Automated Selection of a Channel Subset Based on the Genetic Algorithm in a Motor Imagery Brain-Computer Interface System. - Hongli Chang; Jimin Yang (IEEE Access, 2019)

PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. - Binbin Guo; Yuan Mei 005; Danyang Xiao; Weigang Wu; Ye Yin; Hongli Chang (CoRR, 2020)

Enhanced-XGB: An Online Service Resource Demand Forecasting Method for Colocation Data Centers. - Chuming Xiao; Jiaming Huang; Weigang Wu; Ye Yin; Hongli Chang (CCGRID, 2021)

Attention-based Spatio-Temporal Graphic LSTM for EEG Emotion Recognition. - Xiaoxu Li; Wenming Zheng; Yuan Zong; Hongli Chang; Cheng Lu 005 (IJCNN, 2021)

MADC: Multi-scale Attention-based Deep Clustering for Workload Prediction. - Jiaming Huang; Chuming Xiao; Weigang Wu; Ye Yin; Hongli Chang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Adaptive Hierarchical Graph Convolutional Network for EEG Emotion Recognition. - Yunlong Xue; Wenming Zheng; Yuan Zong; Hongli Chang; Xingxun Jiang (IJCNN, 2022)

Adapting Multiple Distributions for Bridging Emotions from Different Speech Corpora. - Yuan Zong; Hailun Lian; Hongli Chang; Cheng Lu 005; Chuangao Tang (Entropy, 2022)

E2ENNet: An end-to-end neural network for emotional brain-computer interface. - Zhichao Han 005; Hongli Chang; Xiaoyan Zhou; Jihao Wang; Lili Wang; Yongbin Shao (Frontiers Comput. Neurosci., 2022)

Joint Patch Weighting and Moment Matching for Unsupervised Domain Adaptation in Micro-Expression Recognition. - Jie Zhu; Yuan Zong; Hongli Chang; Li Zhao 003; Chuangao Tang (IEICE Trans. Inf. Syst., 2022)

A Sparse-Based Transformer Network With Associated Spatiotemporal Feature for Micro-Expression Recognition. - Jie Zhu; Yuan Zong; Hongli Chang; Yushun Xiao; Li Zhao 003 (IEEE Signal Process. Lett., 2022)

Progressive distribution adapted neural networks for cross-corpus speech emotion recognition. - Yuan Zong; Hailun Lian; Jiacheng Zhang; Ercui Feng; Cheng Lu 005; Hongli Chang; Chuangao Tang (Frontiers Neurorobotics, 2022)

Deep Learning for Iris Recognition: A Review. - Yimin Yin; Siliang He; Renye Zhang; Hongli Chang; Xu Han; Jinghua Zhang (CoRR, 2023)

Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition. - Jie Zhu; Yuan Zong; Jingang Shi; Cheng Lu 005; Hongli Chang; Wenming Zheng (CoRR, 2023)

EEG-Based Parkinson's Disease Recognition via Attention-Based Sparse Graph Convolutional Neural Network. - Hongli Chang; Bo Liu; Yuan Zong; Cheng Lu 005; Xuenan Wang (IEEE J. Biomed. Health Informatics, 2023)

Dynamic Analysis in Resting-State EEG Based on Natural Stimuli via Power Spectra and Microstate. - Jingqing Lu; Hongli Chang; Xiaoyan Tian; Lijun Jiang; Chulin Feng; Chenyu Mu; Diankun Gong (CISP-BMEI, 2024)

Confidence-aware Hypothesis Transfer Networks for Source-Free Cross-Corpus Speech Emotion Recognition. - Jincen Wang; Yan Zhao 037; Cheng Lu 005; Hailun Lian; Hongli Chang; Yuan Zong; Wenming Zheng (INTERSPEECH, 2024)

MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology. - Xin Chen 086; Youyong Kong; Hongli Chang; Yuan Gao 033; Zidong Liu; Jean-Louis Coatrieux; Huazhong Shu (Biomed. Signal Process. Control., 2024)

Exploring holistic discriminative representation for micro-expression recognition via contrastive learning. - Jie Zhu; Wanyuan He; Feifan Wang; Hongli Chang; Cheng Lu 005; Yuan Zong (Image Vis. Comput., 2024)

A coupling of common-private topological patterns learning approach for cross-subject emotion recognition. - Haokai Zhang; Pengrui Li; Hongli Chang; Shihong Liu; Yun Qin; Jiaxin Xie; Manqing Wang; Dongrui Gao; Dingming Wu 004 (Biomed. Signal Process. Control., 2025)

A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition. - Dongrui Gao; Mengwen Liu; Haokai Zhang; Manqing Wang; Hongli Chang; Gaoxiang Ouyang; Shihong Liu; Pengrui Li (Neural Networks, 2025)

AMGCN: An adaptive multi-graph convolutional network for speech emotion recognition. - Hailun Lian; Cheng Lu 005; Hongli Chang; Yan Zhao 037; Sunan Li; Yang Li 019; Yuan Zong (Speech Commun., 2025)

Deep learning for iris recognition: a review. - Yimin Yin; Siliang He; Renye Zhang; Hongli Chang; Jinghua Zhang (Neural Comput. Appl., 2025)

DMPNet: dual-modal parallel network with spatiotemporal fusion for cognitive task classification. - Manqing Wang; Jiacheng Gu; Lin Yang; Hongli Chang; Dongrui Gao (Signal Image Video Process., 2025)