A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers. - Qin Lin; Huailing Zhang; Xizhao Wang; Yun Xue; Hongxin Liu; Changwei Gong (IEEE Access, 2019)

Feature-Selected Graph Spatial Attention Network for Addictive Brain-Networks Identification. - Changwei Gong; Changhong Jing; Junren Pan; Yishan Wang; Shuqiang Wang (BI, 2022)

Dynamic Community Detection via Adversarial Temporal Graph Representation Learning. - Changwei Gong; Changhong Jing; Yanyan Shen; Shuqiang Wang (NCAA (2), 2022)

Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification. - Changwei Gong; Changhong Jing; Junren Pan; Shuqiang Wang (CoRR, 2022)

Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits. - Changwei Gong; Changhong Jing; Ye Li; Xinan Liu; Zuxin Chen; Shuqiang Wang (CoRR, 2022)

Improved Dynamic Window Approach for Unmanned Surface Vehicles' Local Path Planning Considering the Impact of Environmental Factors. - Zhenyu Wang; Yan Liang; Changwei Gong; Yichang Zhou; Cen Zeng; Songli Zhu (Sensors, 2022)

Graph Diffusion Reconstruction Network for Addictive Brain-Networks Identification. - Changhong Jing; Changwei Gong; Zuxin Chen; Shuqiang Wang (BI, 2023)

TA-GAN: transformer-driven addiction-perception generative adversarial network. - Changhong Jing; Changwei Gong; Zuxin Chen; Baiying Lei; Shuqiang Wang (Neural Comput. Appl., 2023)

Addictive brain-network identification by spatial attention recurrent network with feature selection. - Changwei Gong; Xinyi Chen; Bushra Mughal; Shuqiang Wang (Brain Informatics, 2023)

UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement. - Yingtie Lei; Jia Yu; Yihang Dong; Changwei Gong; Ziyang Zhou 001; Chi-Man Pun (DSAA, 2024)

Generative artificial intelligence-enabled dynamic detection of rat nicotine-related circuits. - Changwei Gong; Changhong Jing; Xin-an Liu; Victoria X. Wang; Cheuk Ying Tang; Paul J. Kenny; Ye Li; Zuxin Chen; Shuqiang Wang (Neural Comput. Appl., 2024)