| Class-incremental learning via dual augmentation F Zhu, Z Cheng, XY Zhang, C Liu Advances in Neural Information Processing Systems 34, 14306-14318, 2021 | 120 | 2021 |
| Rethinking confidence calibration for failure prediction F Zhu, Z Cheng, XY Zhang, CL Liu European Conference on Computer Vision, 518-536, 2022 | 20 | 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 |
| 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 | 7 | 2023 |
| Towards trustworthy dataset distillation S Ma, F Zhu, Z Cheng, XY Zhang arXiv preprint arXiv:2307.09165, 2023 | 4 | 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 | 3 | 2024 |
| Rethinking confidence calibration for failure prediction F Zhu, Z Cheng, XY Zhang, CL Liu arXiv preprint arXiv:2303.02970, 2023 | 3 | 2023 |
| Unified Classification and Rejection: A One-versus-All Framework Z Cheng, XY Zhang, CL Liu arXiv preprint arXiv:2311.13355, 2023 | 2 | 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 | 2 | 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 | 1 | 2023 |
