Changhong Jing

According to our database, Changhong Jing authored at least 24 papers between 2022 and 2026.

Collaborative distances:

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

2026

Generative AI Enables Structural Brain Network Construction From fMRI via Symmetric Diffusion Learning.

Qiankun Zuo, Bangjun Lei, Wanyu Qiu, Changhong Jing, Jin Hong, Shuqiang Wang

IEEE Trans. Consumer Electron., May, 2026

Generative AI Empower Addiction-Related Brain Circuits Detection via Graph Diffusion-Infused Adversarial Learning.

Changhong Jing, Baiying Lei, Shanshan Wang, Yan Liu, Feng Liu, C. L. Philip Chen, Shuqiang Wang

IEEE Trans. Cybern., April, 2026

Bridging scalp and intracranial EEG in BCI via pretrained neural representations and geometric constraint embedding.

Yihang Dong, Changhong Jing, Shuqiang Wang

CoRR, April, 2026

Tensor Object Recognition Using Optimized Projection-Based Support Tensor Machine.

Chi Zhang, Changhong Jing, Yihang Dong, Yanyan Shen, Min Gan, Guoheng Huang, Michael Kwok-Po Ng, Kim-Fung Tsang, Shuqiang Wang

IEEE Trans. Consumer Electron., February, 2026

Mutual-Guided Expert Collaboration for Cross-Subject EEG Classification.

Zhi Zhang, Yan Liu, Zhejing Hu, Gong Chen, Jiannong Cao, Shenghua Zhong, Sean Fontaine, Changhong Jing, Shuqiang Wang

CoRR, February, 2026

2025

PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding.

Changhong Jing, Yan Liu, Shuqiang Wang, Bruce X. B. Yu, Gong Chen, Zhejing Hu, Zhi Zhang, Yanyan Shen

CoRR, August, 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, June, 2025

BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease.

Tong Zhou, Chen Ding, Changhong Jing, Feng Liu, Kevin Hung, Hieu Pham, Mufti Mahmud, Zhihan Lyu, Sibo Qiao, Shuqiang Wang, Kim-Fung Tsang

IEEE Trans. Consumer Electron., May, 2025

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

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, 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