Publications

Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin (2023). Evolutionary multiobjective optimization via efficient sampling-based offspring generation. Complex & Intelligent Systems.

Shihua Huang, Cheng He, Ran Cheng (2022). SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network. IEEE Transactions on Artificial Intelligence.

Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin (2022). A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Information Sciences.

Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo (2022). VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. Proceedings of the 39th International Conference on Machine Learning.

Lei Cao, Chun-ming Ye, Ran Cheng, Zhen-kun Wang (2022). Memory-based variable neighborhood search for green vehicle routing problem with passing-by drivers: a comprehensive perspective. Complex & Intelligent Systems.

Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao (2022). Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. Memetic Computing.

Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng (2022). Ternary Compression for Communication-Efficient Federated Learning. IEEE Transactions on Neural Networks and Learning Systems.

Cheng He, Ran Cheng, Danial Yazdani (2022). Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang (2022). Surrogate-assisted Multiobjective Neural Architecture Search for Real-time Semantic Segmentation. IEEE Transactions on Artificial Intelligence.

Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng (2022). RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. IEEE Transactions on Emerging Topics in Computational Intelligence.

Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann (2022). Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb (2022). Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Transactions on Evolutionary Computation.

Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin (2022). Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Transactions on Evolutionary Computation.

Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng (2022). Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games. IEEE Transactions on Games.

Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao (2022). Hybrid Attention-based Transformer Block Model for Distant Supervision Relation Extraction. Neurocomputing.

Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin (2022). Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Transactions on Cybernetics.

Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang (2021). Accelerating multi-objective neural architecture search by random-weight evaluation. Complex & Intelligent Systems.

Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo (2021). End-to-End Dense Video Captioning with Parallel Decoding. arXiv:2108.07781 [cs].

Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li (2021). Revisiting Self-Training for Few-Shot Learning of Language Model. arXiv:2110.01256 [cs].

Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin (2021). Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Computing Surveys.

Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He (2021). FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. arXiv:2108.07058 [cs].

Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao (2021). A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A. IEEE Transactions on Evolutionary Computation.

Cheng He, Hao Tan, Shihua Huang, Ran Cheng (2021). Efficient Evolutionary Neural Architecture Search by Modular Inheritable Crossover. Swarm and Evolutionary Computation.

Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan (2021). Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. 2021 IEEE Congress on Evolutionary Computation (CEC).

Jianqing Lin, Cheng He, Ran Cheng (2021). Adaptive Dropout for High-dimensional Expensive Multiobjective Optimization. Complex & Intelligent Systems.

Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin (2021). Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo (2021). RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. IEEE Transactions on Neural Networks and Learning Systems.

Cheng He, Ran Cheng (2021). Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. Evolutionary Multi-Criterion Optimization.

Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin (2021). Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Transactions on Evolutionary Computation.

Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao (2021). Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. Evolutionary Multi-Criterion Optimization.

Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu (2021). Multi-objective Neural Architecture Search with Almost No Training. Evolutionary Multi-Criterion Optimization.

Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan (2021). Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Transactions on Cybernetics.

Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan (2021). Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. Evolutionary Multi-Criterion Optimization.

Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin (2021). Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Transactions on Cybernetics.

Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao (2021). Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Transactions on Evolutionary Computation.

Jianqing Lin, Cheng He, Ran Cheng (2021). Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. Evolutionary Multi-Criterion Optimization.

Jing Wang, Runze Li, Cheng He, Haixin Chen, Ran Cheng, Chen Zhai, Miao Zhang (2021). An Inverse Design Method for Supercritical Airfoil Based on Conditional Generative Models. Chinese Journal of Aeronautics.

Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng (2021). Adaptive Simulated Binary Crossover for Rotated Multi-objective Optimization. Swarm and Evolutionary Computation.

Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao (2021). A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B. IEEE Transactions on Evolutionary Computation.

Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng (2021). A Parallel Multi-objective Evolutionary Algorithm for Community Detection in Large-scale Complex Networks. Information Sciences.

Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang (2021). A Multi-stage Evolutionary Algorithm for Multi-objective Optimization with Complex Constraints. Information Sciences.

Yanguo Kong, Xiangyi Kong, Cheng He, Changsong Liu, Liting Wang, Lijuan Su, Jun Gao, Qi Guo, Ran Cheng (2020). Constructing an Automatic Diagnosis and Severity-classification Model for Acromegaly using Facial Photographs by Deep Learning. Journal of Hematology & Oncology.

Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin (2020). Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. 2020 IEEE Congress on Evolutionary Computation (CEC).

Huangke Chen, Ran Cheng, Jinming Wen, Haifeng Li, Jian Weng (2020). Solving Large-scale Many-objective Optimization Problems by Covariance Matrix Adaptation Evolution Strategy with Scalable Small Subpopulations. Information Sciences.

Zhanglu Hou, Cheng He, Ran Cheng (2020). Reformulating Preferences into Constraints for Evolutionary Multi- and Many-objective Optimization. Information Sciences.

Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang (2020). Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. 2020 IEEE Congress on Evolutionary Computation (CEC).

Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin (2020). Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Transactions on Cybernetics.

Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qin Chen, Xin Yao (2020). Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. IEEE Transactions on Evolutionary Computation.

Yiming Chen, Tianci Pan, Cheng He, Ran Cheng (2020). Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation. Bio-inspired Computing: Theories and Applications.

Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao (2020). Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Transactions on Cybernetics.

Danial Yazdani, Ran Cheng, Cheng He, Jürgen Branke (2020). Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization. IEEE Transactions on Cybernetics.

Cheng He, Ran Cheng, Yaochu Jin, Xin Yao (2019). Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. 2019 IEEE Congress on Evolutionary Computation (CEC).

Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao (2019). Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Transactions on Evolutionary Computation.

Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin (2019). Particle Swarm Optimization for Network-Based Data Classification. Neural Networks.

Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin (2019). Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. IEEE Computational Intelligence Magazine.

Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao (2019). Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Transactions on Evolutionary Computation.

Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin (2019). A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Transactions on Evolutionary Computation.

Ye Tian, Cheng He, Ran Cheng, Xingyi Zhang (2019). A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi (2019). A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. 2019 IEEE Congress on Evolutionary Computation (CEC).

Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin (2018). Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. 2018 IEEE Congress on Evolutionary Computation (CEC).

Ran Cheng, Cheng He, Yaochu Jin, Xin Yao (2018). Model-based Evolutionary Algorithms: a Short Survey. Complex & Intelligent Systems.

Shenkai Gu, Ran Cheng, Yaochu Jin (2018). Feature Selection for High-dimensional Classification Using a Competitive Swarm Optimizer. Soft Computing.

Ran Cheng, Miqing Li, Ke Li, Xin Yao (2018). Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. IEEE Transactions on Evolutionary Computation.

Xia Zhang, Bei Ding, Ran Cheng, Sebastian C. Dixon, Yao Lu (2018). Computational Intelligence-Assisted Understanding of Nature-Inspired Superhydrophobic Behavior. Advanced Science.

Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin (2018). An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Transactions on Evolutionary Computation.

Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin (2018). A two-stage R2 indicator Based Evolutionary Algorithm for Many-objective Optimization. Applied Soft Computing.

Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin (2018). A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Transactions on Evolutionary Computation.

Xingyi Zhang, Xiutao Zheng, Ran Cheng, Jianfeng Qiu, Yaochu Jin (2018). A Competitive Mechanism Based Multi-objective Particle Swarm Optimizer with Fast Convergence. Information Sciences.

Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff (2017). Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Transactions on Cybernetics.

Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng (2017). Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation.

Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin (2017). PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Computational Intelligence Magazine.

Ran Cheng, Miqing Li, Xin Yao (2017). Parallel Peaks: A Visualization Method for Benchmark Studies of Multimodal Optimization. 2017 IEEE Congress on Evolutionary Computation (CEC).

Murillo G. Carneiro, Thiago H. Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao (2017). Nature-Inspired Graph Optimization for Dimensionality Reduction. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin (2017). Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Transactions on Emerging Topics in Computational Intelligence.

Chengzhi Wang, Jinliang Ding, Ran Cheng, Changxin Liu, Tianyou Chai (2017). Data-Driven Surrogate-Assisted Multi-Objective Optimization of Complex Beneficiation Operational Process. IFAC-PapersOnLine.

Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao (2017). Adjusting Parallel Coordinates for Investigating Multi-objective Search. Simulated Evolution and Learning.

Ran Cheng, Miqing Li, Xin Yao (2017). A Visualization Method for Benchmark Studies of Multimodal Optimization.

Ran Cheng, Miqing Li, Ye Tian, Xingyi Zhang, Shengxiang Yang, Yaochu Jin, Xin Yao (2017). A Benchmark Test Suite for Evolutionary Many-objective Optimization.

Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin (2016). Network Structural Optimization Based on Swarm Intelligence for Highlevel Classification. 2016 International Joint Conference on Neural Networks (IJCNN).

Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin (2016). Empirical Analysis of a Tree-based Efficient Non-dominated Sorting Approach for Many-objective Optimization. 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff (2016). A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Transactions on Evolutionary Computation.

Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin (2016). A Multi-objective Evolutionary Algorithm Based on an Enhanced Inverted Generational Distance Metric. 2016 IEEE Congress on Evolutionary Computation (CEC).

Ran Cheng, Markus Olhofer, Yaochu Jin (2015). Reference Vector Based a posteriori Preference Articulation for Evolutionary Multiobjective Optimization. 2015 IEEE Congress on Evolutionary Computation (CEC).

Shenkai Gu, Ran Cheng, Yaochu Jin (2015). Multi-objective Ensemble Generation. WIREs Data Mining and Knowledge Discovery.

Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin (2015). An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization. IEEE Transactions on Evolutionary Computation.

Ran Cheng, Yaochu Jin, Kaname Narukawa (2015). Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. Evolutionary Multi-Criterion Optimization.

Ran Cheng, Yaochu Jin (2015). A Social Learning Particle Swarm Optimization Algorithm for Scalable Optimization. Information Sciences.

Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff (2015). A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Transactions on Evolutionary Computation.

Ran Cheng, Yaochu Jin (2015). A Competitive Swarm Optimizer for Large Scale Optimization. IEEE Transactions on Cybernetics.

Ran Cheng, Yaochu Jin (2014). Demonstrator Selection in a Social Learning Particle Swarm Optimizer. 2014 IEEE Congress on Evolutionary Computation (CEC).

Ran Cheng, Yaochu Jin (2013). Simulating Swarm Behaviuors for Optimisation by Learning from Neighbours. 2013 13th UK Workshop on Computational Intelligence (UKCI).

Ran Cheng, Chaoli Sun, Yaochu Jin (2013). A Multi-swarm Evolutionary Framework based on a Feedback Mechanism. 2013 IEEE Congress on Evolutionary Computation.

Ran Cheng, Min Yao, Xiaowei Xue, Bin Shen (2012). Bisexual Evolution: A Novel Bisexual Evolutionary Framework Based on the Fisher's Runaway Process. 2012 IEEE Congress on Evolutionary Computation.