GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware. - Xin Liu 073; Mingyu Yan; Shuhan Song; Zhengyang Lv; Wenming Li; Guangyu Sun 003; Xiaochun Ye; Dongrui Fan (ECML/PKDD (5), 2022)

A Structure-Aware Graph Representation Learning Optimization. - Ping Li; Shuhan Song; Huawei Cao; Yuan Zhang; Zhimin Tang; Xiaochun Ye (IJCNN, 2024)

Towards Efficient Sparse Deep Neural Network Inference via Multi-level Concurrency Orchestration. - Ming Dun; Jie Zhou; Huawei Cao; Shuhan Song; Yiming Sun; Mingyu Yan; Xiaochun Ye (HPEC, 2025)

GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks. - Shuhan Song; Ping Li; Ming Dun; Maolei Huang; Huawei Cao; Xiaochun Ye (ICLR, 2025)

Equipping Graph Autoencoders: Revisiting Masking Strategies from a Robustness Perspective. - Shuhan Song; Ping Li; Ming Dun; Yuan Zhang; Huawei Cao; Xiaochun Ye (SDM, 2025)

SPMGAE: Self-purified masked graph autoencoders release robust expression power. - Shuhan Song; Ping Li; Ming Dun; Yuan Zhang; Huawei Cao; Xiaochun Ye (Neurocomputing, 2025)

DeinfoAttack: A heuristic graph adversarial attack algorithm leveraging graph topological information entropy. - Yajing Wang; Huawei Cao; Shuhan Song (Neurocomputing, 2026)