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Ruochen Liu
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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) - [c42]Haoyuan Lv, Ruochen Liu, Handing Wang:
Multi-Population Evolutionary Algorithm via Seed Transfer for Multitasking Traveling Salesman Problem. CEC 2024: 1-8 - [c41]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 - [c40]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 - [c39]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 - [i9]Xueyu Du, Lilian Zhang, Ruochen Liu, Maosong Wang, Wenqi Wu, Jun Mao:
PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory. CoRR abs/2407.01888 (2024) - [i8]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) - [i7]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) - [i6]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) - [i5]Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang:
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. CoRR abs/2410.09132 (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) - [c38]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 - [c37]Xilong Zhang, Ruochen Liu, Jin Liu, Xuefeng Liang:
Interpreting Positional Information in Perspective of Word Order. ACL (1) 2023: 9600-9613 - [c36]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 - [c35]Qi Guo, Jinwei Zhang, Yong Chen, Ruochen Liu:
Multivariate Time Series Anomaly Detection in a Regularization Perspective. ICCAI 2023: 279-287 - [c34]Shuang Li, Xianglong Luo, Jiayu Yang, Zhongcheng Xu, Ruochen Liu:
Traffic Flow Data Imputation Based on Feature Fusion Attention Imputation Network. ICITE 2023: 66-71 - [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]