PTfuzz: Guided Fuzzing With Processor Trace Feedback. - Gen Zhang; Xu Zhou; Yingqi Luo; Xugang Wu; Erxue Min (IEEE Access, 2018)

A Survey on Software-Defined Wide Area Networks. - Xugang Wu; Kai Lu; Guoliang Zhu (J. Commun., 2018)

STA: Adversarial Attacks on Siamese Trackers. - Xugang Wu; Xiaoping Wang; Xu Zhou; Songlei Jian (CoRR, 2019)

A Novel Pansharpening Method with Multi-scale Mutual-structure Perception. - Zhenzhen Fan; Xu Li; Xugang Wu (IoTaaS, 2020)

A New Fusion Method for Remote Sensing Images. - Xugang Wu; Xu Li; Zhenzhen Fan (IoTaaS, 2020)

CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph. - Xugang Wu; Huijun Wu 001; Xu Zhou 004; Kai Lu 001 (CoRR, 2021)

Towards Defense Against Adversarial Attacks on Graph Neural Networks via Calibrated Co-Training. - Xugang Wu; Huijun Wu 001; Xu Zhou 004; Xiang Zhao; Kai Lu 001 (J. Comput. Sci. Technol., 2022)

Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study. - Xugang Wu; Huijun Wu 001; Ruibo Wang; Duanyu Li; Xu Zhou 004; Kai Lu 001 (ECML/PKDD (3), 2023)

Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs. - Duanyu Li; Huijun Wu 001; Min Xie; Xugang Wu; Zhenwei Wu; Wenzhe Zhang (ECAI, 2024)

Exploiting Global Graph Homophily for Generalized Defense in Graph Neural Networks. - Duanyu Li; Huijun Wu 001; Min Xie; Xugang Wu; Zhenwei Wu; Wenzhe Zhang (CoRR, 2024)

Towards adaptive graph neural networks via solving prior-data conflicts. - Xugang Wu; Huijun Wu 001; Ruibo Wang; Xu Zhou 004; Kai Lu 001 (Frontiers Inf. Technol. Electron. Eng., 2024)