Guoqiang Zhong

130 papers A* 8A 4B 9Journal 80Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Deep Learning for Time Series Forecasting: Taxonomy, Analysis and Future Directions.
IEEE Trans. Knowl. Data Eng.
Qi Guo, Baolin Zhao, Mingchen Song, Guoqiang Zhong
2026 J jnl
A quantum neural network with built-in self-attention mechanism.
Neurocomputing
Shangshang Shi, Zhimin Wang, Jiaxin Li, Yanan Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu, Xin Huang
2026 J jnl
Progressively attentional architecture search.
Neurocomputing
Xuanmian Liu, Xianping Qin, Shu Li, Fuchang Zhang, Rachid Hedjam, Guoqiang Zhong
2025 J jnl
Convolutional Cross-Modal Autoencoder-Based Few-Shot Learning for Data Augmentation with Application to Alzheimer Dementia Diagnosis.
Cogn. Comput.
Othmane Bazine, Omar Rai, Oussama Aiadi, Rachid Hedjam, Belal Khaldi, Guoqiang Zhong
2025 J jnl
Dynamic Degradation Decomposition Network for All-in-One Image Restoration.
CoRR
Huiqiang Wang, Mingchen Song, Guoqiang Zhong
2025 J jnl
Few-Shot Vision-Language Action-Incremental Policy Learning.
CoRR
Mingchen Song, Xiang Deng, Guoqiang Zhong, Qi Lv, Jia Wan, Yinchuan Li, Jianye Hao, Weili Guan
2025 J jnl
GLADA: Global and Local Associative Domain Adaptation for EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst.
Tianxu Pan, Nuo Su, Jun Shan, Yang Tang, Guoqiang Zhong, Tianzi Jiang, Nianming Zuo
2025 J jnl
Generative neural architecture search.
Neurocomputing
Xiaotong Zhai, Shu Li, Guoqiang Zhong, Tao Li, Fuchang Zhang, Rachid Hedjam
2025 — conf
Meta-Unsupervised Representation Learning: A New Approach to Factorization and Interpretability.
Canadian AI
Ameer Ahmed Khan, Rachid Hedjam, Mebarka Allaoui, Guoqiang Zhong
2025 J jnl
Quantum Gated Recurrent Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yanan Li, Zhimin Wang, Ruipeng Xing, Changheng Shao, Shangshang Shi, Jiaxin Li, Guoqiang Zhong, Yongjian Gu
2025 — conf
SADN: Saliency-Based Attention Discrimination Network for Deepfake Detection.
PRCV (3)
Xuefei Wang, Dezhi Lu, Jiajia Dong, Rachid Hedjam, Guoqiang Zhong
2024 J jnl
Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation.
Cogn. Comput.
Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Shu Li, Zhiwei Xu
2024 J jnl
DewaterGAN: A Physics-Guided Unsupervised Image Water Removal for UAV in Coastal Zone.
IEEE Trans. Geosci. Remote. Sens.
Fengqin Yao, Fuzhi Tang, Xiandong Wang, Yuzhen Wang, Shengke Wang, Guoqiang Zhong, Jingfeng Zhang
2024 J jnl
MF-Net: Multi-frequency intrusion detection network for Internet traffic data.
Pattern Recognit.
Zhaoxu Ding, Guoqiang Zhong, Xianping Qin, Qingyang Li, Zhenlin Fan, Zhaoyang Deng, Xiao Ling, Wei Xiang
2024 J jnl
Matching Multi-Scale Feature Sets in Vision Transformer for Few-Shot Classification.
IEEE Trans. Circuits Syst. Video Technol.
Mingchen Song, Fengqin Yao, Guoqiang Zhong, Zhong Ji, Xiaowei Zhang
2024 A* conf
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning.
EMNLP
Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai
2024 J jnl
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning.
CoRR
Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai
2024 — conf
MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models.
NAACL-HLT (Findings)
Weihao You, Shuo Yin, Xudong Zhao, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai
2024 J jnl
Quantum convolutional neural networks for multiclass image classification.
Quantum Inf. Process.
Shangshang Shi, Zhimin Wang, Jiaxin Li, Yanan Li, Ruimin Shang, Guoqiang Zhong, Yongjian Gu
2024 — conf
SW-CAM: Class Activation Map with Feature Map Selection and Weight Modification.
CVIPPR
Shaowei Qu, Rachid Hedjam, Zhimin Wang, Yongjian Gu, Lifan Yao, Haitao Li, Guoqiang Zhong
2024 A* conf
Self-Prompt Mechanism for Few-Shot Image Recognition.
AAAI
Mingchen Song, Huiqiang Wang, Guoqiang Zhong
2024 A* conf
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis.
AAAI
Shuo Yin, Guoqiang Zhong
2023 J jnl
DLW-NAS: Differentiable Light-Weight Neural Architecture Search.
Cogn. Comput.
Shu Li, Yuxu Mao, Fuchang Zhang, Dong Wang, Guoqiang Zhong
2023 J jnl
Deep Error-Correcting Output Codes.
Algorithms
Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong, Guoqiang Zhong
2023 J jnl
Hybrid quantum-classical convolutional neural network for phytoplankton classification.
CoRR
Shangshang Shi, Zhimin Wang, Ruimin Shang, Yanan Li, Jiaxin Li, Guoqiang Zhong, Yongjian Gu
2023 A* conf
LGI-GT: Graph Transformers with Local and Global Operators Interleaving.
IJCAI
Shuo Yin, Guoqiang Zhong
2023 J jnl
Lightweight network learning with Zero-Shot Neural Architecture Search for UAV images.
Knowl. Based Syst.
Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Leon Bevan Bullock, Zhiwei Xu, Junyu Dong
2023 J jnl
Ocean Front Detection With Bi-Directional Progressive Fusion Attention Network.
IEEE Geosci. Remote. Sens. Lett.
Jing Zhu, Qingyang Li, Cui Xie, Guoqiang Zhong
2023 J jnl
Quantum Recurrent Neural Networks for Sequential Learning.
CoRR
Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu
2023 J jnl
Quantum recurrent neural networks for sequential learning.
Neural Networks
Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu
2023 J jnl
Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data.
Neurocomputing
Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, Li-Na Wang, Hui Yu, Xiao Ling, Junyu Dong
2023 J jnl
Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence.
Algorithms
Li-Na Wang, Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet
2023 J jnl
Self-supervised generative learning for sequential data prediction.
Appl. Intell.
Ke Xu, Guoqiang Zhong, Zhaoyang Deng, Kang Zhang, Kaizhu Huang
2022 J jnl
Adaptive Gabor convolutional networks.
Pattern Recognit.
Ye Yuan, Li-Na Wang, Guoqiang Zhong, Wei Gao, Wencong Jiao, Junyu Dong, Biao Shen, Dongdong Xia, Wei Xiang
2022 J jnl
Category Relevance Redirection Network for Few-Shot Classification.
IEEE Access
Xiangtao Tian, Zhengli Zhao, Peng Jiang, Jianxin Wu, Guoqiang Zhong
2022 B conf
Deep Discriminative Hashing Networks on Point-wise Labels for Image Retrieval.
ICPR
Zhenchao Chen, Guoqiang Zhong, Jianzhang Qu, Haizhen Wang
2022 J jnl
FFNet: Feature Fusion Network for Few-shot Semantic Segmentation.
Cogn. Comput.
Ya-Nan Wang, Xiangtao Tian, Guoqiang Zhong
2022 J jnl
Face image-sketch synthesis via generative adversarial fusion.
Neural Networks
Jianyuan Sun, Hongchuan Yu, Jian J. Zhang, Junyu Dong, Hui Yu, Guoqiang Zhong
2022 J jnl
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network.
Cogn. Comput.
Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang
2022 J jnl
Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency.
IEEE Trans. Cybern.
Jianyuan Sun, Hui Yu, Guoqiang Zhong, Junyu Dong, Shu Zhang, Hongchuan Yu
2022 — conf
SteelyGAN: Semantic Unsupervised Symbolic Music Genre Transfer.
PRCV (1)
Zhaoxu Ding, Xiang Liu, Guoqiang Zhong, Dong Wang
2022 J jnl
Text Classification with Attention Gated Graph Neural Network.
Cogn. Comput.
Zhaoyang Deng, Chenxiang Sun, Guoqiang Zhong, Yuxu Mao
2022 — conf
Underwater Object Detection Using Restructured SSD.
CICAI (1)
Andi Huang, Guoqiang Zhong, Hao Li, Daewon Choi
2022 J jnl
Weak Edge Identification Network for Ocean Front Detection.
IEEE Geosci. Remote. Sens. Lett.
Qingyang Li, Guoqiang Zhong, Cui Xie, Rachid Hedjam
2021 J jnl
A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency.
Cogn. Comput.
Qin Zhang, Guoqiang Zhong, Junyu Dong
2021 J jnl
A review on the attention mechanism of deep learning.
Neurocomputing
Zhaoyang Niu, Guoqiang Zhong, Hui Yu
2021 J jnl
Attention-Augmented Machine Memory.
Cogn. Comput.
Xin Lin, Guoqiang Zhong, Kang Chen, Qingyang Li, Kaizhu Huang
2021 — conf
Deep Architecture Compression with Automatic Clustering of Similar Neurons.
PRCV (4)
Xiang Liu, Wenxue Liu, Li-Na Wang, Guoqiang Zhong
2021 A conf
Differentiable Light-Weight Architecture Search.
ICME
Yuxu Mao, Guoqiang Zhong, Yanan Wang, Zhaoyang Deng
2021 J jnl
ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data.
Cogn. Comput.
Ying Ma, Guoqiang Zhong, Wen Liu, Yanan Wang, Peng Jiang, Rui Zhang
2020 — conf
A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection.
ICONIP (1)
Zhenlin Fan, Guoqiang Zhong, Haitao Li
2020 J jnl
Automatic DenseNet Sparsification.
IEEE Access
Tao Li, Wencong Jiao, Li-Na Wang, Guoqiang Zhong
2020 J jnl
Automatic Design of Deep Networks with Neural Blocks.
Cogn. Comput.
Guoqiang Zhong, Wencong Jiao, Wei Gao, Kaizhu Huang
2020 — conf
BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection.
ICONIP (4)
Qingyang Li, Zhenlin Fan, Guoqiang Zhong
2020 J jnl
Compressing Deep Networks by Neuron Agglomerative Clustering.
Sensors
Li-Na Wang, Wenxue Liu, Xiang Liu, Guoqiang Zhong, Partha Pratim Roy, Junyu Dong, Kaizhu Huang
2020 J jnl
DNA computing inspired deep networks design.
Neurocomputing
Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu
2020 B conf
EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data.
IJCNN
Zhenlin Fan, Guoqiang Zhong, Hongxu Wei, Haitao Li
2020 — conf
Feature Redirection Network for Few-Shot Classification.
ICONIP (4)
Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang
2020 J jnl
Generative adversarial networks with decoder-encoder output noises.
Neural Networks
Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang, Da-Han Wang, Kaizhu Huang
2020 J jnl
Generative adversarial networks with mixture of t-distributions noise for diverse image generation.
Neural Networks
Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang
2020 — conf
MCRN: A New Content-Based Music Classification and Recommendation Network.
ICONIP (4)
Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang
2020 J jnl
Merging Similar Neurons for Deep Networks Compression.
Cogn. Comput.
Guoqiang Zhong, Wenxue Liu, Hui Yao, Tao Li, Jinxuan Sun, Xiang Liu
2020 B conf
MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data.
IJCNN
Ying Ma, Guoqiang Zhong, Yanan Wang, Wen Liu
2020 J jnl
Neural CAPTCHA networks.
Appl. Soft Comput.
Ying Ma, Guoqiang Zhong, Wen Liu, Jinxuan Sun, Kaizhu Huang
2020 J jnl
Progressively Unfreezing Perceptual GAN.
CoRR
Jinxuan Sun, Yang Chen, Junyu Dong, Guoqiang Zhong
2019 — conf
Attention Recurrent Neural Networks for Image-Based Sequence Text Recognition.
ACPR (1)
Guoqiang Zhong, Guohua Yue
2019 — conf
AutoML for DenseNet Compression.
ICONIP (3)
Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang
2019 — conf
Enhanced LSTM with Batch Normalization.
ICONIP (1)
Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang
2019 J jnl
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures.
WIREs Data Mining Knowl. Discov.
Guoqiang Zhong, Xiao Ling, Li-Na Wang
2019 J jnl
Incremental Layers Resection: A Novel Method to Compress Neural Networks.
IEEE Access
Xiang Liu, Li-Na Wang, Wenxue Liu, Guoqiang Zhong
2019 — conf
Learnable Gabor Convolutional Networks.
ICONIP (4)
Guoqiang Zhong, Wei Gao, Wencong Jiao, Biao Shen, Dongdong Xia
2019 — conf
Long Short-Term Attention.
BICS
Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang
2019 J jnl
Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models.
IEEE Access
Guoqiang Zhong, Kang Zhang, Hongxu Wei, Yuchen Zheng, Junyu Dong
2019 — conf
Recovering Super-Resolution Generative Adversarial Network for Underwater Images.
ICONIP (4)
Yang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong
2019 J jnl
SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data.
CoRR
Zhenlin Fan, Guoqiang Zhong
2019 J jnl
Weak Edge Identification Nets for Ocean Front Detection.
CoRR
Qingyang Li, Guoqiang Zhong, Cui Xie
2018 J jnl
An anchor-based spectral clustering method.
Frontiers Inf. Technol. Electron. Eng.
Qin Zhang, Guoqiang Zhong, Junyu Dong
2018 J jnl
Banzhaf random forests: Cooperative game theory based random forests with consistency.
Neural Networks
Jianyuan Sun, Guoqiang Zhong, Kaizhu Huang, Junyu Dong
2018 B conf
Convolutional Discriminant Analysis.
ICPR
Guoqiang Zhong, Yan Zheng, Xu-Yao Zhang, Hongxu Wei, Xiao Ling
2018 — conf
Deep Gabor Scattering Network for Image Classification.
PRCV (2)
Lina Wang, Benxiu Liu, Haizhen Wang, Guoqiang Zhong, Junyu Dong
2018 J jnl
Generative Adversarial Networks with Decoder-Encoder Output Noise.
CoRR
Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang
2018 J jnl
Long Short-Term Attention.
CoRR
Guoqiang Zhong, Xin Lin, Kang Chen
2018 B conf
Merging Neurons for Structure Compression of Deep Networks.
ICPR
Guoqiang Zhong, Hui Yao, Huiyu Zhou
2018 — conf
MusicCNNs: A New Benchmark on Content-Based Music Recommendation.
ICONIP (1)
Guoqiang Zhong, Haizhen Wang, Wencong Jiao
2018 J jnl
Natural image illuminant estimation via deep non-negative matrix factorisation.
IET Image Process.
Xiaopeng Liu, Guoqiang Zhong, Junyu Dong
2018 J jnl
Recurrent Attention Unit.
CoRR
Guoqiang Zhong, Guohua Yue, Xiao Ling
2018 J jnl
Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification.
Cogn. Comput.
Guoqiang Zhong, Shoujun Yan, Kaizhu Huang, Yajuan Cai, Junyu Dong
2018 J jnl
SLMOML: Online Metric Learning With Global Convergence.
IEEE Trans. Circuits Syst. Video Technol.
Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu
2018 — conf
Stock Market Prediction Based on Generative Adversarial Network.
IIKI
Kang Zhang, Guoqiang Zhong, Junyu Dong, Shengke Wang, Yong Wang
2018 J jnl
Structure Learning of Deep Networks via DNA Computing Algorithm.
CoRR
Guoqiang Zhong, Tao Li, Wenxue Liu, Yang Chen
2018 J jnl
Structure Learning of Deep Neural Networks with Q-Learning.
CoRR
Guoqiang Zhong, Wencong Jiao, Wei Gao
2018 J jnl
Student's t-Generative Adversarial Networks.
CoRR
Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo
2017 J jnl
Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks.
Remote. Sens.
Feng Gao, Xiaopeng Liu, Junyu Dong, Guoqiang Zhong, Muwei Jian
2017 J jnl
Cooperative Profit Random Forests With Application in Ocean Front Recognition.
IEEE Access
Jianyuan Sun, Guoqiang Zhong, Junyu Dong, Hina Saeeda, Qin Zhang
2017 — conf
Marginal Deep Architectures.
ACPR
Guoqiang Zhong, Hongxu Wei, Yuchen Zheng, Junyu Dong
2017 J jnl
Perception Driven Texture Generation.
CoRR
Yanhai Gan, Huifang Chi, Ying Gao, Jun Liu, Guoqiang Zhong, Junyu Dong
2017 A conf
Perception driven texture generation.
ICME
Yanhai Gan, Huifang Chi, Ying Gao, Jun Liu, Guoqiang Zhong, Junyu Dong
2017 J jnl
Prediction of Sea Surface Temperature Using Long Short-Term Memory.
IEEE Geosci. Remote. Sens. Lett.
Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun
2017 J jnl
Prediction of Sea Surface Temperature using Long Short-Term Memory.
CoRR
Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun
2017 J jnl
Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data.
Image Vis. Comput.
Qin Zhang, Jianyuan Sun, Guoqiang Zhong, Junyu Dong
2017 J jnl
Tandem hidden Markov models using deep belief networks for offline handwriting recognition.
Frontiers Inf. Technol. Electron. Eng.
Partha Pratim Roy, Guoqiang Zhong, Mohamed Cheriet
2017 J jnl
Underwater image colour constancy based on DSNMF.
IET Image Process.
Xiaopeng Liu, Guoqiang Zhong, Cong Liu, Junyu Dong
2016 J jnl
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning.
CoRR
Guoqiang Zhong, Lina Wang, Junyu Dong
2016 B conf
Deep hashing learning networks.
IJCNN
Guoqiang Zhong, Hui Xu, Pan Yang, Sijiang Wang, Junyu Dong
2016 J jnl
Improving short text classification by learning vector representations of both words and hidden topics.
Knowl. Based Syst.
Heng Zhang, Guoqiang Zhong
2016 B conf
Learning perceptual texture similarity and relative attributes from computational features.
IJCNN
Jianwen Lou, Lin Qi, Junyu Dong, Hui Yu, Guoqiang Zhong
2016 B conf
Relational Fisher Analysis: A general framework for dimensionality reduction.
IJCNN
Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet
2016 B conf
Scalable large margin online metric learning.
IJCNN
Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu
2016 — conf
The Necessary and Sufficient Conditions for the Existence of the Optimal Solution of Trace Ratio Problems.
CCPR (1)
Guoqiang Zhong, Xiao Ling
2015 — conf
3D Texture Recognition for RGB-D Images.
CAIP (2)
Guoqiang Zhong, Xin Mao, Yaxin Shi, Junyu Dong
2015 J jnl
A Deep Hashing Learning Network.
CoRR
Guoqiang Zhong, Pan Yang, Sijiang Wang, Junyu Dong
2015 J jnl
A PCA-Based Convolutional Network.
CoRR
Yanhai Gan, Jun Liu, Junyu Dong, Guoqiang Zhong
2015 J jnl
Banzhaf Random Forests.
CoRR
Jianyuan Sun, Guoqiang Zhong, Junyu Dong, Yajuan Cai
2015 — conf
Is DeCAF Good Enough for Accurate Image Classification?
ICONIP (2)
Yajuan Cai, Guoqiang Zhong, Yuchen Zheng, Kaizhu Huang, Junyu Dong
2015 — conf
Self-taught recovery of depth data.
APSIPA
Pan Yang, Haoran Zhao, Lin Qi, Guoqiang Zhong
2015 A conf
Stretching deep architectures for text recognition.
ICDAR
Yuchen Zheng, Yajuan Cai, Guoqiang Zhong, Youssouf Chherawala, Yaxin Shi, Junyu Dong
2015 J jnl
Tensor representation learning based image patch analysis for text identification and recognition.
Pattern Recognit.
Guoqiang Zhong, Mohamed Cheriet
2014 J jnl
Large Margin Low Rank Tensor Analysis.
Neural Comput.
Guoqiang Zhong, Mohamed Cheriet
2014 — ch.
Low Rank Tensor Manifold Learning.
Low-Rank and Sparse Modeling for Visual Analysis
Guoqiang Zhong, Mohamed Cheriet
2014 A* conf
Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery.
AAAI
Chengcheng Jia, Guoqiang Zhong, Yun Raymond Fu
2014 — conf
Visual Texture Perception with Feature Learning Models and Deep Architectures.
CCPR (1)
Yuchen Zheng, Guoqiang Zhong, Jun Liu, Xiaoxu Cai, Junyu Dong
2013 A* conf
Adaptive Error-Correcting Output Codes.
IJCAI
Guoqiang Zhong, Mohamed Cheriet
2013 A conf
An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition.
ICDAR
Guoqiang Zhong, Youssouf Chherawala, Mohamed Cheriet
2013 J jnl
Error-correcting output codes based ensemble feature extraction.
Pattern Recognit.
Guoqiang Zhong, Cheng-Lin Liu
2013 J jnl
Large Margin Low Rank Tensor Analysis.
CoRR
Guoqiang Zhong, Mohamed Cheriet
2012 — conf
Image patches analysis for text block identification.
ISSPA
Guoqiang Zhong, Mohamed Cheriet
2012 J jnl
Joint learning of error-correcting output codes and dichotomizers from data.
Neural Comput. Appl.
Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu
2011 A* conf
Low Rank Metric Learning with Manifold Regularization.
ICDM
Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu
2010 A* conf
Gaussian Process Latent Random Field.
AAAI
Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu
2010 — conf
Learning ECOC and Dichotomizers Jointly from Data.
ICONIP (1)
Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu