Cheng Liu

72 papers A* 9A 4B 3Misc 1Journal 53Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification.
AAAI
Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2026 J jnl
SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2026 J jnl
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering.
IEEE Trans. Knowl. Data Eng.
Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2025 J jnl
Auto-Weighted Multi-View Deep Non-Negative Matrix Factorization With Multi-Kernel Learning.
IEEE Trans. Signal Inf. Process. over Networks
Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu, Shiping Wen
2025 J jnl
Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2025 J jnl
COME: contrastive mapping learning for spatial reconstruction of single-cell RNA sequencing data.
Bioinform.
Xindian Wei, Tianyi Chen, Xibiao Wang, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong
2025 A conf
Cross-View Neighborhood Contrastive Multi-View Clustering with View Mixup Feature Learning.
ICME
Yixuan Ye, Yang Zhang, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2025 J jnl
Diverse Semantic Image Synthesis with various conditioning modalities.
Knowl. Based Syst.
Chaoyue Wu, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2025 Misc conf
Prompt-augmented Feature with Cross-domain Contrastive Learning for Efficient Multi-domain Sentiment Analysis.
ICASSP
Rui Li, Tao Yang, Cheng Liu, Dazhi Jiang, Hau-San Wong, Si Wu
2025 J jnl
Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification.
CoRR
Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2025 J jnl
Robust Diverse Multi-View Learning for Cancer Subtyping.
IEEE Trans. Comput. Biol. Bioinform.
Hangjun Che, Wei Guo, Man-Fai Leung, Yuting Cao, Cheng Liu
2025 J jnl
Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization.
Big Data Min. Anal.
Jiyang Yu, Hangjun Che, Man-Fai Leung, Cheng Liu, Wenhui Wu, Zheng Yan
2025 J jnl
Robust subspace structure discovery for cell type identification in scRNA-seq data.
BMC Bioinform.
Xianyong Zhou, Xindian Wei, Cheng Liu, Wenjun Shen, Ping Xuan, Si Wu, Hau-San Wong
2025 J jnl
SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering.
CoRR
Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2025 J jnl
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering.
CoRR
Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2025 J jnl
Two-step graph propagation for incomplete multi-view clustering.
Neural Networks
Xiao Zhang, Xinyu Pu, Hangjun Che, Cheng Liu, Jun Qin
2024 J jnl
Adaptive dual graph regularization for clustered multi-task learning.
Neurocomputing
Cheng Liu, Rui Li, Sentao Chen, Lin Zheng, Dazhi Jiang
2024 J jnl
Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering.
Signal Process.
Yuzhu Dong, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan
2024 J jnl
Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition.
Knowl. Based Syst.
Jian Zhong, Qianfen Jiao, Si Wu, Cheng Liu, Hau-San Wong
2024 J jnl
Collaborative Structure-Preserved Missing Data Imputation for Single-Cell RNA-Seq Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hang Gao, Wenjun Shen, Rui Li, Cheng Liu, Si Wu
2024 A* conf
Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering.
ACM Multimedia
Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2024 — conf
Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning.
LREC/COLING
Rui Li, Cheng Liu, Yu Tong, Jiang Dazhi
2024 A* conf
Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data.
ACM Multimedia
Le Jiang, Yan Huang, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu, Hau-San Wong
2024 J jnl
Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2024 A* conf
Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration.
CVPR
Lianxin Xie, Bingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong
2024 J jnl
Projected cross-view learning for unbalanced incomplete multi-view clustering.
Inf. Fusion
Yiran Cai, Hangjun Che, Baicheng Pan, Man-Fai Leung, Cheng Liu, Shiping Wen
2024 A conf
Reference-conditional Makeup-aware Discrimination for Face Image Beautification.
ICME
Zhenping Li, Si Wu, Xindian Wei, Qianfen Jiao, Cheng Liu, Rui Li
2024 A* conf
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention.
AAAI
Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong
2024 A* conf
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation.
IJCAI
Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong
2024 J jnl
SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction.
Briefings Bioinform.
Tianyi Chen, Xindian Wei, Lianxin Xie, Yunfei Zhang, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2024 J jnl
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection.
Inf. Fusion
Hao Liu, Runguo Wei, Geng Tu, Jiali Lin, Cheng Liu, Dazhi Jiang
2024 J jnl
Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2024 J jnl
Training multi-source domain adaptation network by mutual information estimation and minimization.
Neural Networks
Lisheng Wen, Sentao Chen, Mengying Xie, Cheng Liu, Lin Zheng
2023 J jnl
Adaptive graph nonnegative matrix factorization with the self-paced regularization.
Appl. Intell.
Xuanhao Yang, Hangjun Che, Man-Fai Leung, Cheng Liu
2023 J jnl
Collaborative learning-based unknown-class instance identification for open-set domain adaptation.
Inf. Sci.
Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong
2023 J jnl
Dynamic interactive multiview memory network for emotion recognition in conversation.
Inf. Fusion
Jintao Wen, Dazhi Jiang, Geng Tu, Cheng Liu, Erik Cambria
2023 J jnl
Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training.
Knowl. Based Syst.
Rui Li, Cheng Liu, Dazhi Jiang
2023 J jnl
GASN: gamma distribution test for driver genes identification based on similarity networks.
Connect. Sci.
Dazhi Jiang, Runguo Wei, Zhihui He, Senlin Lin, Cheng Liu, Yingqing Lin
2023 J jnl
Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints.
Inf. Sci.
Chenglu Li, Hangjun Che, Man-Fai Leung, Cheng Liu, Zheng Yan
2023 J jnl
Self-Supervised Graph Completion for Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong
2023 A* conf
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation.
CVPR
Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong
2023 J jnl
View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification.
IEEE Trans. Biomed. Eng.
Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022 J jnl
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022 B conf
Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network.
COLING
Rui Li, Cheng Liu, Dazhi Jiang
2022 J jnl
Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation.
IEEE Trans. Artif. Intell.
Geng Tu, Jintao Wen, Cheng Liu, Dazhi Jiang, Erik Cambria
2022 J jnl
GAN-Based Enhanced Deep Subspace Clustering Networks.
IEEE Trans. Knowl. Data Eng.
Zhiwen Yu, Zhongfan Zhang, Wenming Cao, Cheng Liu, C. L. Philip Chen, Hau-San Wong
2022 J jnl
Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition.
Appl. Soft Comput.
Sijin Zhou, Dongmin Huang, Cheng Liu, Dazhi Jiang
2022 J jnl
Perturbation-insensitive cross-domain image enhancement for low-quality face verification.
Inf. Sci.
Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
2022 B conf
Progressive Deep Subspace Clustering based on Sample Reliability.
SMC
Hang Gao, Yunshan Li, Cheng Liu
2022 A conf
Reliable Self-Supervised Information Mining for Deep Subspace Clustering.
ICME
Junjie Liang, Hang Gao, Haojun Sun, Rui Li, Cheng Liu
2022 J jnl
Repulsion and attraction in searching: A hybrid algorithm based on gravitational kernel and vital few for cancer driver gene prediction.
Comput. Biol. Medicine
Zhihui He, Yingqing Lin, Runguo Wei, Cheng Liu, Dazhi Jiang
2022 J jnl
Semisupervised Multiple Choice Learning for Ensemble Classification.
IEEE Trans. Cybern.
Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
2022 J jnl
Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022 J jnl
Unsupervised discriminative feature learning via finding a clustering-friendly embedding space.
Pattern Recognit.
Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong
2021 J jnl
A hybrid intelligent model for acute hypotensive episode prediction with large-scale data.
Inf. Sci.
Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou
2021 J jnl
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition.
Neurocomputing
Dongmin Huang, Sentao Chen, Cheng Liu, Lin Zheng, Zhihang Tian, Dazhi Jiang
2021 J jnl
Domain Invariant and Agnostic Adaptation.
Knowl. Based Syst.
Sentao Chen, Hanrui Wu, Cheng Liu
2021 J jnl
Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification.
IEEE Trans. Image Process.
Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
2021 A conf
Unsupervised Ensemble Learning Via Network Generation.
ICME
Zhongfan Zhang, Wenming Cao, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, C. L. Philip Chen, Hau-San Wong
2020 J jnl
Adaptive Regularized Semi-Supervised Clustering Ensemble.
IEEE Access
Rui Luo, Zhiwen Yu, Wenming Cao, Cheng Liu, Hau-San Wong, C. L. Philip Chen
2020 J jnl
Joint subspace and discriminative learning for self-paced domain adaptation.
Knowl. Based Syst.
Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2020 J jnl
Multitask Feature Selection by Graph-Clustered Feature Sharing.
IEEE Trans. Cybern.
Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong
2020 J jnl
Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration.
IEEE Trans. Image Process.
Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
2019 J jnl
Encoding sparse and competitive structures among tasks in multi-task learning.
Pattern Recognit.
Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong
2019 A* conf
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations.
IJCAI
Sheng Qian, Guanyue Li, Wen-ming Cao, Cheng Liu, Si Wu, Hau-San Wong
2019 A* conf
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification.
CVPR
Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong
2019 J jnl
Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cheng Liu, Hau-San Wong
2018 J jnl
Adaptive activation functions in convolutional neural networks.
Neurocomputing
Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong
2018 J jnl
Corpus-based topic diffusion for short text clustering.
Neurocomputing
Chutao Zheng, Cheng Liu, Hau-San Wong
2018 J jnl
Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection.
IEEE Trans. Image Process.
Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu
2017 — conf
Learning with Partially Shared Features for Multi-Task Learning.
ICONIP (5)
Cheng Liu, Wen-ming Cao, Chutao Zheng, Hau-San Wong
2015 B conf
Iterative Term Weighting for Short Text Data.
SMC
Chutao Zheng, Cheng Liu, Hau-San Wong