Recognizing Human Emotional State Based on the Phase Information of the Two Dimensional Fractional Fourier Transform. - Lei Gao 001; Lin Qi 001; Enqing Chen; Xiaomin Mu; Ling Guan (PCM (2), 2010)

Discriminative Multiple Canonical Correlation Analysis for Multi-feature Information Fusion. - Lei Gao 001; Lin Qi 001; Enqing Chen; Ling Guan (ISM, 2012)

2D-FRFT Based Rotation Invariant Digital Image Watermarking. - Lei Gao 001; Lin Qi 001; Shouyi Yang; Yongjin Wang; Tie Yun; Ling Guan (ISM, 2012)

Generalized MMSD feature extraction using QR decomposition. - Ning Zheng; Lin Qi 001; Lei Gao 001; Ling Guan (VCIP, 2012)

Selecting Discriminative Features with Discriminative Multiple Canonical CorrelationAnalysis for Multi-Feature Information Fusion. - Lei Gao 001; Lin Qi 001; Ling Guan (BIOSIG, 2013)

The spatial shift operations on image reconstruction from 2D-FRFT information with application to SAR moving target detection. - Lei Gao 001; Lin Qi 001; Ling Guan (ChinaSIP, 2013)

Shearlet-based deconvolution under the framework of Bayesian. - Hong Zhang; Xiaomin Mu; Lei Gao 001 (ICIA, 2013)

Rotation Invariance in 2D-FRFT with Application to Digital Image Watermarking. - Lei Gao 001; Lin Qi 001; Yongjin Wang; Enqing Chen; Shouyi Yang; Ling Guan (J. Signal Process. Syst., 2013)

A fisher discriminant framework based on Kernel Entropy Component Analysis for feature extraction and emotion recognition. - Lei Gao 001; Lin Qi 001; Enqing Chen; Ling Guan (ICME Workshops, 2014)

A graph representation approach for selecting the optimal projection in information fusion. - Ling Guan; Lei Gao 001; Yun Tie; Lin Qi 001 (ChinaSIP, 2015)

Sparsity preserving multiple canonical correlation analysis with visual emotion recognition to multi-feature fusion. - Lei Gao 001; Lin Qi 001; Ling Guan (ICIP, 2015)

Information Fusion of Audio Emotion Recognition Based on Kernel Entropy Component Analysis in Canonical Correlation Space. - Lei Gao 001; Lin Qi 001; Ling Guan (ISM, 2015)

Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition. - Lei Gao 001; Lin Qi 001; Ling Guan (ICASSP, 2016)

A Novel Discriminative Framework Integrating Kernel Entropy Component Analysis and Discriminative Multiple Canonical Correlation for Information Fusion. - Lei Gao 001; Ling Guan; Lin Qi 001; Enqing Chen (ISM, 2016)

Posture Selection Based on Two-Layer AP with Application to Human Action Recognition Using HMM. - Mengyan Yuan; Enqing Chen; Lei Gao 001 (ISM, 2016)

Online Behavioral Analysis with Application to Emotion State Identification. - Lei Gao 001; Lin Qi 001; Ling Guan (IEEE Intell. Syst., 2016)

Information Fusion VIA Optimized KECA with Application to Audio Emotion Recognition. - Lei Gao 001; Ling Guan (CyberC, 2018)

Discriminative Robust Gaze Estimation Using Kernel-DMCCA Fusion. - Salah Rabba; Matthew J. Kyan; Lei Gao 001; Azhar Quddus; Ali Shahidi Zandi; Ling Guan (ISM, 2018)

Deep Reinforcement Learning with Parameterized Action Space for Object Detection. - Zheng Wu; Naimul Mefraz Khan; Lei Gao 001; Ling Guan (ISM, 2018)

Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration? - Ling Guan; Lei Gao 001; Nour El-Din El-Madany; Chengwu Liang (MIPR, 2018)

Discriminative Multiple Canonical Correlation Analysis for Information Fusion. - Lei Gao 001; Lin Qi 001; Enqing Chen; Ling Guan (IEEE Trans. Image Process., 2018)

A Discriminant Two-Dimensional Canonical Correlation Analysis. - Lei Gao 001; Ling Guan (CCECE, 2019)

Information Fusion via Multimodal Hashing with Discriminant Canonical Correlation Maximization. - Lei Gao 001; Ling Guan (ICIAR (2), 2019)

Information Fusion via Multimodal Hashing With Discriminant Correlation Maximization. - Lei Gao 001; Ling Guan (ICIP, 2019)

Information Fusion via Deep Cross-Modal Factor Analysis. - Lei Gao 001; Ling Guan (ISCAS, 2019)

Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (ISM, 2019)

A Spatiotemporal Heterogeneous Two-Stream Network for Action Recognition. - Enqing Chen; Xue Bai; Lei Gao 001; Haron Chweya Tinega; Yingqiang Ding (IEEE Access, 2019)

The Labeled Multiple Canonical Correlation Analysis for Information Fusion. - Lei Gao 001; Rui Zhang 010; Lin Qi 001; Enqing Chen; Ling Guan (IEEE Trans. Multim., 2019)

A Deep Manifold Representation for Information Discovery. - Lei Gao 001; Ling Guan (CCECE, 2020)

A Distinct Discriminant Canonical Correlation Analysis Network based Deep Information Quality Representation for Image Classification. - Lei Gao 001; Zheng Guo; Ling Guan (ICPR, 2020)

A Vertex-Edge Graph Convolutional Network for Skeleton-Based Action Recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (ISCAS, 2020)

Discriminative Robust Head-Pose and Gaze Estimation Using Kernel-DMCCA Features Fusion. - Salah Rabba; Matthew J. Kyan; Lei Gao 001; Azhar Quddus; Ali Shahidi Zandi; Ling Guan (Int. J. Semantic Comput., 2020)

Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition. - Qiang Liu; Enqing Chen; Lei Gao 001; Chengwu Liang; Hao Liu (Sensors, 2020)

A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis. - Lei Gao 001; Ling Guan (IEEE Signal Process. Lett., 2020)

2D-FRFT Based Frequency Shift-Invariant Digital Image Encryption. - Lei Gao 001; Lin Qi 001; Ling Guan (ICASSP, 2021)

A two-stream heterogeneous network for action recognition based on skeleton and RGB modalities. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (ISM, 2021)

A Novel Correntropy Analysis Method with Application to Multi-view Feature Representation. - Lei Gao 001; Ling Guan (MIPR, 2021)

A Manifold Semantic Canonical Correlation Framework for Effective Feature Fusion. - Zheng Guo; Lei Gao 001; Ling Guan (MIPR, 2021)

ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation. - Lei Gao 001; Zheng Guo; Ling Guan (CoRR, 2021)

Integrating vertex and edge features with Graph Convolutional Networks for skeleton-based action recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (Neurocomputing, 2021)

A discriminant kernel entropy-based framework for feature representation learning. - Lei Gao 001; Lin Qi 001; Ling Guan (J. Vis. Commun. Image Represent., 2021)

Hyperspectral Image Classification via Multi-Feature-Based Correlation Adaptive Representation. - Guichi Liu; Lei Gao 001; Lin Qi 001 (Remote. Sens., 2021)

The Property of Frequency Shift in 2D-FRFT Domain With Application to Image Encryption. - Lei Gao 001; Lin Qi 001; Ling Guan (IEEE Signal Process. Lett., 2021)

A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. - Kai Liu 032; Lei Gao 001; Naimul Mefraz Khan; Lin Qi 001; Ling Guan (IEEE Trans. Multim., 2021)

A Non Local Multi-Fiber Network For Action Anticipation In Videos. - Nour El-Din El-Madany; Lei Gao 001; Ling Guan (CCECE, 2022)

A Discriminant Correntropy Analysis For Multi-Feature Fusion. - Lei Gao 001; Ling Guan (CCECE, 2022)

Interpretable Learning-Based Multi-Modal Hashing Analysis for Multi-View Feature Representation Learning. - Lei Gao 001; Ling Guan (MIPR, 2022)

Interpretable Artificial Intelligence through Locality Guided Neural Networks. - Randy Tan; Lei Gao 001; Naimul Khan 001; Ling Guan (Neural Networks, 2022)

A Discriminative Vectorial Framework for Multi-Modal Feature Representation. - Lei Gao 001; Ling Guan (IEEE Trans. Multim., 2022)

Towards Efficient Multi-view Representation Learning. - Kai Liu 032; Zheng Guo; Lei Gao 001; Naimul Mefraz Khan; Ling Guan (ISM, 2023)

A Deep Discriminant Fractional-order Canonical Correlation Analysis For Information Fusion. - Lei Gao 001; Ling Guan (SDS, 2023)

Interpretability of Machine Learning: Recent Advances and Future Prospects. - Lei Gao 001; Ling Guan (IEEE Multim., 2023)

A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation. - Lei Gao 001; Ling Guan (ACM Trans. Intell. Syst. Technol., 2023)

An Efficient DDCCANet For Multi-view Representation Learning. - Zheng Guo; Lei Gao 001; Ling Guan (GCCE, 2024)

Mathematics-Inspired Learning: A Green Learning Model with Interpretable Properties. - Ling Guan; Lei Gao 001; Kai Liu 032; Zheng Guo (MIPR, 2024)

Enhancement of Neonatal Lung Pathology Classification Using Multi-view Feature Representation. - Ryan Tan; Thanh Hong-Phuoc; Lei Gao 001; Randy Tan; Sagarjit Aujla; Adel Mohamed; Ling Guan; Karthikeyan Umapathy; Naimul Mefraz Khan (MIPR, 2024)

An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning. - Lei Gao 001; Zheng Guo; Ling Guan (ACM Trans. Multim. Comput. Commun. Appl., 2024)

A discriminative multi-modal adaptation neural network model for video action recognition. - Lei Gao 001; Kai Liu 032; Ling Guan (Neural Networks, 2025)

Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing. - Lei Gao 001; Kai Liu 032; Zheng Guo; Ling Guan (ACM Trans. Multim. Comput. Commun. Appl., 2025)