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Zengmao Wang
Zengmao Wang
Bestätigte E-Mail-Adresse bei whu.edu.cn
Titel
Zitiert von
Zitiert von
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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
1562017
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
962020
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
942017
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
862018
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
762017
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
352016
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
332019
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
282021
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
European conference on computer vision, 453-468, 2016
162016
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
122019
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
112019
Matrix completion with Preference Ranking for Top-N Recommendation.
Z Wang, Y Guo, B Du
IJCAI, 3585-3591, 2018
102018
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
光子学报, 116-123, 2014
102014
Joint representation learning with ratings and reviews for recommendation
Z Wang, H Xia, S Chen, G Chun
Neurocomputing 425, 181-190, 2021
92021
On Gleaning Knowledge from Multiple Domains for Active Learning.
Z Wang, B Du, L Zhang, L Zhang, R Hu, D Tao
IJCAI, 3013-3019, 2017
72017
Bi-adapting kernel learning for unsupervised domain adaptation
Z Wang, P Xiao, W Tu, B Du, Y Cheng
Neurocomputing 398, 547-554, 2020
32020
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
22022
Multi-class active learning: A hybrid informative and representative criterion inspired approach
Z Wang, B Du, L Zhang
2017 International Joint Conference on Neural Networks (IJCNN), 1510-1517, 2017
22017
Graph-aware collaborative reasoning for click-through rate prediction
X Zhang, Z Wang, B Du
World Wide Web, 1-21, 2022
12022
Multistage reaction‐diffusion equation network for image super‐resolution
X Pu, Z Wang
IET Image Processing 15 (12), 2926-2936, 2021
12021
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