Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. - Jixiang Qing; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene; Kohei Shintani (WSC, 2020)

Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty. - Jixiang Qing; Tom Dhaene; Ivo Couckuyt (ICML, 2022)

Finding Knees in Bayesian Multi-objective Optimization. - Arash Heidari; Jixiang Qing; Sebastian Rojas-Gonzalez; Jürgen Branke; Tom Dhaene; Ivo Couckuyt (PPSN (1), 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)

PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. - Jixiang Qing; Henry B. Moss; Tom Dhaene; Ivo Couckuyt (AISTATS, 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; et al. (CoRR, 2023)

A robust multi-objective Bayesian optimization framework considering input uncertainty. - Jixiang Qing; Ivo Couckuyt; Tom Dhaene (J. Glob. Optim., 2023)

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)

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; Rebecca D. Langdon; Robert M. Lee; Behrang Shafei; Mark van der Wilk; Calvin Tsay; Ruth Misener (Trans. Mach. Learn. Res., 2025)

Global optimization of graph acquisition functions for neural architecture search. - Yilin Xie; Shiqiang Zhang; Jixiang Qing; Ruth Misener; Calvin Tsay (CoRR, 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; et al. (CoRR, 2025)