A Modified Particle Swarm Optimizer with a Novel Operator. - Ran Cheng 004; Min Yao (AICI (2), 2010)

Semantic Image Retrieval Based on Multiple-Instance Learning. - Min Yao; Wensheng Yi; Rong Zhu; Ran Cheng 004 (ICDM Workshops, 2010)

Bisexual evolution: A novel bisexual evolutionary framework based on the Fisher's runaway process. - Ran Cheng 004; Min Yao; Xiaowei Xue; Bin Shen 001 (IEEE Congress on Evolutionary Computation, 2012)

A multi-swarm evolutionary framework based on a feedback mechanism. - Ran Cheng 004; Chaoli Sun; Yaochu Jin (IEEE Congress on Evolutionary Computation, 2013)

Simulating swarm behaviuors for optimisation by learning from neighbours. - Ran Cheng 004; Yaochu Jin (UKCI, 2013)

Demonstrator selection in a social learning particle swarm optimizer. - Ran Cheng 004; Yaochu Jin (IEEE Congress on Evolutionary Computation, 2014)

Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. - Ran Cheng 004; Markus Olhofer; Yaochu Jin (CEC, 2015)

Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. - Ran Cheng 004; Yaochu Jin; Kaname Narukawa (EMO (1), 2015)

A social learning particle swarm optimization algorithm for scalable optimization. - Ran Cheng 004; Yaochu Jin (Inf. Sci., 2015)

A Competitive Swarm Optimizer for Large Scale Optimization. - Ran Cheng 004; Yaochu Jin (IEEE Trans. Cybern., 2015)

A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. - Ran Cheng 004; Yaochu Jin; Kaname Narukawa; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2015)

An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization. - Xingyi Zhang 001; Ye Tian 009; Ran Cheng 004; Yaochu Jin (IEEE Trans. Evol. Comput., 2015)

Multi-objective ensemble generation. - Shenkai Gu; Ran Cheng 004; Yaochu Jin (WIREs Data Mining Knowl. Discov., 2015)

A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. - Ye Tian 009; Xingyi Zhang 001; Ran Cheng 004; Yaochu Jin (CEC, 2016)

Network structural optimization based on swarm intelligence for highlevel classification. - Murillo G. Carneiro; Liang Zhao 001; Ran Cheng 004; Yaochu Jin (IJCNN, 2016)

Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. - Xingyi Zhang 001; Ye Tian 009; Ran Cheng 004; Yaochu Jin (SSCI, 2016)

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. - Ran Cheng 004; Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2016)

Parallel peaks: A visualization method for benchmark studies of multimodal optimization. - Ran Cheng 004; Miqing Li; Xin Yao 001 (CEC, 2017)

Nature-Inspired Graph Optimization for Dimensionality Reduction. - Murillo G. Carneiro; Thiago Henrique Cupertino; Ran Cheng 004; Yaochu Jin; Liang Zhao 001 (ICTAI, 2017)

Adjusting Parallel Coordinates for Investigating Multi-objective Search. - Liangli Zhen; Miqing Li; Ran Cheng 004; Dezhong Peng; Xin Yao 001 (SEAL, 2017)

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. - Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001; Yaochu Jin (IEEE Comput. Intell. Mag., 2017)

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization. - Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001; Yaochu Jin (CoRR, 2017)

Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. - Ran Cheng 004; Yaochu Jin; Markus Olhofer; Bernhard Sendhoff (IEEE Trans. Cybern., 2017)

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. - Chaoli Sun; Yaochu Jin; Ran Cheng 004; Jinliang Ding; Jianchao Zeng 001 (IEEE Trans. Evol. Comput., 2017)

Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. - Ran Cheng 004; Tobias Rodemann; Michael Fischer 003; Markus Olhofer; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. - Ye Tian 009; Xiaoshu Xiang; Xingyi Zhang 001; Ran Cheng 004; Yaochu Jin (CEC, 2018)

A two-stage R2 indicator based evolutionary algorithm for many-objective optimization. - Fei Li 019; Ran Cheng 004; Jianchang Liu; Yaochu Jin (Appl. Soft Comput., 2018)

Multiobjective Test Problems with Degenerate Pareto Fronts. - Liangli Zhen; Miqing Li; Ran Cheng 004; Dezhong Peng; Xin Yao 001 (CoRR, 2018)

A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. - Xingyi Zhang 001; Xiutao Zheng; Ran Cheng 004; Jianfeng Qiu; Yaochu Jin (Inf. Sci., 2018)

Feature selection for high-dimensional classification using a competitive swarm optimizer. - Shenkai Gu; Ran Cheng 004; Yaochu Jin (Soft Comput., 2018)

Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. - Ran Cheng 004; Miqing Li; Ke Li 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. - Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001; Fan Cheng 001; Yaochu Jin (IEEE Trans. Evol. Comput., 2018)

A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. - Xingyi Zhang 001; Ye Tian 009; Ran Cheng 004; Yaochu Jin (IEEE Trans. Evol. Comput., 2018)

Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation. - Yiming Chen; Tianci Pan; Cheng He 001; Ran Cheng 004 (BIC-TA (2), 2019)

Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover. - Hao Tan 003; Cheng He 001; Dexuan Tang; Ran Cheng 004 (BIC-TA (1), 2019)

Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. - Cheng He 001; Ran Cheng 004; Yaochu Jin; Xin Yao 001 (CEC, 2019)

A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. - Kanzhen Wan; Cheng He 001; Auraham Camacho; Ke Shang; Ran Cheng 004; Hisao Ishibuchi (CEC, 2019)

Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. - Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001; Miqing Li; Yaochu Jin (IEEE Comput. Intell. Mag., 2019)

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). - Cheng He 001; Shihua Huang; Ran Cheng 004; Kay Chen Tan; Yaochu Jin (CoRR, 2019)

Particle swarm optimization for network-based data classification. - Murillo G. Carneiro; Ran Cheng 004; Liang Zhao 001; Yaochu Jin (Neural Networks, 2019)

Solving Incremental Optimization Problems via Cooperative Coevolution. - Ran Cheng 004; Mohammad Nabi Omidvar; Amir H. Gandomi; Bernhard Sendhoff; Stefan Menzel; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. - Cheng He 001; Lianghao Li; Ye Tian 009; Xingyi Zhang 001; Ran Cheng 004; Yaochu Jin; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. - Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001; Yansen Su; Yaochu Jin (IEEE Trans. Evol. Comput., 2019)

Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. - Cheng He 001; Ran Cheng 004; Ye Tian 009; Xingyi Zhang 001 (CEC, 2020)

Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. - Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001; Yaochu Jin (CEC, 2020)

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. - Haoyu Zhang; Yaochu Jin; Ran Cheng 004; Kuangrong Hao (CoRR, 2020)

Multimodal Image-to-Image Translation via a Single Generative Adversarial Network. - Shihua Huang; Cheng He 001; Ran Cheng 004 (CoRR, 2020)

Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations. - Huangke Chen; Ran Cheng 004; Jinming Wen; Haifeng Li 007; Jian Weng 001 (Inf. Sci., 2020)

Reformulating preferences into constraints for evolutionary multi- and many-objective optimization. - Zhanglu Hou; Cheng He 001; Ran Cheng 004 (Inf. Sci., 2020)

Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. - Ye Tian 009; Xingyi Zhang 001; Ran Cheng 004; Cheng He 001; Yaochu Jin (IEEE Trans. Cybern., 2020)

Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. - Cheng He 001; Ran Cheng 004; Chuanji Zhang; Ye Tian 009; Qing Chen 004; Xin Yao 001 (IEEE Trans. Evol. Comput., 2020)

Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. - Lianghao Li; Cheng He 001; Ran Cheng 004; Linqiang Pan (CEC, 2021)

Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. - Cheng He 001; Ran Cheng 004 (EMO, 2021)

Multi-objective Neural Architecture Search with Almost No Training. - Shengran Hu; Ran Cheng 004; Cheng He 001; Zhichao Lu (EMO, 2021)

Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. - Changwu Huang; Lianghao Li; Cheng He 001; Ran Cheng 004; Xin Yao 001 (EMO, 2021)

Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. - Lianghao Li; Cheng He 001; Ran Cheng 004; Linqiang Pan (EMO, 2021)

Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. - Jianqing Lin; Cheng He 001; Ran Cheng 004 (EMO, 2021)

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. - Shihua Huang; Zhichao Lu; Ran Cheng 004; Cheng He 001 (ICCV, 2021)

End-to-End Dense Video Captioning with Parallel Decoding. - Teng Wang; Ruimao Zhang; Zhichao Lu; Feng Zheng; Ran Cheng 004; Ping Luo 002 (ICCV, 2021)

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. - Shengran Hu; Ran Cheng 004; Cheng He 001; Zhichao Lu; Jing Wang; Miao Zhang (CoRR, 2021)

A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. - Haiping Ma; Haoyu Wei; Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001 (Inf. Sci., 2021)

A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks. - Yansen Su; Kefei Zhou; Xingyi Zhang 001; Ran Cheng 004; Chunhou Zheng 001 (Inf. Sci., 2021)

Efficient evolutionary neural architecture search by modular inheritable crossover. - Cheng He 001; Hao Tan 003; Shihua Huang; Ran Cheng 004 (Swarm Evol. Comput., 2021)

Adaptive simulated binary crossover for rotated multi-objective optimization. - Linqiang Pan; Wenting Xu; Lianghao Li; Cheng He 001; Ran Cheng 004 (Swarm Evol. Comput., 2021)

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). - Cheng He 001; Shihua Huang; Ran Cheng 004; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cybern., 2021)

Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. - Linqiang Pan; Lianghao Li; Ran Cheng 004; Cheng He 001; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. - Cheng He 001; Ran Cheng 004; Ye Tian 009; Xingyi Zhang 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Evol. Comput., 2021)

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. - Danial Yazdani; Ran Cheng 004; Donya Yazdani; Jürgen Branke; Yaochu Jin; Xin Yao 001 (IEEE Trans. Evol. Comput., 2021)

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. - Danial Yazdani; Ran Cheng 004; Donya Yazdani; Jürgen Branke; Yaochu Jin; Xin Yao 001 (IEEE Trans. Evol. Comput., 2021)

Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. - Haoyu Zhang; Yaochu Jin; Ran Cheng 004; Kuangrong Hao (IEEE Trans. Evol. Comput., 2021)

Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. - Huangke Chen; Ran Cheng 004; Witold Pedrycz; Yaochu Jin (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization. - Ye Tian 009; Cheng He 001; Ran Cheng 004; Xingyi Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. - Teng Wang; Wenhao Jiang; Zhichao Lu; Feng Zheng; Ran Cheng 004; Chengguo Yin; Ping Luo 002 (ICML, 2022)

Semantic-Aware Pretraining for Dense Video Captioning. - Teng Wang; Zhu Liu 005; Feng Zheng; Zhichao Lu; Ran Cheng 004; Ping Luo 002 (CoRR, 2022)

Exploiting Context Information for Generic Event Boundary Captioning. - Jinrui Zhang; Teng Wang; Feng Zheng; Ran Cheng 004; Ping Luo 002 (CoRR, 2022)

Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation. - Zhichao Lu; Ran Cheng 004; Shihua Huang; Haoming Zhang; Changxiao Qiu; Fan Yang 054 (CoRR, 2022)

Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games. - Hui Bai; Ruimin Shen; Yue Lin 002; Botian Xu; Ran Cheng 004 (CoRR, 2022)

Evolutionary Large-Scale Multi-Objective Optimization: A Survey. - Ye Tian 009; Langchun Si; Xingyi Zhang 001; Ran Cheng 004; Cheng He 001; Kay Chen Tan; Yaochu Jin (ACM Comput. Surv., 2022)

Hybrid attention-based transformer block model for distant supervision relation extraction. - Yan Xiao; Yaochu Jin; Ran Cheng 004; Kuangrong Hao (Neurocomputing, 2022)

A benchmark generator for online dynamic single-objective and multi-objective optimization problems. - Xiaoshu Xiang; Ye Tian 009; Ran Cheng 004; Xingyi Zhang 001; Shengxiang Yang; Yaochu Jin (Inf. Sci., 2022)

Thematic issue on knowledge and data driven evolutionary multi-objective optimization. - Ran Cheng 004; Jinliang Ding; Wenli Du; Yaochu Jin (Memetic Comput., 2022)

Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. - Changwu Huang; Lianghao Li; Cheng He 001; Ran Cheng 004; Xin Yao 001 (Memetic Comput., 2022)

A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization. - Lianghao Li; Cheng He 001; Ran Cheng 004; Hongbin Li; Linqiang Pan; Yaochu Jin (Swarm Evol. Comput., 2022)

SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network. - Shihua Huang; Cheng He 001; Ran Cheng 004 (IEEE Trans. Artif. Intell., 2022)

Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization. - Danial Yazdani; Ran Cheng 004; Cheng He 001; Jürgen Branke (IEEE Trans. Cybern., 2022)

Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. - Danial Yazdani; Mohammad Nabi Omidvar; Ran Cheng 004; Jürgen Branke; Trung Thanh Nguyen 002; Xin Yao 001 (IEEE Trans. Cybern., 2022)

Ternary Compression for Communication-Efficient Federated Learning. - Jinjin Xu; Wenli Du; Yaochu Jin; Wangli He; Ran Cheng 004 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization. - Cheng He 001; Ran Cheng 004; Danial Yazdani (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. - Qiqi Liu; Ran Cheng 004; Yaochu Jin; Martin Heiderich; Tobias Rodemann (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. - Chuntao Ding; Zhichao Lu; Shangguang Wang; Ran Cheng 004; Vishnu Naresh Boddeti (CVPR, 2023)

Accelerating Vision-Language Pretraining with Free Language Modeling. - Teng Wang; Yixiao Ge; Feng Zheng; Ran Cheng 004; Ying Shan; Xiaohu Qie; Ping Luo 002 (CVPR, 2023)

Rethinking Population-assisted Off-policy Reinforcement Learning. - Bowen Zheng; Ran Cheng 004 (GECCO, 2023)

Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. - Zhichao Lu; Chuntao Ding; Shangguang Wang; Ran Cheng 004; Felix Juefei-Xu; Vishnu Naresh Boddeti (ICWS, 2023)

EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. - Beichen Huang; Ran Cheng 004; Yaochu Jin; Kay Chen Tan (CoRR, 2023)

Evolutionary Reinforcement Learning: A Survey. - Hui Bai; Ran Cheng 004; Yaochu Jin (CoRR, 2023)

Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. - Jia Liu; Ran Cheng 004; Yaochu Jin (Neurocomputing, 2023)

Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. - Xingyi Zhang 001; Ran Cheng 004; Yaochu Jin; Bernhard Sendhoff (IEEE Trans. Evol. Comput., 2023)

RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. - Hao Tan 003; Ran Cheng 004; Shihua Huang; Cheng He 001; Changxiao Qiu; Fan Yang 054; Ping Luo 002 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. - Xingyi Zhang 001; Ran Cheng 004; Liang Feng 001; Yaochu Jin (IEEE Comput. Intell. Mag., 2023)

RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. - Zhongju Yuan; Genghui Li; Zhenkun Wang 001; Jianyong Sun; Ran Cheng 004 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. - Hui Bai; Ran Cheng 004; Danial Yazdani; Kay Chen Tan; Yaochu Jin (IEEE Trans. Cybern., 2023)

Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation. - Zhichao Lu; Ran Cheng 004; Shihua Huang; Haoming Zhang; Changxiao Qiu; Fan Yang 054 (IEEE Trans. Artif. Intell., 2023)

GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. - Zhenyu Liang; Tao Jiang; Kebin Sun; Ran Cheng 004 (GECCO, 2024)

Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration. - Lishuang Wang; Mengfei Zhao; Enyu Liu; Kebin Sun; Ran Cheng 004 (GECCO, 2024)

Tensorized Ant Colony Optimization for GPU Acceleration. - Luming Yang; Tao Jiang; Ran Cheng 004 (GECCO Companion, 2024)

A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. - Yifan Zhao; Zhenyu Liang; Zhichao Lu; Ran Cheng 004 (GECCO Companion, 2024)

Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. - Yanchen Li; Jiachun Li; Kebin Sun; Luziwei Leng; Ran Cheng 004 (ICANN (4), 2024)

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. - Beichen Huang; Xingyu Wu; Yu Zhou; Jibin Wu; Liang Feng 001; Ran Cheng 004; Kay Chen Tan (CoRR, 2024)

Competitive Swarm Optimizer: A decade survey. - Dikshit Chauhan; Shivani; Ran Cheng 004 (Swarm Evol. Comput., 2024)

A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-Objective Optimization. - Yansong Huang; Zherui Zhang; Ao Jiao; Yuxin Ma; Ran Cheng 004 (IEEE Trans. Vis. Comput. Graph., 2024)

Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. - Cheng He 001; Ran Cheng 004; Lianghao Li; Kay Chen Tan; Yaochu Jin (IEEE Trans. Evol. Comput., 2024)

Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games. - Hui Bai; Ruimin Shen; Yue Lin 002; Botian Xu; Ran Cheng 004 (IEEE Trans. Games, 2024)

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. - Zhichao Lu; Ran Cheng 004; Yaochu Jin; Kay Chen Tan; Kalyanmoy Deb (IEEE Trans. Evol. Comput., 2024)

Guest Editorial: AutoML for Nonstationary Data. - Ran Cheng 004; Hugo Jair Escalante; Wei-Wei Tu; Jan N. van Rijn; Shuo Wang 005; Yun Yang 003 (IEEE Trans. Artif. Intell., 2024)

Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning. - Hui Bai; Ran Cheng 004 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. - Haofeng Wu; Yaochu Jin; Kailai Gao; Jinliang Ding; Ran Cheng 004 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables. - Xiangyu Wang 013; Ran Cheng 004; Yaochu Jin (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Automotive Object Detection via Learning Sparse Events by Spiking Neurons. - Hu Zhang; Yanchen Li; Luziwei Leng; Kaiwei Che; Qian Liu; Qinghai Guo; Jianxing Liao; Ran Cheng 004 (IEEE Trans. Cogn. Dev. Syst., 2024)

Multi-phase constrained multi-objective optimization via heterogeneous transfer. - Huiting Li; Yaochu Jin; Ran Cheng 004 (Inf. Sci., 2025)

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms. - Yuxin Ma; Zherui Zhang; Ran Cheng 004; Yaochu Jin; Kay Chen Tan (CoRR, 2025)

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning. - Bowen Zheng; Ran Cheng 004; Kay Chen Tan (CoRR, 2025)

ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics. - Zherui Zhang; Fan Yang 054; Ran Cheng 004; Yuxin Ma (IEEE Trans. Vis. Comput. Graph., 2025)

ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. - Yuxin Ma; Zherui Zhang; Ran Cheng 004; Yaochu Jin; Kay Chen Tan (IEEE Comput. Intell. Mag., 2025)

Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. - Boyan Li; Luziwei Leng; Shuaijie Shen; Kaixuan Zhang; Jianguo Zhang 001; Jianxing Liao; Ran Cheng 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Diversity-Aware Policy Optimization for Large Language Model Reasoning. - Jian Yao; Ran Cheng 004; Xingyu Wu; Jibin Wu; Kay Chen Tan (CoRR, 2025)

Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. - Rui Zhang; Luziwei Leng; Kaiwei Che; Hu Zhang; Jie Cheng; Qinghai Guo; Jianxing Liao; Ran Cheng 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration. - Beichen Huang; Ran Cheng 004; Kay Chen Tan (CoRR, 2025)

VAR-MATH: Probing True Mathematical Reasoning in Large Language Models via Symbolic Multi-Instance Benchmarks. - Jian Yao; Ran Cheng 004; Kay Chen Tan (CoRR, 2025)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning. - Kebin Sun; Tao Jiang; Ran Cheng 004; Yaochu Jin; Kay Chen Tan (CoRR, 2025)

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving. - Yisong Zhang; Ran Cheng 004; Guoxing Yi; Kay Chen Tan (CoRR, 2025)