Haotian Gu

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

Collaborative distances:

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

2024

FedCore: Straggler-Free Federated Learning with Distributed Coresets.

Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, Klara Nahrstedt

CoRR, 2024

Transportation Market Rate Forecast Using Signature Transform.

Haotian Gu, Tim Jacobs, Philip M. Kaminsky, Xin Guo, Xinyu Li

CoRR, 2024

2023

Dynamic Programming Principles for Mean-Field Controls with Learning.

Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu

Oper. Res., July, 2023

Risk of Transfer Learning and its Applications in Finance.

Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum

CoRR, 2023

Transfer Learning for Portfolio Optimization.

Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum

CoRR, 2023

Feasibility of Transfer Learning: A Mathematical Framework.

Haoyang Cao, Haotian Gu, Xin Guo

CoRR, 2023

Feasibility and Transferability of Transfer Learning: A Mathematical Framework.

Haoyang Cao, Haotian Gu, Xin Guo, Mathieu Rosenbaum

CoRR, 2023

2022

Novel Pressure Wave Separation Analysis for Cardiovascular Function Assessment Highlights Major Role of Aortic Root.

Samuel Vennin, Ye Li, Jorge Mariscal Harana, Peter H. Charlton, Henry Fok, Haotian Gu, Philip J. Chowienczyk, Jordi Alastruey

IEEE Trans. Biomed. Eng., 2022

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

Haotian Gu, Hamidreza Jafarnejadsani

CoRR, 2022

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

Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Miguel Xochicale, Alberto Gómez, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King

CoRR, 2022

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging.

Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón

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.

Hongpeng Guo, Haotian Gu, Zhe Yang, Xiaoyang Wang, Eun Kyung Lee, Nandhini Chandramoorthy, Tamar Eilam, Deming Chen, Klara Nahrstedt

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.

Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King

Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

Flood Extraction from SAR Images Based on Semi-Automatic Thresholding.

Xinru Hu, Haotian Gu, Fengkai Lang, Jinqi Zhao, Nanshan Zheng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis.

Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu

SIAM J. Math. Data Sci., 2021

Error Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular Flows.

Haotian Gu, Jack Xin, Zhiwen Zhang

SIAM J. Sci. Comput., 2021

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

Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu

CoRR, 2021

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

Haotian Gu, Xin Guo

CoRR, 2021

2020

Q-Learning for Mean-Field Controls.

Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu

CoRR, 2020