| DRPL: Deep Regression Pair Learning for Multi-Focus Image Fusion J Li, X Guo, G Lu, B Zhang, Y Xu, F Wu, D Zhang IEEE Transactions on Image Processing 29, 4816-4831, 2020 | 182 | 2020 |
| Label Co-occurrence Learning with Graph Convolutional Networks for Multi-label Chest X-ray Image Classification B Chen, J Li, G Lu, H Yu, D Zhang IEEE Journal of Biomedical and Health Informatics, 2020 | 142 | 2020 |
| DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays B Chen, J Li, X Guo, G Lu Biomedical Signal Processing and Control 53, 101554, 2019 | 103 | 2019 |
| Generative multi-view and multi-feature learning for classification J Li, B Zhang, G Lu, D Zhang Information Fusion 45, 215-226, 2019 | 84 | 2019 |
| Separate Loss for Basic and Compound Facial Expression Recognition in the Wild Y Li, Y Lu, J Li, G Lu Asian Conference on Machine Learning, 897-911, 2019 | 79 | 2019 |
| Lesion Location Attention Guided Network for Multi-label Thoracic Disease Classification in Chest X-rays B Chen, J Li, G Lu, D Zhang IEEE journal of biomedical and health informatics, 2019 | 64 | 2019 |
| Joint similar and specific learning for diabetes mellitus and impaired glucose regulation detection J Li, D Zhang, Y Li, J Wu, B Zhang Information Sciences 384, 191-204, 2017 | 54 | 2017 |
| Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification X Lin, J Li, Z Ma, H Li, S Li, K Xu, G Lu, D Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 52 | 2022 |
| Consensus guided incomplete multi-view spectral clustering J Wen, H Sun, L Fei, J Li, Z Zhang, B Zhang Neural Networks, 2020 | 52 | 2020 |
| Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild Y Li, Y Lu, B Chen, Z Zhang, J Li, G Lu, D Zhang IEEE Transactions on Circuits and Systems for Video Technology, 2021 | 42 | 2021 |
| Feature dynamic alignment and refinement for infrared-visible image fusion: Translation robust fusion H Li, J Zhao, J Li, Z Yu, G Lu Information Fusion, 2023 | 41 | 2023 |
| Shared autoencoder Gaussian process latent variable model for visual classification J Li, B Zhang, D Zhang IEEE transactions on neural networks and learning systems 29 (9), 4272-4286, 2018 | 41 | 2018 |
| Joint discriminative and collaborative representation for fatty liver disease diagnosis J Li, B Zhang, D Zhang Expert Systems with Applications 89, 31-40, 2017 | 40 | 2017 |
| Learning context-based nonlocal entropy modeling for image compression M Li, K Zhang, J Li, W Zuo, R Timofte, D Zhang IEEE Transactions on Neural Networks and Learning Systems, 2021 | 38 | 2021 |
| AVLSM: Adaptive Variational Level Set Model for Image Segmentation in the Presence of Severe Intensity Inhomogeneity and High Noise Q Cai, Y Qian, S Zhou, J Li, YH Yang, F Wu, D Zhang IEEE Transactions on Image Processing 31, 43-57, 2021 | 37 | 2021 |
| Dual-stream reciprocal disentanglement learning for domain adaptation person re-identification H Li, K Xu, J Li, Z Yu Knowledge-Based Systems, 109315, 2022 | 35 | 2022 |
| HIPA: hierarchical patch transformer for single image super resolution Q Cai, Y Qian, J Li, J Lyu, YH Yang, F Wu, D Zhang IEEE Transactions on Image Processing, 2023 | 32 | 2023 |
| A probabilistic hierarchical model for multi-view and multi-feature classification J Li, H Yong, B Zhang, M Li, L Zhang, D Zhang Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 32 | 2018 |
| Logical Relation Inference and Multiview Information Interaction for Domain Adaptation Person Re-Identification S Li, F Li, J Li, H Li, B Zhang, D Tao, X Gao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 30 | 2023 |
| Body surface feature-based multi-modal Learning for Diabetes Mellitus detection J Li, B Zhang, G Lu, J You, D Zhang Information Sciences 472, 1-14, 2019 | 30 | 2019 |
Guangming LuHarbin Institute of Technology, ShenzhenVerified email at hit.edu.cn
