Knowledge distillation for secondary pulmonary tuberculosis classification ensemble. - Qinghua Zhou; Hengde Zhu; Xin Zhang 071; Yudong Zhang 001 (UCC Companion, 2021)

A Review of Deep Learning on Medical Image Analysis. - Jian Wang 109; Hengde Zhu; Shui-Hua Wang; Yu-Dong Zhang 001 (Mob. Networks Appl., 2021)

ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection. - Hengde Zhu; Jian Wang 109; Shui-Hua Wang; Yudong Zhang 001; Juan Manuel Górriz (IWINAC (1), 2022)

Deep learning in food category recognition. - Yudong Zhang 001; Lijia Deng; Hengde Zhu; Wei Wang 357; Zeyu Ren; Qinghua Zhou; Siyuan Lu 001; Shiting Sun; Ziquan Zhu; Juan Manuel Górriz; Shuihua Wang (Inf. Fusion, 2023)

An Evolutionary Attention-Based Network for Medical Image Classification. - Hengde Zhu; Jian Wang 109; Shui-Hua Wang; Rajeev Raman; Juan Manuel Górriz; Yudong Zhang 001 (Int. J. Neural Syst., 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 001 (J. King Saud Univ. Comput. Inf. Sci., 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 071; Yudong Zhang 001 (Neural Networks, 2023)

MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets. - Hengde Zhu; Wei Wang 357; Irek Ulidowski; Qinghua Zhou; Shuihua Wang; Huafeng Chen; Yudong Zhang 001 (Knowl. Based Syst., 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; et al. (Inf. Fusion, 2023)

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 001; Fabien Ringeval; Elisabeth André; Hatice Gunes (FG, 2024)

PerFRDiff: Personalised Weight Editing for Multiple Appropriate Facial Reaction Generation. - Hengde Zhu; Xiangyu Kong; Weicheng Xie 001; Xin Huang; Linlin Shen; Lu Liu 001; Hatice Gunes; Siyang Song (ACM Multimedia, 2024)

PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation. - Hengde Zhu; Xiangyu Kong; Weicheng Xie 001; Xin Huang; Xilin He; Lu Liu 001; Linlin Shen; Wei Zhang; Hatice Gunes; Siyang Song (AAAI, 2025)

REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge. - Siyang Song; Micol Spitale; Xiangyu Kong; Hengde Zhu; Cheng Luo; Cristina Palmero; Germán Barquero; Sergio Escalera; Michel F. Valstar; Mohamed Daoudi; Tobias Baur 001; Fabien Ringeval; et al. (CoRR, 2025)

Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition. - Xiangyu Kong; Hengde Zhu; Haoqin Sun; Zhihao Guo; Jiayan Gu; Xinyi Ni; Wei Zhang; Shizhe Liu; Siyang Song (CoRR, 2025)