| 2025 | AI | Meta-Unsupervised Representation Learning: A New Approach to Factorization and Interpretability. | Ameer Ahmed Khan, Rachid Hedjam, Mebarka Allaoui, Guoqiang Zhong |
| 2024 | AAAI | Self-Prompt Mechanism for Few-Shot Image Recognition. | Mingchen Song, Huiqiang Wang, Guoqiang Zhong |
| 2024 | AAAI | TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis. | Shuo Yin, Guoqiang Zhong |
| 2024 | EMNLP | MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning. | Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai |
| 2024 | NAACL | MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models. | Weihao You, Shuo Yin, Xudong Zhao, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai |
| 2023 | IJCAI | LGI-GT: Graph Transformers with Local and Global Operators Interleaving. | Shuo Yin, Guoqiang Zhong |
| 2022 | ICPR | Deep Discriminative Hashing Networks on Point-wise Labels for Image Retrieval. | Zhenchao Chen, Guoqiang Zhong, Jianzhang Qu, Haizhen Wang |
| 2020 | ICONIP | A Feature Fusion Network for Multi-modal Mesoscale Eddy Detection. | Zhenlin Fan, Guoqiang Zhong, Haitao Li |
| 2020 | ICONIP | BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection. | Qingyang Li, Zhenlin Fan, Guoqiang Zhong |
| 2020 | ICONIP | MCRN: A New Content-Based Music Classification and Recommendation Network. | Yuxu Mao, Guoqiang Zhong, Haizhen Wang, Kaizhu Huang |
| 2020 | ICONIP | Feature Redirection Network for Few-Shot Classification. | Yanan Wang, Guoqiang Zhong, Yuxu Mao, Kaizhu Huang |
| 2020 | IJCNN | EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data. | Zhenlin Fan, Guoqiang Zhong, Hongxu Wei, Haitao Li |
| 2020 | IJCNN | MetaCGAN: A Novel GAN Model for Generating High Quality and Diversity Images with Few Training Data. | Ying Ma, Guoqiang Zhong, Yanan Wang, Wen Liu |
| 2019 | ICONIP | Learnable Gabor Convolutional Networks. | Guoqiang Zhong, Wei Gao, Wencong Jiao, Biao Shen, Dongdong Xia |
| 2019 | ICONIP | Recovering Super-Resolution Generative Adversarial Network for Underwater Images. | Yang Chen, Jinxuan Sun, Wencong Jiao, Guoqiang Zhong |
| 2019 | ICONIP | AutoML for DenseNet Compression. | Wencong Jiao, Tao Li, Guoqiang Zhong, Li-Na Wang |
| 2019 | ICONIP | Enhanced LSTM with Batch Normalization. | Li-Na Wang, Guoqiang Zhong, Shoujun Yan, Junyu Dong, Kaizhu Huang |
| 2018 | ICONIP | MusicCNNs: A New Benchmark on Content-Based Music Recommendation. | Guoqiang Zhong, Haizhen Wang, Wencong Jiao |
| 2018 | ICPR | Convolutional Discriminant Analysis. | Guoqiang Zhong, Yan Zheng, Xu-Yao Zhang, Hongxu Wei, Xiao Ling |
| 2018 | ICPR | Merging Neurons for Structure Compression of Deep Networks. | Guoqiang Zhong, Hui Yao, Huiyu Zhou |
| 2016 | IJCNN | Learning perceptual texture similarity and relative attributes from computational features. | Jianwen Lou, Lin Qi, Junyu Dong, Hui Yu, Guoqiang Zhong |
| 2016 | IJCNN | Relational Fisher Analysis: A general framework for dimensionality reduction. | Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet |
| 2016 | IJCNN | Deep hashing learning networks. | Guoqiang Zhong, Hui Xu, Pan Yang, Sijiang Wang, Junyu Dong |
| 2016 | IJCNN | Scalable large margin online metric learning. | Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu |
| 2015 | CAIP | 3D Texture Recognition for RGB-D Images. | Guoqiang Zhong, Xin Mao, Yaxin Shi, Junyu Dong |
| 2015 | ICDAR | Stretching deep architectures for text recognition. | Yuchen Zheng, Yajuan Cai, Guoqiang Zhong, Youssouf Chherawala, Yaxin Shi, Junyu Dong |
| 2015 | ICONIP | Is DeCAF Good Enough for Accurate Image Classification? | Yajuan Cai, Guoqiang Zhong, Yuchen Zheng, Kaizhu Huang, Junyu Dong |
| 2014 | AAAI | Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery. | Chengcheng Jia, Guoqiang Zhong, Yun Raymond Fu |
| 2013 | ICDAR | An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition. | Guoqiang Zhong, Youssouf Chherawala, Mohamed Cheriet |
| 2013 | IJCAI | Adaptive Error-Correcting Output Codes. | Guoqiang Zhong, Mohamed Cheriet |
| 2011 | ICDM | Low Rank Metric Learning with Manifold Regularization. | Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu |
| 2010 | AAAI | Gaussian Process Latent Random Field. | Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu |
| 2010 | ICONIP | Learning ECOC and Dichotomizers Jointly from Data. | Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu |
| 2004 | KES | Testing of Multi-agent-based System in Ubiquitous Computing Environment. | Kenichi Takahashi, Satoshi Amamiya, Tadashige Iwao, Guoqiang Zhong, Makoto Amamiya |
| 2000 | ICPADS | Open distributed autonomous multi-agent coordination on the Web. | Tarek Helmy, Tsunenori Mine, Guoqiang Zhong, Makoto Amamiya |
| 2000 | ICPADS | KODAMA: as a distributed multi-agent system. | Guoqiang Zhong, Kenichi Takahashi, Tarek Helmy, Kouichirou Takaki, Tsunenori Mine, Shigeru Kusakabe, Makoto Amamiya |