Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks. - Kaiyuan Liu; Xingyu Li; Yi Zhou; Jisong Guan; Yurui Lai; Ge Zhang; Hang Su; Jiachen Wang; Chunxu Guo (CoRR, 2021)

NCCR: Neighbor and Cluster Consistency Regularization for Improving Graph Node Classification. - Feiming Yang; Yurui Lai; Leshan Wang; Rui Fan 004 (ICTAI, 2022)

Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks. - Kaiyuan Liu; Xingyu Li; Yurui Lai; Hang Su; Jiachen Wang; Chunxu Guo; Hong Xie; Jisong Guan; Yi Zhou (Int. J. Autom. Comput., 2022)

Self-attention Dual Embedding for Graphs with Heterophily. - Yurui Lai; Taiyan Zhang; Rui Fan 004 (CoRR, 2023)

Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks. - Yurui Lai; Xiaoyang Lin; Renchi Yang; Hongtao Wang (KDD, 2024)

Improved Topology Features for Node Classification on Heterophilic Graphs. - Yurui Lai; Taiyan Zhang; Rui Fan 004 (ECML/PKDD (7), 2024)

Cost-Effective Label-free Node Classification with LLMs. - Taiyan Zhang; Renchi Yang; Mingyu Yan; Xiaochun Ye; Dongrui Fan; Yurui Lai (CoRR, 2024)

Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs. - Taiyan Zhang; Renchi Yang; Yurui Lai; Mingyu Yan; Xiaochun Ye; Dongrui Fan (SIGIR, 2025)

Simple yet Effective Graph Distillation via Clustering. - Yurui Lai; Taiyan Zhang; Renchi Yang (CoRR, 2025)