Changhong Jing

According to our database, Changhong Jing authored at least 15 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, December, 2024

Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks.

Changhong Jing, Yanyan Shen, Shen Zhao, Yi Pan, C. L. Philip Chen, Baiying Lei, Shuqiang Wang

IEEE Trans. Cybern., September, 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

BrainNetDiff: Generative AI Empowers Brain Network Construction Via Multimodal Diffusion.

Yongcheng Zong, Changhong Jing, Jonathan H. Chan, Shuqiang Wang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Structural Brain Network Generation via Brain Denoising Diffusion Probabilistic Model.

Hongjie Jiang, Xuhang Chen, Changhong Jing, Shuqiang Wang

Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023

TA-GAN: transformer-driven addiction-perception generative adversarial network.

Changhong Jing, Changwei Gong, Zuxin Chen, Baiying Lei, Shuqiang Wang

Neural Comput. Appl., May, 2023

DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI.

Qiankun Zuo, Ruiheng Li, Yi Di, Hao Tian, Changhong Jing, Xuhang Chen, Shuqiang Wang

CoRR, 2023

Graph Diffusion Reconstruction Network for Addictive Brain-Networks Identification.

Changhong Jing, Changwei Gong, Zuxin Chen, Shuqiang Wang

Proceedings of the Brain Informatics - 16th International Conference, 2023

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

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

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

Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification.

Changwei Gong, Changhong Jing, Junren Pan, Shuqiang Wang

CoRR, 2022

Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer's Disease Prediction.

Yongcheng Zong, Changhong Jing, Qiankun Zuo

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Dynamic Community Detection via Adversarial Temporal Graph Representation Learning.

Changwei Gong, Changhong Jing, Yanyan Shen, Shuqiang Wang

Proceedings of the Neural Computing for Advanced Applications, 2022

CTI-GAN: Cross-Text-Image Generative Adversarial Network for Bidirectional Cross-modal Generation.

Changhong Jing, Bing Xue, Junren Pan

Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

Feature-Selected Graph Spatial Attention Network for Addictive Brain-Networks Identification.

Changwei Gong, Changhong Jing, Junren Pan, Yishan Wang, Shuqiang Wang

Proceedings of the Brain Informatics - 15th International Conference, 2022