We stand with Ukraine

We stand with Ukraine

Weijie Zheng

Orcid: 0000-0002-8483-0161

Affiliations:

Harbin Institute of Technology Shenzhen, China
Tsinghua University, Beijing, China
Southern University of Science and Technology, Shenzhen, China

According to our database¹, Weijie Zheng authored at least 30 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2024

Choosing the right algorithm with hints from complexity theory.

[BibT_eX]

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Inf. Comput., January, 2024

How to Use the Metropolis Algorithm for Multi-Objective Optimization?

[BibT_eX]

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Runtime Analysis of the SMS-EMOA for Many-Objective Optimization.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II).

[BibT_eX]

[DOI]

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Artif. Intell., December, 2023

Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives.

[BibT_eX]

[DOI]

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Evol. Comput., 2023

Theoretical Analyses of Evolutionary Algorithms on Time-Linkage OneMax with General Weights.

[BibT_eX]

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CoRR, 2023

2022

Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Three or More Objectives.

[BibT_eX]

[DOI]

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CoRR, 2022

From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms.

[BibT_eX]

[DOI]

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CoRR, 2022

Choosing the right algorithm with hints from complexity theory: (hot-off-the-press track at GECCO 2022).

[BibT_eX]

[DOI]

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Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A first mathematical runtime analysis of the non-dominated sorting genetic algorithm II (NSGA-II): (hot-off-the-press track at GECCO 2022).

[BibT_eX]

[DOI]

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Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Better approximation guarantees for the NSGA-II by using the current crowding distance.

[BibT_eX]

[DOI]

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Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II).

[BibT_eX]

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property.

[BibT_eX]

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IEEE Trans. Evol. Comput., 2021

Theoretical analyses of multi-objective evolutionary algorithms on multi-modal objectives: (hot-off-the-press track at GECCO 2021).

[BibT_eX]

[DOI]

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Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

When non-elitism meets time-linkage problems.

[BibT_eX]

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Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021).

[BibT_eX]

[DOI]

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Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms.

[BibT_eX]

[DOI]

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IEEE Trans. Evol. Comput., 2020

Working principles of binary differential evolution.

[BibT_eX]

[DOI]

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Theor. Comput. Sci., 2020

Efficient AES implementation on Sunway TaihuLight supercomputer: A systematic approach.

[BibT_eX]

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J. Parallel Distributed Comput., 2020

From understanding genetic drift to a smart-restart parameter-less compact genetic algorithm.

[BibT_eX]

[DOI]

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Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Sharp bounds for genetic drift in estimation of distribution algorithms (Hot-off-the-press track at GECCO 2020).

[BibT_eX]

[DOI]

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Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Sharp Bounds for Genetic Drift in EDAs.

[BibT_eX]

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CoRR, 2019

2018

Optimizing Convolutional Neural Networks on the Sunway TaihuLight Supercomputer.

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ACM Trans. Archit. Code Optim., 2018

Working principles of binary differential evolution.

[BibT_eX]

[DOI]

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Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

SW-AES: Accelerating AES Algorithm on the Sunway TaihuLight.

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Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

swDNN: A Library for Accelerating Deep Learning Applications on Sunway TaihuLight.

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Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer.

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Proceedings of the International Conference for High Performance Computing, 2016

TADE: Tight Adaptive Differential Evolution.

[BibT_eX]

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Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015

Targeted Mutation: A Novel Mutation Strategy for Differential Evolution.

[BibT_eX]

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Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

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