Hengde Zhu

Orcid: 0000-0001-7027-3969

According to our database1, Hengde Zhu authored at least 18 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ECHO: Towards Emotionally Appropriate and Contextually Aware Interactive Head Generation.
CoRR, March, 2026

TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Semi-CLMT: A Semi-Supervised Framework for Medical Image Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2025

Deep bioinspired evolutionary stacking algorithm for unpaired multimodal cell classification calibration.
Eng. Appl. Artif. Intell., 2025

REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
PerFRDiff: Personalised Weight Editing for Multiple Appropriate Facial Reaction Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
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Inf. Fusion, December, 2023

MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets.
Knowl. Based Syst., November, 2023

Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data.
Neural Networks, October, 2023

CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

An Evolutionary Attention-Based Network for Medical Image Classification.
Int. J. Neural Syst., March, 2023

Deep learning in food category recognition.
Inf. Fusion, 2023

2022
ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2021
A Review of Deep Learning on Medical Image Analysis.
Mob. Networks Appl., 2021

Knowledge distillation for secondary pulmonary tuberculosis classification ensemble.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021


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