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

CTI-GAN: Cross-Text-Image Generative Adversarial Network for Bidirectional Cross-modal Generation. - Changhong Jing; Bing Xue; Junren Pan (CSSE, 2022)

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

Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction. - Yongcheng Zong; Changhong Jing; Qiankun Zuo (PRCV (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)

Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease. - Junren Pan; Changhong Jing; Qiankun Zuo; Martin Nieuwoudt; Shuqiang Wang (BICS, 2023)

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

DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI. - Qiankun Zuo; Ruiheng Li; Yi Di; Hao Tian 009; Changhong Jing; Xuhang Chen 002; Shuqiang Wang (CoRR, 2023)

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

Structural Brain Network Generation via Brain Denoising Diffusion Probabilistic Model. - Hongjie Jiang; Xuhang Chen 002; Changhong Jing; Shuqiang Wang (AIiH (1), 2024)

BrainNetDiff: Generative AI Empowers Brain Network Construction Via Multimodal Diffusion. - Yongcheng Zong; Changhong Jing; Jonathan H. Chan; Shuqiang Wang (ISBI, 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)

Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks. - Changhong Jing; Yanyan Shen; Shen Zhao; Yi Pan 001; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Cybern., 2024)

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model. - Yihang Dong; Changhong Jing; Mufti Mahmud; Michael Kwok-Po Ng; Shuqiang Wang (Brain Informatics, 2024)

Addiction-related brain networks identification via Graph Diffusion Reconstruction Network. - Changhong Jing; Hongzhi Kuai; Hiroki Matsumoto; Tomoharu Yamaguchi; Iman Yi Liao; Shuqiang Wang (Brain Informatics, 2024)

BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease. - Tong Zhou; Chen Ding; Changhong Jing; Feng Liu 011; Kevin Hung; Hieu Pham; Mufti Mahmud; Zhihan Lyu; Sibo Qiao; Shuqiang Wang; Kim-Fung Tsang (IEEE Trans. Consumer Electron., 2025)

Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis. - Yifei Tang; Hongjie Jiang; Changhong Jing; Hieu Pham; Shuqiang Wang (CoRR, 2025)