Weijie Zheng

According to our database, Weijie Zheng authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency for Many Objectives.

Weijie Zheng, Benjamin Doerr

IEEE Trans. Evol. Comput., October, 2024

Choosing the right algorithm with hints from complexity theory.

Shouda Wang, Weijie Zheng, Benjamin Doerr

Inf. Comput., January, 2024

Overcome the Difficulties of NSGA-II via Truthful Crowding Distance with Theoretical Guarantees.

Weijie Zheng, Benjamin Doerr

CoRR, 2024

When Does the Time-Linkage Property Help Optimization by Evolutionary Algorithms?

Mingfeng Li, Weijie Zheng, Wen Xie, Ao Sun, Xin Yao

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Runtime Analysis for State-of-the-Art Multi-objective Evolutionary Algorithms on the Subset Selection Problem.

Renzhong Deng, Weijie Zheng, Mingfeng Li, Jie Liu, Benjamin Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Evolutionary Multiobjective Optimization (EMO).

Joshua D. Knowles, Weijie Zheng

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization.

Weijie Zheng, Benjamin Doerr

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Hot off the Press: Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives.

Weijie Zheng, Benjamin Doerr

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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

Weijie Zheng, Mingfeng Li, Renzhong Deng, Benjamin Doerr

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

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

Weijie Zheng, Benjamin Doerr

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).

Weijie Zheng, Benjamin Doerr

Artif. Intell., December, 2023

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

Weijie Zheng, Benjamin Doerr

J. Mach. Learn. Res., 2023

Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives.

Weijie Zheng, Benjamin Doerr

Evol. Comput., 2023

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

Weijie Zheng, Xin Yao

CoRR, 2023

2022

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

Weijie Zheng, Benjamin Doerr

CoRR, 2022

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

Shouda Wang, Weijie Zheng, Benjamin Doerr

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).

Weijie Zheng, Yufei Liu, Benjamin Doerr

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.

Weijie Zheng, Benjamin Doerr

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).

Weijie Zheng, Yufei Liu, Benjamin Doerr

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

2021

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

Weijie Zheng, Huanhuan Chen, Xin Yao

IEEE Trans. Evol. Comput., 2021

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

Benjamin Doerr, Weijie Zheng

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

When non-elitism meets time-linkage problems.

Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao

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).

Weijie Zheng, Huanhuan Chen, Xin Yao

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

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

Benjamin Doerr, Weijie Zheng

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

2020

Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms.

Benjamin Doerr, Weijie Zheng

IEEE Trans. Evol. Comput., 2020

Working principles of binary differential evolution.

Benjamin Doerr, Weijie Zheng

Theor. Comput. Sci., 2020

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

Liandeng Li, Jiarui Fang, Jinlei Jiang, Lin Gan, Weijie Zheng, Haohuan Fu, Guangwen Yang

J. Parallel Distributed Comput., 2020

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

Benjamin Doerr, Weijie Zheng

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).

Benjamin Doerr, Weijie Zheng

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

2019

Sharp Bounds for Genetic Drift in EDAs.

Benjamin Doerr, Weijie Zheng

CoRR, 2019

2018

Optimizing Convolutional Neural Networks on the Sunway TaihuLight Supercomputer.

Wenlai Zhao, Haohuan Fu, Jiarui Fang, Weijie Zheng, Lin Gan, Guangwen Yang

ACM Trans. Archit. Code Optim., 2018

Working principles of binary differential evolution.

Weijie Zheng, Guangwen Yang, Benjamin Doerr

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

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

Liandeng Li, Jiarui Fang, Jinlei Jiang, Lin Gan, Weijie Zheng, Haohuan Fu, Guangwen Yang

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.

Jiarui Fang, Haohuan Fu, Wenlai Zhao, Bingwei Chen, Weijie Zheng, Guangwen Yang

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.

Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, Dexun Chen, Long Gu, Jinxiu Xu, Nan Ding, Xinliang Wang, Conghui He, Shizhen Xu, Yishuang Liang, Jiarui Fang, Yuanchao Xu, Weijie Zheng, Jingheng Xu, Zhen Zheng, Wanjing Wei, Xu Ji, He Zhang, Bingwei Chen, Kaiwei Li, Xiaomeng Huang, Wenguang Chen, Guangwen Yang

Proceedings of the International Conference for High Performance Computing, 2016

TADE: Tight Adaptive Differential Evolution.

Weijie Zheng, Haohuan Fu, Guangwen Yang

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

2015

Targeted Mutation: A Novel Mutation Strategy for Differential Evolution.

Weijie Zheng, Haohuan Fu, Guangwen Yang

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