Hongjie Yan

According to our database, Hongjie Yan authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

EEG Emotion Copilot: Pruning LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation.

Hongyu Chen, Weiming Zeng, Chengcheng Chen, Luhui Cai, Fei Wang, Lei Wang, Wei Zhang, Yueyang Li, Hongjie Yan, Wai Ting Siok, Nizhuan Wang

CoRR, 2024

STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data.

Wei Zhang, Weiming Zeng, Hongyu Chen, Jie Liu, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang

CoRR, 2024

Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas.

Yu Feng, Weiming Zeng, Yifan Xie, Hongyu Chen, Lei Wang, Yingying Wang, Hongjie Yan, Kaile Zhang, Ran Tao, Wai Ting Siok, Nizhuan Wang

CoRR, 2024

A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions.

Yueyang Li, Weiming Zeng, Wenhao Dong, Di Han, Lei Chen, Hongyu Chen, Hongjie Yan, Wai Ting Siok, Nizhuan Wang

CoRR, 2024

MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI.

Yueyang Li, Weiming Zeng, Wenhao Dong, Luhui Cai, Lei Wang, Hongyu Chen, Hongjie Yan, Lingbin Bian, Nizhuan Wang

CoRR, 2024

You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation.

Hongyu Chen, Weiming Zeng, Luhui Cai, Yueyang Li, Lei Wang, Jia Lu, Hongjie Yan, Wai Ting Siok, Nizhuan Wang

CoRR, 2024

MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction.

Luhui Cai, Weiming Zeng, Hongyu Chen, Hua Zhang, Yueyang Li, Hongjie Yan, Lingbin Bian, Nizhuan Wang

CoRR, 2024

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation.

Haitong Tang, Shuang He, Mengduo Yang, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang

IEEE Access, 2024

2021

MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification.

Shuang He, Haitong Tang, Xia Lu, Hongjie Yan, Nizhuan Wang

CoRR, 2021

CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation.

Haitong Tang, Shuang He, Xia Lu, Qin Yu, Kaiyue Liu, Hongjie Yan, Nizhuan Wang

CoRR, 2021

2020

Comparison of Machine Learning and Deep Learning Approaches for Decoding Brain Computer Interface: An fNIRS Study.

Jiahao Lu, Hongjie Yan, Chunqi Chang, Nizhuan Wang

Proceedings of the Intelligent Information Processing X, 2020

2019

A fast compact finite difference method for quasilinear time fractional parabolic equation without singular kernel.

Huan Liu, Aijie Cheng, Hongjie Yan, Zhengguang Liu, Hong Wang

Int. J. Comput. Math., 2019

2018

A Novel Spatial-Spectra Dynamics-Based Ranking Model for Sorting Time-Varying Functional Networks from Single Subject FMRI Data.

Nizhuan Wang, Hongjie Yan, Yang Yang, Ruiyang Ge

Proceedings of the Intelligence Science II, 2018

2017

A novel automatic identification model for tracking dynamic brain functional networks at single-subject level.

Nizhuan Wang, Li Liu, Weixiang Liu, Hongjie Yan

Proceedings of the IEEE International Conference on Information and Automation, 2017

2012

Analysis on Energy Consumption for Alumina Production Basing on Exergy Intensity-Energy Intensity-Product Ratio Analysis Model.

Qiaoping Chen, Qianqian Wang, Hongjie Yan, Shiheng Ge

Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012