Haotian Gu

Orcid: 0000-0002-0268-7147

According to our database1, Haotian Gu authored at least 19 papers between 2020 and 2024.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


FedCore: Straggler-Free Federated Learning with Distributed Coresets.
CoRR, 2024

Transportation Market Rate Forecast Using Signature Transform.
CoRR, 2024

Dynamic Programming Principles for Mean-Field Controls with Learning.
Oper. Res., July, 2023

Risk of Transfer Learning and its Applications in Finance.
CoRR, 2023

Transfer Learning for Portfolio Optimization.
CoRR, 2023

Feasibility of Transfer Learning: A Mathematical Framework.
CoRR, 2023

Feasibility and Transferability of Transfer Learning: A Mathematical Framework.
CoRR, 2023

Novel Pressure Wave Separation Analysis for Cardiovascular Function Assessment Highlights Major Role of Aortic Root.
IEEE Trans. Biomed. Eng., 2022

Multi-level Adaptation for Automatic Landing with Engine Failure under Turbulent Weather.
CoRR, 2022

AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
CoRR, 2022

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

BoFL: bayesian optimized local training pace control for energy efficient federated learning.
Proceedings of the Middleware '22: 23rd International Middleware Conference, Quebec, QC, Canada, November 7, 2022

AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

Flood Extraction from SAR Images Based on Semi-Automatic Thresholding.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis.
SIAM J. Math. Data Sci., 2021

Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows.
SIAM J. Sci. Comput., 2021

Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach.
CoRR, 2021

An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis.
CoRR, 2021

Q-Learning for Mean-Field Controls.
CoRR, 2020