neural Information Processing Systems 33, 16520-16531, 2020 | 65 | 2020 |
| Efficient deep palmprint recognition via distilled hashing coding H Shao, D Zhong, X Du Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 61 | 2019 |
| Deep distillation hashing for unconstrained palmprint recognition H Shao, D Zhong, X Du IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 60 | 2021 |
| Cross-domain palmprint recognition via regularized adversarial domain adaptive hashing X Du, D Zhong, H Shao IEEE Transactions on Circuits and Systems for Video Technology 31 (6), 2372-2385, 2020 | 47 | 2020 |
| How Does Unlabeled Data Provably Help Out-of-Distribution Detection? X Du, Z Fang, I Diakonikolas, Y Li International Conference on Learning Representations, 2024 | 43 | 2024 |
Sharon LiAssociate Professor, University of Wisconsin-MadisonVerified email at cs.wisc.edu
