Hongli Chang

Orcid: 0000-0002-5371-8855

According to our database1, Hongli Chang authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Exploring holistic discriminative representation for micro-expression recognition via contrastive learning.
Image Vis. Comput., 2024

MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology.
Biomed. Signal Process. Control., 2024

2023
EEG-Based Parkinson's Disease Recognition via Attention-Based Sparse Graph Convolutional Neural Network.
IEEE J. Biomed. Health Informatics, November, 2023

Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition.
CoRR, 2023

Deep Learning for Iris Recognition: A Review.
CoRR, 2023

2022
Progressive distribution adapted neural networks for cross-corpus speech emotion recognition.
Frontiers Neurorobotics, September, 2022

A Sparse-Based Transformer Network With Associated Spatiotemporal Feature for Micro-Expression Recognition.
IEEE Signal Process. Lett., 2022

Joint Patch Weighting and Moment Matching for Unsupervised Domain Adaptation in Micro-Expression Recognition.
IEICE Trans. Inf. Syst., 2022

E2ENNet: An end-to-end neural network for emotional brain-computer interface.
Frontiers Comput. Neurosci., 2022

Adapting Multiple Distributions for Bridging Emotions from Different Speech Corpora.
Entropy, 2022

Adaptive Hierarchical Graph Convolutional Network for EEG Emotion Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
MADC: Multi-scale Attention-based Deep Clustering for Workload Prediction.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Attention-based Spatio-Temporal Graphic LSTM for EEG Emotion Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Enhanced-XGB: An Online Service Resource Demand Forecasting Method for Colocation Data Centers.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts.
CoRR, 2020

2019
Automated Selection of a Channel Subset Based on the Genetic Algorithm in a Motor Imagery Brain-Computer Interface System.
IEEE Access, 2019


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