| Exploring representativeness and informativeness for active learning B Du, Z Wang, L Zhang, L Zhang, W Liu, J Shen, D Tao IEEE transactions on cybernetics 47 (1), 14-26, 2017 | 214 | 2017 |
| Domain adaptation with neural embedding matching Z Wang, B Du, Y Guo IEEE transactions on neural networks and learning systems 31 (7), 2387-2397, 2020 | 178 | 2020 |
| A novel semisupervised active-learning algorithm for hyperspectral image classification Z Wang, B Du, L Zhang, L Zhang, X Jia IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3071-3083, 2017 | 130 | 2017 |
| Robust graph-based semisupervised learning for noisy labeled data via maximum correntropy criterion B Du, T Xinyao, Z Wang, L Zhang, D Tao IEEE transactions on cybernetics 49 (4), 1440-1453, 2018 | 105 | 2018 |
| Robust and discriminative labeling for multi-label active learning based on maximum correntropy criterion B Du, Z Wang, L Zhang, L Zhang, D Tao IEEE Transactions on Image Processing 26 (4), 1694-1707, 2017 | 97 | 2017 |
| Domain adaptation with discriminative distribution and manifold embedding for hyperspectral image classification Z Wang, B Du, Q Shi, W Tu IEEE Geoscience and Remote Sensing Letters 16 (7), 1155-1159, 2019 | 67 | 2019 |
| Incorporating distribution matching into uncertainty for multiple kernel active learning Z Wang, B Du, W Tu, L Zhang, D Tao IEEE Transactions on Knowledge and Data Engineering 33 (1), 128-142, 2021 | 52 | 2021 |
| MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification Y Li, Y Luo, L Zhang, Z Wang, B Du IEEE Transactions on Geoscience and Remote Sensing 62, 2024 | 43* | 2024 |
| A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification Z Wang, B Du, L Zhang, L Zhang Neurocomputing 179, 88-100, 2016 | 41 | 2016 |
| Joint representation learning with ratings and reviews for recommendation Z Wang, H Xia, S Chen, G Chun Neurocomputing 425, 181-190, 2021 | 26 | 2021 |
| Active learning with co-auxiliary learning and multi-level diversity for image classification Z Wang, Z Chen, B Du IEEE Transactions on Circuits and Systems for Video Technology 33 (8), 3899-3911, 2023 | 25 | 2023 |
| Coherence-aware context aggregator for fast video object segmentation M Lan, J Zhang, Z Wang Pattern Recognition 136, 109214, 2023 | 25 | 2023 |
| On combining active and transfer learning for medical data classification X Tang, B Du, J Huang, Z Wang, L Zhang IET Computer Vision 13 (2), 194-205, 2019 | 24 | 2019 |
| GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping Y Zheng, X Chen, Y Zheng, S Gu, R Yang, B Jin, P Li, C Zhong, Z Wang, ... IEEE Robotics and Automation Letters, 2024 | 23 | 2024 |
| Leveraging ratings and reviews with gating mechanism for recommendation H Xia, Z Wang, B Du, L Zhang, S Chen, G Chun Proceedings of the 28th ACM international conference on information and …, 2019 | 22 | 2019 |
| Multi-class active learning by integrating uncertainty and diversity Z Wang, X Fang, X Tang, C Wu IEEE Access 6, 22794-22803, 2018 | 21 | 2018 |
| Multi-label active learning based on maximum correntropy criterion: Towards robust and discriminative labeling Z Wang, B Du, L Zhang, L Zhang, M Fang, D Tao Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 16 | 2016 |
| Self-paced Supervision for Multi-Source Domain Adaptation Z Wang, C Zhou, B Du, F He Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 15 | 2022 |
| 基于纹理特征和形态学特征融合的高光谱影像分类法 王增茂， 杜博， 张良培， 张乐飞 ACTA PHOTONICA SINICA 43 (8), 810002--1, 2014 | 14 | 2014 |
| Deep Dynamic Interest Learning With Session Local and Global Consistency for Click-Through Rate Predictions X Zhang, Z Wang, B Du IEEE Transactions on Industrial Informatics 18 (5), 3306 - 3315, 2022 | 13 | 2022 |
bo duSchool of Computer Science, Wuhan UniversityDirección de correo verificada de whu.edu.cn
