| Class-incremental learning via dual augmentation F Zhu, Z Cheng, X Zhang, C Liu Advances in neural information processing systems 34, 14306-14318, 2021 | 198 | 2021 |
| Rethinking confidence calibration for failure prediction F Zhu, Z Cheng, XY Zhang, CL Liu European conference on computer vision, 518-536, 2022 | 52 | 2022 |
| Openmix: Exploring outlier samples for misclassification detection F Zhu, Z Cheng, XY Zhang, CL Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 44 | 2023 |
| Adversarial training with distribution normalization and margin balance Z Cheng, F Zhu, XY Zhang, CL Liu Pattern Recognition 136, 109182, 2023 | 20 | 2023 |
| 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 | 19 | 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 | 14 | 2023 |
| Towards trustworthy dataset distillation S Ma, F Zhu, Z Cheng, XY Zhang Pattern Recognition 157, 110875, 2025 | 12 | 2025 |
| Revisiting confidence estimation: Towards reliable failure prediction F Zhu, XY Zhang, Z Cheng, CL Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (5), 3370-3387, 2023 | 10 | 2023 |
| Unified classification and rejection: A one-versus-all framework Z Cheng, XY Zhang, CL Liu Machine Intelligence Research 21 (5), 870-887, 2024 | 9 | 2024 |
| Imitating the oracle: Towards calibrated model for class incremental learning F Zhu, Z Cheng, XY Zhang, CL Liu Neural Networks 164, 38-48, 2023 | 6 | 2023 |
| Breaking the limits of reliable prediction via generated data Z Cheng, F Zhu, XY Zhang, CL Liu International Journal of Computer Vision, 1-27, 2024 | 1 | 2024 |
| Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts F Zeng, Z Cheng, F Zhu, XY Zhang arXiv preprint arXiv:2409.04796, 2024 | 1 | 2024 |
| Pass++: A dual bias reduction framework for non-exemplar class-incremental learning F Zhu, XY Zhang, Z Cheng, CL Liu arXiv preprint arXiv:2407.14029, 2024 | 1 | 2024 |
| Rcl: Reliable continual learning for unified failure detection F Zhu, Z Cheng, XY Zhang, CL Liu, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization Z Cheng, F Zhu, XY Zhang, CL Liu International Conference on Pattern Recognition, 423-439, 2025 | | 2025 |
| Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection F Zeng, Z Cheng, F Zhu, H Wei, XY Zhang The Thirteenth International Conference on Learning Representations, 0 | | |
| 面向开放环境的机器学习理论研究进展 X YUAN, X ZHANG, X LIU, Z CHENG, C LIU | | |
