Research on the Performance of xVM Virtual Machine Based on HPCC. - Tiezhu Zhao; Yilong Ding; Verdi March; Shoubin Dong; Simon See (ChinaGrid, 2009)

Trust-GSM: A Trust Aware Security Model for Multi-domain Grid. - Tiezhu Zhao; Shoubin Dong (ChinaGrid, 2010)

Evaluation of a Performance Model of Lustre File System. - Tiezhu Zhao; Verdi March; Shoubin Dong; Simon See (ChinaGrid, 2010)

Performance Evaluation of Parallel File System Based on Lustre and Grey Theory. - Tiezhu Zhao; Jinlong Hu (GCC, 2010)

A Trust Aware Grid Access Control Architecture Based on ABAC. - Tiezhu Zhao; Shoubin Dong (NAS, 2010)

A Vehicle Speed Estimation Algorithm Based on Wireless AMR Sensors. - Zusheng Zhang; Tiezhu Zhao; Huaqiang Yuan (BigCom, 2015)

Joint beamforming and power allocation for secure communication in cognitive radio networks. - Tao Chen; Huaqiang Yuan; Tiezhu Zhao; Zusheng Zhang; Xin Ao (IET Commun., 2016)

Malware Detection and Classification Based on N-Grams Attribute Similarity. - FuYong Zhang; Tiezhu Zhao (CSE/EUC (1), 2017)

Resource Allocation for Computation Offloading in Fog Radio Access Networks. - Shuqing Bu; Tiezhu Zhao; Zhenping Yin (ICCC Workshops, 2018)

On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks. - Dongyu Wang; Yanwen Lan; Tiezhu Zhao; Zhenping Yin; Xiaoxiang Wang (IEEE Access, 2018)

On the Design of Computation Offloading in Fog Radio Access Networks. - Zhongyuan Zhao 001; Shuqing Bu; Tiezhu Zhao; Zhenping Yin; Mugen Peng; Zhiguo Ding 001; Tony Q. S. Quek (IEEE Trans. Veh. Technol., 2019)

Machine learning based signal strength and uncertainty prediction for MEC mobility management. - Shangbin Wu; Junwei Ren; Tiezhu Zhao; Yue Wang 008 (VTC Fall, 2021)

Differential Evolution with a Level-Based Learning Strategy for Multimodal Optimization. - Yuhui Zhang; Wenhong Wei; Tiezhu Zhao; Zijia Wang 001 (Int. J. Intell. Syst., 2023)

AutoML-based EEG signal analysis in neuro-marketing classification using biclustering method. - Tiezhu Zhao; Francisco Nauber Bernardo Gois; João Alexandre Lôbo Marques; Bruno Riccelli Dos Santos Silva; Paulo Cortez 002; Senthil Kumar Jagatheesaperumal; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2025)

Reinforcement learning-based adaptive deep brain stimulation computational model for the treatment of tremor in Parkinson's disease. - Tiezhu Zhao; Bruno Faustino; Senthil Kumar Jagatheesaperumal; Flávia de Paiva Santos Rolim; Victor Hugo C. de Albuquerque (Expert Syst. Appl., 2025)

Heterogeneous information alignment and re-ranking for cross-modal pedestrian re-identification. - Tiezhu Zhao; Xiaolun Liang; Kejing He; Qiuhong Yang; Ziliang Ren (Multim. Tools Appl., 2025)