Xubo Yue

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Dynamical Model

Gaussian Process

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Xubo Yue, Raed Kontar
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Xubo Yue, Jing Zhang, Junhui Guo, Jianfei Li, Diyu Chen
The optimization and operation of multi-energy-coupled microgrids by the improved fireworks algorithm-shuffled frog-leaping algorithm. PeerJ Comput. Sci. 10 (2024)
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Xubo Yue, Raed Al Kontar, Albert S. Berahas, Yang Liu, Zhenghao Zai, Kevin Edgar, Blake N. Johnson
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design. CoRR (2023)
Xubo Yue, Raed Al Kontar, Ana María Estrada Gómez
Federated Data Analytics: A Study on Linear Models. CoRR (2022)
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks. CoRR (2022)
Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye
The Internet of Federated Things (IoFT). IEEE Access 9 (2021)
Xubo Yue, Raed Al Kontar
Joint Models for Event Prediction From Time Series and Survival Data. Technometrics 63 (4) (2021)
Xubo Yue, Maher Nouiehed, Raed Al Kontar
GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. CoRR (2021)
Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. CoRR (2021)
Xubo Yue, Raed Al Kontar
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling. CoRR (2021)
Xubo Yue, Raed Al Kontar
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout. AISTATS (2020)
Xubo Yue, Maher Nouiehed, Raed Al Kontar
SALR: Sharpness-aware Learning Rates for Improved Generalization. CoRR (2020)
Xubo Yue, Raed Al Kontar
Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. CoRR (2019)
Xubo Yue, Raed Kontar
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes. CoRR (2019)
Xubo Yue, Raed Kontar
The Rényi Gaussian Process. CoRR (2019)