Cheng Liu

According to our database, Cheng Liu authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adaptive dual graph regularization for clustered multi-task learning.

Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang

Neurocomputing, March, 2024

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention.

Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Collaborative learning-based unknown-class instance identification for open-set domain adaptation.

Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong

Inf. Sci., December, 2023

GASN: gamma distribution test for driver genes identification based on similarity networks.

Dazhi Jiang, Runguo Wei, Zhihui He, Senlin Lin, Cheng Liu, Yingqing Lin

Connect. Sci., December, 2023

Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training.

Rui Li, Cheng Liu, Dazhi Jiang

Knowl. Based Syst., November, 2023

Self-Supervised Graph Completion for Incomplete Multi-View Clustering.

Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong

IEEE Trans. Knowl. Data Eng., September, 2023

View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification.

Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Biomed. Eng., 2023

Dynamic interactive multiview memory network for emotion recognition in conversation.

Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria

Inf. Fusion, 2023

Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation.

Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning.

Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., 2022

GAN-Based Enhanced Deep Subspace Clustering Networks.

Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong

IEEE Trans. Knowl. Data Eng., 2022

Semisupervised Multiple Choice Learning for Ensemble Classification.

Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Cybern., 2022

Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.

Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation.

Geng Tu, Jintao Wen, Cheng Liu, Dazhi Jiang, Erik Cambria

IEEE Trans. Artif. Intell., 2022

Unsupervised discriminative feature learning via finding a clustering-friendly embedding space.

Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong

Pattern Recognit., 2022

Perturbation-insensitive cross-domain image enhancement for low-quality face verification.

Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong

Inf. Sci., 2022

Repulsion and attraction in searching: A hybrid algorithm based on gravitational kernel and vital few for cancer driver gene prediction.

Zhihui He, Yingqing Lin, Runguo Wei, Cheng Liu, Dazhi Jiang

Comput. Biol. Medicine, 2022

Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition.

Sijin Zhou, Dongmin Huang, Cheng Liu, Dazhi Jiang

Appl. Soft Comput., 2022

Progressive Deep Subspace Clustering based on Sample Reliability.

Hang Gao, Yunshan Li, Cheng Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Reliable Self-Supervised Information Mining for Deep Subspace Clustering.

Junjie Liang, Hang Gao, Haojun Sun, Rui Li, Cheng Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network.

Rui Li, Cheng Liu, Dazhi Jiang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification.

Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong

IEEE Trans. Image Process., 2021

A hybrid intelligent model for acute hypotensive episode prediction with large-scale data.

Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou

Inf. Sci., 2021

Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition.

Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian, Dazhi Jiang

Neurocomputing, 2021

Unsupervised Ensemble Learning Via Network Generation.

Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration.

Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Image Process., 2020

Multitask Feature Selection by Graph-Clustered Feature Sharing.

Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Cybern., 2020

Joint subspace and discriminative learning for self-paced domain adaptation.

Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

Knowl. Based Syst., 2020

Adaptive Regularized Semi-Supervised Clustering Ensemble.

Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen

IEEE Access, 2020

2019

Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis.

Cheng Liu, Hau-San Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Encoding sparse and competitive structures among tasks in multi-task learning.

Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong

Pattern Recognit., 2019

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations.

Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification.

Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection.

Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu

IEEE Trans. Image Process., 2018

Corpus-based topic diffusion for short text clustering.

Chutao Zheng, Cheng Liu, Hau-San Wong

Neurocomputing, 2018

Adaptive activation functions in convolutional neural networks.

Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong

Neurocomputing, 2018

2017

Learning with Partially Shared Features for Multi-Task Learning.

Cheng Liu, Wen-Ming Cao, Chutao Zheng, Hau-San Wong

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015

Iterative Term Weighting for Short Text Data.

Chutao Zheng, Cheng Liu, Hau-San Wong

Proceedings of the 2015 IEEE International Conference on Systems, 2015