Ran Cheng - RankMe

166 papers A* 5A 4B 16C 6Journal 124Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization. IEEE Trans. Evol. Comput. Zhenyu Liang, Hao Li, Naiwei Yu, Kebin Sun, Ran Cheng
2026	J	`jnl`	Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search. CoRR Haoyu Zhang, Zhihao Yu, Rui Wang, Yaochu Jin, Qiqi Liu, Ran Cheng
2026	J	`jnl`	Hebbian Learning with Global Direction. CoRR Wenjia Hua, Kejie Zhao, Luziwei Leng, Ran Cheng, Yuxin Ma, Qinghai Guo
2026	J	`jnl`	MAR: Efficient Large Language Models via Module-aware Architecture Refinement. CoRR Junhong Cai, Guiqin Wang, Kejie Zhao, Jianxiong Tang, Xiang Wang, Luziwei Leng, Ran Cheng, Yuxin Ma, Qinghai Guo
2026	J	`jnl`	MetaDE: Evolving Differential Evolution by Differential Evolution. IEEE Trans. Evol. Comput. Minyang Chen, Chenchen Feng, Ran Cheng
2026	J	`jnl`	Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off? CoRR Xinmeng Yu, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2026	J	`jnl`	Unleashing the Potential of Differential Evolution through Individual-Level Strategy Diversity. CoRR Chenchen Feng, Minyang Chen, Zhuozhao Li, Ran Cheng
2025	J	`jnl`	A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving. CoRR Yisong Zhang, Ran Cheng, Guoxing Yi, Kay Chen Tan
2025	J	`jnl`	Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. IEEE Trans. Neural Networks Learn. Syst. Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jianxing Liao, Ran Cheng
2025	J	`jnl`	Diversity-Aware Policy Optimization for Large Language Model Reasoning. CoRR Jian Yao, Ran Cheng, Xingyu Wu, Jibin Wu, Kay Chen Tan
2025	J	`jnl`	Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. IEEE Trans. Neural Networks Learn. Syst. Boyan Li, Luziwei Leng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao, Ran Cheng
2025	J	`jnl`	Evaluation of Large Language Models as Solution Generators in Complex Optimization. IEEE Comput. Intell. Mag. Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming. CoRR Lishuang Wang, Zhihong Wu, Kebin Sun, Zhuozhao Li, Ran Cheng
2025	J	`jnl`	EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration. CoRR Beichen Huang, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning. CoRR Bowen Zheng, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation. IEEE Trans. Evol. Comput. Beichen Huang, Ran Cheng, Zhuozhao Li, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning. CoRR Kebin Sun, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	Exploring Neural Architecture Search Spaces via Visual Analytics [Application Notes]. IEEE Comput. Intell. Mag. Yansong Huang, Kebin Sun, Yuxin Ma, Ran Cheng
2025	B	`conf`	GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III. CEC Hao Li, Zhenyu Liang, Ran Cheng
2025	J	`jnl`	Learning to Evolve with Convergence Guarantee via Neural Unrolling. CoRR Jiaxin Gao, Yaohua Liu, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	Multi-phase constrained multi-objective optimization via heterogeneous transfer. Inf. Sci. Huiting Li, Yaochu Jin, Ran Cheng
2025	J	`jnl`	ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. IEEE Comput. Intell. Mag. Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms. CoRR Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2025	J	`jnl`	ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics. IEEE Trans. Vis. Comput. Graph. Zherui Zhang, Fan Yang, Ran Cheng, Yuxin Ma
2025	J	`jnl`	VAR-MATH: Probing True Mathematical Reasoning in Large Language Models via Symbolic Multi-Instance Benchmarks. CoRR Jian Yao, Ran Cheng, Kay Chen Tan
2024	J	`jnl`	A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-Objective Optimization. IEEE Trans. Vis. Comput. Graph. Yansong Huang, Zherui Zhang, Ao Jiao, Yuxin Ma, Ran Cheng
2024	—	`conf`	A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. GECCO Companion Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng
2024	J	`jnl`	A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. CoRR Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng
2024	J	`jnl`	Adaptive multi-stage evolutionary search for constrained multi-objective optimization. Complex Intell. Syst. Huiting Li, Yaochu Jin, Ran Cheng
2024	J	`jnl`	Automotive Object Detection via Learning Sparse Events by Spiking Neurons. IEEE Trans. Cogn. Dev. Syst. Hu Zhang, Yanchen Li, Luziwei Leng, Kaiwei Che, Qian Liu, Qinghai Guo, Jianxing Liao, Ran Cheng
2024	J	`jnl`	Competitive Swarm Optimizer: A decade survey. Swarm Evol. Comput. Dikshit Chauhan, Shivani, Ran Cheng
2024	J	`jnl`	Evolutionary generative design of supercritical airfoils: an automated approach driven by small data. Complex Intell. Syst. Kebin Sun, Weituo Wang, Ran Cheng, Yu Liang, Hairun Xie, Jing Wang, Miao Zhang
2024	J	`jnl`	Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2024	B	`conf`	FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search. IJCNN Haoming Zhang, Ran Cheng
2024	A	`conf`	GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. GECCO Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng
2024	J	`jnl`	Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. Hui Bai, Ran Cheng
2024	J	`jnl`	Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang
2024	J	`jnl`	Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games. IEEE Trans. Games Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng
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	J	`jnl`	Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2024	J	`jnl`	Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables. IEEE Trans. Syst. Man Cybern. Syst. Xiangyu Wang, Ran Cheng, Yaochu Jin
2024	J	`jnl`	Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. IEEE Trans. Emerg. Top. Comput. Intell. Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng
2024	—	`conf`	Tensorized Ant Colony Optimization for GPU Acceleration. GECCO Companion Luming Yang, Tao Jiang, Ran Cheng
2024	A	`conf`	Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration. GECCO Lishuang Wang, Mengfei Zhao, Enyu Liu, Kebin Sun, Ran Cheng
2024	—	`conf`	Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. ICANN (4) Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng
2023	A*	`conf`	Accelerating Vision-Language Pretraining with Free Language Modeling. CVPR Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo
2023	J	`jnl`	Accelerating Vision-Language Pretraining with Free Language Modeling. CoRR Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo
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`	Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. Neurocomputing Jia Liu, Ran Cheng, Yaochu Jin
2023	J	`jnl`	Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference. CoRR Boyan Li, Luziwei Leng, Ran Cheng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao
2023	J	`jnl`	EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan
2023	J	`jnl`	Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin
2023	J	`jnl`	Evolutionary Reinforcement Learning: A Survey. CoRR Hui Bai, Ran Cheng, Yaochu Jin
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 Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff
2023	J	`jnl`	Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos. CoRR Teng Wang, Jinrui Zhang, Feng Zheng, Wenhao Jiang, Ran Cheng, Ping Luo
2023	J	`jnl`	Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. IEEE Comput. Intell. Mag. Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin
2023	A*	`conf`	Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CVPR Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
2023	J	`jnl`	Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CoRR Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti
2023	J	`jnl`	RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. IEEE Trans. Emerg. Top. Comput. Intell. Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng
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
2023	A	`conf`	Rethinking Population-assisted Off-policy Reinforcement Learning. GECCO Bowen Zheng, Ran Cheng
2023	A	`conf`	Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. ICWS Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
2023	J	`jnl`	Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. CoRR Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti
2023	J	`jnl`	Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation. IEEE Trans. Artif. Intell. Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
2022	J	`jnl`	A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, 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`	Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Trans. Cybern. Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao
2022	J	`jnl`	Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures. CoRR Jia Liu, Ran Cheng, Yaochu Jin
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`	Exploiting Context Information for Generic Event Boundary Captioning. CoRR Jinrui Zhang, Teng Wang, Feng Zheng, Ran Cheng, Ping Luo
2022	J	`jnl`	Hybrid attention-based transformer block model for distant supervision relation extraction. Neurocomputing Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao
2022	J	`jnl`	Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games. CoRR Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng
2022	J	`jnl`	Memory-based variable neighborhood search for green vehicle routing problem with passing-by drivers: a comprehensive perspective. Complex Intell. Syst. Lei Cao, Chunming Ye, Ran Cheng, Zhenkun Wang
2022	J	`jnl`	Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb
2022	J	`jnl`	Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann
2022	J	`jnl`	Semantic-Aware Pretraining for Dense Video Captioning. CoRR Teng Wang, Zhu Liu, Feng Zheng, Zhichao Lu, Ran Cheng, Ping Luo
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
2022	J	`jnl`	Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation. CoRR Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang
2022	J	`jnl`	Ternary Compression for Communication-Efficient Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng
2022	J	`jnl`	Thematic issue on knowledge and data driven evolutionary multi-objective optimization. Memetic Comput. Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin
2022	A*	`conf`	VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. ICML Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo
2022	J	`jnl`	VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. CoRR Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo
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`	A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao
2021	J	`jnl`	A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao
2021	J	`jnl`	A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. Inf. Sci. Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang
2021	J	`jnl`	A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks. Inf. Sci. Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng
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 Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Trans. Evol. Comput. Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao
2021	J	`jnl`	Efficient evolutionary neural architecture search by modular inheritable crossover. Swarm Evol. Comput. Cheng He, Hao Tan, Shihua Huang, Ran Cheng
2021	A*	`conf`	End-to-End Dense Video Captioning with Parallel Decoding. ICCV Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo
2021	J	`jnl`	End-to-End Dense Video Captioning with Parallel Decoding. CoRR Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo
2021	C	`ed.`	Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings EMO Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou
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	C	`conf`	Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. EMO Cheng He, Ran Cheng
2021	J	`jnl`	Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin
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	J	`jnl`	Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction. CoRR Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao
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
2020	J	`jnl`	Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. CoRR Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao
2020	J	`jnl`	Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations. Inf. Sci. Huangke Chen, Ran Cheng, Jinming Wen, Haifeng Li, Jian Weng
2020	B	`conf`	Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. CEC Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin
2020	J	`jnl`	Ternary Compression for Communication-Efficient Federated Learning. CoRR Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, 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`	A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin
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	J	`jnl`	Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. IEEE Comput. Intell. Mag. Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin
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	J	`jnl`	Particle swarm optimization for network-based data classification. Neural Networks Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin
2019	J	`jnl`	Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao
2019	B	`conf`	Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. CEC Cheng He, Ran Cheng, Yaochu Jin, Xin Yao
2018	J	`jnl`	A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Trans. Evol. Comput. Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
2018	J	`jnl`	A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Inf. Sci. Xingyi Zhang, Xiutao Zheng, Ran Cheng, Jianfeng Qiu, Yaochu Jin
2018	J	`jnl`	A two-stage R2 indicator based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin
2018	J	`jnl`	An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Trans. Evol. Comput. Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin
2018	J	`jnl`	Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. IEEE Trans. Evol. Comput. Ran Cheng, Miqing Li, Ke Li, Xin Yao
2018	J	`jnl`	Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput. Shenkai Gu, Ran Cheng, Yaochu Jin
2018	J	`jnl`	Multiobjective Test Problems with Degenerate Pareto Fronts. CoRR Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao
2018	B	`conf`	Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. CEC Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin
2017	—	`conf`	Adjusting Parallel Coordinates for Investigating Multi-objective Search. SEAL Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao
2017	J	`jnl`	Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Trans. Emerg. Top. Comput. Intell. Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin
2017	B	`conf`	Nature-Inspired Graph Optimization for Dimensionality Reduction. ICTAI Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao
2017	B	`conf`	Parallel peaks: A visualization method for benchmark studies of multimodal optimization. CEC Ran Cheng, Miqing Li, Xin Yao
2017	J	`jnl`	PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Comput. Intell. Mag. Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin
2017	J	`jnl`	PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization. CoRR Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin
2017	J	`jnl`	Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng
2017	J	`jnl`	Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2016	J	`jnl`	A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2016	B	`conf`	A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. CEC Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin
2016	—	`conf`	Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. SSCI Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
2016	B	`conf`	Network structural optimization based on swarm intelligence for highlevel classification. IJCNN Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin
2015	J	`jnl`	A Competitive Swarm Optimizer for Large Scale Optimization. IEEE Trans. Cybern. Ran Cheng, Yaochu Jin
2015	J	`jnl`	A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff
2015	J	`jnl`	A social learning particle swarm optimization algorithm for scalable optimization. Inf. Sci. Ran Cheng, Yaochu Jin
2015	—	`conf`	Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. EMO (1) Ran Cheng, Yaochu Jin, Kaname Narukawa
2015	J	`jnl`	An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin
2015	J	`jnl`	Multi-objective ensemble generation. WIREs Data Mining Knowl. Discov. Shenkai Gu, Ran Cheng, Yaochu Jin
2015	B	`conf`	Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. CEC Ran Cheng, Markus Olhofer, Yaochu Jin
2014	B	`conf`	Demonstrator selection in a social learning particle swarm optimizer. IEEE Congress on Evolutionary Computation Ran Cheng, Yaochu Jin
2013	B	`conf`	A multi-swarm evolutionary framework based on a feedback mechanism. IEEE Congress on Evolutionary Computation Ran Cheng, Chaoli Sun, Yaochu Jin
2013	—	`conf`	Simulating swarm behaviuors for optimisation by learning from neighbours. UKCI Ran Cheng, Yaochu Jin
2012	B	`conf`	Bisexual evolution: A novel bisexual evolutionary framework based on the Fisher's runaway process. IEEE Congress on Evolutionary Computation Ran Cheng, Min Yao, Xiaowei Xue, Bin Shen
2010	—	`conf`	A Modified Particle Swarm Optimizer with a Novel Operator. AICI (2) Ran Cheng, Min Yao
2010	—	`conf`	Semantic Image Retrieval Based on Multiple-Instance Learning. ICDM Workshops Min Yao, Wensheng Yi, Rong Zhu, Ran Cheng