PCA-SVM-Based Approach of Detecting Low-Rate DoS Attack. - Dongshuo Zhang; Dan Tang; Liu Tang; Rui Dai; Jingwen Chen; Ningbo Zhu (HPCC/SmartCity/DSS, 2019)

Work in Progress: Network Attack Detection Towards Smart Factory. - Dan Tang; Dongshuo Zhang; Huan Zhao 003; Dashun Liu; Yudong Yan; Jingwen Chen (RTAS, 2021)

A novel LDoS attack detection method based on reconstruction anomaly. - Dan Tang; Yudong Yan; Rui Dai; Zheng Qin 001; Jingwen Chen; Dongshuo Zhang (Clust. Comput., 2022)

ADMS: An online attack detection and mitigation system for LDoS attacks via SDN. - Dan Tang; Xiyin Wang; Yudong Yan; Dongshuo Zhang; Huan Zhao 003 (Comput. Commun., 2022)

Training-Free Attentive-Patch Selection for Visual Place Recognition. - Dongshuo Zhang; Meiqing Wu; Siew-Kei Lam (IROS, 2023)

SFTO-Guard: Real-time detection and mitigation system for slow-rate flow table overflow attacks. - Dan Tang; Dongshuo Zhang; Zheng Qin 001; Qiuwei Yang; Sheng Xiao (J. Netw. Comput. Appl., 2023)

CurricularVPR: Curricular Contrastive Loss for Visual Place Recognition. - Dongshuo Zhang; Nanhua Chen; Meiqing Wu; Siew-Kei Lam (IROS, 2024)

Low-rate flow table overflow attack defense system based on two-level threshold in software-defined networks. - Dan Tang; Chenguang Zuo; Xinmeng Li; Pei Tan; Dongshuo Zhang; Zheng Qin 001 (Expert Syst. Appl., 2025)