Edge Computing-Enabled Crowd Density Estimation based on Lightweight Convolutional Neural Network. - Shuo Wang 017; Ziyuan Pu; Qianmu Li; Yaming Guo; Meng Li 017 (ISC2, 2021)

When an Active Learner Meets a Black-box Teacher. - Xiaofeng Cao 002; Yaming Guo; Tieru Wu; Ivor W. Tsang (CoRR, 2022)

A Survey of Learning on Small Data. - Xiaofeng Cao 002; Weixin Bu; Shengjun Huang; Ying-Peng Tang; Yaming Guo; Yi Chang 001; Ivor W. Tsang (CoRR, 2022)

Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships. - Yaming Guo; Kai Guo 003; Xiaofeng Cao 002; Tieru Wu; Yi Chang 001 (ICML, 2023)

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. - Kai Guo 003; Hongzhi Wen; Wei Jin 009; Yaming Guo; Jiliang Tang; Yi Chang 001 (KDD, 2024)

OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation. - Yaming Guo; Chen Zhu 003; Hengshu Zhu; Tieru Wu (NeurIPS, 2024)

Lane clearance for emergency vehicle passage in connected and automated environment: A graph convolutional soft actor-critic method. - Xu Yang; Meng Li 017; Ke Zhang; Qianchuan Zhao; Yaming Guo (Expert Syst. Appl., 2025)

Mitigating Update Conflict in Non-IID Federated Learning via Orthogonal Class Gradients. - Siyang Guo; Yaming Guo; Hui Zhang; Junbo Wang 001 (IEEE Trans. Mob. Comput., 2025)