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Chengliang Liu (刘成亮)
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Cited by
Year
Localized sparse incomplete multi-view clustering
C Liu, Z Wu, J Wen, Y Xu, C Huang
IEEE Transactions on Multimedia, 2022
552022
Selecting high-quality proposals for weakly supervised object detection with bottom-up aggregated attention and phase-aware loss
Z Wu, C Liu, J Wen, Y Xu, J Yang, X Li
IEEE Transactions on Image Processing 32, 682-693, 2022
262022
Weakly supervised video anomaly detection via transformer-enabled temporal relation learning
D Zhang, C Huang, C Liu, Y Xu
IEEE Signal Processing Letters 29, 1197-1201, 2022
252022
Deep double incomplete multi-view multi-label learning with incomplete labels and missing views
J Wen, C Liu, S Deng, Y Liu, L Fei, K Yan, Y Xu
IEEE Transactions on Neural Networks and Learning Systems, 2023
222023
Projective incomplete multi-view clustering
S Deng, J Wen, C Liu, K Yan, G Xu, Y Xu
IEEE Transactions on Neural Networks and Learning Systems, 2023
222023
Weakly supervised video anomaly detection via self-guided temporal discriminative transformer
C Huang, C Liu, J Wen, L Wu, Y Xu, Q Jiang, Y Wang
IEEE Transactions on Cybernetics, 2022
172022
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification
C Liu, J Wen, X Luo, C Huang, Z Wu, Y Xu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8807-8815, 2023
162023
Incomplete multi-view multi-label learning via label-guided masked view- and category-aware transformers
C Liu, J Wen, X Luo, Y Xu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8816-8824, 2023
162023
Hierarchical graph embedded pose regularity learning via spatio-temporal transformer for abnormal behavior detection
C Huang, Y Liu, Z Zhang, C Liu, J Wen, Y Xu, Y Wang
Proceedings of the 30th ACM International Conference on Multimedia, 307-315, 2022
152022
Deep object detection with example attribute based prediction modulation
Z Wu, C Liu, C Huang, J Wen, Y Xu
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
152022
Information Recovery-Driven Deep Incomplete Multiview Clustering Network
C Liu, J Wen, Z Wu, X Luo, C Huang, Y Xu
IEEE Transactions on Neural Networks and Learning Systems, 2023
122023
Pixel-level anomaly detection via uncertainty-aware prototypical transformer
C Huang, C Liu, Z Zhang, Z Wu, J Wen, Q Jiang, Y Xu
Proceedings of the 30th ACM International Conference on Multimedia, 521-530, 2022
92022
Highly confident local structure based consensus graph learning for incomplete multi-view clustering
J Wen, C Liu, G Xu, Z Wu, C Huang, L Fei, Y Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
Balance guided incomplete multi-view spectral clustering
L Sun, J Wen, C Liu, L Fei, L Li
Neural Networks 166, 260-272, 2023
52023
MVCINN: multi-view diabetic retinopathy detection using a deep cross-interaction neural network
X Luo, C Liu, W Wong, J Wen, X Jin, Y Xu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8993-9001, 2023
32023
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
C Liu, J Wen, Y Liu, C Huang, Z Wu, X Luo, Y Xu
Advances in Neural Information Processing Systems 36, 2024
22024
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection
Y Liu, J Wang, L Xiao, C Liu, Z Wu, Y Xu
IEEE Transactions on Neural Networks and Learning Systems, 2023
22023
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification
C Liu, J Wen, Y Xu, L Nie, M Zhang
arXiv preprint arXiv:2303.17117, 2023
22023
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation
QH Xu, X Luo, C Huang, C Liu, J Wen, J Wang, Y Xu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 6342-6350, 2024
12024
Localized and Balanced Efficient Incomplete Multi-view Clustering
J Wen, G Xu, C Liu, L Fei, C Huang, W Wang, Y Xu
Proceedings of the 31st ACM International Conference on Multimedia, 2927-2935, 2023
12023
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