Integrating knowledge-based sparse representation for image detection. - Guangxi Lu; Ling Tian; Xu Zheng 001; Bei Hui (Neurocomputing, 2021)

Pairwise Gaussian Graph Convolutional Networks: Defense Against Graph Adversarial Attack. - Guangxi Lu; Zuobin Xiong; Jing Meng; Wei Li 059 (GLOBECOM, 2022)

Decentralized Federated Learning: A Defense Against Gradient Inversion Attack. - Guangxi Lu; Zuobin Xiong; Ruinian Li; Wei Li 059 (WiCON, 2022)

Learning Granularity Representation for Temporal Knowledge Graph Completion. - Jinchuan Zhang; Tianqi Wan; Chong Mu; Guangxi Lu; Ling Tian (ICONIP (6), 2024)

AdvGrid: A multi-view black-box attack on infrared pedestrian detectors in the physical world. - Kalibinuer Tiliwalidi; Chengyin Hu; Guangxi Lu; Ming Jia; Weiwen Shi (Appl. Soft Comput., 2025)

Lightweight on-edge clustering for wireless AI-driven applications. - Mustafa Raad Kadhim; Guangxi Lu; Yinong Shi; Jianbo Wang; Wu Kui (IET Commun., 2025)

Adversarial translucent patch: a robust physical attack technique against object detectors. - Kalibinuer Tiliwalidi; Chengyin Hu; Weiwen Shi; Guangxi Lu; Hao Wu (Pattern Anal. Appl., 2025)