Yaming Guo

According to our database, Yaming Guo authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

BAP-SRL: Bayesian Adaptive Priority Safe Reinforcement Learning for Vehicle Motion Planning at Mixed Traffic Intersections.

Yuansheng Lian, Ke Zhang, Yaming Guo, Shen Li, Meng Li

CoRR, January, 2026

2025

Mitigating Update Conflict in Non-IID Federated Learning via Orthogonal Class Gradients.

Siyang Guo, Yaming Guo, Hui Zhang, Junbo Wang

IEEE Trans. Mob. Comput., April, 2025

Lane clearance for emergency vehicle passage in connected and automated environment: A graph convolutional soft actor-critic method.

Xu Yang, Meng Li, Ke Zhang, Qianchuan Zhao, Yaming Guo

Expert Syst. Appl., 2025

Towards Lifelong Model Editing via Simulating Ideal Editor.

Yaming Guo, Siyang Guo, Hengshu Zhu, Ying Sun

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Mentored Learning: Improving Generalization and Convergence of Student Learner.

Xiaofeng Cao, Yaming Guo, Heng Tao Shen, Ivor W. Tsang, James T. Kwok

J. Mach. Learn. Res., 2024

OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation.

Yaming Guo, Chen Zhu, Hengshu Zhu, Tieru Wu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.

Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships.

Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang

Proceedings of the International Conference on Machine Learning, 2023

2022

A Survey of Learning on Small Data.

Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang

CoRR, 2022

When an Active Learner Meets a Black-box Teacher.

Xiaofeng Cao, Yaming Guo, Tieru Wu, Ivor W. Tsang

CoRR, 2022

2021

Edge Computing-Enabled Crowd Density Estimation based on Lightweight Convolutional Neural Network.

Shuo Wang, Ziyuan Pu, Qianmu Li, Yaming Guo, Meng Li

Proceedings of the IEEE International Smart Cities Conference, 2021