Guoqiang Zhong

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 101

Top Venues

Publications

Shuo Yin, Guoqiang Zhong
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis. AAAI (2024)
Shaowei Qu, Rachid Hedjam, Zhimin Wang, Yongjian Gu, Lifan Yao, Haitao Li, Guoqiang Zhong
SW-CAM: Class Activation Map with Feature Map Selection and Weight Modification. CVIPPR (2024)
Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Shu Li, Zhiwei Xu
Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic Segmentation. Cogn. Comput. 16 (1) (2024)
Mingchen Song, Huiqiang Wang, Guoqiang Zhong
Self-Prompt Mechanism for Few-Shot Image Recognition. AAAI (2024)
Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning. CoRR (2024)
Shangshang Shi, Zhimin Wang, Jiaxin Li, Yanan Li, Ruimin Shang, Guoqiang Zhong, Yongjian Gu
Quantum convolutional neural networks for multiclass image classification. Quantum Inf. Process. 23 (5) (2024)
Zhaoxu Ding, Guoqiang Zhong, Xianping Qin, Qingyang Li, Zhenlin Fan, Zhaoyang Deng, Xiao Ling, Wei Xiang
MF-Net: Multi-frequency intrusion detection network for Internet traffic data. Pattern Recognit. 146 (2024)
Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong, Guoqiang Zhong
Deep Error-Correcting Output Codes. Algorithms 16 (12) (2023)
Ke Xu, Guoqiang Zhong, Zhaoyang Deng, Kang Zhang, Kaizhu Huang
Self-supervised generative learning for sequential data prediction. Appl. Intell. 53 (18) (2023)
Li-Na Wang, Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet
Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence. Algorithms 16 (11) (2023)
Shu Li, Yuxu Mao, Fuchang Zhang, Dong Wang, Guoqiang Zhong
DLW-NAS: Differentiable Light-Weight Neural Architecture Search. Cogn. Comput. 15 (2) (2023)
Jing Zhu, Qingyang Li, Cui Xie, Guoqiang Zhong
Ocean Front Detection With Bi-Directional Progressive Fusion Attention Network. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Shuo Yin, Guoqiang Zhong
LGI-GT: Graph Transformers with Local and Global Operators Interleaving. IJCAI (2023)
Shangshang Shi, Zhimin Wang, Ruimin Shang, Yanan Li, Jiaxin Li, Guoqiang Zhong, Yongjian Gu
Hybrid quantum-classical convolutional neural network for phytoplankton classification. CoRR (2023)
Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu
Quantum Recurrent Neural Networks for Sequential Learning. CoRR (2023)
Zhaoyang Niu, Guoqiang Zhong, Guohua Yue, Li-Na Wang, Hui Yu, Xiao Ling, Junyu Dong
Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential data. Neurocomputing 517 (2023)
Yanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu
Quantum recurrent neural networks for sequential learning. Neural Networks 166 (2023)
Fengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong, Leon Bevan Bullock, Zhiwei Xu, Junyu Dong
Lightweight network learning with Zero-Shot Neural Architecture Search for UAV images. Knowl. Based Syst. 260 (2023)
Jianyuan Sun, Hongchuan Yu, Jian J. Zhang, Junyu Dong, Hui Yu, Guoqiang Zhong
Face image-sketch synthesis via generative adversarial fusion. Neural Networks 154 (2022)
Andi Huang, Guoqiang Zhong, Hao Li, Daewon Choi
Underwater Object Detection Using Restructured SSD. CICAI (1) (2022)
Jianyuan Sun, Hui Yu, Guoqiang Zhong, Junyu Dong, Shu Zhang, Hongchuan Yu
Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency. IEEE Trans. Cybern. 52 (1) (2022)
Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang
Music-CRN: an Efficient Content-Based Music Classification and Recommendation Network. Cogn. Comput. 14 (6) (2022)
Zhaoyang Deng, Chenxiang Sun, Guoqiang Zhong, Yuxu Mao
Text Classification with Attention Gated Graph Neural Network. Cogn. Comput. 14 (4) (2022)
Qingyang Li, Guoqiang Zhong, Cui Xie, Rachid Hedjam
Weak Edge Identification Network for Ocean Front Detection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Ya-Nan Wang, Xiangtao Tian, Guoqiang Zhong
FFNet: Feature Fusion Network for Few-shot Semantic Segmentation. Cogn. Comput. 14 (2) (2022)
Xiangtao Tian, Zhengli Zhao, Peng Jiang, Jianxin Wu, Guoqiang Zhong
Category Relevance Redirection Network for Few-Shot Classification. IEEE Access 10 (2022)
Ye Yuan, Li-Na Wang, Guoqiang Zhong, Wei Gao, Wencong Jiao, Junyu Dong, Biao Shen, Dongdong Xia, Wei Xiang
Adaptive Gabor convolutional networks. Pattern Recognit. 124 (2022)
Zhenchao Chen, Guoqiang Zhong, Jianzhang Qu, Haizhen Wang
Deep Discriminative Hashing Networks on Point-wise Labels for Image Retrieval. ICPR (2022)
Zhaoyang Niu, Guoqiang Zhong, Hui Yu
A review on the attention mechanism of deep learning. Neurocomputing 452 (2021)
Xin Lin, Guoqiang Zhong, Kang Chen, Qingyang Li, Kaizhu Huang
Attention-Augmented Machine Memory. Cogn. Comput. 13 (3) (2021)
Yuxu Mao, Guoqiang Zhong, Yanan Wang, Zhaoyang Deng
Differentiable Light-Weight Architecture Search. ICME (2021)
Ying Ma, Guoqiang Zhong, Wen Liu, Yanan Wang, Peng Jiang, Rui Zhang
ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data. Cogn. Comput. 13 (2) (2021)
Xiang Liu, Wenxue Liu, Li-Na Wang, Guoqiang Zhong
Deep Architecture Compression with Automatic Clustering of Similar Neurons. PRCV (4) (2021)
Qin Zhang, Guoqiang Zhong, Junyu Dong
A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation Consistency. Cogn. Comput. 13 (6) (2021)
Zhenlin Fan, Guoqiang Zhong, Haitao Li
A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection. ICONIP (1) (2020)
Guoqiang Zhong, Wenxue Liu, Hui Yao, Tao Li, Jinxuan Sun, Xiang Liu
Merging Similar Neurons for Deep Networks Compression. Cogn. Comput. 12 (3) (2020)
Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang, Da-Han Wang, Kaizhu Huang
Generative adversarial networks with decoder-encoder output noises. Neural Networks 127 (2020)
Ying Ma, Guoqiang Zhong, Wen Liu, Jinxuan Sun, Kaizhu Huang
Neural CAPTCHA networks. Appl. Soft Comput. 97 (Part) (2020)
Qingyang Li, Zhenlin Fan, Guoqiang Zhong
BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection. ICONIP (4) (2020)
Jinxuan Sun, Yang Chen, Junyu Dong, Guoqiang Zhong
Progressively Unfreezing Perceptual GAN. CoRR (2020)
Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang
Generative adversarial networks with mixture of t-distributions noise for diverse image generation. Neural Networks 122 (2020)
Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu
DNA computing inspired deep networks design. Neurocomputing 382 (2020)
Tao Li, Wencong Jiao, Li-Na Wang, Guoqiang Zhong
Automatic DenseNet Sparsification. IEEE Access 8 (2020)
Ying Ma, Guoqiang Zhong, Yanan Wang, Wen Liu
MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data. IJCNN (2020)
Guoqiang Zhong, Wencong Jiao, Wei Gao, Kaizhu Huang
Automatic Design of Deep Networks with Neural Blocks. Cogn. Comput. 12 (1) (2020)
Zhenlin Fan, Guoqiang Zhong, Hongxu Wei, Haitao Li
EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data. IJCNN (2020)
Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang
Feature Redirection Network for Few-Shot Classification. ICONIP (4) (2020)
Li-Na Wang, Wenxue Liu, Xiang Liu, Guoqiang Zhong, Partha Pratim Roy, Junyu Dong, Kaizhu Huang
Compressing Deep Networks by Neuron Agglomerative Clustering. Sensors 20 (21) (2020)
Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang
MCRN: A New Content-Based Music Classification and Recommendation Network. ICONIP (4) (2020)
Guoqiang Zhong, Wei Gao, Wencong Jiao, Biao Shen, Dongdong Xia
Learnable Gabor Convolutional Networks. ICONIP (4) (2019)
Guoqiang Zhong, Kang Zhang, Hongxu Wei, Yuchen Zheng, Junyu Dong
Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning Models. IEEE Access 7 (2019)
Guoqiang Zhong, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang
Long Short-Term Attention. BICS (2019)
Guoqiang Zhong, Xiao Ling, Li-Na Wang
From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures. WIREs Data Mining Knowl. Discov. 9 (1) (2019)
Yang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong
Recovering Super-Resolution Generative Adversarial Network for Underwater Images. ICONIP (4) (2019)
Guoqiang Zhong, Guohua Yue
Attention Recurrent Neural Networks for Image-Based Sequence Text Recognition. ACPR (1) (2019)
Zhenlin Fan, Guoqiang Zhong
SymmetricNet: A mesoscale eddy detection method based on multivariate fusion data. CoRR (2019)
Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang
AutoML for DenseNet Compression. ICONIP (3) (2019)
Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang
Enhanced LSTM with Batch Normalization. ICONIP (1) (2019)
Qingyang Li, Guoqiang Zhong, Cui Xie
Weak Edge Identification Nets for Ocean Front Detection. CoRR (2019)
Xiang Liu, Li-Na Wang, Wenxue Liu, Guoqiang Zhong
Incremental Layers Resection: A Novel Method to Compress Neural Networks. IEEE Access 7 (2019)
Kang Zhang, Guoqiang Zhong, Junyu Dong, Shengke Wang, Yong Wang
Stock Market Prediction Based on Generative Adversarial Network. IIKI (2018)
Jianyuan Sun, Guoqiang Zhong, Kaizhu Huang, Junyu Dong
Banzhaf random forests: Cooperative game theory based random forests with consistency. Neural Networks 106 (2018)
Guoqiang Zhong, Hui Yao, Huiyu Zhou
Merging Neurons for Structure Compression of Deep Networks. ICPR (2018)
Guoqiang Zhong, Xin Lin, Kang Chen
Long Short-Term Attention. CoRR (2018)
Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang
Generative Adversarial Networks with Decoder-Encoder Output Noise. CoRR (2018)
Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu
SLMOML: Online Metric Learning With Global Convergence. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Guoqiang Zhong, Shoujun Yan, Kaizhu Huang, Yajuan Cai, Junyu Dong
Reducing and Stretching Deep Convolutional Activation Features for Accurate Image Classification. Cogn. Comput. 10 (1) (2018)
Jinxuan Sun, Guoqiang Zhong, Yang Chen, Yongbin Liu, Tao Li, Zhongwen Guo
Student's t-Generative Adversarial Networks. CoRR (2018)
Lina Wang, Benxiu Liu, Haizhen Wang, Guoqiang Zhong, Junyu Dong
Deep Gabor Scattering Network for Image Classification. PRCV (2) (2018)
Guoqiang Zhong, Haizhen Wang, Wencong Jiao
MusicCNNs: A New Benchmark on Content-Based Music Recommendation. ICONIP (1) (2018)
Guoqiang Zhong, Tao Li, Wenxue Liu, Yang Chen
Structure Learning of Deep Networks via DNA Computing Algorithm. CoRR (2018)
Qin Zhang, Guoqiang Zhong, Junyu Dong
An anchor-based spectral clustering method. Frontiers Inf. Technol. Electron. Eng. 19 (11) (2018)
Xiaopeng Liu, Guoqiang Zhong, Junyu Dong
Natural image illuminant estimation via deep non-negative matrix factorisation. IET Image Process. 12 (1) (2018)
Guoqiang Zhong, Wencong Jiao, Wei Gao
Structure Learning of Deep Neural Networks with Q-Learning. CoRR (2018)
Guoqiang Zhong, Yan Zheng, Xu-Yao Zhang, Hongxu Wei, Xiao Ling
Convolutional Discriminant Analysis. ICPR (2018)
Guoqiang Zhong, Guohua Yue, Xiao Ling
Recurrent Attention Unit. CoRR (2018)
Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun
Prediction of Sea Surface Temperature using Long Short-Term Memory. CoRR (2017)
Guoqiang Zhong, Hongxu Wei, Yuchen Zheng, Junyu Dong
Marginal Deep Architectures. ACPR (2017)
Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun
Prediction of Sea Surface Temperature Using Long Short-Term Memory. IEEE Geosci. Remote. Sens. Lett. 14 (10) (2017)
Jianyuan Sun, Guoqiang Zhong, Junyu Dong, Hina Saeeda, Qin Zhang
Cooperative Profit Random Forests With Application in Ocean Front Recognition. IEEE Access 5 (2017)
Yanhai Gan, Huifang Chi, Ying Gao, Jun Liu, Guoqiang Zhong, Junyu Dong
Perception driven texture generation. ICME (2017)
Partha Pratim Roy, Guoqiang Zhong, Mohamed Cheriet
Tandem hidden Markov models using deep belief networks for offline handwriting recognition. Frontiers Inf. Technol. Electron. Eng. 18 (7) (2017)
Qin Zhang, Jianyuan Sun, Guoqiang Zhong, Junyu Dong
Random Multi-Graphs: A semi-supervised learning framework for classification of high dimensional data. Image Vis. Comput. 60 (2017)
Yanhai Gan, Huifang Chi, Ying Gao, Jun Liu, Guoqiang Zhong, Junyu Dong
Perception Driven Texture Generation. CoRR (2017)
Feng Gao, Xiaopeng Liu, Junyu Dong, Guoqiang Zhong, Muwei Jian
Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks. Remote. Sens. 9 (5) (2017)
Xiaopeng Liu, Guoqiang Zhong, Cong Liu, Junyu Dong
Underwater image colour constancy based on DSNMF. IET Image Process. 11 (1) (2017)
Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu
Scalable large margin online metric learning. IJCNN (2016)
Heng Zhang, Guoqiang Zhong
Improving short text classification by learning vector representations of both words and hidden topics. Knowl. Based Syst. 102 (2016)
Guoqiang Zhong, Xiao Ling
The Necessary and Sufficient Conditions for the Existence of the Optimal Solution of Trace Ratio Problems. CCPR (1) (2016)
Guoqiang Zhong, Lina Wang, Junyu Dong
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning. CoRR (2016)
Jianwen Lou, Lin Qi, Junyu Dong, Hui Yu, Guoqiang Zhong
Learning perceptual texture similarity and relative attributes from computational features. IJCNN (2016)
Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet
Relational Fisher Analysis: A general framework for dimensionality reduction. IJCNN (2016)
Guoqiang Zhong, Hui Xu, Pan Yang, Sijiang Wang, Junyu Dong
Deep hashing learning networks. IJCNN (2016)
Yuchen Zheng, Yajuan Cai, Guoqiang Zhong, Youssouf Chherawala, Yaxin Shi, Junyu Dong
Stretching deep architectures for text recognition. ICDAR (2015)
Yanhai Gan, Jun Liu, Junyu Dong, Guoqiang Zhong
A PCA-Based Convolutional Network. CoRR (2015)
Yajuan Cai, Guoqiang Zhong, Yuchen Zheng, Kaizhu Huang, Junyu Dong
Is DeCAF Good Enough for Accurate Image Classification? ICONIP (2) (2015)
Guoqiang Zhong, Xin Mao, Yaxin Shi, Junyu Dong
3D Texture Recognition for RGB-D Images. CAIP (2) (2015)
Guoqiang Zhong, Mohamed Cheriet
Tensor representation learning based image patch analysis for text identification and recognition. Pattern Recognit. 48 (4) (2015)
Pan Yang, Haoran Zhao, Lin Qi, Guoqiang Zhong
Self-taught recovery of depth data. APSIPA (2015)
Guoqiang Zhong, Pan Yang, Sijiang Wang, Junyu Dong
A Deep Hashing Learning Network. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guoqiang Zhong