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ORCIDChengliang Liu 0003
Person information
- unicode name: 刘成亮
- affiliation: Harbin Institute of Technology, Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, China
Other persons with the same name
- Chengliang Liu (aka: Cheng-liang Liu, Cheng-Liang Liu) — disambiguation page
- Chengliang Liu 0001
![[0000-0002-6754-258X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6754-258X")
— Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China (and 1 more) - Chengliang Liu 0002 — East China Normal University, School of Urban and Regional Sciences, Shanghai, China (and 1 more)
- Chengliang Liu 0004 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, China
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2020 – today
- 2025
[j11]Yabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu, Zhihao Wu, Yong Xu:
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection. IEEE Trans. Neural Networks Learn. Syst. 36(1): 369-380 (2025)- 2024
- [j10]Jinrong Cui, Yazi Xie, Chengliang Liu, Qiong Huang, Mu Li, Jie Wen:
Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learning. Neural Networks 180: 106674 (2024) - [j9]Chao Huang, Chengliang Liu, Jie Wen, Lian Wu, Yong Xu, Qiuping Jiang, Yaowei Wang:
Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative Transformer. IEEE Trans. Cybern. 54(5): 3197-3210 (2024) - [j8]Shijie Deng, Jie Wen, Chengliang Liu, Ke Yan, Gehui Xu, Yong Xu:
Projective Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10539-10551 (2024) - [j7]Jie Wen, Chengliang Liu, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan, Yong Xu:
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11396-11408 (2024) - [j6]Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multiview Clustering Network. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15442-15452 (2024) - [c16]QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu:
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. AAAI 2024: 6342-6350 - [c15]Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu:
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. AAAI 2024: 13864-13872 - [c14]Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang:
A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification. AAAI 2024: 15249-15257 - [c13]Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang:
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures. AAAI 2024: 16147-16155 - [c12]Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu:
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. ICML 2024 - [c11]Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang:
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. ICML 2024 - [c10]Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu:
Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. IJCAI 2024: 866-874 - [i7]Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu:
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. CoRR abs/2404.17340 (2024) - 2023
- [j5]Wai Keung Wong, Chengliang Liu, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, Jie Wen:
Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering. Inf. Fusion 100: 101917 (2023) - [j4]Lilei Sun, Jie Wen, Chengliang Liu, Lunke Fei, Lusi Li:
Balance guided incomplete multi-view spectral clustering. Neural Networks 166: 260-272 (2023) - [j3]Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li:
Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. IEEE Trans. Image Process. 32: 682-693 (2023) - [j2]Chengliang Liu, Zhihao Wu, Jie Wen, Yong Xu, Chao Huang:
Localized Sparse Incomplete Multi-View Clustering. IEEE Trans. Multim. 25: 5539-5551 (2023) - [c9]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. AAAI 2023: 8807-8815 - [c8]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. AAAI 2023: 8816-8824 - [c7]Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu:
MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. AAAI 2023: 8993-9001 - [c6]Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu:
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. CVPR 2023: 15712-15721 - [c5]Jie Wen, Gehui Xu, Chengliang Liu, Lunke Fei, Chao Huang, Wei Wang, Yong Xu:
Localized and Balanced Efficient Incomplete Multi-view Clustering. ACM Multimedia 2023: 2927-2935 - [c4]Chengliang Liu, Jie Wen, Yabo Liu, Chao Huang, Zhihao Wu, Xiaoling Luo, Yong Xu:
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning. NeurIPS 2023 - [i6]Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu:
Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. CoRR abs/2303.07180 (2023) - [i5]Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu:
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. CoRR abs/2303.08358 (2023) - [i4]Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang:
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR abs/2303.17117 (2023) - [i3]Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu:
Information Recovery-Driven Deep Incomplete Multi-view Clustering Network. CoRR abs/2304.00429 (2023) - 2022
- [j1]Dasheng Zhang, Chao Huang, Chengliang Liu, Yong Xu:
Weakly Supervised Video Anomaly Detection via Transformer-Enabled Temporal Relation Learning. IEEE Signal Process. Lett. 29: 1197-1201 (2022) - [c3]Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu:
Deep Object Detection with Example Attribute Based Prediction Modulation. ICASSP 2022: 2020-2024 - [c2]Chao Huang, Yabo Liu, Zheng Zhang, Chengliang Liu, Jie Wen, Yong Xu, Yaowei Wang:
Hierarchical Graph Embedded Pose Regularity Learning via Spatio-Temporal Transformer for Abnormal Behavior Detection. ACM Multimedia 2022: 307-315 - [c1]Chao Huang, Chengliang Liu, Zheng Zhang, Zhihao Wu, Jie Wen, Qiuping Jiang, Yong Xu:
Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer. ACM Multimedia 2022: 521-530 - [i2]Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu:
Localized Sparse Incomplete Multi-view Clustering. CoRR abs/2208.02998 (2022) - 2021
- [i1]Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. CoRR abs/2109.01664 (2021)
Coauthor Index
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