Yu Luo

Dalian University — China

Engineering · Physical Sciences

14h-index1.0kcitations84works2.92yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Control Systems Optimization(10), Software System Performance and Reliability(10), Cloud Computing and Resource Management(6), Fault Detection and Control Systems(6), Advanced Neural Network Applications(4)

Publications82 total

Towards Robust Zero-Shot Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Machine Learning Predicts Hemorrhagic Transformation after Stroke Using Diffusion and Perfusion Weighted MR Imaging
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Flow-Based Policy for Online Reinforcement Learning
arXiv (Cornell University)·2025Open Access
FaTNET: Feature-alignment transformer network for human pose transfer
Pattern Recognition·2025· 2 cited
Context-Aware Selective Regularization for General Sequential Confidence Calibration
SSRN Electronic Journal·2025Open Access
Robot Cognitive Learning by Considering Physical Properties
Engineering·2024· 2 citedOpen Access
Robust tube-based MPC with smooth computation for dexterous robot manipulation
Science China Information Sciences·2024· 5 cited
Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer’s disease
Information Fusion·2024· 10 cited
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
arXiv (Cornell University)·2024Open Access
The standard symmetrized skew information and its applications
Journal of Physics A Mathematical and Theoretical·2024Open Access
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
arXiv (Cornell University)·2024· 2 citedOpen Access
Goal-Conditioned Hierarchical Reinforcement Learning With High-Level Model Approximation
IEEE Transactions on Neural Networks and Learning Systems·2024· 14 cited
SC-Chain: An Efficient Blockchain Framework for Smart City
IEEE Internet of Things Journal·2023· 5 cited
事件相关电位研究的统计检验力分析：影响因素及方法(Statistical power analysis of event-related potential studies: influencing factors and methods)
2023Open Access
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
arXiv (Cornell University)·2023· 3 citedOpen Access
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
2023· 3 cited
Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding
arXiv (Cornell University)·2023· 2 citedOpen Access
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
arXiv (Cornell University)·2023Open Access
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model
arXiv (Cornell University)·2023· 2 citedOpen Access
Cooperative distributed model predictive control for robot in-hand manipulation
Robotic Intelligence and Automation·2023· 9 cited
page 1 of 5Next →

Frequent Co-authors

Ding Yuan(6), Michael Stumm(6), Tianying Ji(6), Fuchun Sun(6), Xu Zhao(5), Yuanqing Xia(5), Kirk Rodrigues(4), Yongle Zhang(3), David Doman(3), Mingxuan Jing(3), Wenbing Huang(3), Yongqing Wang(3), Siliang Wu(3), Andrea Serrani(2), Stephen Yurkovich(2), Michael W. Oppenheimer(2), Zhongqi Sun(2), Pengjie Wang(2), Huaping Liu(2), Jianwei Zhang(2)