Jixiang Qing

Conference Paper
open access

Trieste: Efficiently exploring the depths of black-box functions with TensorFlow

V. Picheny, J. Berkely, H. Stojic, U. Granta, S.W. Ober, A. Artemev, K. Ghani, A. Goodall, A. Paleyes, S. Vakill, et al.

(2024) Workshop on Bayesian Decision-making and Uncertainty, 38th Conference on Neural Information Processing Systems (NeurIPS 2024).

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Journal Article
A1
open access

Wind turbine hybrid physics-based deep learning model for a health monitoring approach considering provision of ancillary services

Nezmin Kayedpour (UGent) , Jixiang Qing (UGent) , Jolan Wauters (UGent) , Jeroen De Kooning (UGent) , Ivo Couckuyt (UGent) and Guillaume Crevecoeur (UGent)

(2024) IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. 73.

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PhD Thesis
open access

Bayesian active learning for engineering design and optimization under uncertainty

Jixiang Qing (UGent)

(2023)

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Conference Paper
P1
open access

{PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization

Jixiang Qing (UGent) , Henry B. Moss, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2023) INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 206. In Proceedings of Machine Learning Research 206. p.2565-2588

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Journal Article
A1
open access

A robust multi-objective Bayesian optimization framework considering input uncertainty

Jixiang Qing (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2023) JOURNAL OF GLOBAL OPTIMIZATION. 86(3). p.693-711

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Finding knees in Bayesian multi-objective optimization

Arash Heidari (UGent) , Jixiang Qing (UGent) , Sebastian Rojas Gonzalez (UGent) , Jürgen Branke, Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) PARALLEL PROBLEM SOLVING FROM NATURE - PPSN XVII, PPSN 2022, PT I. In Lecture notes in computer science 13398. p.104-117

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Journal Article
A1
open access

A robust Bayesian optimization framework for microwave circuit design under uncertainty

Duygu De Witte, Jixiang Qing (UGent) , Ivo Couckuyt (UGent) , Tom Dhaene (UGent) , Dries Vande Ginste (UGent) and Domenico Spina (UGent)

(2022) ELECTRONICS. 11(14).

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Conference Paper
P1
open access

Spectral representation of robustness measures for optimization under input uncertainty

Jixiang Qing (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2022) INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162. In Proceedings of machine learning research

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Journal Article
A1
open access

Adaptive sampling with automatic stopping for feasible region identification in engineering design

Jixiang Qing (UGent) , Nicolas Knudde, Federico Garbuglia (UGent) , Domenico Spina (UGent) , Ivo Couckuyt (UGent) and Tom Dhaene (UGent)

(2022) ENGINEERING WITH COMPUTERS. 38(suppl. 3). p.1955-1972

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Journal Article
A1
open access

Bayesian active learning for multi-objective feasible region identification in microwave devices

Federico Garbuglia (UGent) , Jixiang Qing (UGent) , Nicolas Knudde, Domenico Spina (UGent) , Ivo Couckuyt (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2021) ELECTRONICS LETTERS. 57(10). p.400-403

Academic Bibliography

Jixiang Qing

Trieste: Efficiently exploring the depths of black-box functions with TensorFlow

Wind turbine hybrid physics-based deep learning model for a health monitoring approach considering provision of ancillary services

Bayesian active learning for engineering design and optimization under uncertainty

{PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization

A robust multi-objective Bayesian optimization framework considering input uncertainty

Finding knees in Bayesian multi-objective optimization

A robust Bayesian optimization framework for microwave circuit design under uncertainty

Spectral representation of robustness measures for optimization under input uncertainty

Adaptive sampling with automatic stopping for feasible region identification in engineering design

Bayesian active learning for multi-objective feasible region identification in microwave devices

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