Cheng He

71 papers A* 1B 10C 6Journal 48Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Artificial evolutionary intelligence (AEI): evolutionary computation evolves with large language models.
J. Membr. Comput.
Cheng He, Ye Tian, Zhichao Lu
2025 J jnl
Computationally Expensive High-Dimensional Multiobjective Optimization via Surrogate-Assisted Reformulation and Decomposition.
IEEE Trans. Evol. Comput.
Linqiang Pan, Jianqing Lin, Handing Wang, Cheng He, Kay Chen Tan, Yaochu Jin
2025 B conf
Evolutionary Asynchronous Optimization-A Novel Optimization Paradigm for Non-contact Voltage Measurement.
CEC
Ye Tian, Cheng He, Endi Cao, Yonglin He, Xingyi Zhang
2025 J jnl
Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey.
ACM Comput. Surv.
Shuai Shao, Ye Tian, Yajie Zhang, Shangshang Yang, Panpan Zhang, Cheng He, Xingyi Zhang, Yaochu Jin
2025 B conf
Performance Study of Surrogate-Assisted Large-Scale Multiobjective Evolutionary Algorithms on GLSMOP Test Suite.
CEC
Haoran Gu, Cheng He, Handing Wang
2025 B conf
Surrogate Models are not Necessary for Black-Box Expensive Optimization.
CEC
Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He
2025 J jnl
Surrogate-Assisted Multiobjective Gene Selection for Cell Classification From Large-Scale Single-Cell RNA Sequencing Data.
IEEE Trans. Evol. Comput.
Jianqing Lin, Cheng He, Hanjing Jiang, Yabing Huang, Yaochu Jin
2025 J jnl
Variable Reconstruction for Evolutionary Expensive Large-Scale Multiobjective Optimization and Its Application on Aerodynamic Design.
IEEE CAA J. Autom. Sinica
Jianqing Lin, Cheng He, Ye Tian, Linqiang Pan
2024 J jnl
A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement.
IEEE Trans. Emerg. Top. Comput. Intell.
Hongbin Li, Chaojun Ma, Chuanji Zhang, Qing Chen, Cheng He, Yaochu Jin
2024 B conf
Balancing Convergence and Diversity in Meta-Heuristics for Calibration of Instrument Transformers.
CEC
Zihan Gao, Cheng He, Chuanji Zhang, Hongbin Li
2024 J jnl
Clustering-based genetic offspring generation for solving multi-objective optimization problems with intricate Pareto sets.
Appl. Soft Comput.
Lianghao Li, Jianqing Lin, Cheng He, Linqiang Pan
2024 J jnl
Knowledge-assisted differential evolution based non-contact voltage measurement for multiconductor systems in smart grid.
Adv. Eng. Informatics
Hongbin Li, Chaojun Ma, Qing Chen, Yang Jiao, Cheng He
2024 J jnl
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis.
IEEE Trans. Evol. Comput.
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
2024 B conf
Reference Vector Guided Variables Selection for Expensive Large-Scale Multiobjective Optimization.
CEC
Jianqing Lin, Cheng He, Xueming Liu, Linqiang Pan
2024 J jnl
Supervised Reconstruction for High-Dimensional Expensive Multiobjective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Hongbin Li, Jianqing Lin, Qing Chen, Cheng He, Linqiang Pan
2023 J jnl
A pairwise comparison based surrogate-assisted evolutionary algorithm for expensive multi-objective optimization.
Swarm Evol. Comput.
Ye Tian, Jiaxing Hu, Cheng He, Haiping Ma, Limiao Zhang, Xingyi Zhang
2023 J jnl
Accelerating multi-objective neural architecture search by random-weight evaluation.
Complex Intell. Syst.
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang
2023 J jnl
Evolutionary multiobjective optimization via efficient sampling-based offspring generation.
Complex Intell. Syst.
Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin
2023 J jnl
Guest editorial for special issue "Emerging topics in evolutionary multiobjective optimization".
Complex Intell. Syst.
Cheng He, Dunwei Gong, Kay Chen Tan
2023 — conf
Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization.
SSCI
Cheng He, Hongbin Li, Jianqing Lin, Zhichao Lu
2023 C conf
Magnetic Sensor Array-Based Contactless Current Measurement for Multiconductor Systems Using Knowledge-Assisted Evolutionary Algorithm.
IAS
Chaojun Ma, Yingying Xu, Qing Chen, Yang Jiao, Zeming Qu, Cheng He
2023 J jnl
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning.
IEEE Trans. Neural Networks Learn. Syst.
Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
2022 — conf
A Comparison of Large-Scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation.
BIC-TA
Lianghao Li, Cheng He, Hongbin Li
2022 J jnl
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2022 J jnl
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization.
Swarm Evol. Comput.
Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin
2022 J jnl
Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization.
IEEE Trans. Cybern.
Danial Yazdani, Ran Cheng, Cheng He, Jürgen Branke
2022 J jnl
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Cheng He, Ran Cheng, Danial Yazdani
2022 J jnl
Adaptive dropout for high-dimensional expensive multiobjective optimization.
Complex Intell. Syst.
Jianqing Lin, Cheng He, Ran Cheng
2022 J jnl
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation.
Memetic Comput.
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
2022 J jnl
Evolutionary Large-Scale Multi-Objective Optimization: A Survey.
ACM Comput. Surv.
Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin
2022 J jnl
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network.
IEEE Trans. Artif. Intell.
Shihua Huang, Cheng He, Ran Cheng
2021 J jnl
A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Zhenshou Song, Handing Wang, Cheng He, Yaochu Jin
2021 J jnl
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Ye Tian, Cheng He, Ran Cheng, Xingyi Zhang
2021 J jnl
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation.
CoRR
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang
2021 J jnl
Adaptive simulated binary crossover for rotated multi-objective optimization.
Swarm Evol. Comput.
Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng
2021 C conf
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization.
EMO
Jianqing Lin, Cheng He, Ran Cheng
2021 J jnl
Efficient evolutionary neural architecture search by modular inheritable crossover.
Swarm Evol. Comput.
Cheng He, Hao Tan, Shihua Huang, Ran Cheng
2021 J jnl
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs).
IEEE Trans. Cybern.
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
2021 A* conf
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction.
ICCV
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
2021 J jnl
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction.
CoRR
Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He
2021 B conf
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation.
CEC
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
2021 C conf
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization.
EMO
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
2021 J jnl
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets.
IEEE Trans. Cybern.
Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan
2021 C conf
Multi-objective Neural Architecture Search with Almost No Training.
EMO
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
2021 C conf
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation.
EMO
Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao
2021 J jnl
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin
2021 J jnl
Pioneer selection for evolutionary multiobjective optimization with discontinuous feasible region.
Swarm Evol. Comput.
Lianghao Li, Cheng He, Wenting Xu, Linqiang Pan
2021 C conf
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization.
EMO
Cheng He, Ran Cheng
2021 J jnl
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics.
CoRR
Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin
2020 J jnl
A Subregion Division-Based Evolutionary Algorithm With Effective Mating Selection for Many-Objective Optimization.
IEEE Trans. Cybern.
Linqiang Pan, Lianghao Li, Cheng He, Kay Chen Tan
2020 J jnl
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers.
IEEE Trans. Evol. Comput.
Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qing Chen, Xin Yao
2020 J jnl
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling.
IEEE Trans. Cybern.
Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin
2020 B conf
Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization.
CEC
Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang
2020 J jnl
Multi-objective Neural Architecture Search with Almost No Training.
CoRR
Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu
2020 J jnl
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network.
CoRR
Shihua Huang, Cheng He, Ran Cheng
2020 J jnl
Reformulating preferences into constraints for evolutionary multi- and many-objective optimization.
Inf. Sci.
Zhanglu Hou, Cheng He, Ran Cheng
2020 J jnl
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning.
CoRR
Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo
2019 J jnl
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin
2019 B conf
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
CEC
Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi
2019 J jnl
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation.
IEEE Trans. Evol. Comput.
Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao
2019 — conf
Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation.
BIC-TA (2)
Yiming Chen, Tianci Pan, Cheng He, Ran Cheng
2019 — conf
Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover.
BIC-TA (1)
Hao Tan, Cheng He, Dexuan Tang, Ran Cheng
2019 J jnl
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs).
CoRR
Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin
2019 B conf
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion.
CEC
Cheng He, Ran Cheng, Yaochu Jin, Xin Yao
2019 J jnl
Switching ripple suppressor design of the grid-connected inverters: A perspective of many-objective optimization with constraints handling.
Swarm Evol. Comput.
Zhixiong Zhang, Cheng He, Jie Ye, Jinbang Xu, Linqiang Pan
2018 J jnl
A tissue P system based evolutionary algorithm for multi-objective VRPTW.
Swarm Evol. Comput.
Wenbo Dong, Kang Zhou, Huaqing Qi, Cheng He, Jun Zhang
2017 J jnl
A radial space division based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput.
Cheng He, Ye Tian, Yaochu Jin, Xingyi Zhang, Linqiang Pan
2017 J jnl
A region division based diversity maintaining approach for many-objective optimization.
Integr. Comput. Aided Eng.
Linqiang Pan, Cheng He, Ye Tian, Yansen Su, Xingyi Zhang
2017 — ed.
Bio-inspired Computing: Theories and Applications - 12th International Conference, BIC-TA 2017, Harbin, China, December 1-3, 2017, Proceedings
BIC-TA
Cheng He, Hongwei Mo, Linqiang Pan, Yuxin Zhao
2016 — conf
A Multi-objective Optimization Algorithm Based on Tissue P System for VRPTW.
BIC-TA (2)
Wenbo Dong, Kang Zhou, Huaqing Qi, Cheng He, Jun Zhang, Bosheng Song
2016 B conf
An improved reference point sampling method on Pareto optimal front.
CEC
Cheng He, Linqiang Pan, Hang Xu, Ye Tian, Xingyi Zhang