Gaussian Process Latent Random Field. - Guoqiang Zhong 001; Wu-Jun Li; Dit-Yan Yeung; Xinwen Hou; Cheng-Lin Liu 001 (AAAI, 2010)

Learning ECOC and Dichotomizers Jointly from Data. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICONIP (1), 2010)

Low Rank Metric Learning with Manifold Regularization. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICDM, 2011)

Image patches analysis for text block identification. - Guoqiang Zhong 001; Mohamed Cheriet (ISSPA, 2012)

Joint learning of error-correcting output codes and dichotomizers from data. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (Neural Comput. Appl., 2012)

An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition. - Guoqiang Zhong 001; Youssouf Chherawala; Mohamed Cheriet (ICDAR, 2013)

Adaptive Error-Correcting Output Codes. - Guoqiang Zhong 001; Mohamed Cheriet (IJCAI, 2013)

Error-correcting output codes based ensemble feature extraction. - Guoqiang Zhong 001; Cheng-Lin Liu 001 (Pattern Recognit., 2013)

Low Rank Tensor Manifold Learning. - Guoqiang Zhong 001; Mohamed Cheriet (Low-Rank and Sparse Modeling for Visual Analysis, 2014)

Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery. - Chengcheng Jia; Guoqiang Zhong 001; Yun Raymond Fu (AAAI, 2014)

Visual Texture Perception with Feature Learning Models and Deep Architectures. - Yuchen Zheng; Guoqiang Zhong 001; Jun Liu 055; Xiaoxu Cai; Junyu Dong (CCPR (1), 2014)

Large Margin Low Rank Tensor Analysis. - Guoqiang Zhong 001; Mohamed Cheriet (Neural Comput., 2014)

Self-taught recovery of depth data. - Pan Yang 004; Haoran Zhao; Lin Qi 004; Guoqiang Zhong 001 (APSIPA, 2015)

3D Texture Recognition for RGB-D Images. - Guoqiang Zhong 001; Xin Mao; Yaxin Shi; Junyu Dong (CAIP (2), 2015)

Stretching deep architectures for text recognition. - Yuchen Zheng; Yajuan Cai; Guoqiang Zhong 001; Youssouf Chherawala; Yaxin Shi; Junyu Dong (ICDAR, 2015)

Is DeCAF Good Enough for Accurate Image Classification? - Yajuan Cai; Guoqiang Zhong 001; Yuchen Zheng; Kaizhu Huang; Junyu Dong (ICONIP (2), 2015)

A PCA-Based Convolutional Network. - Yanhai Gan; Jun Liu 055; Junyu Dong; Guoqiang Zhong 001 (CoRR, 2015)

Banzhaf Random Forests. - Jianyuan Sun; Guoqiang Zhong 001; Junyu Dong; Yajuan Cai (CoRR, 2015)

A Deep Hashing Learning Network. - Guoqiang Zhong 001; Pan Yang 004; Sijiang Wang; Junyu Dong (CoRR, 2015)

Tensor representation learning based image patch analysis for text identification and recognition. - Guoqiang Zhong 001; Mohamed Cheriet (Pattern Recognit., 2015)

The Necessary and Sufficient Conditions for the Existence of the Optimal Solution of Trace Ratio Problems. - Guoqiang Zhong 001; Xiao Ling (CCPR (1), 2016)

Learning perceptual texture similarity and relative attributes from computational features. - Jianwen Lou; Lin Qi 004; Junyu Dong; Hui Yu 001; Guoqiang Zhong 001 (IJCNN, 2016)

Relational Fisher Analysis: A general framework for dimensionality reduction. - Guoqiang Zhong 001; Yaxin Shi; Mohamed Cheriet (IJCNN, 2016)

Deep hashing learning networks. - Guoqiang Zhong 001; Hui Xu; Pan Yang 004; Sijiang Wang; Junyu Dong (IJCNN, 2016)

Scalable large margin online metric learning. - Guoqiang Zhong 001; Yan Zheng; Sheng Li 001; Yun Fu 001 (IJCNN, 2016)

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning. - Guoqiang Zhong 001; Lina Wang; Junyu Dong (CoRR, 2016)

Improving short text classification by learning vector representations of both words and hidden topics. - Heng Zhang; Guoqiang Zhong 001 (Knowl. Based Syst., 2016)

Marginal Deep Architectures. - Guoqiang Zhong 001; Hongxu Wei; Yuchen Zheng; Junyu Dong (ACPR, 2017)

Perception driven texture generation. - Yanhai Gan; Huifang Chi; Ying Gao 005; Jun Liu 055; Guoqiang Zhong 001; Junyu Dong (ICME, 2017)

Cooperative Profit Random Forests With Application in Ocean Front Recognition. - Jianyuan Sun; Guoqiang Zhong 001; Junyu Dong; Hina Saeeda; Qin Zhang 008 (IEEE Access, 2017)

Underwater image colour constancy based on DSNMF. - Xiaopeng Liu; Guoqiang Zhong 001; Cong Liu; Junyu Dong (IET Image Process., 2017)

Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data. - Qin Zhang 008; Jianyuan Sun; Guoqiang Zhong 001; Junyu Dong (Image Vis. Comput., 2017)

Tandem hidden Markov models using deep belief networks for offline handwriting recognition. - Partha Pratim Roy 001; Guoqiang Zhong 001; Mohamed Cheriet (Frontiers Inf. Technol. Electron. Eng., 2017)

Prediction of Sea Surface Temperature Using Long Short-Term Memory. - Qin Zhang 008; Hui Wang; Junyu Dong; Guoqiang Zhong 001; Xin Sun 003 (IEEE Geosci. Remote. Sens. Lett., 2017)

Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks. - Feng Gao 005; Xiaopeng Liu; Junyu Dong; Guoqiang Zhong 001; Muwei Jian (Remote. Sens., 2017)

MusicCNNs: A New Benchmark on Content-Based Music Recommendation. - Guoqiang Zhong 001; Haizhen Wang; Wencong Jiao (ICONIP (1), 2018)

Convolutional Discriminant Analysis. - Guoqiang Zhong 001; Yan Zheng; Xu-Yao Zhang; Hongxu Wei; Xiao Ling (ICPR, 2018)

Merging Neurons for Structure Compression of Deep Networks. - Guoqiang Zhong 001; Hui Yao; Huiyu Zhou 001 (ICPR, 2018)

Stock Market Prediction Based on Generative Adversarial Network. - Kang Zhang 007; Guoqiang Zhong 001; Junyu Dong; Shengke Wang; Yong Wang (IIKI, 2018)

Deep Gabor Scattering Network for Image Classification. - Lina Wang; Benxiu Liu; Haizhen Wang; Guoqiang Zhong 001; Junyu Dong (PRCV (2), 2018)

Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification. - Guoqiang Zhong 001; Shoujun Yan; Kaizhu Huang; Yajuan Cai; Junyu Dong (Cogn. Comput., 2018)

Generative Adversarial Networks with Decoder-Encoder Output Noise. - Guoqiang Zhong 001; Wei Gao; Yongbin Liu; Youzhao Yang (CoRR, 2018)

Structure Learning of Deep Networks via DNA Computing Algorithm. - Guoqiang Zhong 001; Tao Li 031; Wenxue Liu; Yang Chen 036 (CoRR, 2018)

Long Short-Term Attention. - Guoqiang Zhong 001; Xin Lin; Kang Chen (CoRR, 2018)

Recurrent Attention Unit. - Guoqiang Zhong 001; Guohua Yue; Xiao Ling (CoRR, 2018)

Structure Learning of Deep Neural Networks with Q-Learning. - Guoqiang Zhong 001; Wencong Jiao; Wei Gao (CoRR, 2018)

Student's t-Generative Adversarial Networks. - Jinxuan Sun; Guoqiang Zhong 001; Yang Chen 036; Yongbin Liu; Tao Li 031; Zhongwen Guo (CoRR, 2018)

Natural image illuminant estimation via deep non-negative matrix factorisation. - Xiaopeng Liu; Guoqiang Zhong 001; Junyu Dong (IET Image Process., 2018)

An anchor-based spectral clustering method. - Qin Zhang 008; Guoqiang Zhong 001; Junyu Dong (Frontiers Inf. Technol. Electron. Eng., 2018)

Banzhaf random forests: Cooperative game theory based random forests with consistency. - Jianyuan Sun; Guoqiang Zhong 001; Kaizhu Huang; Junyu Dong (Neural Networks, 2018)

SLMOML: Online Metric Learning With Global Convergence. - Guoqiang Zhong 001; Yan Zheng; Sheng Li 001; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Attention Recurrent Neural Networks for Image-Based Sequence Text Recognition. - Guoqiang Zhong 001; Guohua Yue (ACPR (1), 2019)

Long Short-Term Attention. - Guoqiang Zhong 001; Xin Lin; Kang Chen; Qingyang Li; Kaizhu Huang (BICS, 2019)

Learnable Gabor Convolutional Networks. - Guoqiang Zhong 001; Wei Gao; Wencong Jiao; Biao Shen; Dongdong Xia (ICONIP (4), 2019)

Recovering Super-Resolution Generative Adversarial Network for Underwater Images. - Yang Chen 036; Jinxuan Sun; Wencong Jiao; Guoqiang Zhong 001 (ICONIP (4), 2019)

AutoML for DenseNet Compression. - Wencong Jiao; Tao Li 031; Guoqiang Zhong 001; Li-Na Wang (ICONIP (3), 2019)

Enhanced LSTM with Batch Normalization. - Li-Na Wang; Guoqiang Zhong 001; Shoujun Yan; Junyu Dong; Kaizhu Huang (ICONIP (1), 2019)

Incremental Layers Resection: A Novel Method to Compress Neural Networks. - Xiang Liu 012; Li-Na Wang; Wenxue Liu; Guoqiang Zhong 001 (IEEE Access, 2019)

Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models. - Guoqiang Zhong 001; Kang Zhang 007; Hongxu Wei; Yuchen Zheng; Junyu Dong (IEEE Access, 2019)

Weak Edge Identification Nets for Ocean Front Detection. - Qingyang Li; Guoqiang Zhong 001; Cui Xie (CoRR, 2019)

SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data. - Zhenlin Fan; Guoqiang Zhong 001 (CoRR, 2019)

From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures. - Guoqiang Zhong 001; Xiao Ling; Li-Na Wang (WIREs Data Mining Knowl. Discov., 2019)

A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection. - Zhenlin Fan; Guoqiang Zhong 001; Haitao Li (ICONIP (1), 2020)

BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection. - Qingyang Li; Zhenlin Fan; Guoqiang Zhong 001 (ICONIP (4), 2020)

MCRN: A New Content-Based Music Classification and Recommendation Network. - Yuxu Mao; Guoqiang Zhong 001; Haizhen Wang; Kaizhu Huang (ICONIP (4), 2020)

Feature Redirection Network for Few-Shot Classification. - Yanan Wang; Guoqiang Zhong 001; Yuxu Mao; Kaizhu Huang (ICONIP (4), 2020)

EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data. - Zhenlin Fan; Guoqiang Zhong 001; Hongxu Wei; Haitao Li (IJCNN, 2020)

MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data. - Ying Ma; Guoqiang Zhong 001; Yanan Wang; Wen Liu (IJCNN, 2020)

Automatic DenseNet Sparsification. - Tao Li 031; Wencong Jiao; Li-Na Wang; Guoqiang Zhong 001 (IEEE Access, 2020)

Neural CAPTCHA networks. - Ying Ma; Guoqiang Zhong 001; Wen Liu; Jinxuan Sun; Kaizhu Huang (Appl. Soft Comput., 2020)

Automatic Design of Deep Networks with Neural Blocks. - Guoqiang Zhong 001; Wencong Jiao; Wei Gao; Kaizhu Huang (Cogn. Comput., 2020)

Merging Similar Neurons for Deep Networks Compression. - Guoqiang Zhong 001; Wenxue Liu; Hui Yao; Tao Li 031; Jinxuan Sun; Xiang Liu 012 (Cogn. Comput., 2020)

Progressively Unfreezing Perceptual GAN. - Jinxuan Sun; Yang Chen 036; Junyu Dong; Guoqiang Zhong 001 (CoRR, 2020)

DNA computing inspired deep networks design. - Guoqiang Zhong 001; Tao Li 031; Wencong Jiao; Li-Na Wang; Junyu Dong; Cheng-Lin Liu 001 (Neurocomputing, 2020)

Generative adversarial networks with mixture of t-distributions noise for diverse image generation. - Jinxuan Sun; Guoqiang Zhong 001; Yang Chen 036; Yongbin Liu; Tao Li 031; Kaizhu Huang (Neural Networks, 2020)

Generative adversarial networks with decoder-encoder output noises. - Guoqiang Zhong 001; Wei Gao; Yongbin Liu; Youzhao Yang; Da-Han Wang; Kaizhu Huang (Neural Networks, 2020)

Compressing Deep Networks by Neuron Agglomerative Clustering. - Li-Na Wang; Wenxue Liu; Xiang Liu 012; Guoqiang Zhong 001; Partha Pratim Roy 001; Junyu Dong; Kaizhu Huang (Sensors, 2020)

Differentiable Light-Weight Architecture Search. - Yuxu Mao; Guoqiang Zhong 001; Yanan Wang; Zhaoyang Deng (ICME, 2021)

Deep Architecture Compression with Automatic Clustering of Similar Neurons. - Xiang Liu 012; Wenxue Liu; Li-Na Wang; Guoqiang Zhong 001 (PRCV (4), 2021)

Attention-Augmented Machine Memory. - Xin Lin; Guoqiang Zhong 001; Kang Chen; Qingyang Li; Kaizhu Huang (Cogn. Comput., 2021)

ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data. - Ying Ma; Guoqiang Zhong 001; Wen Liu; Yanan Wang; Peng Jiang; Rui Zhang (Cogn. Comput., 2021)

A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency. - Qin Zhang 008; Guoqiang Zhong 001; Junyu Dong (Cogn. Comput., 2021)

A review on the attention mechanism of deep learning. - Zhaoyang Niu; Guoqiang Zhong 001; Hui Yu 001 (Neurocomputing, 2021)

Underwater Object Detection Using Restructured SSD. - Andi Huang; Guoqiang Zhong 001; Hao Li; Daewon Choi (CICAI (1), 2022)

Deep Discriminative Hashing Networks on Point-wise Labels for Image Retrieval. - Zhenchao Chen; Guoqiang Zhong 001; Jianzhang Qu; Haizhen Wang (ICPR, 2022)

SteelyGAN: Semantic Unsupervised Symbolic Music Genre Transfer. - Zhaoxu Ding; Xiang Liu 012; Guoqiang Zhong 001; Dong Wang (PRCV (1), 2022)

Category Relevance Redirection Network for Few-Shot Classification. - Xiangtao Tian; Zhengli Zhao; Peng Jiang; Jianxin Wu 003; Guoqiang Zhong 001 (IEEE Access, 2022)

Text Classification with Attention Gated Graph Neural Network. - Zhaoyang Deng; Chenxiang Sun; Guoqiang Zhong 001; Yuxu Mao (Cogn. Comput., 2022)

Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network. - Yuxu Mao; Guoqiang Zhong 001; Haizhen Wang; Kaizhu Huang (Cogn. Comput., 2022)

FFNet: Feature Fusion Network for Few-shot Semantic Segmentation. - Ya-Nan Wang; Xiangtao Tian; Guoqiang Zhong 001 (Cogn. Comput., 2022)

Weak Edge Identification Network for Ocean Front Detection. - Qingyang Li; Guoqiang Zhong 001; Cui Xie; Rachid Hedjam (IEEE Geosci. Remote. Sens. Lett., 2022)

Face image-sketch synthesis via generative adversarial fusion. - Jianyuan Sun; Hongchuan Yu; Jian J. Zhang 001; Junyu Dong; Hui Yu 001; Guoqiang Zhong 001 (Neural Networks, 2022)

Adaptive Gabor convolutional networks. - Ye Yuan; Li-Na Wang; Guoqiang Zhong 001; Wei Gao; Wencong Jiao; Junyu Dong; Biao Shen; Dongdong Xia; Wei Xiang 001 (Pattern Recognit., 2022)

Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency. - Jianyuan Sun; Hui Yu 001; Guoqiang Zhong 001; Junyu Dong; Shu Zhang 002; Hongchuan Yu (IEEE Trans. Cybern., 2022)

LGI-GT: Graph Transformers with Local and Global Operators Interleaving. - Shuo Yin; Guoqiang Zhong 001 (IJCAI, 2023)

Deep Error-Correcting Output Codes. - Li-Na Wang; Hongxu Wei; Yuchen Zheng; Junyu Dong; Guoqiang Zhong 001 (Algorithms, 2023)

Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence. - Li-Na Wang; Guoqiang Zhong 001; Yaxin Shi; Mohamed Cheriet (Algorithms, 2023)

Hybrid quantum-classical convolutional neural network for phytoplankton classification. - Shangshang Shi; Zhimin Wang; Ruimin Shang; Yanan Li; Jiaxin Li; Guoqiang Zhong 001; Yongjian Gu (CoRR, 2023)

Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data. - Zhaoyang Niu; Guoqiang Zhong 001; Guohua Yue; Li-Na Wang; Hui Yu 001; Xiao Ling; Junyu Dong (Neurocomputing, 2023)

Lightweight network learning with Zero-Shot Neural Architecture Search for UAV images. - Fengqin Yao; Shengke Wang; Laihui Ding; Guoqiang Zhong 001; Leon Bevan Bullock; Zhiwei Xu; Junyu Dong (Knowl. Based Syst., 2023)

Ocean Front Detection With Bi-Directional Progressive Fusion Attention Network. - Jing Zhu; Qingyang Li; Cui Xie; Guoqiang Zhong 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

DLW-NAS: Differentiable Light-Weight Neural Architecture Search. - Shu Li; Yuxu Mao; Fuchang Zhang; Dong Wang; Guoqiang Zhong 001 (Cogn. Comput., 2023)

Self-supervised generative learning for sequential data prediction. - Ke Xu; Guoqiang Zhong 001; Zhaoyang Deng; Kang Zhang 007; Kaizhu Huang (Appl. Intell., 2023)

Quantum recurrent neural networks for sequential learning. - Yanan Li; Zhimin Wang; Rongbing Han; Shangshang Shi; Jiaxin Li; Ruimin Shang; Haiyong Zheng; Guoqiang Zhong 001; Yongjian Gu (Neural Networks, 2023)

Self-Prompt Mechanism for Few-Shot Image Recognition. - Mingchen Song; Huiqiang Wang; Guoqiang Zhong 001 (AAAI, 2024)

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis. - Shuo Yin; Guoqiang Zhong 001 (AAAI, 2024)

SW-CAM: Class Activation Map with Feature Map Selection and Weight Modification. - Shaowei Qu; Rachid Hedjam; Zhimin Wang; Yongjian Gu; Lifan Yao; Haitao Li; Guoqiang Zhong 001 (CVIPPR, 2024)

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning. - Shuo Yin; Weihao You; Zhilong Ji; Guoqiang Zhong 001; Jinfeng Bai (EMNLP, 2024)

MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models. - Weihao You; Shuo Yin; Xudong Zhao; Zhilong Ji; Guoqiang Zhong 001; Jinfeng Bai (NAACL-HLT (Findings), 2024)

DewaterGAN: A Physics-Guided Unsupervised Image Water Removal for UAV in Coastal Zone. - Fengqin Yao; Fuzhi Tang; Xiandong Wang; Yuzhen Wang; Shengke Wang; Guoqiang Zhong 001; Jingfeng Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation. - Fengqin Yao; Shengke Wang; Laihui Ding; Guoqiang Zhong 001; Shu Li; Zhiwei Xu (Cogn. Comput., 2024)

MF-Net: Multi-frequency intrusion detection network for Internet traffic data. - Zhaoxu Ding; Guoqiang Zhong 001; Xianping Qin; Qingyang Li; Zhenlin Fan; Zhaoyang Deng; Xiao Ling; Wei Xiang 001 (Pattern Recognit., 2024)

Quantum convolutional neural networks for multiclass image classification. - Shangshang Shi; Zhimin Wang; Jiaxin Li; Yanan Li; Ruimin Shang; Guoqiang Zhong 001; Yongjian Gu (Quantum Inf. Process., 2024)

Matching Multi-Scale Feature Sets in Vision Transformer for Few-Shot Classification. - Mingchen Song; Fengqin Yao; Guoqiang Zhong 001; Zhong Ji; Xiaowei Zhang 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Meta-Unsupervised Representation Learning: A New Approach to Factorization and Interpretability. - Ameer Ahmed Khan; Rachid Hedjam; Mebarka Allaoui; Guoqiang Zhong 001 (Canadian AI, 2025)

Generative neural architecture search. - Xiaotong Zhai; Shu Li; Guoqiang Zhong 001; Tao Li 031; Fuchang Zhang; Rachid Hedjam (Neurocomputing, 2025)

Convolutional Cross-Modal Autoencoder-Based Few-Shot Learning for Data Augmentation with Application to Alzheimer Dementia Diagnosis. - Othmane Bazine; Omar Rai; Oussama Aiadi; Rachid Hedjam; Belal Khaldi; Guoqiang Zhong 001 (Cogn. Comput., 2025)

Dynamic Degradation Decomposition Network for All-in-One Image Restoration. - Huiqiang Wang; Mingchen Song; Guoqiang Zhong 001 (CoRR, 2025)

GLADA: Global and Local Associative Domain Adaptation for EEG-Based Emotion Recognition. - Tianxu Pan; Nuo Su; Jun Shan; Yang Tang; Guoqiang Zhong 001; Tianzi Jiang; Nianming Zuo (IEEE Trans. Cogn. Dev. Syst., 2025)

Few-Shot Vision-Language Action-Incremental Policy Learning. - Mingchen Song; Xiang Deng; Guoqiang Zhong 001; Qi Lv 001; Jia Wan 001; Yinchuan Li; Jianye Hao; Weili Guan (CoRR, 2025)

Quantum Gated Recurrent Neural Networks. - Yanan Li; Zhimin Wang; Ruipeng Xing; Changheng Shao; Shangshang Shi; Jiaxin Li; Guoqiang Zhong 001; Yongjian Gu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)