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Cheng Liu 0001
Person information
- affiliation: Shantou University, Department of Computer Science, China
- affiliation (PhD 2017): City University of Hong Kong, Department of Computer Science, Hong Kong
Other persons with the same name
- Cheng Liu — disambiguation page
- Cheng Liu 0002 — Georgia Institute of Technology, Atlanta, GA, USA
- Cheng Liu 0003 — Kyushu University, Research Institute for Applied Mechanics, Fukuoka, Japan
- Cheng Liu 0004 — Stanford University, Department of Aeronautics and Astronautics, Stanford, CA, USA
- Cheng Liu 0005 — University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China
- Cheng Liu 0006 — Shenzhen Institute of Building Research Co., Shenzhen, China (and 1 more)
- Cheng Liu 0007 — Chinese Academy of Sciences, National Space Science Center, Beijing, China (and 1 more)
- Cheng Liu 0008 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China (and 1 more)
- Cheng Liu 0009 — Harbin Institute of Technology, School of Electrical Engineering and Automation, Harbin, China
- Cheng Liu 0010 — Dalian Maritime University, College of Navigation, Dalian, China (and 1 more)
- Cheng Liu 0011 — Guizhou University, College of Computer Science and Technology, Guiyang, China
- Cheng Liu 0012 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Cheng Liu 0013 — Xi'an Polytechnic University, School of Electronics and Information, Xi'an, China
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2020 – today
- 2024
- [j38]Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang:
Adaptive dual graph regularization for clustered multi-task learning. Neurocomputing 574: 127259 (2024) - [j37]Yiran Cai, Hangjun Che, Baicheng Pan, Man-Fai Leung, Cheng Liu, Shiping Wen:
Projected cross-view learning for unbalanced incomplete multi-view clustering. Inf. Fusion 105: 102245 (2024) - [j36]Hao Liu, Runguo Wei, Geng Tu, Jiali Lin, Cheng Liu, Dazhi Jiang:
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection. Inf. Fusion 108: 102353 (2024) - [j35]Jian Zhong, Qianfen Jiao, Si Wu, Cheng Liu, Hau-San Wong:
Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. Knowl. Based Syst. 289: 111478 (2024) - [j34]Lisheng Wen, Sentao Chen, Mengying Xie, Cheng Liu, Lin Zheng:
Training multi-source domain adaptation network by mutual information estimation and minimization. Neural Networks 171: 353-361 (2024) - [j33]Yuzhu Dong, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan:
Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering. Signal Process. 217: 109341 (2024) - [j32]Hang Gao, Wenjun Shen, Rui Li, Cheng Liu, Si Wu:
Collaborative Structure-Preserved Missing Data Imputation for Single-Cell RNA-Seq Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1480-1491 (2024) - [j31]Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10803-10816 (2024) - [c16]Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong:
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. AAAI 2024: 5903-5911 - [c15]Rui Li, Cheng Liu, Yu Tong, Jiang Dazhi:
Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning. LREC/COLING 2024: 7153-7162 - [c14]Lianxin Xie, Csbingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong:
Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. CVPR 2024: 9120-9129 - [c13]Zhenping Li, Si Wu, Xindian Wei, Qianfen Jiao, Cheng Liu, Rui Li:
Reference-conditional Makeup-aware Discrimination for Face Image Beautification. ICME 2024: 1-6 - [c12]Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong:
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. IJCAI 2024: 5954-5962 - [c11]Le Jiang, Yan Huang, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu, Hau-San Wong:
Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. ACM Multimedia 2024: 5102-5111 - [c10]Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong:
Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering. ACM Multimedia 2024: 5240-5249 - 2023
- [j30]Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu:
Adaptive graph nonnegative matrix factorization with the self-paced regularization. Appl. Intell. 53(12): 15818-15835 (2023) - [j29]Dazhi Jiang, Runguo Wei, Zhihui He, Senlin Lin, Cheng Liu, Yingqing Lin:
GASN: gamma distribution test for driver genes identification based on similarity networks. Connect. Sci. 35(1) (2023) - [j28]Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria:
Dynamic interactive multiview memory network for emotion recognition in conversation. Inf. Fusion 91: 123-133 (2023) - [j27]Chenglu Li, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan:
Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. Inf. Sci. 634: 587-607 (2023) - [j26]Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong:
Collaborative learning-based unknown-class instance identification for open-set domain adaptation. Inf. Sci. 651: 119704 (2023) - [j25]Rui Li, Cheng Liu, Dazhi Jiang:
Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training. Knowl. Based Syst. 279: 110957 (2023) - [j24]Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. IEEE Trans. Biomed. Eng. 70(1): 307-317 (2023) - [j23]Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong:
Self-Supervised Graph Completion for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35(9): 9394-9406 (2023) - [c9]Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong:
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. CVPR 2023: 19285-19294 - 2022
- [j22]Sijin Zhou, Dongmin Huang, Cheng Liu, Dazhi Jiang:
Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition. Appl. Soft Comput. 122: 108889 (2022) - [j21]Zhihui He, Yingqing Lin, Runguo Wei, Cheng Liu, Dazhi Jiang:
Repulsion and attraction in searching: A hybrid algorithm based on gravitational kernel and vital few for cancer driver gene prediction. Comput. Biol. Medicine 151(Part): 106236 (2022) - [j20]Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong:
Perturbation-insensitive cross-domain image enhancement for low-quality face verification. Inf. Sci. 608: 1183-1201 (2022) - [j19]Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong:
Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. Pattern Recognit. 129: 108768 (2022) - [j18]Geng Tu, Jintao Wen, Cheng Liu, Dazhi Jiang, Erik Cambria:
Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. IEEE Trans. Artif. Intell. 3(5): 699-708 (2022) - [j17]Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1193-1202 (2022) - [j16]Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong:
Semisupervised Multiple Choice Learning for Ensemble Classification. IEEE Trans. Cybern. 52(5): 3658-3668 (2022) - [j15]Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong:
GAN-Based Enhanced Deep Subspace Clustering Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3267-3281 (2022) - [j14]Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. 33(2): 654-666 (2022) - [c8]Rui Li, Cheng Liu, Dazhi Jiang:
Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network. COLING 2022: 6934-6943 - [c7]Junjie Liang, Hang Gao, Haojun Sun, Rui Li, Cheng Liu:
Reliable Self-Supervised Information Mining for Deep Subspace Clustering. ICME 2022: 1-6 - [c6]Hang Gao, Yunshan Li, Cheng Liu:
Progressive Deep Subspace Clustering based on Sample Reliability. SMC 2022: 1682-1687 - 2021
- [j13]Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian, Dazhi Jiang:
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition. Neurocomputing 448: 140-151 (2021) - [j12]Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou:
A hybrid intelligent model for acute hypotensive episode prediction with large-scale data. Inf. Sci. 546: 787-802 (2021) - [j11]Sentao Chen, Hanrui Wu, Cheng Liu:
Domain Invariant and Agnostic Adaptation. Knowl. Based Syst. 227: 107192 (2021) - [j10]Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong:
Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. IEEE Trans. Image Process. 30: 5807-5818 (2021) - [c5]Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong:
Unsupervised Ensemble Learning Via Network Generation. ICME 2021: 1-6 - 2020
- [j9]Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen:
Adaptive Regularized Semi-Supervised Clustering Ensemble. IEEE Access 8: 17926-17934 (2020) - [j8]Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Joint subspace and discriminative learning for self-paced domain adaptation. Knowl. Based Syst. 205: 106285 (2020) - [j7]Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong:
Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. 50(1): 74-86 (2020) - [j6]Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong:
Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration. IEEE Trans. Image Process. 29: 538-550 (2020)
2010 – 2019
- 2019
- [j5]Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong:
Encoding sparse and competitive structures among tasks in multi-task learning. Pattern Recognit. 88: 689-701 (2019) - [j4]Cheng Liu, Hau-San Wong:
Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 312-321 (2019) - [c4]Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong:
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. CVPR 2019: 6500-6509 - [c3]Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong:
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. IJCAI 2019: 3268-3274 - 2018
- [j3]Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong:
Adaptive activation functions in convolutional neural networks. Neurocomputing 272: 204-212 (2018) - [j2]Chutao Zheng, Cheng Liu, Hau-San Wong:
Corpus-based topic diffusion for short text clustering. Neurocomputing 275: 2444-2458 (2018) - [j1]Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu:
Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. 27(3): 1418-1432 (2018) - 2017
- [c2]Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong:
Learning with Partially Shared Features for Multi-Task Learning. ICONIP (5) 2017: 95-104 - 2015
- [c1]Chutao Zheng, Cheng Liu, Hau-San Wong:
Iterative Term Weighting for Short Text Data. SMC 2015: 1687-1692
Coauthor Index
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last updated on 2024-11-15 19:27 CET by the dblp team
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