| Weakly supervised low-rank representation for hyperspectral anomaly detection W Xie, X Zhang, Y Li, J Lei, J Li, Q Du IEEE Transactions on Cybernetics 51 (8), 3889-3900, 2021 | 73 | 2021 |
| Background learning based on target suppression constraint for hyperspectral target detection W Xie, X Zhang, Y Li, K Wang, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 66 | 2020 |
| Algorithm/hardware codesign for real-time on-satellite CNN-based ship detection in SAR imagery G Yang, J Lei, W Xie, Z Fang, Y Li, J Wang, X Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022 | 29 | 2022 |
| Filter pruning via learned representation median in the frequency domain X Zhang, W Xie, Y Li, J Lei, Q Du IEEE Transactions on Cybernetics 53 (5), 3165-3175, 2021 | 25 | 2021 |
| Reaf: Remembering enhancement and entropy-based asymptotic forgetting for filter pruning X Zhang, W Xie, Y Li, K Jiang, L Fang IEEE Transactions on Image Processing, 2023 | 9 | 2023 |
| Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning X Zhang, J Du, Y Li, W Xie, JT Zhou CVPR 2024, 2023 | 8 | 2023 |
| Co-compression via superior gene for remote sensing scene classification W Xie, X Fan, X Zhang, Y Li, M Sheng, L Fang IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023 | 8 | 2023 |
| A Model-Driven Deep Mixture Network for Robust Hyperspectral Anomaly Detection Y Li, K Jiang, W Xie, J Lei, X Zhang, Q Du IEEE Transactions on Geoscience and Remote Sensing, 2023 | 5 | 2023 |
| Rank-aware generative adversarial network for hyperspectral band selection X Zhang, W Xie, Y Li, J Lei, Q Du, G Yang IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 3 | 2022 |
| Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment J Du, X Zhang, J Hu, W Huang, JT Zhou NeurIPS 2024 (Spotlight), 2024 | 1 | 2024 |
| Breaking class barriers: Efficient dataset distillation via inter-class feature compensator X Zhang, J Du, P Liu, JT Zhou ICLR 2025, 2024 | 1 | 2024 |
| Block-Wise Partner Learning for Model Compression X Zhang, W Xie, Y Li, J Lei, K Jiang, L Fang, Q Du IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Markov-PQ: Joint Pruning-Quantization via Learnable Markov Chain Y Li, X Zhang, W Xie, J Zhang, L Fang, J Du IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
| Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification Y Hong, X Zhang, X Zhang, JT Zhou ACM Multimedia 2024 (Oral), 2024 | | 2024 |
Weiying XieXidian UniversityBestätigte E-Mail-Adresse bei xidian.edu.cn