Hengde Zhu

According to our database, Hengde Zhu authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge.

Siyang Song, Micol Spitale, Cheng Luo, Cristina Palmero, Germán Barquero, Hengde Zhu, Sergio Escalera, Michel F. Valstar, Tobias Baur, Fabien Ringeval, Elisabeth André, Hatice Gunes

CoRR, 2024

2023

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.

J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, M. A. Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. Zhu, J. M. Ferrández-Vicente

Inf. Fusion, December, 2023

MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets.

Hengde Zhu, Wei Wang, Irek Ulidowski, Qinghua Zhou, Shuihua Wang, Huafeng Chen, Yudong Zhang

Knowl. Based Syst., November, 2023

Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data.

Qinghua Zhou, Shuihua Wang, Hengde Zhu, Xin Zhang, Yudong Zhang

Neural Networks, October, 2023

CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data.

Zhaozhao Xu, Fangyuan Yang, Hong Wang, Junding Sun, Hengde Zhu, Shuihua Wang, Yudong Zhang

J. King Saud Univ. Comput. Inf. Sci., October, 2023

An Evolutionary Attention-Based Network for Medical Image Classification.

Hengde Zhu, Jian Wang, Shui-Hua Wang, Rajeev Raman, Juan Manuel Górriz, Yudong Zhang

Int. J. Neural Syst., March, 2023

Deep learning in food category recognition.

Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, Juan Manuel Górriz, Shuihua Wang

Inf. Fusion, 2023

2022

ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection.

Hengde Zhu, Jian Wang, Shui-Hua Wang, Yudong Zhang, Juan Manuel Górriz

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2021

A Review of Deep Learning on Medical Image Analysis.

Jian Wang, Hengde Zhu, Shui-Hua Wang, Yu-Dong Zhang

Mob. Networks Appl., 2021

Knowledge distillation for secondary pulmonary tuberculosis classification ensemble.

Qinghua Zhou, Hengde Zhu, Xin Zhang, Yudong Zhang

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021