Guangxi Lu

According to our database, Guangxi Lu authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Question-guided multigranular visual augmentation for knowledge-based visual question answering.

Jing Liu, Lizong Zhang, Chong Mu, Guangxi Lu, Ben Zhang, Junsong Li

Comput. Vis. Image Underst., 2026

2025

Exploring the reliability of clustering models: a case study on interpretation and overlapping issues.

Mustafa Kadhim, Peilin Li, Guangxi Lu, Jianbo Wang, Ruyi Tang, Songlin Ye

Int. J. Mach. Learn. Cybern., November, 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., September, 2025

Lightweight on-edge clustering for wireless AI-driven applications.

Kadhim Mustafa Raad Kadhim, Guangxi Lu, Yinong Shi, Jianbo Wang, Wu Kui

IET Commun., 2025

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

2024

Neural-based inexact graph de-anonymization.

Guangxi Lu, Kaiyang Li, Xiaotong Wang, Ziyue Liu, Zhipeng Cai, Wei Li

High Confid. Comput., 2024

Learning Granularity Representation for Temporal Knowledge Graph Completion.

Jinchuan Zhang, Tianqi Wan, Chong Mu, Guangxi Lu, Ling Tian

Proceedings of the Neural Information Processing - 31st International Conference, 2024

2023

DEFEAT: A decentralized federated learning against gradient attacks.

Guangxi Lu, Zuobin Xiong, Ruinian Li, Nael Mohammad, Yingshu Li, Wei Li

High Confid. Comput., 2023

2022

Decentralized Federated Learning: A Defense Against Gradient Inversion Attack.

Guangxi Lu, Zuobin Xiong, Ruinian Li, Wei Li

Proceedings of the Wireless Internet - 15th EAI International Conference, 2022

Pairwise Gaussian Graph Convolutional Networks: Defense Against Graph Adversarial Attack.

Guangxi Lu, Zuobin Xiong, Jing Meng, Wei Li

Proceedings of the IEEE Global Communications Conference, 2022

2021

Integrating knowledge-based sparse representation for image detection.

Guangxi Lu, Ling Tian, Xu Zheng, Bei Hui

Neurocomputing, 2021