Chengliang Liu 0003 - researchr alias

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Viewing Publication 1 - 31 from 31

2025

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy GradingXiaoling Luo 0001, QiHao Xu, Zhihua Wang 0002, Chao Huang 0008, Chengliang Liu 0003, Xiaopeng Jin, Jianguo Zhang 0001. titb, 29(5):3184-3193, May 2025. [doi]

Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category SupervisionZhihao Wu 0002, Chengliang Liu 0003, Jie Wen 0001, Yong Xu 0001, Jian Yang 0003, Xuelong Li 0001. tnn, 36(5):8565-8576, May 2025. [doi]

Reliable Representation Learning for Incomplete Multi-View Missing Multi-Label ClassificationChengliang Liu 0003, Jie Wen 0001, Yong Xu 0001, Bob Zhang 0001, Liqiang Nie, Min Zhang 0005. pami, 47(6):4940-4956, June 2025. [doi]

Multi-view Evidential Learning-based Medical Image SegmentationChao Huang 0008, Yushu Shi, Waikeung Wong, Chengliang Liu 0003, Wei Wang 0169, Zhihua Wang 0002, Jie Wen 0001. AAAI 2025: 17386-17394 [doi]

Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus DiseasesYuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu 0002, Chengliang Liu 0003, Jie Wen 0001, Yong Xu 0001. AAAI 2025: 5325-5333 [doi]

Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object DetectionYabo Liu, Jinghua Wang, Linhui Xiao, Chengliang Liu 0003, Zhihao Wu 0002, Yong Xu 0001. tnn, 36(1):369-380, January 2025. [doi]

Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy GradingXiaoling Luo, QiHao Xu, Huisi Wu, Chengliang Liu 0003, Zhihui Lai 0001, LinLin Shen. AAAI 2025: 19224-19232 [doi]

2024

Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing ViewsJie Wen 0001, Chengliang Liu 0003, Shijie Deng, Yicheng Liu, Lunke Fei, Ke Yan 0003, Yong Xu 0001. tnn, 35(8):11396-11408, August 2024. [doi]

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype ModelingChengliang Liu 0003, Gehui Xu, Jie Wen 0001, Yabo Liu, Chao Huang 0008, Yong Xu 0001. icml 2024: [doi]

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label ClassificationChengliang Liu 0003, Jinlong Jia, Jie Wen 0001, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu. AAAI 2024: 13864-13872 [doi]

Information Recovery-Driven Deep Incomplete Multiview Clustering NetworkChengliang Liu 0003, Jie Wen 0001, Zhihao Wu 0002, Xiaoling Luo, Chao Huang 0008, Yong Xu 0001. tnn, 35(11):15442-15452, November 2024. [doi]

Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly DetectionChao Huang 0008, Jie Wen 0001, Chengliang Liu 0003, Yabo Liu. IJCAI 2024: 866-874 [doi]

Weakly Supervised Video Anomaly Detection via Self-Guided Temporal Discriminative TransformerChao Huang 0008, Chengliang Liu 0003, Jie Wen 0001, Lian Wu, Yong Xu 0001, Qiuping Jiang, Yaowei Wang 0001. tcyb, 54(5):3197-3210, May 2024. [doi]

Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learningJinrong Cui, Yazi Xie, Chengliang Liu 0003, Qiong Huang 0001, Mu Li 0005, Jie Wen 0001. NN, 180:106674, 2024. [doi]

Projective Incomplete Multi-View ClusteringShijie Deng, Jie Wen 0001, Chengliang Liu 0003, Ke Yan 0003, Gehui Xu, Yong Xu 0001. tnn, 35(8):10539-10551, August 2024. [doi]

Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image RecognitionYicheng Liu, Jie Wen 0001, Chengliang Liu 0003, Xiaozhao Fang, Zuoyong Li, Yong Xu 0001, Zheng Zhang 0006. icml 2024: [doi]

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label ClassificationXin Tan, Ce Zhao, Chengliang Liu 0003, Jie Wen 0001, Zhanyan Tang. AAAI 2024: 15249-15257 [doi]

HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion SegmentationQiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu 0003, Jie Wen 0001, Jialei Wang, Yong Xu 0001. AAAI 2024: 6342-6350 [doi]

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering StructuresGehui Xu, Jie Wen, Chengliang Liu 0003, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang 0169. AAAI 2024: 16147-16155 [doi]

2023

Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view ClusteringJie Wen 0001, Chengliang Liu 0003, Gehui Xu, Zhihao Wu 0002, Chao Huang 0008, Lunke Fei, Yong Xu 0001. cvpr 2023: 15712-15721 [doi]

Localized and Balanced Efficient Incomplete Multi-view ClusteringJie Wen 0001, Gehui Xu, Chengliang Liu 0003, Lunke Fei, Chao Huang 0008, Wei Wang 0169, Yong Xu 0001. mm 2023: 2927-2935 [doi]

Localized Sparse Incomplete Multi-View ClusteringChengliang Liu 0003, Zhihao Wu 0002, Jie Wen 0001, Yong Xu 0001, Chao Huang 0008. tmm, 25:5539-5551, 2023. [doi]

Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label LearningChengliang Liu 0003, Jie Wen 0001, Yabo Liu, Chao Huang, Zhihao Wu 0002, Xiaoling Luo, Yong Xu. nips 2023: [doi]

DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label ClassificationChengliang Liu 0003, Jie Wen 0001, Xiaoling Luo, Chao Huang 0008, Zhihao Wu 0002, Yong Xu 0001. AAAI 2023: 8807-8815 [doi]

Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware TransformersChengliang Liu 0003, Jie Wen, Xiaoling Luo, Yong Xu. AAAI 2023: 8816-8824 [doi]

MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural NetworkXiaoling Luo, Chengliang Liu 0003, Waikeung Wong, Jie Wen 0001, Xiaopeng Jin, Yong Xu 0001. AAAI 2023: 8993-9001 [doi]

Balance guided incomplete multi-view spectral clusteringLilei Sun, Jie Wen 0001, Chengliang Liu 0003, Lunke Fei, Lusi Li. NN, 166:260-272, September 2023. [doi]

Neighbor group structure preserving based consensus graph learning for incomplete multi-view clusteringWai-Keung Wong, Chengliang Liu 0003, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, Jie Wen 0001. inffus, 100:101917, December 2023. [doi]

Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware LossZhihao Wu, Chengliang Liu 0003, Jie Wen 0001, Yong Xu 0001, Jian Yang 0003, Xuelong Li 0001. TIP, 32:682-693, 2023. [doi]

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