Qing, Jixiang

6 publications

ICLRW 2025 Molecular Design Using Graph Bayesian Optimization with Shortest-Path Kernels Yilin Xie, Shiqiang Zhang, Jixiang Qing, Ruth Misener, Calvin Tsay

TMLR 2025 System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization Jixiang Qing, Rebecca D. Langdon, Robert Matthew Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener

NeurIPS 2025 The Catechol Benchmark: Time-Series Solvent Selection Data for Few-Shot Machine Learning Toby Boyne, Juan S Campos, Rebecca D. Langdon, Jixiang Qing, Yilin Xie, Shiqiang Zhang, Calvin Tsay, Ruth Misener, Daniel W. Davies, Kim E Jelfs, Sarah Boyall, Thomas Mark Dixon, Linden Schrecker, Jose Pablo Folch

NeurIPSW 2024 Trieste: Efficiently Exploring the Depths of Black-Box Functions with TensorFlow Henry Moss, Victor Picheny, Hrvoje Stojic, Sebastian W. Ober, Artem Artemev, Andrei Paleyes, Sattar Vakili, Stratis Markou, Jixiang Qing, Nasrulloh Ratu Bagus Satrio Loka, Ivo Couckuyt

AISTATS 2023 PF$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

ICML 2022 Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty Jixiang Qing, Tom Dhaene, Ivo Couckuyt