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2025

Convolutional Cross-Modal Autoencoder-Based Few-Shot Learning for Data Augmentation with Application to Alzheimer Dementia DiagnosisOthmane Bazine, Omar Rai, Oussama Aiadi, Rachid Hedjam, Belal Khaldi, Guoqiang Zhong 0001. cogcom, 17(1):34, February 2025. [doi]

Quantum Gated Recurrent Neural NetworksYanan Li, Zhimin Wang, Ruipeng Xing, Changheng Shao, Shangshang Shi, Jiaxin Li, Guoqiang Zhong 0001, Yongjian Gu. pami, 47(4):2493-2504, April 2025. [doi]

GLADA: Global and Local Associative Domain Adaptation for EEG-Based Emotion RecognitionTianxu Pan, Nuo Su, Jun-shan, Yang Tang, Guoqiang Zhong 0001, Tianzi Jiang, Nianming Zuo. tamd, 17(1):167-178, February 2025. [doi]

Generative neural architecture searchXiaotong Zhai, Shu Li, Guoqiang Zhong 0001, Tao Li 0031, Fuchang Zhang, Rachid Hedjam. ijon, 642:130360, 2025. [doi]

2024

MF-Net: Multi-frequency intrusion detection network for Internet traffic dataZhaoxu Ding, Guoqiang Zhong 0001, Xianping Qin, Qingyang Li, Zhenlin Fan, Zhaoyang Deng, Xiao Ling, Wei Xiang 0001. PR, 146:109999, February 2024. [doi]

SW-CAM: Class Activation Map with Feature Map Selection and Weight ModificationShaowei Qu, Rachid Hedjam, Zhimin Wang, Yongjian Gu, Lifan Yao, Haitao Li, Guoqiang Zhong 0001. cvippr 2024: 53 [doi]

Quantum convolutional neural networks for multiclass image classificationShangshang Shi, Zhimin Wang, Jiaxin Li, Yanan Li, Ruimin Shang, Guoqiang Zhong 0001, Yongjian Gu. qip, 23(5):189, May 2024. [doi]

Matching Multi-Scale Feature Sets in Vision Transformer for Few-Shot ClassificationMingchen Song, Fengqin Yao, Guoqiang Zhong 0001, Zhong Ji, Xiaowei Zhang 0003. tcsv, 34(12):12638-12651, December 2024. [doi]

DewaterGAN: A Physics-Guided Unsupervised Image Water Removal for UAV in Coastal ZoneFengqin Yao, Fuzhi Tang, Xiandong Wang, Yuzhen Wang, Shengke Wang, Guoqiang Zhong 0001, Jingfeng Zhang. tgrs, 62:1-15, 2024. [doi]

Attention-Guided Multi-Scale Fusion Network for Similar Objects Semantic SegmentationFengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong 0001, Shu Li, Zhiwei Xu. cogcom, 16(1):366-376, January 2024. [doi]

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningShuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong 0001, Jinfeng Bai. emnlp 2024: 4770-4785 [doi]

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment AnalysisShuo Yin, Guoqiang Zhong 0001. AAAI 2024: 19404-19412 [doi]

MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language ModelsWeihao You, Shuo Yin, Xudong Zhao, Zhilong Ji, Guoqiang Zhong 0001, Jinfeng Bai. naacl 2024: 2932-2958 [doi]

2023

Quantum recurrent neural networks for sequential learningYanan Li, Zhimin Wang, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong 0001, Yongjian Gu. NN, 166:148-161, September 2023. [doi]

DLW-NAS: Differentiable Light-Weight Neural Architecture SearchShu Li, Yuxu Mao, Fuchang Zhang, Dong Wang, Guoqiang Zhong 0001. cogcom, 15(2):429-439, March 2023. [doi]

Recurrent attention unit: A new gated recurrent unit for long-term memory of important parts in sequential dataZhaoyang Niu, Guoqiang Zhong 0001, Guohua Yue, Li-na Wang, Hui Yu 0001, Xiao Ling, Junyu Dong. ijon, 517:1-9, 2023. [doi]

Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global ConvergenceLi-na Wang, Guoqiang Zhong 0001, Yaxin Shi, Mohamed Cheriet. algorithms, 16(11):522, 2023. [doi]

Deep Error-Correcting Output CodesLi-na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong, Guoqiang Zhong 0001. algorithms, 16(12):555, 2023. [doi]

Self-supervised generative learning for sequential data predictionKe Xu, Guoqiang Zhong 0001, Zhaoyang Deng, Kang Zhang 0007, Kaizhu Huang. apin, 53(18):20675-20689, September 2023. [doi]

Lightweight network learning with Zero-Shot Neural Architecture Search for UAV imagesFengqin Yao, Shengke Wang, Laihui Ding, Guoqiang Zhong 0001, Leon Bevan Bullock, Zhiwei Xu, Junyu Dong. kbs, 260:110142, 2023. [doi]

LGI-GT: Graph Transformers with Local and Global Operators InterleavingShuo Yin, Guoqiang Zhong 0001. IJCAI 2023: 4504-4512 [doi]

Ocean Front Detection With Bi-Directional Progressive Fusion Attention NetworkJing Zhu, Qingyang Li, Cui Xie, Guoqiang Zhong 0001. lgrs, 20:1-5, 2023. [doi]

2022

Deep Discriminative Hashing Networks on Point-wise Labels for Image RetrievalZhenchao Chen, Guoqiang Zhong 0001, Jianzhang Qu, Haizhen Wang. icpr 2022: 3125-3130 [doi]

Text Classification with Attention Gated Graph Neural NetworkZhaoyang Deng, Chenxiang Sun, Guoqiang Zhong 0001, Yuxu Mao. cogcom, 14(4):1464-1473, 2022. [doi]

Weak Edge Identification Network for Ocean Front DetectionQingyang Li, Guoqiang Zhong 0001, Cui Xie, Rachid Hedjam. lgrs, 19:1-5, 2022. [doi]

Music-CRN: an Efficient Content-Based Music Classification and Recommendation NetworkYuxu Mao, Guoqiang Zhong 0001, Haizhen Wang, Kaizhu Huang. cogcom, 14(6):2306-2316, 2022. [doi]

Face image-sketch synthesis via generative adversarial fusionJianyuan Sun, Hongchuan Yu, Jian J. Zhang 0001, Junyu Dong, Hui Yu 0001, Guoqiang Zhong 0001. NN, 154:179-189, 2022. [doi]

Random Shapley Forests: Cooperative Game-Based Random Forests With ConsistencyJianyuan Sun, Hui Yu 0001, Guoqiang Zhong 0001, Junyu Dong, Shu Zhang, Hongchuan Yu. tcyb, 52(1):205-214, 2022. [doi]

Category Relevance Redirection Network for Few-Shot ClassificationXiangtao Tian, Zhengli Zhao, Peng Jiang, Jianxin Wu, Guoqiang Zhong 0001. access, 10:86733-86743, 2022. [doi]

FFNet: Feature Fusion Network for Few-shot Semantic SegmentationYa-Nan Wang, Xiangtao Tian, Guoqiang Zhong 0001. cogcom, 14(2):875-886, 2022. [doi]

Adaptive Gabor convolutional networksYe Yuan, Li-na Wang, Guoqiang Zhong 0001, Wei Gao, Wencong Jiao, Junyu Dong, Biao Shen, Dongdong Xia, Wei Xiang. PR, 124:108495, 2022. [doi]

2021

A Graph-based Semi-supervised Multi-label Learning Method Based on Label Correlation ConsistencyQin Zhang 0008, Guoqiang Zhong 0001, Junyu Dong. cogcom, 13(6):1564-1573, 2021. [doi]

Deep Architecture Compression with Automatic Clustering of Similar NeuronsXiang Liu 0012, Wenxue Liu, Li-na Wang, Guoqiang Zhong 0001. prcv 2021: 361-373 [doi]

Attention-Augmented Machine MemoryXin Lin, Guoqiang Zhong 0001, Kang Chen, Qingyang Li, Kaizhu Huang. cogcom, 13(3):751-760, 2021. [doi]

ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training DataYing Ma, Guoqiang Zhong 0001, Wen Liu, Yanan Wang, Peng Jiang, Rui Zhang. cogcom, 13(2):418-430, 2021. [doi]

Differentiable Light-Weight Architecture SearchYuxu Mao, Guoqiang Zhong 0001, Yanan Wang, Zhaoyang Deng. icmcs 2021: 1-6 [doi]

A review on the attention mechanism of deep learningZhaoyang Niu, Guoqiang Zhong 0001, Hui Yu 0001. ijon, 452:48-62, 2021. [doi]

2020

Merging Similar Neurons for Deep Networks CompressionGuoqiang Zhong 0001, Wenxue Liu, Hui Yao, Tao Li 0031, Jinxuan Sun, Xiang Liu 0012. cogcom, 12(3):577-588, 2020. [doi]

Automatic Design of Deep Networks with Neural BlocksGuoqiang Zhong 0001, Wencong Jiao, Wei Gao, Kaizhu Huang. cogcom, 12(1):1-12, 2020. [doi]

Generative adversarial networks with decoder-encoder output noisesGuoqiang Zhong 0001, Wei Gao, Yongbin Liu, Youzhao Yang, Da-Han Wang, Kaizhu Huang. NN, 127:19-28, 2020. [doi]

DNA computing inspired deep networks designGuoqiang Zhong 0001, Tao Li, Wencong Jiao, Li-na Wang, Junyu Dong, Cheng-Lin Liu. ijon, 382:140-147, 2020. [doi]

A Feature Fusion Network for Multi-modal Mesoscale Eddy DetectionZhenlin Fan, Guoqiang Zhong 0001, Haitao Li. iconip 2020: 51-61 [doi]

EDNet: A Mesoscale Eddy Detection Network with Multi-Modal DataZhenlin Fan, Guoqiang Zhong 0001, Hongxu Wei, Haitao Li. ijcnn 2020: 1-7 [doi]

BEDNet: Bi-directional Edge Detection Network for Ocean Front DetectionQingyang Li, Zhenlin Fan, Guoqiang Zhong 0001. iconip 2020: 312-319 [doi]

Automatic DenseNet SparsificationTao Li, Wencong Jiao, Li-na Wang, Guoqiang Zhong 0001. access, 8:62561-62571, 2020. [doi]

Neural CAPTCHA networksYing Ma, Guoqiang Zhong 0001, Wen Liu, Jinxuan Sun, Kaizhu Huang. asc, 97(Part):106769, 2020. [doi]

MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training DataYing Ma, Guoqiang Zhong 0001, Yanan Wang, Wen Liu. ijcnn 2020: 1-7 [doi]

MCRN: A New Content-Based Music Classification and Recommendation NetworkYuxu Mao, Guoqiang Zhong 0001, Haizhen Wang, Kaizhu Huang. iconip 2020: 771-779 [doi]

Generative adversarial networks with mixture of t-distributions noise for diverse image generationJinxuan Sun, Guoqiang Zhong 0001, Yang Chen, Yongbin Liu, Tao Li, Kaizhu Huang. NN, 122:374-381, 2020. [doi]

Compressing Deep Networks by Neuron Agglomerative ClusteringLi-na Wang, Wenxue Liu, Xiang Liu 0012, Guoqiang Zhong 0001, Partha Pratim Roy 0001, Junyu Dong, Kaizhu Huang. sensors, 20(21):6033, 2020. [doi]

Feature Redirection Network for Few-Shot ClassificationYanan Wang, Guoqiang Zhong 0001, Yuxu Mao, Kaizhu Huang. iconip 2020: 418-425 [doi]

2019

Attention Recurrent Neural Networks for Image-Based Sequence Text RecognitionGuoqiang Zhong 0001, Guohua Yue. acpr 2020: 793-806 [doi]

From shallow feature learning to deep learning: Benefits from the width and depth of deep architecturesGuoqiang Zhong 0001, Xiao Ling, Li-na Wang. widm, 9(1), 2019. [doi]

Marginal Deep Architecture: Stacking Feature Learning Modules to Build Deep Learning ModelsGuoqiang Zhong 0001, Kang Zhang, Hongxu Wei, Yuchen Zheng, Junyu Dong. access, 7:30220-30233, 2019. [doi]

Long Short-Term AttentionGuoqiang Zhong 0001, Xin Lin, Kang Chen, Qingyang Li, Kaizhu Huang. bics 2020: 45-54 [doi]

Learnable Gabor Convolutional NetworksGuoqiang Zhong 0001, Wei Gao, Wencong Jiao, Biao Shen, Dongdong Xia. iconip 2019: 305-313 [doi]

Recovering Super-Resolution Generative Adversarial Network for Underwater ImagesYang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong 0001. iconip 2019: 75-83 [doi]

AutoML for DenseNet CompressionWencong Jiao, Tao Li, Guoqiang Zhong 0001, Li-na Wang. iconip 2019: 151-161 [doi]

Incremental Layers Resection: A Novel Method to Compress Neural NetworksXiang Liu, Li-na Wang, Wenxue Liu, Guoqiang Zhong 0001. access, 7:172167-172177, 2019. [doi]

Enhanced LSTM with Batch NormalizationLi-na Wang, Guoqiang Zhong 0001, Shoujun Yan, Junyu Dong, Kaizhu Huang. iconip 2019: 746-755 [doi]

2018

MusicCNNs: A New Benchmark on Content-Based Music RecommendationGuoqiang Zhong 0001, Haizhen Wang, Wencong Jiao. iconip 2018: 394-405 [doi]

Merging Neurons for Structure Compression of Deep NetworksGuoqiang Zhong 0001, Hui Yao, Huiyu Zhou. icpr 2018: 1462-1467 [doi]

Convolutional Discriminant AnalysisGuoqiang Zhong 0001, Yan Zheng, Xu-Yao Zhang, Hongxu Wei, Xiao Ling. icpr 2018: 1456-1461 [doi]

SLMOML: Online Metric Learning With Global ConvergenceGuoqiang Zhong 0001, Yan Zheng, Sheng Li 0001, Yun Fu 0001. tcsv, 28(10):2460-2472, 2018. [doi]

Banzhaf random forests: Cooperative game theory based random forests with consistencyJianyuan Sun, Guoqiang Zhong 0001, Kaizhu Huang, Junyu Dong. NN, 106:20-29, 2018. [doi]

Deep Gabor Scattering Network for Image ClassificationLina Wang, Benxiu Liu, Haizhen Wang, Guoqiang Zhong 0001, Junyu Dong. prcv 2018: 332-343 [doi]

Stock Market Prediction Based on Generative Adversarial NetworkKang Zhang, Guoqiang Zhong 0001, Junyu Dong, Shengke Wang, Yong Wang. iiki 2019: 400-406 [doi]

2017

Marginal Deep ArchitecturesGuoqiang Zhong 0001, Hongxu Wei, Yuchen Zheng, Junyu Dong. acpr 2017: 559-564 [doi]

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