Targeted Mutation: A Novel Mutation Strategy for Differential Evolution. - Weijie Zheng 001; Haohuan Fu; Guangwen Yang (ICTAI, 2015)

TADE: Tight Adaptive Differential Evolution. - Weijie Zheng 001; Haohuan Fu; Guangwen Yang (PPSN, 2016)

Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer. - Haohuan Fu; Junfeng Liao; Wei Xue 003; Lanning Wang; Dexun Chen; Long Gu; Jinxiu Xu 001; Nan Ding 006; Xinliang Wang; Conghui He; Shizhen Xu; Yishuang Liang; et al. (SC, 2016)

swDNN: A Library for Accelerating Deep Learning Applications on Sunway TaihuLight. - Jiarui Fang; Haohuan Fu; Wenlai Zhao; Bingwei Chen; Weijie Zheng 001; Guangwen Yang (IPDPS, 2017)

SW-AES: Accelerating AES Algorithm on the Sunway TaihuLight. - Liandeng Li; Jiarui Fang; Jinlei Jiang; Lin Gan; Weijie Zheng 001; Haohuan Fu; Guangwen Yang (ISPA/IUCC, 2017)

Working principles of binary differential evolution. - Weijie Zheng 001; Guangwen Yang; Benjamin Doerr (GECCO, 2018)

Optimizing Convolutional Neural Networks on the Sunway TaihuLight Supercomputer. - Wenlai Zhao; Haohuan Fu; Jiarui Fang; Weijie Zheng 001; Lin Gan; Guangwen Yang (ACM Trans. Archit. Code Optim., 2018)

Sharp Bounds for Genetic Drift in EDAs. - Benjamin Doerr; Weijie Zheng 001 (CoRR, 2019)

Sharp bounds for genetic drift in estimation of distribution algorithms (Hot-off-the-press track at GECCO 2020). - Benjamin Doerr; Weijie Zheng 001 (GECCO Companion, 2020)

From understanding genetic drift to a smart-restart parameter-less compact genetic algorithm. - Benjamin Doerr; Weijie Zheng 001 (GECCO, 2020)

Efficient AES implementation on Sunway TaihuLight supercomputer: A systematic approach. - Liandeng Li; Jiarui Fang; Jinlei Jiang; Lin Gan; Weijie Zheng 001; Haohuan Fu; Guangwen Yang (J. Parallel Distributed Comput., 2020)

Working principles of binary differential evolution. - Benjamin Doerr; Weijie Zheng 001 (Theor. Comput. Sci., 2020)

Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms. - Benjamin Doerr; Weijie Zheng 001 (IEEE Trans. Evol. Comput., 2020)

Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives. - Benjamin Doerr; Weijie Zheng 001 (AAAI, 2021)

Analysis of evolutionary algorithms on fitness function with time-linkage property (hot-off-the-press track at GECCO 2021). - Weijie Zheng 001; Huanhuan Chen; Xin Yao 001 (GECCO Companion, 2021)

When non-elitism meets time-linkage problems. - Weijie Zheng 001; Qiaozhi Zhang; Huanhuan Chen; Xin Yao 001 (GECCO, 2021)

Theoretical analyses of multi-objective evolutionary algorithms on multi-modal objectives: (hot-off-the-press track at GECCO 2021). - Benjamin Doerr; Weijie Zheng 001 (GECCO Companion, 2021)

Analysis of Evolutionary Algorithms on Fitness Function With Time-Linkage Property. - Weijie Zheng 001; Huanhuan Chen; Xin Yao 001 (IEEE Trans. Evol. Comput., 2021)

A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II). - Weijie Zheng 001; Yufei Liu; Benjamin Doerr (AAAI, 2022)

Better approximation guarantees for the NSGA-II by using the current crowding distance. - Weijie Zheng 001; Benjamin Doerr (GECCO, 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 001; Yufei Liu; Benjamin Doerr (GECCO Companion, 2022)

Choosing the right algorithm with hints from complexity theory: (hot-off-the-press track at GECCO 2022). - Shouda Wang; Weijie Zheng 001; Benjamin Doerr (GECCO Companion, 2022)

Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Three or More Objectives. - Weijie Zheng 001; Benjamin Doerr (CoRR, 2022)

Theoretical Analyses of Evolutionary Algorithms on Time-Linkage OneMax with General Weights. - Weijie Zheng 001; Xin Yao 001 (CoRR, 2023)

Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives. - Weijie Zheng 001; Benjamin Doerr (Evol. Comput., 2023)

From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms. - Weijie Zheng 001; Benjamin Doerr (J. Mach. Learn. Res., 2023)

Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II). - Weijie Zheng 001; Benjamin Doerr (Artif. Intell., 2023)

Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. - Weijie Zheng 001; Benjamin Doerr (AAAI, 2024)

How to Use the Metropolis Algorithm for Multi-Objective Optimization? - Weijie Zheng 001; Mingfeng Li; Renzhong Deng; Benjamin Doerr (AAAI, 2024)

Hot off the Press: Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives. - Weijie Zheng 001; Benjamin Doerr (GECCO Companion, 2024)

Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. - Weijie Zheng 001; Benjamin Doerr (GECCO Companion, 2024)

Evolutionary Multiobjective Optimization (EMO). - Joshua D. Knowles; Weijie Zheng 001 (GECCO Companion, 2024)

LogGenius: An Unsupervised Log Parsing Framework with Zero-shot Prompt Engineering. - Xian Yu; Shengxi Nong; Dongbiao He; Weijie Zheng 001; Teng Ma 006; Ning Liu 014; Jianhui Li; Gaogang Xie (ICWS, 2024)

Runtime Analysis for State-of-the-Art Multi-objective Evolutionary Algorithms on the Subset Selection Problem. - Renzhong Deng; Weijie Zheng 001; Mingfeng Li; Jie Liu; Benjamin Doerr (PPSN (3), 2024)

When Does the Time-Linkage Property Help Optimization by Evolutionary Algorithms? - Mingfeng Li; Weijie Zheng 001; Wen Xie; Ao Sun; Xin Yao 001 (PPSN (3), 2024)

Overcome the Difficulties of NSGA-II via Truthful Crowding Distance with Theoretical Guarantees. - Weijie Zheng 001; Benjamin Doerr (CoRR, 2024)

Choosing the right algorithm with hints from complexity theory. - Shouda Wang; Weijie Zheng 001; Benjamin Doerr (Inf. Comput., 2024)

Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency for Many Objectives. - Weijie Zheng 001; Benjamin Doerr (IEEE Trans. Evol. Comput., 2024)

From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms (Journal Track). - Weijie Zheng 001; Benjamin Doerr (AAAI, 2025)

The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III). - Renzhong Deng; Weijie Zheng 001; Benjamin Doerr (CoRR, 2025)

Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy. - Mingfeng Li; Weijie Zheng 001; Benjamin Doerr (CoRR, 2025)

Approximation Guarantees for the Nondominated Sorting Genetic Algorithm II (NSGA-II). - Weijie Zheng 001; Benjamin Doerr (IEEE Trans. Evol. Comput., 2025)