Enhanced Convolutional Neural Network for Abnormal Event Detection in Video Streams. - Samir Bouindour; Ronghua Hu; Hichem Snoussi (AIKE, 2019)

Multiple Cues Association for Multiple Object Tracking Based on Convolutional Neural Network. - Ronghua Hu; Samir Bouindour; Hichem Snoussi; Abel Cherouat; Charbel Chahla (AIKE, 2019)

Improved Transductive Support Vector Machine for a Small Labelled Set in Motor Imagery-Based Brain-Computer Interface. - Yilu Xu; Jing Hua 004; Hua Zhang 013; Ronghua Hu; Xin Huang 013; Jizhong Liu; Fumin Guo (Comput. Intell. Neurosci., 2019)

Transfer Learning Based on Regularized Common Spatial Patterns Using Cosine Similarities of Spatial Filters for Motor-Imagery BCI. - Yilu Xu; Qingguo Wei; Hua Zhang 013; Ronghua Hu; Jizhong Liu; Jing Hua 004; Fumin Guo (J. Circuits Syst. Comput., 2019)

Multiple Kernelized Correlation Filters (MKCF) for Extended Object Tracking Using X-Band Marine Radar Data. - Yi Zhou 011; Tian Wang 002; Ronghua Hu; Hang Su 006; Yi Liu 041; Xiaoming Liu; Jidong Suo; Hichem Snoussi (IEEE Trans. Signal Process., 2019)

FT-MDnet: A Deep-Frozen Transfer Learning Framework for Person Search. - Ronghua Hu; Tian Wang 002; Yi Zhou 011; Hichem Snoussi; Abel Cherouat (IEEE Trans. Inf. Forensics Secur., 2021)

Deep Learning End-to-end Person Search and Multiple Pedestrian Tracking. (Apprentissage profond de bout-en-bout pour la ré-identification et le suivi de personnes). - Ronghua Hu (2021)

STDPNet: a dual-path surface defect detection neural network based on shearlet transform. - Dong An; Ronghua Hu; Liting Fan; Zhili Chen; Zetong Liu; Peng Zhou (Vis. Comput., 2024)

Bridging Computer Science and English Education: A Curriculum Approach to Interdisciplinary Research and Teaching. - Zili Chen; Tian Liu; Ronghua Hu (ISSSR, 2025)