Cheng Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Gene Expression Data Analysis

Subspace Clustering

Survival Analysis

Top Venues

IEEE Trans. Cybern.

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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 (2024)
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 (2024)
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) (2024)
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)
Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang
Adaptive dual graph regularization for clustered multi-task learning. Neurocomputing 574 (2024)
Rui Li, Cheng Liu, Yu Tong, Jiang Dazhi
Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning. LREC/COLING (2024)
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 (2023)
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)
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) (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
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 (2022)
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)
Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong
Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. 50 (1) (2020)
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 (2020)
Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen
Adaptive Regularized Semi-Supervised Clustering Ensemble. IEEE Access 8 (2020)
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 (2020)
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)
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 (2019)
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)
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) (2019)
Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong
Adaptive activation functions in convolutional neural networks. Neurocomputing 272 (2018)
Chutao Zheng, Cheng Liu, Hau-San Wong
Corpus-based topic diffusion for short text clustering. Neurocomputing 275 (2018)
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) (2018)
Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong
Learning with Partially Shared Features for Multi-Task Learning. ICONIP (5) (2017)
Chutao Zheng, Cheng Liu, Hau-San Wong
Iterative Term Weighting for Short Text Data. SMC (2015)