Iterative Term Weighting for Short Text Data. - Chutao Zheng; Cheng Liu 001; Hau-San Wong (SMC, 2015)

Learning with Partially Shared Features for Multi-Task Learning. - Cheng Liu 001; Wen-Ming Cao 002; Chutao Zheng; Hau-San Wong (ICONIP (5), 2017)

Adaptive activation functions in convolutional neural networks. - Sheng Qian; Hua Liu; Cheng Liu 001; Si Wu 002; Hau-San Wong (Neurocomputing, 2018)

Corpus-based topic diffusion for short text clustering. - Chutao Zheng; Cheng Liu 001; Hau-San Wong (Neurocomputing, 2018)

Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. - Si Wu 002; Shufeng Wang; Robert Laganière; Cheng Liu 001; Hau-San Wong; Yong Xu 007 (IEEE Trans. Image Process., 2018)

Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. - Si Wu 002; Jichang Li; Cheng Liu 001; Zhiwen Yu 002; Hau-San Wong (CVPR, 2019)

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. - Sheng Qian; Guanyue Li; Wen-Ming Cao 002; Cheng Liu 001; Si Wu 002; Hau-San Wong (IJCAI, 2019)

Encoding sparse and competitive structures among tasks in multi-task learning. - Cheng Liu 001; Chutao Zheng; Sheng Qian; Si Wu 002; Hau-San Wong (Pattern Recognit., 2019)

Structured Penalized Logistic Regression for Gene Selection in Gene Expression Data Analysis. - Cheng Liu 001; Hau-San Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Adaptive Regularized Semi-Supervised Clustering Ensemble. - Rui Luo; Zhiwen Yu 002; Wenming Cao 002; Cheng Liu 001; Hau-San Wong; C. L. Philip Chen (IEEE Access, 2020)

Joint subspace and discriminative learning for self-paced domain adaptation. - Cheng Liu 001; Si Wu 002; Wenming Cao 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (Knowl. Based Syst., 2020)

Multitask Feature Selection by Graph-Clustered Feature Sharing. - Cheng Liu 001; Chutao Zheng; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Cybern., 2020)

Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration. - Jichang Li; Si Wu 002; Cheng Liu 001; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Image Process., 2020)

Unsupervised Ensemble Learning Via Network Generation. - Zhongfan Zhang; Wenming Cao 002; Cheng Liu 001; Rui Li 045; Qianfen Jiao; Zhiwen Yu 002; C. L. Philip Chen; Hau-San Wong (ICME, 2021)

Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition. - Dongmin Huang; Sentao Chen; Cheng Liu 001; Lin Zheng 003; Zhihang Tian; Dazhi Jiang (Neurocomputing, 2021)

A hybrid intelligent model for acute hypotensive episode prediction with large-scale data. - Dazhi Jiang; Geng Tu; Donghui Jin; Kaichao Wu; Cheng Liu 001; Lin Zheng 003; Teng Zhou (Inf. Sci., 2021)

Domain Invariant and Agnostic Adaptation. - Sentao Chen; Hanrui Wu; Cheng Liu 001 (Knowl. Based Syst., 2021)

Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. - Haohong Zhou; Mohamed Azzam; Jian Zhong; Cheng Liu 001; Si Wu 002; Hau-San Wong (IEEE Trans. Image Process., 2021)

Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network. - Rui Li 045; Cheng Liu 001; Dazhi Jiang (COLING, 2022)

Reliable Self-Supervised Information Mining for Deep Subspace Clustering. - Junjie Liang; Hang Gao; Haojun Sun; Rui Li 045; Cheng Liu 001 (ICME, 2022)

Progressive Deep Subspace Clustering based on Sample Reliability. - Hang Gao; Yunshan Li; Cheng Liu 001 (SMC, 2022)

Objectivity meets subjectivity: A subjective and objective feature fused neural network for emotion recognition. - Sijin Zhou; Dongmin Huang; Cheng Liu 001; Dazhi Jiang (Appl. Soft Comput., 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 001; Dazhi Jiang (Comput. Biol. Medicine, 2022)

Perturbation-insensitive cross-domain image enhancement for low-quality face verification. - Qianfen Jiao; Jian Zhong; Cheng Liu 001; Si Wu 002; Hau-San Wong (Inf. Sci., 2022)

Unsupervised discriminative feature learning via finding a clustering-friendly embedding space. - Wenming Cao 002; Zhongfan Zhang; Cheng Liu 001; Rui Li 045; Qianfen Jiao; Zhiwen Yu 002; Hau-San Wong (Pattern Recognit., 2022)

Context- and Sentiment-Aware Networks for Emotion Recognition in Conversation. - Geng Tu; Jintao Wen; Cheng Liu 001; Dazhi Jiang; Erik Cambria (IEEE Trans. Artif. Intell., 2022)

Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. - Cheng Liu 001; Wenming Cao 002; Si Wu 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Semisupervised Multiple Choice Learning for Ensemble Classification. - Jian Zhong; Xiangping Zeng; Wenming Cao 002; Si Wu 002; Cheng Liu 001; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Cybern., 2022)

GAN-Based Enhanced Deep Subspace Clustering Networks. - Zhiwen Yu 002; Zhongfan Zhang; Wenming Cao 002; Cheng Liu 001; C. L. Philip Chen; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2022)

Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. - Cheng Liu 001; Wenming Cao 002; Si Wu 002; Wenjun Shen; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. - Xiwen Wei; Zhen Xu; Cheng Liu 001; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (CVPR, 2023)

Dynamic interactive multiview memory network for emotion recognition in conversation. - Jintao Wen; Dazhi Jiang; Geng Tu; Cheng Liu 001; Erik Cambria (Inf. Fusion, 2023)

View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. - Cheng Liu 001; Si Wu 002; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Biomed. Eng., 2023)

Adaptive graph nonnegative matrix factorization with the self-paced regularization. - Xuanhao Yang; Hangjun Che; Man-Fai Leung; Cheng Liu 001 (Appl. Intell., 2023)

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints. - Chenglu Li; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Zheng Yan 001 (Inf. Sci., 2023)

Self-Supervised Graph Completion for Incomplete Multi-View Clustering. - Cheng Liu 001; Si Wu 002; Rui Li 045; Dazhi Jiang; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2023)

Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training. - Rui Li 045; Cheng Liu 001; Dazhi Jiang (Knowl. Based Syst., 2023)

GASN: gamma distribution test for driver genes identification based on similarity networks. - Dazhi Jiang; Runguo Wei; Zhihui He; Senlin Lin; Cheng Liu 001; Yingqing Lin (Connect. Sci., 2023)

Collaborative learning-based unknown-class instance identification for open-set domain adaptation. - Jiaxin Li; Haohong Zhou; Si Wu 002; Cheng Liu 001; Hau-San Wong (Inf. Sci., 2023)

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. - Xue Wen; Lianxin Xie; Le Jiang; Tianyi Chen; Si Wu 002; Cheng Liu 001; Hau-San Wong (AAAI, 2024)

Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning. - Rui Li 045; Cheng Liu 001; Yu Tong; Jiang Dazhi (LREC/COLING, 2024)

Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. - Lianxin Xie; Bingbing Zheng; Wen Xue; Le Jiang; Cheng Liu 001; Si Wu 002; Hau-San Wong (CVPR, 2024)

Reference-conditional Makeup-aware Discrimination for Face Image Beautification. - Zhenping Li; Si Wu 002; Xindian Wei; Qianfen Jiao; Cheng Liu 001; Rui Li 045 (ICME, 2024)

SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. - Lu Lin; Wen Xue; Xindian Wei; Wenjun Shen; Cheng Liu 001; Si Wu 002; Hau-San Wong (IJCAI, 2024)

Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. - Le Jiang; Yan Huang 031; Lianxin Xie; Wen Xue; Cheng Liu 001; Si Wu 002; Hau-San Wong (ACM Multimedia, 2024)

Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering. - Xibiao Wang; Hang Gao; Xindian Wei; Liang Peng; Rui Li 045; Cheng Liu 001; Si Wu 002; Hau-San Wong (ACM Multimedia, 2024)

SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction. - Tianyi Chen; Xindian Wei; Lianxin Xie; Yunfei Zhang; Cheng Liu 001; Wenjun Shen; Si Wu 002; Hau-San Wong (Briefings Bioinform., 2024)

Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection. - Hao Liu 080; Runguo Wei; Geng Tu; Jiali Lin; Cheng Liu 001; Dazhi Jiang (Inf. Fusion, 2024)

Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. - Jian Zhong; Qianfen Jiao; Si Wu 002; Cheng Liu 001; Hau-San Wong (Knowl. Based Syst., 2024)

Training multi-source domain adaptation network by mutual information estimation and minimization. - Lisheng Wen; Sentao Chen; Mengying Xie; Cheng Liu 001; Lin Zheng 003 (Neural Networks, 2024)

Collaborative Structure-Preserved Missing Data Imputation for Single-Cell RNA-Seq Clustering. - Hang Gao; Wenjun Shen; Rui Li 045; Cheng Liu 001; Si Wu 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Adaptive dual graph regularization for clustered multi-task learning. - Cheng Liu 001; Rui Li 045; Sentao Chen; Lin Zheng 003; Dazhi Jiang (Neurocomputing, 2024)

Centric graph regularized log-norm sparse non-negative matrix factorization for multi-view clustering. - Yuzhu Dong; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Zheng Yan 001 (Signal Process., 2024)

Projected cross-view learning for unbalanced incomplete multi-view clustering. - Yiran Cai; Hangjun Che; Baicheng Pan; Man-Fai Leung; Cheng Liu 001; Shiping Wen 001 (Inf. Fusion, 2024)

Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. - Cheng Liu 001; Rui Li 045; Si Wu 002; Hangjun Che; Dazhi Jiang; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. - Cheng Liu 001; Rui Li 045; Hangjun Che; Man-Fai Leung; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2024)

Prompt-augmented Feature with Cross-domain Contrastive Learning for Efficient Multi-domain Sentiment Analysis. - Rui Li 045; Tao Yang; Cheng Liu 001; Dazhi Jiang; Hau-San Wong; Si Wu 002 (ICASSP, 2025)

Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization. - Jiyang Yu; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Wenhui Wu; Zheng Yan 001 (Big Data Min. Anal., 2025)

Diverse Semantic Image Synthesis with various conditioning modalities. - Chaoyue Wu; Rui Li 045; Cheng Liu 001; Si Wu 002; Hau-San Wong (Knowl. Based Syst., 2025)

Two-step graph propagation for incomplete multi-view clustering. - Xiao Zhang; Xinyu Pu; Hangjun Che; Cheng Liu 001; Jun Qin (Neural Networks, 2025)

Auto-Weighted Multi-View Deep Non-Negative Matrix Factorization With Multi-Kernel Learning. - Xuanhao Yang; Hangjun Che; Man-Fai Leung; Cheng Liu 001; Shiping Wen 001 (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering. - Cheng Liu 001; Rui Li 045; Hangjun Che; Man-Fai Leung; Si Wu 002; Zhiwen Yu 002; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2025)