Hao Wang

Hao Wang

Universiteit Leiden

H-index: 24

Europe-Netherlands

About Hao Wang

Hao Wang, With an exceptional h-index of 24 and a recent h-index of 24 (since 2020), a distinguished researcher at Universiteit Leiden, specializes in the field of Bayesian Optimization, Multi-Objective Optimization, Variational Quantum Algorithms, Benchmarking.

His recent articles reflect a diverse array of research interests and contributions to the field:

Verifying randomness in sets of quantum states via observables

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder

Analyzing variational quantum landscapes with information content

Limited generalizability of multivariate brain-based dimensions of child psychiatric symptoms

Evolutionary Multi-Criterion Optimization: 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20–24, 2023, Proceedings

Iohexperimenter: Benchmarking platform for iterative optimization heuristics

Variational Quantum Multi-Objective Optimization

Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis

Hao Wang Information

University

Position

Assistant Professor in

Citations(all)

1709

Citations(since 2020)

1606

Cited By

478

hIndex(all)

24

hIndex(since 2020)

24

i10Index(all)

52

i10Index(since 2020)

50

Email

University Profile Page

Universiteit Leiden

Google Scholar

View Google Scholar Profile

Hao Wang Skills & Research Interests

Bayesian Optimization

Multi-Objective Optimization

Variational Quantum Algorithms

Benchmarking

Top articles of Hao Wang

Title

Journal

Author(s)

Publication Date

Verifying randomness in sets of quantum states via observables

arXiv preprint arXiv:2404.16211

Xavier Bonet-Monroig

Hao Wang

Adrián Pérez-Salinas

2024/4/24

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder

arXiv preprint arXiv:2403.05352

Jiajie Fan

Amal Trigui

Thomas Bäck

Hao Wang

2024/3/8

Analyzing variational quantum landscapes with information content

npj Quantum Information

Adrián Pérez-Salinas

Hao Wang

Xavier Bonet-Monroig

2024/2/29

Limited generalizability of multivariate brain-based dimensions of child psychiatric symptoms

Communications Psychology

Bing Xu

Lorenza Dall’Aglio

John Flournoy

Gerda Bortsova

Brenden Tervo-Clemmens

...

2024/2/28

Evolutionary Multi-Criterion Optimization: 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20–24, 2023, Proceedings

Michael Emmerich

André Deutz

Hao Wang

Anna V Kononova

Boris Naujoks

...

2023/3/9

Iohexperimenter: Benchmarking platform for iterative optimization heuristics

Evolutionary Computation

Jacob de Nobel

Furong Ye

Diederick Vermetten

Hao Wang

Carola Doerr

...

2024/2/15

Variational Quantum Multi-Objective Optimization

arXiv preprint arXiv:2312.14151

Linus Ekstrom

Hao Wang

Sebastian Schmitt

2023/12/21

Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis

arXiv preprint arXiv:2307.10166

Jiajie Fan

Laure Vuaille

Hao Wang

Thomas Bäck

2023/7/19

Performance comparison of optimization methods on variational quantum algorithms

Physical Review A

Xavier Bonet-Monroig

Hao Wang

Diederick Vermetten

Bruno Senjean

Charles Moussa

...

2023/3/7

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models

arXiv preprint arXiv:2311.11207

Jiajie Fan

Laure Vuaille

Thomas Bäck

Hao Wang

2023/11/19

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler

Frank Neumann

Aneta Neumann

Chao Qian

Anh Viet Do

Jacob de Nobel

...

2023/7/1

Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach

Clinical Neurophysiology

MR Tannemaat

M Kefalas

VJ Geraedts

L Remijn-Nelissen

AJM Verschuuren

...

2023/2/1

Application of quantum-inspired generative models to small molecular datasets

Charles Moussa

Hao Wang

Mauricio Araya-Polo

Thomas Bäck

Vedran Dunjko

2023/9/17

Evolutionary Algorithms for Parameter Optimization—Thirty Years Later

Evolutionary Computation

Thomas HW Bäck

Anna V Kononova

Bas van Stein

Hao Wang

Kirill A Antonov

...

2023/6/1

Classification-based process parameter recommendation in sheet metal forming

Journal of Industrial Information Integration

Zhengtian Ai

Ingo Heinle

Christian Schelske

Hao Wang

Peter Krause

...

2023/8/1

The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems

Mathematical and Computational Applications

Hao Wang

Michael Emmerich

André Deutz

Víctor Adrián Sosa Hernández

Oliver Schütze

2023/1/9

To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features

Diederick Vermetten

Hao Wang

Kevin Sim

Emma Hart

2023/4/9

Bayesian Optimization

Ivo Couckuy

Sebastian Rojas-Gonzalez

Juergen Branke

Bernd Bischl

2023/7/15

Multivariate brain-based dimensions of child psychiatric problems: degrees of generalizability

medRxiv

Bing Xu

Lorenza Dall’Aglio

John Flournoy

Gerda Bortsova

Brenden Tervo-Clemmens

...

2023/3/20

Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies

arXiv preprint arXiv:2204.06539

Dominik Schröder

Diederick Vermetten

Hao Wang

Carola Doerr

Thomas Bäck

2022/4/13

See List of Professors in Hao Wang University(Universiteit Leiden)

Co-Authors

H-index: 66
Thomas Bäck

Thomas Bäck

Universiteit Leiden

H-index: 44
Mike Preuss

Mike Preuss

Universiteit Leiden

H-index: 42
Michael T.M. Emmerich (Dr. rer. nat.)

Michael T.M. Emmerich (Dr. rer. nat.)

Universiteit Leiden

H-index: 32
M.R. Tannemaat

M.R. Tannemaat

Universiteit Leiden

H-index: 22
Pascal Kerschke

Pascal Kerschke

Technische Universität Dresden

H-index: 20
Christian Grimme

Christian Grimme

Westfälische Wilhelms-Universität Münster

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