Dsal: Deeply supervised active learning from strong and weak labelers for biomedical image segmentation Z Zhao, Z Zeng, K Xu, C Chen, C Guan IEEE journal of biomedical and health informatics 25 (10), 3744-3751, 2021 | 70 | 2021 |
Hierarchical consistency regularized mean teacher for semi-supervised 3d left atrium segmentation S Li, Z Zhao, K Xu, Z Zeng, C Guan 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 41 | 2021 |
Mt-uda: Towards unsupervised cross-modality medical image segmentation with limited source labels Z Zhao, K Xu, S Li, Z Zeng, C Guan Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 40 | 2021 |
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation Z Zhao, F Zhou, K Xu, Z Zeng, C Guan, SK Zhou IEEE Transactions on Medical Imaging 42 (3), 633-646, 2022 | 29 | 2022 |
Q-instruct: Improving low-level visual abilities for multi-modality foundation models H Wu, Z Zhang, E Zhang, C Chen, L Liao, A Wang, K Xu, C Li, J Hou, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
Multi-instance multi-label learning for gene mutation prediction in hepatocellular carcinoma K Xu, Z Zhao, J Gu, Z Zeng, CW Ying, LK Choon, TC Hua, PKH Chow 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 13 | 2020 |
Self-supervised assisted active learning for skin lesion segmentation Z Zhao, W Lu, Z Zeng, K Xu, B Veeravalli, C Guan 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 12 | 2022 |
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks K Xu, Z Wang, X Geng, J Lin, M Wu, X Li, W Lin arXiv preprint arXiv:2308.10438, 2023 | 8 | 2023 |
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation Z Zhao, K Xu, HZ Yeo, X Yang, C Guan International MICCAI Brainlesion Workshop, 68-78, 2022 | 6 | 2022 |
Coin: correlation induced clustering for cognition of high dimensional bioinformatics data Z Zeng, Z Zhao, K Xu, Y Li, C Chen, X Zou, Y Wang, W Wei, PKH Chow, ... IEEE Journal of Biomedical and Health Informatics 27 (2), 598-607, 2022 | 3 | 2022 |
Metagrad: adaptive gradient quantization with hypernetworks K Xu, AHX Lee, Z Zhao, Z Wang, M Wu, W Lin 2023 IEEE International Conference on Image Processing (ICIP), 276-280, 2023 | 2 | 2023 |
Object-aware self-supervised multi-label learning X Kaixin, L Liyang, Z Ziyuan, Z Zeng, B Veeravalli 2022 IEEE International Conference on Image Processing (ICIP), 361-365, 2022 | 2 | 2022 |
LPViT: Low-Power Semi-structured Pruning for Vision Transformers K Xu, Z Wang, C Chen, X Geng, J Lin, X Yang, M Wu, X Li, W Lin arXiv preprint arXiv:2407.02068, 2024 | | 2024 |
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection K Xu, Q Feng, H Chen, Z Wang, X Geng, X Yang, M Wu, X Li, W Lin arXiv preprint arXiv:2407.02098, 2024 | | 2024 |
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks X Geng, Z Wang, C Chen, Q Xu, K Xu, C Jin, M Gupta, X Yang, Z Chen, ... IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
LSP: Low-Power Semi-structured Pruning for Vision Transformers K Xu, Z Wang, C Chen, X Geng, J Lin, M Wu, X Li, W Lin | | |
Improved Fully Quantized Training via Rectifying Batch Normalization K Xu, J Lin, Z Wang, P Hu, Z Zhao | | |