| Prototype augmentation and self-supervision for incremental learning F Zhu, XY Zhang, C Wang, F Yin, CL Liu CVPR 2021 (Oral), 5871-5880, 2021 | 301 | 2021 |
| Class-incremental learning via dual augmentation F Zhu, Z Cheng, XY Zhang, C Liu Advances in Neural Information Processing Systems 34, 14306-14318, 2021 | 136 | 2021 |
| Decoding lip language using triboelectric sensors with deep learning Y Lu, H Tian, J Cheng, F Zhu, B Liu, S Wei, L Ji, ZL Wang Nature communications 13 (1), 1401, 2022 | 107 | 2022 |
| Bioprinting of stem cells: Interplay of bioprinting process, bioinks, and stem cell properties S Ding, L Feng, J Wu, F Zhu, Z Tan, R Yao ACS Biomaterials Science & Engineering 4 (9), 3108-3124, 2018 | 41 | 2018 |
| Rethinking Confidence Calibration for Failure Prediction F Zhu, Z Cheng, XY Zhang, C Liu ECCV 2022, 2022 | 27 | 2022 |
| OpenMix: Exploring Outlier Samples for Misclassification Detection F Zhu, Z Cheng, XY Zhang, CL Liu CVPR 2023 (Highlight), 2023 | 17 | 2023 |
| Adversarial training with distribution normalization and margin balance Z Cheng, F Zhu, XY Zhang, CL Liu Pattern Recognition 136, 109182, 2023 | 14 | 2023 |
| Learning by seeing more classes F Zhu, XY Zhang, RQ Wang, CL Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7477-7493, 2022 | 11 | 2022 |
| Open-world machine learning: A review and new outlooks F Zhu, S Ma, Z Cheng, XY Zhang, Z Zhang, CL Liu arXiv preprint arXiv:2403.01759, 2024 | 8 | 2024 |
| Average of pruning: Improving performance and stability of out-of-distribution detection Z Cheng, F Zhu, XY Zhang, CL Liu arXiv preprint arXiv:2303.01201, 2023 | 8 | 2023 |
| Towards trustworthy dataset distillation S Ma, F Zhu, Z Cheng, XY Zhang arXiv preprint arXiv:2307.09165, 2023 | 7 | 2023 |
| Training with scaled logits to alleviate class-level over-fitting in few-shot learning RQ Wang, F Zhu, XY Zhang, CL Liu Neurocomputing 522, 142-151, 2023 | 7 | 2023 |
| Calibration for non-exemplar based class-incremental learning F Zhu, XY Zhang, CL Liu ICME 2021 (Oral), 1-6, 2021 | 7 | 2021 |
| Honeybees prefer to steer on a smooth wall with tetrapod gaits J Zhao, F Zhu, S Yan Journal of Insect Science 18 (2), 45, 2018 | 6 | 2018 |
| PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning H Guo, F Zhu, W Liu, XY Zhang, CL Liu ECCV 2024, 2024 | 5* | 2024 |
| Active Generalized Category Discovery S Ma, F Zhu, Z Zhong, XY Zhang, CL Liu CVPR 2024, 2024 | 3 | 2024 |
| Class incremental learning with self-supervised pre-training and prototype learning W Liu, X Wu, F Zhu, M Yu, C Wang, CL Liu arXiv preprint arXiv:2308.02346, 2023 | 3 | 2023 |
| 类别增量学习研究进展和性能评价 朱飞， 张煦尧， 刘成林 自动化学报 49 (3), 635-660, 2023 | 3 | 2023 |
| Imitating the Oracle: Towards Calibrated Model for Class Incremental Learning F Zhu, Z Cheng, XY Zhang, CL Liu Neural Networks, 2023 | 3 | 2023 |
| Revisiting Confidence Estimation: Towards Reliable Failure Prediction F Zhu, XY Zhang, Z Cheng, CL Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 2 | 2023 |
Xu-Yao ZhangInstitute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
