Cheng He

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 56

Top Topics

Multiobjective Optimization

Evolutionary Algorithm

Computationally Expensive

Image Thresholding

Top Venues

Swarm Evol. Comput.

IEEE Trans. Evol. Comput.

Publications

Hongbin Li, Chaojun Ma, Chuanji Zhang, Qing Chen, Cheng He, Yaochu Jin
A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Hongbin Li, Chaojun Ma, Qing Chen, Yang Jiao, Cheng He
Knowledge-assisted differential evolution based non-contact voltage measurement for multiconductor systems in smart grid. Adv. Eng. Informatics 62 (2024)
Jianqing Lin, Cheng He, Xueming Liu, Linqiang Pan
Reference Vector Guided Variables Selection for Expensive Large-Scale Multiobjective Optimization. CEC (2024)
Lianghao Li, Jianqing Lin, Cheng He, Linqiang Pan
Clustering-based genetic offspring generation for solving multi-objective optimization problems with intricate Pareto sets. Appl. Soft Comput. 154 (2024)
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. 28 (1) (2024)
Hongbin Li, Jianqing Lin, Qing Chen, Cheng He, Linqiang Pan
Supervised Reconstruction for High-Dimensional Expensive Multiobjective Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Ye Tian, Jiaxing Hu, Cheng He, Haiping Ma, Limiao Zhang, Xingyi Zhang
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization. Swarm Evol. Comput. 80 (2023)
Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Cheng He, Hongbin Li, Jianqing Lin, Zhichao Lu
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization. SSCI (2023)
Lianghao Li, Cheng He, Hongbin Li
A Comparison of Large-Scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation. BIC-TA (2022)
Danial Yazdani, Ran Cheng, Cheng He, Jürgen Branke
Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization. IEEE Trans. Cybern. 52 (7) (2022)
Cheng He, Ran Cheng, Danial Yazdani
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52 (2) (2022)
Shihua Huang, Cheng He, Ran Cheng
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network. IEEE Trans. Artif. Intell. 3 (5) (2022)
Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization. Swarm Evol. Comput. 75 (2022)
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. Memetic Comput. 14 (2) (2022)
Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin
Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. 54 (8) (2022)
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
Multi-objective Neural Architecture Search with Almost No Training. EMO (2021)
Lianghao Li, Cheng He, Wenting Xu, Linqiang Pan
Pioneer selection for evolutionary multiobjective optimization with discontinuous feasible region. Swarm Evol. Comput. 65 (2021)
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. EMO (2021)
Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Trans. Cybern. 51 (6) (2021)
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Trans. Cybern. 51 (6) (2021)
Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics. CoRR (2021)
Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng
Adaptive simulated binary crossover for rotated multi-objective optimization. Swarm Evol. Comput. 60 (2021)
Zhenshou Song, Handing Wang, Cheng He, Yaochu Jin
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 25 (6) (2021)
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. CoRR (2021)
Ye Tian, Cheng He, Ran Cheng, Xingyi Zhang
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51 (9) (2021)
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 25 (3) (2021)
Jianqing Lin, Cheng He, Ran Cheng
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. EMO (2021)
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. CoRR (2021)
Cheng He, Ran Cheng
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. EMO (2021)
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. ICCV (2021)
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. EMO (2021)
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. CEC (2021)
Cheng He, Hao Tan, Shihua Huang, Ran Cheng
Efficient evolutionary neural architecture search by modular inheritable crossover. Swarm Evol. Comput. 64 (2021)
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
Multi-objective Neural Architecture Search with Almost No Training. CoRR (2020)
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang
Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. CEC (2020)
Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Trans. Cybern. 50 (3) (2020)
Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qin Chen, Xin Yao
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. IEEE Trans. Evol. Comput. 24 (5) (2020)
Shihua Huang, Cheng He, Ran Cheng
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network. CoRR (2020)
Linqiang Pan, Lianghao Li, Cheng He, Kay Chen Tan
A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization. IEEE Trans. Cybern. 50 (8) (2020)
Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. CoRR (2020)
Zhanglu Hou, Cheng He, Ran Cheng
Reformulating preferences into constraints for evolutionary multi- and many-objective optimization. Inf. Sci. 541 (2020)
Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. CEC (2019)
Zhixiong Zhang, Cheng He, Jie Ye, Jinbang Xu, Linqiang Pan
Switching ripple suppressor design of the grid-connected inverters: A perspective of many-objective optimization with constraints handling. Swarm Evol. Comput. 44 (2019)
Yiming Chen, Tianci Pan, Cheng He, Ran Cheng
Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation. BIC-TA (2) (2019)
Cheng He, Ran Cheng, Yaochu Jin, Xin Yao
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. CEC (2019)
Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23 (6) (2019)
Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. IEEE Trans. Evol. Comput. 23 (1) (2019)
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). CoRR (2019)
Hao Tan, Cheng He, Dexuan Tang, Ran Cheng
Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover. BIC-TA (1) (2019)
Wenbo Dong, Kang Zhou, Huaqing Qi, Cheng He, Jun Zhang
A tissue P system based evolutionary algorithm for multi-objective VRPTW. Swarm Evol. Comput. 39 (2018)
Linqiang Pan, Cheng He, Ye Tian, Yansen Su, Xingyi Zhang
A region division based diversity maintaining approach for many-objective optimization. Integr. Comput. Aided Eng. 24 (3) (2017)
Cheng He, Ye Tian, Yaochu Jin, Xingyi Zhang, Linqiang Pan
A radial space division based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 61 (2017)
Cheng He, Linqiang Pan, Hang Xu, Ye Tian, Xingyi Zhang
An improved reference point sampling method on Pareto optimal front. CEC (2016)
Wenbo Dong, Kang Zhou, Huaqing Qi, Cheng He, Jun Zhang, Bosheng Song
A Multi-objective Optimization Algorithm Based on Tissue P System for VRPTW. BIC-TA (2) (2016)