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2020 – today
- 2024
[j94]Fufeng Chen
, Mingjun Xue, Yutao Qiu, Lingang Yang, Qi Chen, Chunlin Yu, Liming Yang, Lei Zou:
Multi-Terminal Wireless Differential Protection Method for Offshore Wind Power Collection Lines. IEEE Access 12: 58789-58800 (2024)- [j93]Yang Xiao, Liming Yang, C. Shu, H. Dong, Y. J. Du, Y. X. Song:
Least-square finite difference-based physics-informed neural network for steady incompressible flows. Comput. Math. Appl. 175: 33-48 (2024) - [j92]Min Zhang, Yifeng Zhao, Liming Yang:
Robust twin support vector regression with correntropy-based metric. Multim. Tools Appl. 83(15): 45443-45469 (2024) - [c19]Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan:
History Matters: Temporal Knowledge Editing in Large Language Model. AAAI 2024: 19413-19421 - [c18]Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Mengwei Xu, Xuanzhe Liu:
WiP: Efficient LLM Prefilling with Mobile NPU. EdgeFM@MobiSys 2024: 33-35 - [i4]Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Gang Huang, Mengwei Xu, Xuanzhe Liu:
Empowering 1000 tokens/second on-device LLM prefilling with mllm-NPU. CoRR abs/2407.05858 (2024) - 2023
- [j91]Yanan Wu, Qianqian Qi, Shouliang Qi, Liming Yang, Hanlin Wang, Hui Yu, Jianpeng Li, Gang Wang, Ping Zhang, Zhenyu Liang, Rongchang Chen:
Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans. Comput. Biol. Medicine 154: 106567 (2023) - [j90]Zhen Chen, Liangqi Zhang, Liming Yang:
Kinetic Theory-Based Methods in Fluid Dynamics. Entropy 25(2): 255 (2023) - [j89]Linchang Han, Liming Yang, Zhihui Li, Jie Wu, Yinjie Du, Xiang Shen:
Unlocking the Key to Accelerating Convergence in the Discrete Velocity Method for Flows in the Near Continuous/Continuous Flow Regimes. Entropy 25(12): 1609 (2023) - [j88]Qinqin Liu, Liming Yang, Zhuming Shi, Jiaqi Yu, Huaxin Si, Yaru Jin, Yanhui Bian, Yanyan Li, Lili Ji, Xiaoxia Qiao, Wenyu Wang, Hongpeng Liu, Ming Zhang, Cuili Wang:
Development and validation of a preliminary clinical support system for measuring the probability of incident 2-year (pre)frailty among community-dwelling older adults: A prospective cohort study. Int. J. Medical Informatics 177: 105138 (2023) - [j87]Chao Yuan, Liming Yang:
An efficient multi-metric learning method by partitioning the metric space. Neurocomputing 529: 56-79 (2023) - [j86]Liming Yang, Honglin Hu, Ting Zhou, Tianheng Xu:
Joint coded caching and BS sleeping strategy to reduce energy consumption in 6G edge networks. Internet Things 24: 100915 (2023) - [j85]Guangsheng Ding, Liming Yang:
Asymmetric kernel-based robust classification by ADMM. Knowl. Inf. Syst. 65(1): 89-110 (2023) - [j84]Yifeng Zhao, Liming Yang:
Distance metric learning based on the class center and nearest neighbor relationship. Neural Networks 164: 631-644 (2023) - [j83]Yifeng Zhao, Liming Yang:
A multi-metric small sphere large margin method for classification. Pattern Anal. Appl. 26(4): 1615-1629 (2023) - [j82]Zhangwen Su, Lin Lin, Zhenhui Xu, Yimin Chen, Liming Yang, Honghao Hu, Zipeng Lin, Shujing Wei, Sisheng Luo:
Modeling the Effects of Drivers on PM2.5 in the Yangtze River Delta with Geographically Weighted Random Forest. Remote. Sens. 15(15): 3826 (2023) - [j81]Liming Yang, Honglin Hu, Mingqi Li:
A Distributed Caching Approach for Minimizing Average Transmission Delay in Ultra-Dense Networks. IEEE Trans. Veh. Technol. 72(8): 11041-11046 (2023) - [c17]Weiwei Ma, Jian Zhao, Jian Yu, Hui Hui, Yang Zhao, Tao Yan, Ming Gao, Liming Yang:
Division of Home Micro-grid Group in the Low Voltage Distribution System based on Reliability. iSPEC 2023: 1-4 - [i3]Shitou Zhang, Zuchao Li, Xingshen Liu, Liming Yang, Ping Wang:
ArcMMLU: A Library and Information Science Benchmark for Large Language Models. CoRR abs/2311.18658 (2023) - [i2]Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan:
History Matters: Temporal Knowledge Editing in Large Language Model. CoRR abs/2312.05497 (2023) - 2022
- [j80]Qiangqiang Ren, Liming Yang:
A robust projection twin support vector machine with a generalized correntropy-based loss. Appl. Intell. 52(2): 2154-2170 (2022) - [j79]Ping Sun, Liming Yang:
Generalized eigenvalue extreme learning machine for classification. Appl. Intell. 52(6): 6662-6691 (2022) - [j78]Min Zhang, Liming Yang, Chao Yuan, Qiangqiang Ren:
Multi-metric learning by a pair of twin-metric learning framework. Appl. Intell. 52(15): 17490-17507 (2022) - [j77]Qianqian Qi, Shouliang Qi, Yanan Wu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu:
Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images. Comput. Biol. Medicine 141: 105182 (2022) - [j76]Chao Ma, Jie Wu, Haichuan Yu, Liming Yang:
A high-order implicit-explicit flux reconstruction lattice Boltzmann method for viscous incompressible flows. Comput. Math. Appl. 105: 13-28 (2022) - [j75]Xiang Zhao, Liming Yang, Chang Shu:
An implicit lattice Boltzmann flux solver for simulation of compressible flows. Comput. Math. Appl. 107: 82-94 (2022) - [j74]Qiangqiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang:
A novel metric learning framework by exploiting global and local information. Neurocomputing 507: 84-96 (2022) - [j73]Jinhua Lu, Haiyan Lei, Chuanshan Dai, Liming Yang, Chang Shu:
Analyses and reconstruction of the lattice Boltzmann flux solver. J. Comput. Phys. 453: 110923 (2022) - [j72]Y. Y. Liu, Liming Yang, Chang Shu, Z. L. Zhang, Z. Y. Yuan:
An implicit high-order radial basis function-based differential quadrature-finite volume method on unstructured grids to simulate incompressible flows with heat transfer. J. Comput. Phys. 467: 111461 (2022) - [j71]Ping Sun, Liming Yang:
Low-rank supervised and semi-supervised multi-metric learning for classification. Knowl. Based Syst. 236: 107787 (2022) - [j70]Chao Yuan, Liming Yang:
Large margin projection-based multi-metric learning for classification. Knowl. Based Syst. 243: 108481 (2022) - [j69]Yidan Wang, Liming Yang:
Joint learning adaptive metric and optimal classification hyperplane. Neural Networks 148: 111-120 (2022) - [j68]Qiangqiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang:
A multi-birth metric learning framework based on binary constraints. Neural Networks 154: 165-178 (2022) - [j67]Xue Wang, Liming Yang:
Laplacian Generalized Eigenvalues Extreme Learning Machine. Neural Process. Lett. 54(1): 467-499 (2022) - [j66]Liming Yang, Yihang Yang, Jinghui Yang, Ningyuan Zhao, Ling Wu, Liguo Wang, Tianrui Wang:
FusionNet: A Convolution-Transformer Fusion Network for Hyperspectral Image Classification. Remote. Sens. 14(16): 4066 (2022) - [j65]Yidan Wang, Chao Yuan, Liming Yang:
Robust metric learning based on subspace learning with lp-norm. Signal Process. 192: 108386 (2022) - [j64]Yang Xiao, Liming Yang, Haizhuan Yuan, Chang Shu:
A Hybrid Multilayer Perceptron-Radial Basis Function (HMLP-RBF) Neural Network for Solving Hyperbolic Conservation Laws. SN Comput. Sci. 3(6): 490 (2022) - 2021
- [j63]Hongwei Dong, Liming Yang, Xue Wang:
Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions. Appl. Intell. 51(2): 819-833 (2021) - [j62]Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang, Liming Yang, Renzhi Cao:
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings Bioinform. 22(6) (2021) - [j61]Shouliang Qi, Caiwen Xu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu:
DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images. Comput. Methods Programs Biomed. 211: 106406 (2021) - [j60]Chao Yuan, Liming Yang, Ping Sun:
Correntropy-based metric for robust twin support vector machine. Inf. Sci. 545: 82-101 (2021) - [j59]Liming Yang, Xiang Zhao, Chang Shu, Y. J. Du:
Parametric reduced order modeling-based discrete velocity method for simulation of steady rarefied flows. J. Comput. Phys. 430: 110037 (2021) - [j58]Xiang Zhao, Zhen Chen, Liming Yang, Ningyu Liu, Chang Shu:
Efficient boundary condition-enforced immersed boundary method for incompressible flows with moving boundaries. J. Comput. Phys. 441: 110425 (2021) - [j57]Hongwei Dong, Liming Yang:
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares. Knowl. Inf. Syst. 63(5): 1149-1172 (2021) - [j56]Jun Ma, Liming Yang, Qun Sun:
Adaptive robust learning framework for twin support vector machine classification. Knowl. Based Syst. 211: 106536 (2021) - [j55]Chao Yuan, Liming Yang:
Robust twin extreme learning machines with correntropy-based metric. Knowl. Based Syst. 214: 106707 (2021) - [j54]Chao Yuan, Liming Yang:
Capped L2, p-norm metric based robust least squares twin support vector machine for pattern classification. Neural Networks 142: 457-478 (2021) - [j53]Jun Ma, Liming Yang:
Robust supervised and semi-supervised twin extreme learning machines for pattern classification. Signal Process. 180: 107861 (2021) - [c16]Yu Wang, Liming Yang, Zhuo Qing:
XRDI: A Database of X-Ray Dangerous Items. CAIBDA 2021: 254-258 - [c15]Ruihong Chi, Yifei Wang, Liming Yang, Liping Zhang:
An Exploration on Teaching Practice System Reform of the Course "Civil Aviation Cabin Rescue" for Flight Attendant Students. CIPAE 2021: 1379-1382 - [c14]Liming Yang, Yi Ren, Jianbo Guan, Bao Li, Jun Ma, Peng Han, Yusong Tan:
FastDCF: A Partial Index Based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories. PDCAT 2021: 210-222 - 2020
- [j52]Shibo Jing, Yidan Wang, Liming Yang:
Selective ensemble of uncertain extreme learning machine for pattern classification with missing features. Artif. Intell. Rev. 53(8): 5881-5905 (2020) - [j51]Yakun Wen, Jun Ma, Chao Yuan, Liming Yang:
Projection multi-birth support vector machinea for multi-classification. Appl. Intell. 50(10): 3040-3056 (2020) - [j50]Jun Ma, Liming Yang, Qun Sun:
Capped L1-norm distance metric-based fast robust twin bounded support vector machine. Neurocomputing 412: 295-311 (2020) - [j49]Qingfeng Jing, Huaxia Wang, Liming Yang:
Study on Fast-Changing Mixed-Modulation Recognition Based on Neural Network Algorithms. KSII Trans. Internet Inf. Syst. 14(12): 4664-4681 (2020) - [j48]Yuanyuan Liu, Chang Shu, H. W. Zhang, Liming Yang:
A high order least square-based finite difference-finite volume method with lattice Boltzmann flux solver for simulation of incompressible flows on unstructured grids. J. Comput. Phys. 401 (2020) - [j47]L. Q. Zhang, Zhen Chen, Liming Yang, Chang Shu:
Double distribution function-based discrete gas kinetic scheme for viscous incompressible and compressible flows. J. Comput. Phys. 412: 109428 (2020) - [j46]Zijian Liu, Chang Shu, Shiyi Chen, Liming Yang, Minping Wan, W. Liu:
A novel solver for simulation of flows from continuum regime to rarefied regime at moderate Knudsen number. J. Comput. Phys. 415: 109548 (2020) - [j45]Hongwei Dong, Liming Yang:
Training robust support vector regression machines for more general noise. J. Intell. Fuzzy Syst. 39(3): 2881-2892 (2020) - [j44]Jieya Li, Liming Yang:
Robust sparse principal component analysis by DC programming algorithm. J. Intell. Fuzzy Syst. 39(3): 3183-3193 (2020) - [j43]Jun Ma, Yakun Wen, Liming Yang:
Fisher-regularized supervised and semi-supervised extreme learning machine. Knowl. Inf. Syst. 62(10): 3995-4027 (2020) - [j42]Jun Ma, Liming Yang, Yakun Wen, Qun Sun:
Twin minimax probability extreme learning machine for pattern recognition. Knowl. Based Syst. 187 (2020) - [j41]Liming Yang, Guangsheng Ding, Chao Yuan, Min Zhang:
Robust regression framework with asymmetrically analogous to correntropy-induced loss. Knowl. Based Syst. 191: 105211 (2020) - [j40]Liming Yang, Yakun Wen, Min Zhang, Xue Wang:
Twin minimax probability machine for pattern classification. Neural Networks 131: 201-214 (2020) - [j39]Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang:
Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain. Sensors 20(6): 1729 (2020) - [j38]Shibo Jing, Liming Yang:
A robust extreme learning machine framework for uncertain data classification. J. Supercomput. 76(4): 2390-2416 (2020)
2010 – 2019
- 2019
- [j37]Jun Ma, Yakun Wen, Liming Yang:
Lagrangian supervised and semi-supervised extreme learning machine. Appl. Intell. 49(2): 303-318 (2019) - [j36]Liming Yang, Hongwei Dong:
Robust support vector machine with generalized quantile loss for classification and regression. Appl. Soft Comput. 81 (2019) - [j35]Liming Yang, Boyan Yang, Shibo Jing, Qun Sun:
A minimax probability extreme machine framework and its application in pattern recognition. Eng. Appl. Artif. Intell. 81: 260-269 (2019) - [j34]Yidan Wang, Liming Yang:
A robust loss function for classification with imbalanced datasets. Neurocomputing 331: 40-49 (2019) - [j33]Yidan Wang, Liming Yang, Qiangqiang Ren:
A robust classification framework with mixture correntropy. Inf. Sci. 491: 306-318 (2019) - [j32]Liming Yang, Chang Shu, W. M. Yang, Jie Wu:
An improved three-dimensional implicit discrete velocity method on unstructured meshes for all Knudsen number flows. J. Comput. Phys. 396: 738-760 (2019) - [j31]Shibo Jing, Junyu Yang, Liming Yang, Min Zhang:
Arbitrary norm semi-supervised extreme learning machine. J. Intell. Fuzzy Syst. 37(1): 835-845 (2019) - [j30]Xiaobing Zhang, Xuebin Yu, Qingquan Bao, Liming Yang, Yu Sun, Peng Qi:
Multimodal neuroimaging study reveals dissociable processes between structural and functional networks in patients with subacute intracerebral hemorrhage. Medical Biol. Eng. Comput. 57(6): 1285-1295 (2019) - [j29]Yidan Wang, Liming Yang, Chao Yuan:
A robust outlier control framework for classification designed with family of homotopy loss function. Neural Networks 112: 41-53 (2019) - [j28]Zhuo Ren, Liming Yang:
Robust Extreme Learning Machines with Different Loss Functions. Neural Process. Lett. 49(3): 1543-1565 (2019) - [i1]Hongwei Dong, Liming Yang:
Iteratively reweighted least squares for robust regression via SVM and ELM. CoRR abs/1903.11202 (2019) - 2018
- [j27]Dongmei Lin, Aihua Zhang, Jason Gu, Xiaolei Chen, Qi Wang, Liming Yang, Yongxin Chou, Gongcai Liu, Jingyang Wang:
Detection of multipoint pulse waves and dynamic 3D pulse shape of the radial artery based on binocular vision theory. Comput. Methods Programs Biomed. 155: 61-73 (2018) - [j26]Zhuo Ren, Liming Yang:
Correntropy-based robust extreme learning machine for classification. Neurocomputing 313: 74-84 (2018) - [j25]Tingting Zhang, Wensong Wei, Bin Zhao, Ranran Wang, Mingliu Li, Liming Yang, Jianhua Wang, Qun Sun:
A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds. Sensors 18(3): 813 (2018) - [j24]Hao Dong, Shicheng Liu, Liming Yang, Jiangbo Peng, Keming Cheng:
Optical Fiber Displacement Sensor Based on Microwave Photonics Interferometry. Sensors 18(11): 3702 (2018) - [c13]Zhuxuan Meng, Liming Yang, Donghui Wang, Chang Shu, Weihua Zhang:
Circular Function-Based Gas-Kinetic Scheme for Simulation of Viscous Compressible Flows. ICCS (3) 2018: 37-47 - 2017
- [j23]Liming Yang, Siyun Zhang:
A smooth extreme learning machine framework. J. Intell. Fuzzy Syst. 33(6): 3373-3381 (2017) - [j22]Liming Yang, Zhuo Ren, Yidan Wang, Hongwei Dong:
A Robust Regression Framework with Laplace Kernel-Induced Loss. Neural Comput. 29(11) (2017) - 2016
- [j21]Liming Yang, Yannan Qian:
A sparse logistic regression framework by difference of convex functions programming. Appl. Intell. 45(2): 241-254 (2016) - [j20]Liming Yang, Chang Shu, Jie Wu:
Extension of lattice Boltzmann flux solver for simulation of 3D viscous compressible flows. Comput. Math. Appl. 71(10): 2069-2081 (2016) - [j19]Liming Yang, Siyun Zhang:
A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition. Eng. Appl. Artif. Intell. 53: 176-189 (2016) - [j18]Yu Wang, Chang Shu, Liming Yang:
Boundary condition-enforced immersed boundary-lattice Boltzmann flux solver for thermal flows with Neumann boundary conditions. J. Comput. Phys. 306: 237-252 (2016) - [j17]Liming Yang, Chang Shu, Jie Wu, Y. Wang:
Numerical simulation of flows from free molecular regime to continuum regime by a DVM with streaming and collision processes. J. Comput. Phys. 306: 291-310 (2016) - [j16]Liming Yang, Chang Shu, Yan Wang, Y. Sun:
Development of discrete gas kinetic scheme for simulation of 3D viscous incompressible and compressible flows. J. Comput. Phys. 319: 129-144 (2016) - [j15]Liming Yang, Wei Zhang, Wenqing Liu, Yunfang Chen:
An intuitionistic fuzzy method for social network prediction problems. J. Intell. Fuzzy Syst. 31(6): 3131-3142 (2016) - [c12]Liming Yang, Hideaki Uchiyama, Jean-Marie Normand, Guillaume Moreau, Hajime Nagahara, Rin-Ichiro Taniguchi:
Real-Time Surface of Revolution Reconstruction on Dense SLAM. 3DV 2016: 28-36 - [c11]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Practical and Precise Projector-Camera Calibration. ISMAR 2016: 63-70 - 2015
- [j14]Yan Wang, Liming Yang, Chang Shu:
From Lattice Boltzmann Method to Lattice Boltzmann Flux Solver. Entropy 17(11): 7713-7735 (2015) - [j13]Liming Yang, Chang Shu, Jie Wu:
A three-dimensional explicit sphere function-based gas-kinetic flux solver for simulation of inviscid compressible flows. J. Comput. Phys. 295: 322-339 (2015) - [j12]Y. Sun, Chang Shu, Chiang Juay Teo, Yan Wang, Liming Yang:
Explicit formulations of gas-kinetic flux solver for simulation of incompressible and compressible viscous flows. J. Comput. Phys. 300: 492-519 (2015) - [j11]Yu Wang, Chang Shu, Liming Yang:
An improved multiphase lattice Boltzmann flux solver for three-dimensional flows with large density ratio and high Reynolds number. J. Comput. Phys. 302: 41-58 (2015) - [j10]Liming Yang, Wei Zhang, Yunfang Chen:
Time-series prediction based on global fuzzy measure in social networks. Frontiers Inf. Technol. Electron. Eng. 16(10): 805-816 (2015) - [j9]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Local Geometric Consensus: A General Purpose Point Pattern-Based Tracking Algorithm. IEEE Trans. Vis. Comput. Graph. 21(11): 1299-1308 (2015) - [c10]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Augmenting off-the-shelf paper maps using intersection detection and geographical information systems. MVA 2015: 190-193 - [c9]Wenqing Liu, Liming Yang, Wei Zhang:
Modelling Binary Oriented Software Buffer-Overflow Vulnerability in Process Algebra. PAAP 2015: 20-25 - 2014
- [j8]Liming Yang, Laisheng Wang, Yongping Gao, Qun Sun, Tengyang Zhao:
A convex relaxation framework for a class of semi-supervised learning methods and its application in pattern recognition. Eng. Appl. Artif. Intell. 35: 335-344 (2014) - [j7]Liming Yang, Ribo Ju:
A DC programming approach for feature selection in the Minimax Probability Machine. Int. J. Comput. Intell. Syst. 7(1): 12-24 (2014) - [j6]Liming Yang, Chang Shu, Jie Wu:
A simple distribution function-based gas-kinetic scheme for simulation of viscous incompressible and compressible flows. J. Comput. Phys. 274: 611-632 (2014) - [c8]Liming Yang, Jean-Marie Normand, Guillaume Moreau:
Robust random dot markers: towards augmented unprepared maps with pure geographic features. VRST 2014: 45-54 - 2013
- [j5]Liming Yang, Laisheng Wang:
A class of semi-supervised support vector machines by DC programming. Adv. Data Anal. Classif. 7(4): 417-433 (2013) - [j4]Liming Yang, Chang Shu, Jie Wu, N. Zhao, Z. L. Lu:
Circular function-based gas-kinetic scheme for simulation of inviscid compressible flows. J. Comput. Phys. 255: 540-557 (2013) - [j3]Liming Yang, Laisheng Wang:
A class of smooth semi-supervised SVM by difference of convex functions programming and algorithm. Knowl. Based Syst. 41: 1-7 (2013) - 2012
- [c7]Wencheng Wang, Liming Yang, Dongxu Wang:
Finding canonical views by measuring features on the viewing plane. APSIPA 2012: 1-7 - [c6]Tsozen Yeh, Liming Yang:
Using Prioritized Disk Service to Expedite Program Execution. HPCC-ICESS 2012: 1027-1032 - 2010
- [j2]Liming Yang, Laisheng Wang, Yuhua Sun, Ruiyan Zhang:
Simultaneous feature selection and classification via Minimax Probability Machine. Int. J. Comput. Intell. Syst. 3(6): 754-760 (2010)
2000 – 2009
- 2009
- [c5]Liming Yang, Laisheng Wang, Yitian Xu, Qun Sun:
Time Series Prediction Based on Generalization Bounds for Support Vector Machine. ISNN (2) 2009: 322-326 - [c4]Yitian Xu, Ling Zhen, Liming Yang, Laisheng Wang:
Classification Algorithm Based on Feature Selection and Samples Selection. ISNN (2) 2009: 631-638 - 2007
- [c3]Guanzheng Tan, Bin Jiang, Liming Yang:
A Novel Immune Genetic Algorithm-Based PID Controller Design and Its Application to CIP-I Intelligent Leg. ICNC (4) 2007: 282-286 - [c2]Liming Yang, Laisheng Wang:
Simultaneous Feature Selection and Classification via Semi-Supervised Models. ICNC (1) 2007: 646-650 - [c1]Zhijie Xu, Laisheng Wang, Liming Yang:
A Simulated Annealing and 2DPCA Based Method for Face Recognition. SITIS 2007: 777-782 - 2003
- [j1]Dan Shi, Hongjian Zhang, Liming Yang:
Time-delay neural network for the prediction of carbonation tower's temperature. IEEE Trans. Instrum. Meas. 52(4): 1125-1128 (2003)
Coauthor Index
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