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ORCIDRan Cheng
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2020 – today
- 2024
[j82]Mengmeng Zhang, Zeliang Zhang, Yuan Li, Ran Cheng, Hongyuan Jing, Zhi Liu:
CTU-Level Adaptive QP Offset Algorithm for V-PCC Using JND and Spatial Complexity. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(8): 1400-1403 (2024)- [j81]Dikshit Chauhan
, Shivani, Ran Cheng:
Competitive Swarm Optimizer: A decade survey. Swarm Evol. Comput. 87: 101543 (2024) - [j80]Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang:
Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. 5(6): 2456-2457 (2024) - [j79]Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng:
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games. IEEE Trans. Games 16(1): 51-63 (2024) - [j78]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): 47-61 (2024) - [j77]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28(2): 323-337 (2024) - [j76]Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng:
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3263-3278 (2024) - [j75]Hui Bai, Ran Cheng:
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3450-3462 (2024) - [j74]Xin Huang, Ran Cheng, Jiaxing Wu, Qingyu Guo, Shijia Chen, Chaojie Liu, Zhao Wang, Yongle Chen, Shufeng Hao, Jie Zhang:
A Blockchain-Based Authentication Scheme for Energy Trading in Electric Transportation. IEEE Trans. Smart Grid 15(6): 6048-6062 (2024) - [j73]Ran Cheng, Yukun Yang, Zhengzhuo Zhang, Xiaoxin Sun, Xin Huang, Xiaohua Wu, Liangbin Zhao:
LLRA: A Lightweight Leakage-Resilient Authentication Key Exchange Scheme for Smart Meters. IEEE Trans. Smart Grid 15(6): 6126-6141 (2024) - [j72]Xiangyu Wang, Ran Cheng, Yaochu Jin:
Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6280-6292 (2024) - [j71]Yansong Huang, Zherui Zhang, Ao Jiao, Yuxin Ma, Ran Cheng:
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-Objective Optimization. IEEE Trans. Vis. Comput. Graph. 30(1): 661-671 (2024) - [c72]Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng:
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. GECCO 2024 - [c71]Lishuang Wang, Mengfei Zhao, Enyu Liu, Kebin Sun, Ran Cheng:
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration. GECCO 2024 - [c70]Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng:
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. GECCO Companion 2024: 163-166 - [c69]Luming Yang, Tao Jiang, Ran Cheng:
Tensorized Ant Colony Optimization for GPU Acceleration. GECCO Companion 2024: 755-758 - [c68]Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. ICANN (4) 2024: 58-73 - [c67]Haoming Zhang, Ran Cheng:
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search. IJCNN 2024: 1-8 - [c66]Xinze Li, Yiqin Zeng, Yuxuan Wu, Ying Sun, Junru Qu, Chengji Jin, Jiani Gu, Rongzong Shen, Gaobo Lin, Dawei Gao, Xiao Yu, Bing Chen, Ran Cheng, Genquan Han:
Investigation of Read Disturb for Hf0.5Zr0.502 Ferroelectric Field-Effect Transistors Based Neuromorphic Applications. IRPS 2024: 1-5 - [c65]Junru Qu, Dong Liu, Bing Chen, Ying Sun, Xinze Li, Chengji Jin, Jiajia Chen, Haoji Qian, Rongzong Shen, Xiao Yu, Dawei Gao, Ran Cheng, Genquan Han:
Low Temperature Characterization and Modeling of Hot Carrier Injection in 14 nm Si FinFET. IRPS 2024: 70 - [i56]Martin Lentschat, Cyril Labbé, Ran Cheng:
NanoNER: Named Entity Recognition for nanobiology using experts' knowledge and distant supervision. CoRR abs/2402.03362 (2024) - [i55]Haoxi Zhang, Xinxu Zhang, Yuanxin Lin, Maiqi Wang, Yi Lai, Yu Wang, Linfeng Yu, Yufeng Xu, Ran Cheng, Edward Szczerbicki:
Tokensome: Towards a Genetic Vision-Language GPT for Explainable and Cognitive Karyotyping. CoRR abs/2403.11073 (2024) - [i54]Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng:
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. CoRR abs/2404.01159 (2024) - [i53]Lishuang Wang, Mengfei Zhao, Enyu Liu, Kebin Sun, Ran Cheng:
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration. CoRR abs/2404.01817 (2024) - [i52]Luming Yang, Tao Jiang, Ran Cheng:
Tensorized Ant Colony Optimization for GPU Acceleration. CoRR abs/2404.04895 (2024) - [i51]Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan:
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR abs/2404.06290 (2024) - [i50]Hui Bai, Ran Cheng:
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning. CoRR abs/2404.08233 (2024) - [i49]Haoming Zhang, Ran Cheng:
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search. CoRR abs/2404.15622 (2024) - [i48]Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng:
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. CoRR abs/2404.16266 (2024) - [i47]Zhou Zhou, Guohang He, Zheng Zhang, Luziwei Leng, Qinghai Guo, Jianxing Liao, Xuan Song, Ran Cheng:
Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications. CoRR abs/2406.06626 (2024) - [i46]Yang Cheng, Qingyuan Shu, Albert Lee, Haoran He, Ivy Zhu, Haris Suhail, Minzhang Chen, Renhe Chen, Zirui Wang, Hantao Zhang, Chih-Yao Wang, Shan-Yi Yang, Yu-Chen Hsin, Cheng-Yi Shih, Hsin-Han Lee, Ran Cheng, Sudhakar Pamarti, Xufeng Kou, Kang L. Wang:
Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process. CoRR abs/2407.12261 (2024) - [i45]Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. CoRR abs/2408.00280 (2024) - [i44]Zherui Zhang, Fan Yang, Ran Cheng, Yuxin Ma:
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual Analytics. CoRR abs/2408.04539 (2024) - [i43]Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Kun Wu, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. CoRR abs/2409.12514 (2024) - [i42]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation. CoRR abs/2409.14411 (2024) - 2023
- [j70]Qian Li, Cong Zhao, Ran Cheng:
How the Characteristics of Live-Streaming Environment Affect Consumer Purchase Intention: The Mediating Role of Presence and Perceived Trust. IEEE Access 11: 123977-123988 (2023) - [j69]Haoran Yu, Tiancheng Gong, Peng Yuan, Yuan Wang, Zhaomeng Gao, Xiaoxin Xu, Ying Sun, Ran Cheng, Jianfeng Gao, Junfeng Li, Bing Chen, Qing Luo:
Transport mechanism in Hf0.5Zr0.5O2-based ferroelectric diodes. Sci. China Inf. Sci. 66(12) (2023) - [j68]Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin:
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]. IEEE Comput. Intell. Mag. 18(2): 16-17 (2023) - [j67]Yu Liu, Ang Li, Ran Cheng, Bingxuan Li, Qingguo Xie, Xiaoping Wang, Bensheng Qiu, Xun Chen, Peng Xiao:
A depth-of-interaction rebinning method based on both geometric and activity weights. Comput. Methods Programs Biomed. 240: 107703 (2023) - [j66]Jia Liu, Ran Cheng, Yaochu Jin:
Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures. Neurocomputing 550: 126465 (2023) - [j65]Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang:
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation. IEEE Trans. Artif. Intell. 4(6): 1602-1615 (2023) - [j64]Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. 53(11): 6937-6950 (2023) - [j63]Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff:
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. 27(3): 398-400 (2023) - [j62]Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng:
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1010-1024 (2023) - [j61]Yuan Ren, Bingbing Liu, Ran Cheng, Christopher Agia:
Lightweight Semantic-Aided Localization With Spinning LiDAR Sensor. IEEE Trans. Intell. Veh. 8(1): 605-615 (2023) - [j60]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): 475-489 (2023) - [c64]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CVPR 2023: 7756-7765 - [c63]Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo:
Accelerating Vision-Language Pretraining with Free Language Modeling. CVPR 2023: 23161-23170 - [c62]Yiqin Zeng, Zhetao Ding, Xueyang Li, Minglei Ma, Yue Peng, Rongzong Shen, Gaobo Lin, Chengji Jin, Xiao Yu, Bing Chen, Ran Cheng, Genquan Han:
Complete Reconfigurable Boolean Logic Gates Based on One FeFET -One RRAM Technology. ESSDERC 2023: 85-88 - [c61]Bowen Zheng, Ran Cheng:
Rethinking Population-assisted Off-policy Reinforcement Learning. GECCO 2023: 624-632 - [c60]Xinze Li, Yuxuan Wu, Qiao Teng, Ying Sun, Xiao Gong, Guillaume Besnard, Christophe Maleville, Olivier Weber, Rui Zhang, Bing Chen, Dawei Gao, Ran Cheng:
Investigation of Random Telegraph Noise in Advanced Silicon-On-Insulator N-FETs: The Impact of Back Bias, Strain, and Hot Carrier Stress. ICICDT 2023: 116-119 - [c59]Ran Cheng:
Investigation of Low Temperature Noise and Current Fluctuation for Advanced Transistors: Characterization and Modeling. ICICDT 2023: xxvii - [c58]Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti:
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. ICWS 2023: 415-425 - [c57]Runze Yuan, Ran Cheng, Lige Liu, Tao Sun, Laurent Kneip:
Scale Jump-Aware Pose Graph Relaxation for Monocular SLAM with Re-Initializations. IROS 2023: 3445-3452 - [i41]Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. CoRR abs/2301.12457 (2023) - [i40]Hui Bai, Ran Cheng, Yaochu Jin:
Evolutionary Reinforcement Learning: A Survey. CoRR abs/2303.04150 (2023) - [i39]Teng Wang, Jinrui Zhang, Feng Zheng, Wenhao Jiang, Ran Cheng, Ping Luo:
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos. CoRR abs/2303.06378 (2023) - [i38]Teng Wang, Yixiao Ge, Feng Zheng, Ran Cheng, Ying Shan, Xiaohu Qie, Ping Luo:
Accelerating Vision-Language Pretraining with Free Language Modeling. CoRR abs/2303.14038 (2023) - [i37]Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng:
Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. CoRR abs/2304.11857 (2023) - [i36]Bowen Zheng, Ran Cheng:
Rethinking Population-assisted Off-policy Reinforcement Learning. CoRR abs/2305.02949 (2023) - [i35]Boyan Li, Luziwei Leng, Ran Cheng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao:
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference. CoRR abs/2306.12465 (2023) - [i34]Runze Yuan, Ran Cheng, Lige Liu, Tao Sun, Laurent Kneip:
Scale jump-aware pose graph relaxation for monocular SLAM with re-initializations. CoRR abs/2307.12326 (2023) - [i33]Hu Zhang, Luziwei Leng, Kaiwei Che, Qian Liu, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng:
Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons. CoRR abs/2307.12900 (2023) - [i32]Chuntao Ding, Zhichao Lu, Shangguang Wang, Ran Cheng, Vishnu Naresh Boddeti:
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives. CoRR abs/2308.02066 (2023) - [i31]Yansong Huang, Zherui Zhang, Ao Jiao, Yuxin Ma, Ran Cheng:
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization. CoRR abs/2308.05640 (2023) - [i30]Zhichao Lu, Chuntao Ding, Shangguang Wang, Ran Cheng, Felix Juefei-Xu, Vishnu Naresh Boddeti:
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services. CoRR abs/2308.06515 (2023) - 2022
- [j59]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): 174:1-174:34 (2022) - [j58]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid attention-based transformer block model for distant supervision relation extraction. Neurocomputing 470: 29-39 (2022) - [j57]Ke Hu, Wenhao Sun, Zhongbo Nie, Ran Cheng, Song Chen, Yi Kang:
Real-time infrared small target detection network and accelerator design. Integr. 87: 241-252 (2022) - [j56]Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin:
A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. 613: 591-608 (2022) - [j55]Wenxiu He, Ran Cheng, Keji Mao, Ke Yan, Jianliang Wei, Yingying Xu:
A Novel Anchorless Node Positioning Method for Wireless Sensor Network. J. Sensors 2022: 1-10 (2022) - [j54]Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin:
Thematic issue on knowledge and data driven evolutionary multi-objective optimization. Memetic Comput. 14(2): 133-134 (2022) - [j53]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): 237-251 (2022) - [j52]Ran Cheng, Zhihua Liu, Guodong Zhai, Qi Lv, Ming Yang, Chenguang Cai:
High-Acceleration Vibration Calibration System Based on Phase-Locked Resonance Control. Sensors 22(19): 7208 (2022) - [j51]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: 101181 (2022) - [j50]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): 722-737 (2022) - [j49]Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao:
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Trans. Cybern. 52(5): 3380-3393 (2022) - [j48]Danial Yazdani, Ran Cheng, Cheng He, Jürgen Branke:
Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization. IEEE Trans. Cybern. 52(7): 6476-6489 (2022) - [j47]Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng:
Ternary Compression for Communication-Efficient Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1162-1176 (2022) - [j46]Cheng He, Ran Cheng, Danial Yazdani:
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 786-798 (2022) - [j45]Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7760-7773 (2022) - [c56]Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip:
Spotlights: Probing Shapes from Spherical Viewpoints. ACCV (1) 2022: 469-485 - [c55]Pinyuan Zhong, Ran Cheng, Xiaoying Tang:
Utilizing average symmetrical surface distance in active shape modeling for subcortical surface generation with slow-fast learning. EMBC 2022: 230-233 - [c54]Xinze Li, Ying Sun, Jing Wan, Bing Chen, Ran Cheng, Genquan Han:
Machine Learning Method for Accurate Analysis of Complicated Low Temperature Random Telegraph Noise. ICICDT 2022: 20-23 - [c53]Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo:
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. ICML 2022: 22680-22690 - [i29]Teng Wang, Zhu Liu, Feng Zheng, Zhichao Lu, Ran Cheng, Ping Luo:
Semantic-Aware Pretraining for Dense Video Captioning. CoRR abs/2204.07449 (2022) - [i28]Ran Cheng, Xinyu Jiang, Yuan Chen, Lige Liu, Tao Sun:
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization. CoRR abs/2205.05861 (2022) - [i27]Jiaxin Wei, Lige Liu, Ran Cheng, Wenqing Jiang, Minghao Xu, Xinyu Jiang, Tao Sun, Sören Schwertfeger, Laurent Kneip:
Spotlights: Probing Shapes from Spherical Viewpoints. CoRR abs/2205.12564 (2022) - [i26]Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, Ping Luo:
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix. CoRR abs/2206.08919 (2022) - [i25]Jinrui Zhang, Teng Wang, Feng Zheng, Ran Cheng, Ping Luo:
Exploiting Context Information for Generic Event Boundary Captioning. CoRR abs/2207.01050 (2022) - [i24]Jia Liu, Ran Cheng, Yaochu Jin:
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures. CoRR abs/2207.05321 (2022) - [i23]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. CoRR abs/2208.04321 (2022) - [i22]Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang:
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation. CoRR abs/2208.06820 (2022) - [i21]Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng:
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games. CoRR abs/2209.10055 (2022) - 2021
- [j44]Ran Cheng, Ying Sun, Yiming Qu, Wei Liu, Fanyu Liu, Jianfeng Gao, Nuo Xu, Bing Chen:
Nano-scaled transistor reliability characterization at nano-second regime. Sci. China Inf. Sci. 64(10) (2021) - [j43]Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang:
A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. Inf. Sci. 560: 68-91 (2021) - [j42]Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng:
A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks. Inf. Sci. 576: 374-392 (2021) - [j41]Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng:
Adaptive simulated binary crossover for rotated multi-objective optimization. Swarm Evol. Comput. 60: 100759 (2021) - [j40]Cheng He, Hao Tan, Shihua Huang, Ran Cheng:
Efficient evolutionary neural architecture search by modular inheritable crossover. Swarm Evol. Comput. 64: 100894 (2021) - [j39]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): 3129-3142 (2021) - [j38]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): 3325-3337 (2021) - [j37]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Trans. Evol. Comput. 25(2): 371-385 (2021) - [j36]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): 448-462 (2021) - [j35]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. 25(4): 609-629 (2021) - [j34]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. 25(4): 630-650 (2021) - [j33]Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin:
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3552-3564 (2021) - [j32]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): 5880-5894 (2021) - [c52]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. CEC 2021: 2149-2155 - [c51]Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network. CVPR 2021: 12547-12556 - [c50]Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li:
Revisiting Self-training for Few-shot Learning of Language Model. EMNLP (1) 2021: 9125-9135 - [c49]Cheng He, Ran Cheng:
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. EMO 2021: 41-52 - [c48]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. EMO 2021: 296-307 - [c47]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. EMO 2021: 492-503 - [c46]Jianqing Lin, Cheng He, Ran Cheng:
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. EMO 2021: 567-579 - [c45]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: 672-683 - [c44]Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. ICCV 2021: 844-853 - [c43]Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. ICCV 2021: 6827-6837 - [c42]Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu:
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. ICCV 2021: 16056-16065 - [c41]Ying Sun, Yuchen Gu, Bing Chen, Xiao Yu, Ran Cheng:
A Ballistic Transport Study for Advanced Transistors in Post-Moore Era: Parasitic Resistance, Self-heating and Cryogenic Analysis. ICICDT 2021: 1-4 - [c40]Ryan Razani, Ran Cheng, Ehsan Taghavi, Bingbing Liu:
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. ICRA 2021: 9550-9556 - [c39]Ran Cheng, Ryan Razani, Yuan Ren, Bingbing Liu:
S3Net: 3D LiDAR Sparse Semantic Segmentation Network. ICRA 2021: 14040-14046 - [c38]Ran Cheng, Christopher Agia, Florian Shkurti, David Meger, Gregory Dudek:
Latent Attention Augmentation for Robust Autonomous Driving Policies. IROS 2021: 130-136 - [e1]Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents] - [i20]Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu:
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network. CoRR abs/2102.04530 (2021) - [i19]Ran Cheng, Ryan Razani, Yuan Ren, Bingbing Liu:
S3Net: 3D LiDAR Sparse Semantic Segmentation Network. CoRR abs/2103.08745 (2021) - [i18]Ryan Razani, Ran Cheng, Ehsan Taghavi, Bingbing Liu:
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. CoRR abs/2103.08852 (2021) - [i17]Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. CoRR abs/2108.07058 (2021) - [i16]Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. CoRR abs/2108.07781 (2021) - [i15]Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu:
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. CoRR abs/2108.08401 (2021) - [i14]Yiming Chen, Yan Zhang, Chen Zhang, Grandee Lee, Ran Cheng, Haizhou Li:
Revisiting Self-Training for Few-Shot Learning of Language Model. CoRR abs/2110.01256 (2021) - [i13]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang:
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation. CoRR abs/2110.05242 (2021) - [i12]Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li:
R4: A Framework for Route Representation and Route Recommendation. CoRR abs/2110.10474 (2021) - 2020
- [j31]Huangke Chen, Ran Cheng, Jinming Wen, Haifeng Li, Jian Weng:
Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations. Inf. Sci. 509: 457-469 (2020) - [j30]Zhanglu Hou, Cheng He, Ran Cheng:
Reformulating preferences into constraints for evolutionary multi- and many-objective optimization. Inf. Sci. 541: 1-15 (2020) - [j29]Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin:
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Trans. Cybern. 50(3): 1106-1119 (2020) - [j28]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): 868-881 (2020) - [c37]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang:
Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. CEC 2020: 1-8 - [c36]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. CEC 2020: 1-8 - [c35]Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Bingbing Liu:
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds. CoRL 2020: 2148-2161 - [c34]Ran Cheng, Christopher Agia, David Meger, Gregory Dudek:
Depth Prediction for Monocular Direct Visual Odometry. CRV 2020: 70-77 - [i11]Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Yaochu Jin:
Ternary Compression for Communication-Efficient Federated Learning. CoRR abs/2003.03564 (2020) - [i10]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction. CoRR abs/2003.11518 (2020) - [i9]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. CoRR abs/2003.11613 (2020) - [i8]Shihua Huang, Cheng He, Ran Cheng:
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network. CoRR abs/2008.01681 (2020) - [i7]Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo:
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. CoRR abs/2009.06193 (2020) - [i6]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. CoRR abs/2011.13591 (2020) - [i5]Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, Bingbing Liu:
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds. CoRR abs/2012.09242 (2020)
2010 – 2019
- 2019
- [j27]Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin:
Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. IEEE Comput. Intell. Mag. 14(3): 61-74 (2019) - [j26]Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin:
Particle swarm optimization for network-based data classification. Neural Networks 110: 243-255 (2019) - [j25]Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin:
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(2): 331-345 (2019) - [j24]Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao:
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23(5): 762-775 (2019) - [j23]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): 949-961 (2019) - [c33]Zhimei Cai, Zhiyong Han, Ming Tian, Changfeng Wang, Xiaoming Hu, Ran Cheng, Yi Zhao:
Variation Analysis of Interconnect Capacitance and Process Corner in Advanced CMOS Process with Double Patterning Technology. ASICON 2019: 1-4 - [c32]Ran Cheng, Ming Tian, Changfeng Wang, Zhimei Cai, Jie Zhang, Yan-Yan Zhang, Yi Zhao:
Performance Investigation of Uniaxially Tensile Stressed Ge n-FinFETs Formed on Biaxially Strained GeOI Substrates And Its Impact On Ge CMOS Inverters. ASICON 2019: 1-4 - [c31]Yiming Chen, Tianci Pan, Cheng He, Ran Cheng:
Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation. BIC-TA (2) 2019: 497-508 - [c30]Hao Tan, Cheng He, Dexuan Tang, Ran Cheng:
Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover. BIC-TA (1) 2019: 761-769 - [c29]Cheng He, Ran Cheng, Yaochu Jin, Xin Yao:
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. CEC 2019: 1672-1679 - [c28]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: 2018-2025 - [c27]Jie Li, Ran Cheng, Yesheng Gao, Xue Jiang, Bin Yuan, Ye Zhang, Xingzhao Liu:
Automatic Sub-Images Extraction from Entire Urban SAR Scenes Based on the Clustering-Based Algorithm and Graph Traversal Methods. IGARSS 2019: 8602-8605 - [i4]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs). CoRR abs/1910.04966 (2019) - 2018
- [j22]Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin:
A two-stage R2 indicator based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 67: 245-260 (2018) - [j21]Xingyi Zhang, Xiutao Zheng, Ran Cheng, Jianfeng Qiu, Yaochu Jin:
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Inf. Sci. 427: 63-76 (2018) - [j20]Shenkai Gu, Ran Cheng, Yaochu Jin:
Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput. 22(3): 811-822 (2018) - [j19]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 97-112 (2018) - [j18]Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin:
An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Trans. Evol. Comput. 22(4): 609-622 (2018) - [j17]Ran Cheng, Miqing Li, Ke Li, Xin Yao:
Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. IEEE Trans. Evol. Comput. 22(5): 692-706 (2018) - [c26]Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin:
Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. CEC 2018: 1-6 - [c25]Travis Manderson, Juan Camilo Gamboa Higuera, Ran Cheng, Gregory Dudek:
Vision-Based Autonomous Underwater Swimming in Dense Coral for Combined Collision Avoidance and Target Selection. IROS 2018: 1885-1891 - [c24]Yiming Qu, Ran Cheng, Wei Liu, Junkang Li, Bich-Yen Nguyen, Olivier Faynot, Nuo Xu, Bing Chen, Yi Zhao:
Effect of measurement speed (μs-800 ps) on the characterization of reliability behaviors for FDSOI nMOSFETs. IRPS 2018: 6 - [c23]Travis Manderson, Ran Cheng, David Meger, Gregory Dudek:
Navigation in the Service of Enhanced Pose Estimation. ISER 2018: 687-701 - [i3]Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Multiobjective Test Problems with Degenerate Pareto Fronts. CoRR abs/1806.02706 (2018) - [i2]Ran Cheng, Uday S. Goteti, Michael C. Hamilton:
Superconducting Neuromorphic Computing Using Quantum Phase-Slip Junctions. CoRR abs/1812.07503 (2018) - 2017
- [j16]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Comput. Intell. Mag. 12(4): 73-87 (2017) - [j15]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 47(12): 4108-4121 (2017) - [j14]Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng:
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 21(4): 644-660 (2017) - [j13]Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin:
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Trans. Emerg. Top. Comput. Intell. 1(2): 97-111 (2017) - [j12]Huawei Zhou, Wenxiang Zhao, Guohai Liu, Ran Cheng, Ying Xie:
Remedial Field-Oriented Control of Five-Phase Fault-Tolerant Permanent-Magnet Motor by Using Reduced-Order Transformation Matrices. IEEE Trans. Ind. Electron. 64(1): 169-178 (2017) - [j11]Liang Xu, Guohai Liu, Wenxiang Zhao, Xinyu Yang, Ran Cheng:
Hybrid Stator Design of Fault-Tolerant Permanent-Magnet Vernier Machines for Direct-Drive Applications. IEEE Trans. Ind. Electron. 64(1): 179-190 (2017) - [c22]Ran Cheng, Miqing Li, Xin Yao:
Parallel peaks: A visualization method for benchmark studies of multimodal optimization. CEC 2017: 263-270 - [c21]Ran Cheng, Yueming Lu, Jiefu Gan:
Environment-Related Information Security Evaluation for Intrusion Detection Systems. ChinaCom (2) 2017: 373-382 - [c20]Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao:
Nature-Inspired Graph Optimization for Dimensionality Reduction. ICTAI 2017: 1113-1119 - [c19]Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Adjusting Parallel Coordinates for Investigating Multi-objective Search. SEAL 2017: 224-235 - [i1]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization. CoRR abs/1701.00879 (2017) - 2016
- [b1]Ran Cheng:
Nature inspired optimization of large problems. University of Surrey, Guildford, UK, 2016 - [j10]Haiyan Jin, Xinlin Xue, Ran Cheng, Hailu Jin:
Slow-Wave Half Mode Substrate Integrated Waveguide with Partially Polyline Loading. IEICE Trans. Electron. 99-C(12): 1323-1326 (2016) - [j9]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20(5): 773-791 (2016) - [c18]Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin:
A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. CEC 2016: 5222-5229 - [c17]Sheng Zhang, Danling Zhao, Ran Cheng, Jiajun Cheng, Hui Wang:
Finding Influential Papers in Citation Networks. DSC 2016: 658-662 - [c16]Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin:
Network structural optimization based on swarm intelligence for highlevel classification. IJCNN 2016: 3737-3744 - [c15]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. SSCI 2016: 1-8 - 2015
- [j8]Haiyan Jin, Zheng Zhu, Ran Cheng:
Novel broadband coupler based on corrugated half mode substrate integrated waveguide. IEICE Electron. Express 12(24): 20150896 (2015) - [j7]Ran Cheng, Yaochu Jin:
A social learning particle swarm optimization algorithm for scalable optimization. Inf. Sci. 291: 43-60 (2015) - [j6]Ran Cheng, Yaochu Jin:
A Competitive Swarm Optimizer for Large Scale Optimization. IEEE Trans. Cybern. 45(2): 191-204 (2015) - [j5]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 19(2): 201-213 (2015) - [j4]Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff:
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. 19(6): 838-856 (2015) - [j3]Shenkai Gu, Ran Cheng, Yaochu Jin:
Multi-objective ensemble generation. WIREs Data Mining Knowl. Discov. 5(5): 234-245 (2015) - [c14]Ran Cheng, Jun Pang, Yang Zhang:
Inferring Friendship from Check-in Data of Location-Based Social Networks. ASONAM 2015: 1284-1291 - [c13]Ran Cheng, Markus Olhofer, Yaochu Jin:
Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. CEC 2015: 939-946 - [c12]Ran Cheng, Yaochu Jin, Kaname Narukawa:
Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. EMO (1) 2015: 127-140 - 2014
- [c11]Ran Cheng, Yaochu Jin:
Demonstrator selection in a social learning particle swarm optimizer. IEEE Congress on Evolutionary Computation 2014: 3103-3110 - 2013
- [c10]Ran Cheng, Chaoli Sun, Yaochu Jin:
A multi-swarm evolutionary framework based on a feedback mechanism. IEEE Congress on Evolutionary Computation 2013: 718-724 - [c9]Ran Cheng, Yaochu Jin:
Simulating swarm behaviuors for optimisation by learning from neighbours. UKCI 2013: 82-87 - 2012
- [j2]Ran Cheng, Yu Shang, Don Hayes Jr., Sibu P. Saha, Guoqiang Yu:
Noninvasive optical evaluation of spontaneous low frequency oscillations in cerebral hemodynamics. NeuroImage 62(3): 1445-1454 (2012) - [c8]Ran Cheng, Min Yao, Xiaowei Xue, Bin Shen:
Bisexual evolution: A novel bisexual evolutionary framework based on the Fisher's runaway process. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c7]Ran Cheng, Shazia Wasim Sadiq, Marta Indulska:
Framework for Business Process and Rule Integration: A Case of BPMN and SBVR. BIS 2011: 13-24 - 2010
- [c6]Ran Cheng, Min Yao:
A Modified Particle Swarm Optimizer with a Novel Operator. AICI (2) 2010: 293-301 - [c5]Min Yao, Wensheng Yi, Rong Zhu, Ran Cheng:
Semantic Image Retrieval Based on Multiple-Instance Learning. ICDM Workshops 2010: 905-910
2000 – 2009
- 2009
- [c4]Ran Cheng, Zi Huang, Heng Tao Shen, Xiaofang Zhou:
Interactive near-duplicate video retrieval and detection. ACM Multimedia 2009: 1001-1002 - 2006
- [j1]Ran Cheng, Julita Vassileva:
Design and evaluation of an adaptive incentive mechanism for sustained educational online communities. User Model. User Adapt. Interact. 16(3-4): 321-348 (2006) - 2005
- [c3]Ran Cheng, Julita Vassileva:
Adaptive Reward Mechanism for Sustainable Online Learning Community. AIED 2005: 152-159 - [c2]Ran Cheng, Julita Vassileva:
User Motivation and Persuasion Strategy for Peer-to-Peer Communities. HICSS 2005 - [c1]Ran Cheng, Julita Vassileva:
User- and Community-Adaptive Rewards Mechanism for Sustainable Online Community. User Modeling 2005: 332-336
Coauthor Index
[j78] [j77] [j76] [j72] [j68] [j66] [j64] [j63] [i41] [i40] [j59] [j58] [j56] [j54] [j51] [j47] [j45] [i24] [i23] [j39] [j37] [j36] [j35] [j34] [j33] [j29] [c36] [i11] [i10] [i9] [j27] [j26] [j25] [j23] [c29] [i4] [j22] [j21] [j20] [j19] [j18] [c26] [j16] [j15] [j14] [j13] [c20] [i1] [j9] [c18] [c16] [c15] [j7] [j6] [j5] [j4] [j3] [c13] [c12] [c11] [c10] [c9]
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