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ORCIDRuochen Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j66]Yuanjiang Li
, Ying Zhu, Yang Yu, Runze Mao, Linchang Ye, Yun Liu, Ruochen Liu, Tao Lang, Jinglin Zhang:
DACA: A domain adaptive fault diagnosis approach with class-aware based on cross-domain extreme imbalance data. Expert Syst. Appl. 256: 124944 (2024)- [j65]Chenglong Yu, Weibin Li, Wei Li, Zixuan Zhu, Ruochen Liu, Biao Hou, Licheng Jiao:
A survey for table recognition based on deep learning. Neurocomputing 600: 128154 (2024) - [j64]Jin Liu, Ruochen Liu:
Objective contribution decomposition method and multi-population optimization strategy for large-scale multi-objective optimization problems. Inf. Sci. 678: 120950 (2024) - [j63]Jianxia Li, Ruochen Liu, Ruinan Wang:
Handling dynamic capacitated vehicle routing problems based on adaptive genetic algorithm with elastic strategy. Swarm Evol. Comput. 86: 101529 (2024) - [j62]Jiarui Cui, Maosong Wang, Wenqi Wu, Ruochen Liu, Wenguo Yang:
Enhanced LG-EKF Backtracking Framework for Body-Velocity-Aided Vehicular Integrated Navigation. IEEE Trans. Veh. Technol. 73(10): 14212-14223 (2024) - [c41]Haoyuan Lv, Ruochen Liu, Handing Wang:
Multi-Population Evolutionary Algorithm via Seed Transfer for Multitasking Traveling Salesman Problem. CEC 2024: 1-8 - [c40]Chen Zhang, Huan Hu, Yuan Zhou, Qiyang Cao, Ruochen Liu, Wenya Wei, Elvis S. Liu:
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning. CoG 2024: 1-8 - [c39]Weifeng Pan, Wei Wu, Ming Hua, Dae-Kyoo Kim, Jinkai Yang, Ruochen Liu:
Improving the Condensing of Reverse Engineered Class Diagrams using Weighted Network Metrics. ICSE Companion 2024: 374-375 - [c38]Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang:
SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation. IJCAI 2024: 2561-2569 - [i7]Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang:
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. CoRR abs/2409.09253 (2024) - [i6]Stefan Juang, Hugh Cao, Arielle Zhou, Ruochen Liu, Nevin L. Zhang, Elvis S. Liu:
Breaking the mold: The challenge of large scale MARL specialization. CoRR abs/2410.02128 (2024) - [i5]Chen Zhang, Huan Hu, Yuan Zhou, Qiyang Cao, Ruochen Liu, Wenya Wei, Elvis S. Liu:
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning. CoRR abs/2410.04936 (2024) - 2023
- [j61]Song Liu, Anqi Liu, Zefeng Cai, Chunfeng Sun, Ruochen Liu:
Analysis of the Propagation Characteristics of Acoustic Waves From Leakages in Buried Gas Pipelines. IEEE Access 11: 113042-113049 (2023) - [j60]Haoyuan Lv, Ruochen Liu:
Multitasking evolutionary algorithm based on adaptive seed transfer for combinatorial problem. Appl. Soft Comput. 147: 110780 (2023) - [j59]Ruochen Liu, Ping Yang, Haoyuan Lv, Weibin Li:
Multi-Objective Multi-Factorial Evolutionary Algorithm for Container Placement. IEEE Trans. Cloud Comput. 11(2): 1430-1445 (2023) - [j58]Yachao Li, Jiadong Wang, Ruochen Liu, Jiabao Ding, Peng Zhang, Mengdao Xing:
Joint Translational Motion Compensation for Multitarget ISAR Imaging Based on Integrated Kalman Filter. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j57]Jianxia Li, Ruochen Liu, Ruinan Wang:
Elastic Strategy-Based Adaptive Genetic Algorithm for Solving Dynamic Vehicle Routing Problem With Time Windows. IEEE Trans. Intell. Transp. Syst. 24(12): 13930-13947 (2023) - [c37]Miguel Millan, Ruochen Liu, Ming Hua:
Connecting Cloud Computing and Machine Learning Through Functional Situation-Awareness: A User-Centric Smart Monitoring Application. SSE 2023: 1-5 - [c36]Xilong Zhang, Ruochen Liu, Jin Liu, Xuefeng Liang:
Interpreting Positional Information in Perspective of Word Order. ACL (1) 2023: 9600-9613 - [c35]Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor:
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. EMNLP (Findings) 2023: 14676-14688 - [c34]Qi Guo, Jinwei Zhang, Yong Chen, Ruochen Liu:
Multivariate Time Series Anomaly Detection in a Regularization Perspective. ICCAI 2023: 279-287 - [c33]Wanfeng Chen, Ruochen Liu, Qi Guo, Mengyi Niu:
A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window. ICSI (2) 2023: 374-385 - [i4]Haoyuan Lv, Ruochen Liu:
Multitasking Evolutionary Algorithm Based on Adaptive Seed Transfer for Combinatorial Problem. CoRR abs/2308.12647 (2023) - [i3]Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Ruochen Liu, Jian Zhang, Jianxin Wang:
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation. CoRR abs/2309.01988 (2023) - [i2]Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe P. O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor:
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting. CoRR abs/2310.17811 (2023) - 2022
- [j56]Caihong Mu, Weizhu Chen, Yi Liu, Dongchang Lei, Ruochen Liu:
Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms. Appl. Soft Comput. 116: 108355 (2022) - [j55]Jin Liu, Ruochen Liu, Xilong Zhang:
Recursive grouping and dynamic resource allocation method for large-scale multi-objective optimization problem. Appl. Soft Comput. 130: 109651 (2022) - [j54]Ruochen Liu, Dawei Jiang, Xilong Zhang:
A Stable Deep Reinforcement Learning Framework for Recommendation. IEEE Intell. Syst. 37(3): 76-84 (2022) - [j53]Jianxia Li, Ruochen Liu, Ruinan Wang:
Handling dynamic multiobjective optimization problems with variable environmental change via classification prediction and dynamic mutation. Inf. Sci. 608: 970-995 (2022) - [j52]Yifan Li, Ruochen Liu, Wanfeng Chen, Jing Liu:
Radial basis network simulation for noisy multiobjective optimization considering evolution control. Inf. Sci. 609: 1489-1505 (2022) - [j51]Ruochen Liu, Shaoyi Bei, Meng Gu, Han Wang, Jianzhong Sun:
Research on Characteristics of Electrostatic Wear-Site and Oil-Line Sensor with Theoretical and Comprehensive Analysis. J. Sensors 2022: 1-11 (2022) - [j50]Jianxia Li, Ruochen Liu, Ruinan Wang:
A change type-based self-adaptive response strategy for dynamic multi-objective optimization. Knowl. Based Syst. 243: 108447 (2022) - [j49]Ruochen Liu, Minlei Xue, Haoyuan Lv:
Adaptive Feature Weights Based Double-Layer Multi-Objective Method for SAR Image Segmentation. Remote. Sens. 14(5): 1117 (2022) - [j48]Simin Wang, Song Gao, Lun Zhou, Ruochen Liu, Hengsheng Zhang, Jiaming Liu, Yong Jia, Jiang Qian:
YOLO-SD: Small Ship Detection in SAR Images by Multi-Scale Convolution and Feature Transformer Module. Remote. Sens. 14(20): 5268 (2022) - [j47]Lun Zhou, Song Gao, Simin Wang, Hengsheng Zhang, Ruochen Liu, Jiaming Liu:
IPD-Net: Infrared Pedestrian Detection Network via Adaptive Feature Extraction and Coordinate Information Fusion. Sensors 22(22): 8966 (2022) - [j46]Ruochen Liu, Nanxi Li, Fangfang Wang:
Noisy multi-objective optimization algorithm based on Gaussian model and regularity model. Swarm Evol. Comput. 69: 101027 (2022) - [c32]Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li:
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing. NeurIPS 2022 - [i1]Zheming Tu, Changhao Chen, Xianfei Pan, Ruochen Liu, Jiarui Cui, Jun Mao:
EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention. CoRR abs/2209.08490 (2022) - 2021
- [j45]Ruochen Liu, Ruinan Wang, Renyu Bian, Jing Liu, Licheng Jiao:
A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective Optimization. Evol. Comput. 29(2): 269-304 (2021) - [j44]Ruochen Liu, Jianxia Li, Yaochu Jin, Licheng Jiao:
A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition. Evol. Comput. 29(4): 491-519 (2021) - [j43]Ruochen Liu, Ping Yang, Jiangdi Liu:
A dynamic multi-objective optimization evolutionary algorithm for complex environmental changes. Knowl. Based Syst. 216: 106612 (2021) - [j42]Ruochen Liu, Yifan Li, Handing Wang, Jin Liu:
A noisy multi-objective optimization algorithm based on mean and Wiener filters. Knowl. Based Syst. 228: 107215 (2021) - [j41]Ruochen Liu, Ruinan Wang, Junjun Huang, Jianxia Li, Licheng Jiao:
Change Detection in SAR Images Using Multiobjective Optimization and Ensemble Strategy. IEEE Geosci. Remote. Sens. Lett. 18(9): 1585-1589 (2021) - [c31]Mengyi Niu, Ruochen Liu, Handing Wang:
A Max-Min Ant System based on Decomposition for the Multi-Depot Cumulative Capacitated Vehicle Routing Problem. CEC 2021: 620-627 - [c30]Ruochen Liu, Nanxi Li, Luyao Peng, Kai Wu:
A Special Point and Transfer Component Analysis Based Dynamic Multi-objective Optimization Algorithm. EMO 2021: 218-231 - [c29]Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali:
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks 2021 - 2020
- [j40]Ruochen Liu, Rui Ren, Jin Liu, Jing Liu:
A clustering and dimensionality reduction based evolutionary algorithm for large-scale multi-objective problems. Appl. Soft Comput. 89: 106120 (2020) - [j39]Ruochen Liu, Runan Zhou, Rui Ren, Jiangdi Liu, Licheng Jiao:
Multi-layer interaction preference based multi-objective evolutionary algorithm through decomposition. Inf. Sci. 509: 420-436 (2020) - [j38]Ruochen Liu, Jin Liu, Runan Zhou, Cheng Lian, Renyu Bian:
A region division based decomposition approach for evolutionary many-objective optimization. Knowl. Based Syst. 194: 105518 (2020) - [j37]Ruochen Liu, Luyao Peng, Jiangdi Liu, Jing Liu:
A diversity introduction strategy based on change intensity for evolutionary dynamic multiobjective optimization. Soft Comput. 24(17): 12789-12799 (2020) - [j36]Ruochen Liu, Dawei Jiang, Langlang Zhang, Zetong Zhang:
Deep Depthwise Separable Convolutional Network for Change Detection in Optical Aerial Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1109-1118 (2020) - [j35]Ruochen Liu, Jin Liu, Yifan Li, Jing Liu:
A random dynamic grouping based weight optimization framework for large-scale multi-objective optimization problems. Swarm Evol. Comput. 55: 100684 (2020)
2010 – 2019
- 2019
- [j34]Jianxia Li, Ruochen Liu, Ruinan Wang, Jin Liu, Caihong Mu:
A Special Points-Based Hybrid Prediction Strategy for Dynamic Multi-Objective Optimization. IEEE Access 7: 62496-62510 (2019) - [j33]Ruochen Liu, Zhihong Cheng, Langlang Zhang, Jianxia Li:
Remote Sensing Image Change Detection Based on Information Transmission and Attention Mechanism. IEEE Access 7: 156349-156359 (2019) - [j32]Ruochen Liu, Fangfang Wang, Manman He, Licheng Jiao:
An adjustable fuzzy classification algorithm using an improved multi-objective genetic strategy based on decomposition for imbalance dataset. Knowl. Inf. Syst. 61(3): 1583-1605 (2019) - [j31]Ruochen Liu, Jiangdi Liu, Manman He:
A multi-objective ant colony optimization with decomposition for community detection in complex networks. Trans. Inst. Meas. Control 41(9): 2521-2534 (2019) - 2018
- [j30]Ruochen Liu, Jianxia Li, Jing Fan, Licheng Jiao:
A dynamic multiple populations particle swarm optimization algorithm based on decomposition and prediction. Appl. Soft Comput. 73: 434-459 (2018) - [j29]Ruochen Liu, Jianxia Li, Xiaolin Song, Xin Yu, Licheng Jiao:
Simulated annealing-based immunodominance algorithm for multi-objective optimization problems. Knowl. Inf. Syst. 55(1): 215-251 (2018) - [j28]Ruochen Liu, Jianxia Li, Wen Feng, Xin Yu, Licheng Jiao:
A new angle-based preference selection mechanism for solving many-objective optimization problems. Soft Comput. 22(19): 6311-6327 (2018) - [j27]Ruochen Liu, Lijia An, Xin Yu:
A new two-stage genetic programming classification algorithm and its applications. Trans. Inst. Meas. Control 40(8): 2560-2578 (2018) - 2017
- [j26]Ruochen Liu, Jianxia Li, Jing Fan, Caihong Mu, Licheng Jiao:
A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization. Eur. J. Oper. Res. 261(3): 1028-1051 (2017) - [j25]Ruochen Liu, Ruinan Wang, Xin Yu, Lijia An:
Shape automatic clustering-based multi-objective optimization with decomposition. Mach. Vis. Appl. 28(5-6): 497-508 (2017) - [j24]Ruochen Liu, Xiaolin Song, Lingfen Fang, Licheng Jiao:
An r-dominance-based preference multi-objective optimization for many-objective optimization. Soft Comput. 21(17): 5003-5024 (2017) - [c28]Jianxia Li, Ruochen Liu, Mingyang Zhang, Yangyang Li:
Ensemble-based multi-objective clustering algorithms for gene expression data sets. CEC 2017: 333-340 - [c27]Ruochen Liu, Cheng Lian, Langlang Zhang, Xiao Wang:
A modified MOEA/D by introducing an invasive weed optimization operator. ICNC-FSKD 2017: 271-277 - [c26]Ruochen Liu, Guan Xia, Jianxia Li:
Shape-Based Image Retrieval Based on Improved Genetic Programming. ICONIP (4) 2017: 212-220 - [c25]Ruochen Liu, Jianxia Li, Manman He:
Multi-objective Gene Expression Programming Based Automatic Clustering Method. ISICA (1) 2017: 148-158 - [c24]Ruochen Liu, Ruinan Wang, Manman He, Xiao Wang:
Improved Artificial Weed Colonization Based Multi-objective Optimization Algorithm. LSMS/ICSEE (2) 2017: 181-190 - 2016
- [j23]Ruochen Liu, Ruinan Wang, Wen Feng, Junjun Huang, Licheng Jiao:
Interactive Reference Region Based Multi-Objective Evolutionary Algorithm Through Decomposition. IEEE Access 4: 7331-7346 (2016) - 2015
- [j22]Ruochen Liu, Jing Fan, Licheng Jiao:
Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm. Appl. Intell. 43(1): 192-207 (2015) - [j21]Ruochen Liu, Binbin Zhu, Renyu Bian, Yajuan Ma, Licheng Jiao:
Dynamic local search based immune automatic clustering algorithm and its applications. Appl. Soft Comput. 27: 250-268 (2015) - [j20]Xiangrong Zhang, Yudi He, Licheng Jiao, Ruochen Liu, Jie Feng, Sisi Zhou:
Scaling cut criterion-based discriminant analysis for supervised dimension reduction. Knowl. Inf. Syst. 43(3): 633-655 (2015) - [j19]Ruochen Liu, Lang Zhang, Bingjie Li, Yajuan Ma, Licheng Jiao:
Synergy of two mutations based immune multi-objective automatic fuzzy clustering algorithm. Knowl. Inf. Syst. 45(1): 133-157 (2015) - [j18]Ruochen Liu, Xu Niu, Jing Fan, Caihong Mu, Licheng Jiao:
An orthogonal predictive model-based dynamic multi-objective optimization algorithm. Soft Comput. 19(11): 3083-3107 (2015) - [c23]Yangyang Li, Yang Yue, Licheng Jiao, Ruochen Liu:
Threshold image segmentation based on dynamic mutation and background cooperation. CEC 2015: 3271-3278 - 2014
- [j17]Ruochen Liu, Chenlin Ma, Fei He, Wenping Ma, Licheng Jiao:
Reference direction based immune clone algorithm for many-objective optimization. Frontiers Comput. Sci. 8(4): 642-655 (2014) - [j16]Ruochen Liu, Ping Zhang, Licheng Jiao:
Quantum Particle Swarm Optimization Classification Algorithm and its Applications. Int. J. Pattern Recognit. Artif. Intell. 28(2) (2014) - [j15]Ruochen Liu, Lixia Wang, Wenping Ma, Caihong Mu, Licheng Jiao:
Quadratic interpolation based orthogonal learning particle swarm optimization algorithm. Nat. Comput. 13(1): 17-37 (2014) - [j14]Ruochen Liu, Fei He, Jing Liu, Wenping Ma, Yangyang Li:
A point symmetry-based clonal selection clustering algorithm and its application in image compression. Pattern Anal. Appl. 17(3): 633-654 (2014) - [j13]Ruochen Liu, Yangyang Chen, Licheng Jiao, Yangyang Li:
A particle swarm optimization based simultaneous learning framework for clustering and classification. Pattern Recognit. 47(6): 2143-2152 (2014) - [j12]Ruochen Liu, Yangyang Chen, Wenping Ma, Caihong Mu, Licheng Jiao:
A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model. Soft Comput. 18(10): 1913-1929 (2014) - [j11]Xiangrong Zhang, Qiang Song, Ruochen Liu, Wenna Wang, Licheng Jiao:
Modified Co-Training With Spectral and Spatial Views for Semisupervised Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2044-2055 (2014) - [c22]Jingjing Ma, Yu Lei, Zhao Wang, Licheng Jiao, Ruochen Liu:
A memetic algorithm based on Immune multi-objective optimization for flexible job-shop scheduling problems. IEEE Congress on Evolutionary Computation 2014: 58-65 - [c21]Caihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao:
A memetic algorithm using local structural information for detecting community structure in complex networks. IEEE Congress on Evolutionary Computation 2014: 680-686 - [c20]Ruochen Liu, Xu Niu, Licheng Jiao, Jingjing Ma:
A multi-swarm particle swarm optimization with orthogonal learning for locating and tracking multiple optimization in dynamic environments. IEEE Congress on Evolutionary Computation 2014: 754-761 - 2013
- [j10]Ruochen Liu, Xiao Wang, Jing Liu, Lingfen Fang, Licheng Jiao:
A preference multi-objective optimization based on adaptive rank clone and differential evolution. Nat. Comput. 12(1): 109-132 (2013) - 2012
- [j9]Ruochen Liu, Xiangrong Zhang, Neng Yang, Qifeng Lei, Licheng Jiao:
Immunodomaince based Clonal Selection Clustering Algorithm. Appl. Soft Comput. 12(1): 302-312 (2012) - [j8]Yangyang Li, Hongzhu Shi, Licheng Jiao, Ruochen Liu:
Quantum evolutionary clustering algorithm based on watershed applied to SAR image segmentation. Neurocomputing 87: 90-98 (2012) - [j7]Ruochen Liu, Ping Zhang, Licheng Jiao, Yangyang Li:
Supervised immune clonal evolutionary classification algorithm for high-dimensional data. Neurocomputing 98: 123-134 (2012) - [j6]Ruochen Liu, Licheng Jiao, Xiangrong Zhang, Yangyang Li:
Gene transposon based clone selection algorithm for automatic clustering. Inf. Sci. 204: 1-22 (2012) - [j5]Yangyang Li, Rongrong Xiang, Licheng Jiao, Ruochen Liu:
An improved cooperative quantum-behaved particle swarm optimization. Soft Comput. 16(6): 1061-1069 (2012) - [c19]Yangyang Li, Jing Chen, Ruochen Liu, Jianshe Wu:
A spectral clustering-based adaptive hybrid multi-objective harmony search algorithm for community detection. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c18]Ruochen Liu, Yong Liu, Yangyang Li:
An improved method for multi-objective clustering ensemble algorithm. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c17]Ruochen Liu, Xiao Wang, Yangyang Li, Xiangrong Zhang:
Multi-objective Invasive Weed Optimization algortihm for clustering. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j4]Jing Liu, Jinshu Li, Weicai Zhong, Li Zhang, Ruochen Liu:
Minimum Span Frequency Assignment Based on a Multiagent Evolutionary Algorithm. Int. J. Swarm Intell. Res. 2(3): 29-42 (2011) - [c16]Yajuan Ma, Ruochen Liu, Ronghua Shang:
A Hybrid Dynamic Multi-objective Immune Optimization Algorithm Using Prediction Strategy and Improved Differential Evolution Crossover Operator. ICONIP (2) 2011: 435-444 - [c15]Yangyang Li, Bo Wu, Licheng Jiao, Ruochen Liu:
Memetic Algorithm with Double Mutation for Numerical Optimization. IScIDE 2011: 66-73 - [c14]Pei Wu, Ruochen Liu, Jingjing Ma, Yangyang Li:
An improved Michigan particle swarm optimization for classification. SWIS 2011: 23-29 - 2010
- [j3]Ruochen Liu, Licheng Jiao, Yangyang Li, Jing Liu:
An immune memory clonal algorithm for numerical and combinatorial optimization. Frontiers Comput. Sci. China 4(4): 536-559 (2010) - [c13]Licheng Jiao, Wei Zhang, Ruochen Liu, Fang Liu:
A hybrid multiobjective immune algorithm with region preference for decision makers. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c12]Ruochen Liu, Licheng Jiao, Wei Zhang, Jingjing Ma:
Clonal Selection Algorithm for Image Compression. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c11]Ruochen Liu, Zhengchun Sheng, Licheng Jiao, Wei Zhang:
Immunodomaince based clonal selection clustering algorithm. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c10]Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu:
A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation. CIVR 2010: 158-165 - [c9]Ruochen Liu, Wei Zhang, Licheng Jiao, Fang Liu, Jingjing Ma:
A sphere-dominance based preference immune-inspired algorithm for dynamic multi-objective optimization. GECCO 2010: 423-430 - [c8]Ruochen Liu, Hejun Ning, Wei Zhang, Licheng Jiao:
A clonal selection clustering algorithm using pointed symmetry-based distance measure. GECCO 2010: 1063-1064 - [c7]Ruochen Liu, Qifeng Lei, Jing Liu, Licheng Jiao:
A Population Diversity-Oriented Gene Expression Programming for Function Finding. SEAL 2010: 215-219 - [c6]Xinrui Duan, Jing Liu, Ruochen Liu, Licheng Jiao:
A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems. SEAL 2010: 553-557
2000 – 2009
- 2009
- [c5]Ruochen Liu, Yong Li, Wei Zhang, Licheng Jiao:
Stochastic ranking based differential evolution algorithm for constrained optimization problem. GEC Summit 2009: 887-890 - [c4]Ruochen Liu, Zhengchun Sheng, Licheng Jiao:
Gene transposon based clonal selection algorithm for clustering. GECCO 2009: 1251-1258 - 2007
- [c3]Ruochen Liu, Licheng Jiao:
Immune Clonal Strategy Based on the Adaptive Mean Mutation. LSMS (1) 2007: 108-116 - 2006
- [c2]Ruochen Liu, Li Chen, Shuang Wang:
Immune Clonal Strategies Based on Three Mutation Methods. ICNC (2) 2006: 114-121 - 2005
- [j2]Haifeng Du, Maoguo Gong, Ruochen Liu, Licheng Jiao:
Adaptive chaos clonal evolutionary programming algorithm. Sci. China Ser. F Inf. Sci. 48(5): 579-595 (2005) - [j1]Ruochen Liu, Licheng Jiao, Haifeng Du:
Clonal Strategy Algorithm Based on the Immune Memory. J. Comput. Sci. Technol. 20(5): 728-734 (2005) - 2004
- [c1]Haifeng Du, Licheng Jiao, Maoguo Gong, Ruochen Liu:
Adaptive Dynamic Clone Selection Algorithms. Rough Sets and Current Trends in Computing 2004: 768-773
Coauthor Index
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