Xubo Yue - RankMe

26 papers A 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CausalGDP: Causality-Guided Diffusion Policies for Reinforcement Learning. CoRR Xiaofeng Xiao, Xiao Hu, Yang Ye, Xubo Yue
2026	J	`jnl`	Fed-Joint: Joint modeling of nonlinear degradation signals and failure events for remaining useful life prediction using federated learning. Reliab. Eng. Syst. Saf. Cheoljoon Jeong, Xubo Yue, Seokhyun Chung
2026	J	`jnl`	Physics as the Inductive Bias for Causal Discovery. CoRR Jianhong Chen, Naichen Shi, Xubo Yue
2025	J	`jnl`	Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations. CoRR Xiaofeng Xiao, Bo Shen, Xubo Yue
2025	J	`jnl`	Collaborative and Distributed Bayesian Optimization via Consensus. IEEE Trans Autom. Sci. Eng. Xubo Yue, Yang Liu, Albert S. Berahas, Blake N. Johnson, Raed Al Kontar
2025	J	`jnl`	Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing. CoRR Xiaofeng Xiao, Khawlah Alharbi, Pengyu Zhang, Hantang Qin, Xubo Yue
2025	J	`jnl`	Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning. CoRR Cheoljoon Jeong, Xubo Yue, Seokhyun Chung
2025	J	`jnl`	Toward Temporal Causal Representation Learning with Tensor Decomposition. CoRR Jianhong Chen, Meng Zhao, Mostafa Reisi Gahrooei, Xubo Yue
2024	J	`jnl`	Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Xubo Yue, Raed Kontar
2024	J	`jnl`	SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization. IEEE Trans. Neural Networks Learn. Syst. Xubo Yue, Maher Nouiehed, Raed Al Kontar
2024	J	`jnl`	Temporal Causal Discovery in Dynamic Bayesian Networks Using Federated Learning. CoRR Jianhong Chen, Ying Ma, Xubo Yue
2024	J	`jnl`	The optimization and operation of multi-energy-coupled microgrids by the improved fireworks algorithm-shuffled frog-leaping algorithm. PeerJ Comput. Sci. Xubo Yue, Jing Zhang, Junhui Guo, Jianfei Li, Diyu Chen
2023	J	`jnl`	Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design. CoRR Xubo Yue, Raed Al Kontar, Albert S. Berahas, Yang Liu, Zhenghao Zai, Kevin Edgar, Blake N. Johnson
2023	J	`jnl`	Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
2022	J	`jnl`	Federated Data Analytics: A Study on Linear Models. CoRR Xubo Yue, Raed Al Kontar, Ana María Estrada Gómez
2022	J	`jnl`	Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks. CoRR Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong
2021	J	`jnl`	Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling. CoRR Xubo Yue, Raed Al Kontar
2021	J	`jnl`	GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning. CoRR Xubo Yue, Maher Nouiehed, Raed Al Kontar
2021	J	`jnl`	Joint Models for Event Prediction From Time Series and Survival Data. Technometrics Xubo Yue, Raed Al Kontar
2021	J	`jnl`	The Internet of Federated Things (IoFT). IEEE Access 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
2021	J	`jnl`	The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning. CoRR 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
2020	J	`jnl`	SALR: Sharpness-aware Learning Rates for Improved Generalization. CoRR Xubo Yue, Maher Nouiehed, Raed Al Kontar
2020	A	`conf`	Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout. AISTATS Xubo Yue, Raed Al Kontar
2019	J	`jnl`	Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons. CoRR Xubo Yue, Raed Al Kontar
2019	J	`jnl`	The Rényi Gaussian Process. CoRR Xubo Yue, Raed Kontar
2019	J	`jnl`	Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes. CoRR Xubo Yue, Raed Kontar