Jixiang Qing

According to our database, Jixiang Qing authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning.

Toby Boyne, Juan S. Campos, Becky D. Langdon, Jixiang Qing, Yilin Xie, Shiqiang Zhang, Calvin Tsay, Ruth Misener, Daniel W. Davies, Kim E. Jelfs, Sarah Boyall, Thomas M. Dixon, Linden Schrecker, Jose Pablo Folch

CoRR, June, 2025

Global optimization of graph acquisition functions for neural architecture search.

Yilin Xie, Shiqiang Zhang, Jixiang Qing, Ruth Misener, Calvin Tsay

CoRR, May, 2025

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization.

Jixiang Qing, Rebecca D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener

Trans. Mach. Learn. Res., 2025

2024

Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services.

Nezmin Kayedpour, Jixiang Qing, Jolan Wauters, Jeroen D. M. De Kooning, Ivo Couckuyt, Guillaume Crevecoeur

IEEE Trans. Instrum. Meas., 2024

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization.

Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener

CoRR, 2024

2023

A robust multi-objective Bayesian optimization framework considering input uncertainty.

Jixiang Qing, Ivo Couckuyt, Tom Dhaene

J. Glob. Optim., July, 2023

Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow.

Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S. Loka, Ivo Couckuyt

CoRR, 2023

PF²ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization.

Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

PF²ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints.

Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

CoRR, 2022

Finding Knees in Bayesian Multi-objective Optimization.

Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty.

Jixiang Qing, Tom Dhaene, Ivo Couckuyt

Proceedings of the International Conference on Machine Learning, 2022

2020

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization.

Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani

Proceedings of the Winter Simulation Conference, 2020