研究概述：主要从事情感计算、脑机接口、数字健康、脑疾病辅助诊断方面的研究，发表学术论文20余篇，以第一作者身份发表SCI学术论文8篇，其中生物医学工程和脑机接口领域旗舰期刊3篇，中科院一区TOP（IEEE JBHI）论文1篇，Journal of Neural Engineering 2篇；参与课题组国家级重点项目4项目，横向课题1项，担任IEEE TAC、IEEE TCSVT、PR等SCI期刊和CCF会议的审稿人，参与指导2名硕士研究生科研和论文写作；科研成果转化“脑电控制机器人行走系统”获华为杯研究生电子设计大赛一等奖、山东省科技创新大赛三等奖。
发表论文：
1.Hongli Chang, Bo Liu, Yuan Zong, Cheng Lu, Xuenan Wang. EEG-Based Parkinson’s Disease Recognition Via Attention-based Sparse Graph Convolutional Neural Network[J]. IEEE Journal of Biomedical And Health Informatics, 2023.
2.Hongli Chang, Xuenan Wang, Wenming Zheng, Xianzhi Wang, Bo Liu, Yuan Zong, Jie Zhu, Deep Spectral Feature Decoupled Network: An EEG-based Depression Diagnosis Framework from Animal Research to Clinical Application[J]. IEEE Transactions on Affective Computing.
3.Hongli Chang, Yuan Zong, Wenming Zheng, et al. EEG-based major depressive disorder recognition by selecting discriminative features via stochastic search[J]. Journal of neural engineering, 2023, 20(2): 026021.
4.Hongli Chang, Jimin Yang. Genetic-based feature selection for efficient motion imaging of a brain-computer interface framework[J]. Journal of neural engineering, 2018, 15(5): 056020.
5.Hongli Chang, Jimin Yang. Automated Selection of a Channel Subset Based on the Genetic Algorithm in a Motor Imagery Brain-Computer Interface System[J]. IEEE Access, 2019, 7(99):154180-154191.
6.Hongli Chang, Yuan Zong, Wenming Zheng, Chuangao Tang, Jie Zhu, Xuejun Li. Depression assessment method: An EEG emotion recognition framework based on spatio-temporal neural network[J]. Frontiers in Psychiatry, 2021, 12.
7.Jipu Su, Jie Zhu, Tiecheng Song, Hongli Chang. Subject-Independent EEG Emotion Recognition Based on Genetically Optimized Projection Dictionary Pair Learning[J]. Brain Sciences, 2022, 99.
8.Bo Liu, Hongli Chang, Kang Peng, Xuenan Wang. An End-to-End Depression Recognition Method Based on EEGNet[J]. Frontiers in Psychiatry, 2022, 13
9.Zhichao Han, Hongli Chang, Xiaoyan Zhou, et al. E2ENNet: An End-to-end Neural Network For Emotional Brain-Computer Interface[J]. Frontiers in Computational Neuroscience, 2022, 99.
10.Xin Chen, Youyong Kong, Hongli Chang, Yuan Gao, Zidong Liu, Jean-Louis Coatrieux, Huazhong Shu, MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology[J]. Biomedical Signal Processing and Control, 2024.
