| Class-incremental learning via dual augmentation F Zhu, Z Cheng, XY Zhang, C Liu Advances in Neural Information Processing Systems 34, 14306-14318, 2021 | 145 | 2021 |
| Rethinking confidence calibration for failure prediction F Zhu, Z Cheng, XY Zhang, CL Liu European Conference on Computer Vision, 518-536, 2022 | 29 | 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 | 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 |
| 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 | 9 | 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 | 9 | 2023 |
| Towards trustworthy dataset distillation S Ma, F Zhu, Z Cheng, XY Zhang arXiv preprint arXiv:2307.09165, 2023 | 7 | 2023 |
| Unified classification and rejection: A one-versus-all framework Z Cheng, XY Zhang, CL Liu arXiv preprint arXiv:2311.13355, 2023 | 5 | 2023 |
| Imitating the oracle: Towards calibrated model for class incremental learning F Zhu, Z Cheng, XY Zhang, CL Liu Neural Networks 164, 38-48, 2023 | 4 | 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 | 3 | 2023 |
| 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 | | 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 | | 2024 |
