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| 2012 | ||
|---|---|---|
| 56 | Cheng Zheng, Ling V. Sun, Xi Chen, Yan Shen, Peng Mao, Min Han: Enhancing light output of GaN-based light-emitting diodes with nanoparticle-assembled on-top layers. NEMS 2012: 376-379 | |
| 55 | Decai Li, Min Han, Jun Wang: Chaotic Time Series Prediction Based on a Novel Robust Echo State Network. IEEE Trans. Neural Netw. Learning Syst. 23(5): 787-799 (2012) | |
| 54 | Min Han, Xinrong Zhu, Wei Yao: Remote sensing image classification based on neural network ensemble algorithm. Neurocomputing 78(1): 133-138 (2012) | |
| 2011 | ||
| 53 | Min Han, Liwen Jiang: Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning. ISNN (3) 2011: 313-322 | |
| 52 | Min Han, Yao Zhao: Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine. Expert Syst. Appl. 38(12): 14786-14798 (2011) | |
| 51 | Min Han, Jianchao Fan, Jun Wang: A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control. IEEE Transactions on Neural Networks 22(9): 1457-1468 (2011) | |
| 50 | Min Han, Zhi-ping Liang, Decai Li: Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy. Neurocomputing 74(10): 1664-1672 (2011) | |
| 2010 | ||
| 49 | Shunli Zhang, Min Han, Weifeng Sun, Mingqiang Yang: Iris feature extraction and recognition based on Empirical mode decomposition. FSKD 2010: 2633-2636 | |
| 48 | Mingyan Li, Mingyan Jiang, Min Han, Mingqiang Yang: Iris recognition based on a novel multiresolution analysis framework. ICIP 2010: 4101-4104 | |
| 47 | Min Han, Yao Zhao: Robust relevance vector machine with noise variance coefficient. IJCNN 2010: 1-6 | |
| 46 | Min Han, Decai Li: Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection. ISNN (1) 2010: 413-421 | |
| 45 | Min Han, Dayun Mu: Multi-reservoir Echo State Network with Sparse Bayesian Learning. ISNN (1) 2010: 450-456 | |
| 44 | Min Han, Zhi-ping Liang: Probability Density Estimation Based on Nonparametric Local Kernel Regression. ISNN (1) 2010: 465-472 | |
| 43 | Min Han, Qiao Xu: Integrated optimization model for alloy addition of basic oxygen furnace based on Particle Swarm Optimization. SMC 2010: 4257-4262 | |
| 42 | Xiaoliang Tang, Min Han: Semi-supervised Bayesian ARTMAP. Appl. Intell. 33(3): 302-317 (2010) | |
| 41 | Wei Yao, Min Han, Shiguo Xu: Estimating the regional evapotranspiration in Zhalong wetland with the Two-Source Energy Balance (TSEB) model and Landsat7/ETM+ images. Ecological Informatics 5(5): 348-358 (2010) | |
| 40 | Xinzhe Wang, Min Han, Jun Wang: Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction. Eng. Appl. of AI 23(6): 1012-1018 (2010) | |
| 39 | Xiaoliang Tang, Min Han: Ternary reversible extreme learning machines: the incremental tri-training method for semi-supervised classification. Knowl. Inf. Syst. 23(3): 345-372 (2010) | |
| 38 | Sang-Jin Lee, Yong-Hyun Baek, Tae-Jong Baek, Min Han, Seok Gyu Choi, Dong-Sik Ko, Byoung-Chul Jeon, Jin Koo Rhee: Design and fabrication of 94 GHz MMIC single balanced resistive mixer without IF balun. Microelectronics Journal 41(10): 627-631 (2010) | |
| 2009 | ||
| 37 | Decai Li, Min Han: A Fast Two Stage Density Estimation Based on Extreme Learning Machine. IC-AI 2009: 357-361 | |
| 36 | Min Han, Jianchao Fan, Bing Han: An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization. IJCNN 2009: 1083-1089 | |
| 35 | Min Han, Yanan Wang: Nonlinear time series online prediction using reservoir kalman filter. IJCNN 2009: 1090-1094 | |
| 34 | Min Han, Wei Yao: A two-step Pansharpening of ETM+ TIR image based on SFIM and neural network regression. SMC 2009: 1371-1375 | |
| 33 | Min Han, Jianchao Fan: Delay Nonlinear System Predictive Control On MPSO+DNN. SMC 2009: 4309-4314 | |
| 32 | Min Han, Yunxia Liu: Noise reduction method for chaotic signals based on dual-wavelet and spatial correlation. Expert Syst. Appl. 36(6): 10060-10067 (2009) | |
| 31 | Xiaoliang Tang, Min Han: Partial Lanczos extreme learning machine for single-output regression problems. Neurocomputing 72(13-15): 3066-3076 (2009) | |
| 30 | Zhiwei Shi, Min Han: gamma-C plane and robustness in static reservoir for nonlinear regression estimation. Neurocomputing 72(7-9): 1732-1743 (2009) | |
| 29 | Jianchao Fan, Min Han, Jun Wang: Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation. Pattern Recognition 42(11): 2527-2540 (2009) | |
| 2008 | ||
| 28 | Huaijing Qu, Yuhua Peng, Honglin Wan, Min Han: Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning. ADMA 2008: 355-366 | |
| 27 | Min Han, Ru Wei, Decai Li: Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis. IJCNN 2008: 758-764 | |
| 26 | Min Han, Xinzhe Wang, Yijie Wang: Applying ICA on neural network to simplify BOF endpiont predicting model. IJCNN 2008: 771-776 | |
| 25 | Min Han, Jia Yin, Yang Li: The learning algorithm based on multiresolution analysis for neural networks. IJCNN 2008: 783-787 | |
| 24 | Min Han, Yannan Sun, Yingnan Fan: An improved fuzzy neural network based on T-S model. Expert Syst. Appl. 34(4): 2905-2920 (2008) | |
| 23 | Seok Gyu Choi, Young Hyun Baek, Jung Hun Oh, Min Han, Seok Ho Bang, Jin Koo Rhee: Studies on Modification of Channel Material and Gate Recess Structures in Metamorphic HEMT for Improvement of Breakdown and RF Characteristics. IEICE Transactions 91-C(5): 683-687 (2008) | |
| 22 | Min Han, Jia Yin: The hidden neurons selection of the wavelet networks using support vector machines and ridge regression. Neurocomputing 72(1-3): 471-479 (2008) | |
| 21 | Ling V. Sun, Ke Jin, Yiming Liu, Wenwei Yang, Xing Xie, Lin Ye, Li Wang, Lin Zhu, Sheng Ding, Yi Su, Jie Zhou, Min Han, Yuan Zhuang, Tian Xu, Xiaohui Wu, Ning Gu, Yang Zhong: PBmice: an integrated database system of piggyBac (PB) insertional mutations and their characterizations in mice. Nucleic Acids Research 36(Database-Issue): 729-734 (2008) | |
| 2007 | ||
| 20 | Jie Dong, Min Han: IFCIA: An Efficient Algorithm for Mining Intertransaction Frequent Closed Itemsets. FSKD (2) 2007: 678-682 | |
| 19 | Min Han, Ru Wei: Variable Selection for Multivariate Time Series Prediction with Neural Networks. ICONIP (1) 2007: 415-425 | |
| 18 | Min Han, Wei Guo, Yunfeng Mu: A Modified RBF Neural Network in Pattern Recognition. IJCNN 2007: 2527-2532 | |
| 17 | Min Han, Jia Yin: Orthogonal Least Squares Based on QR Decomposition for Wavelet Networks. ISNN (2) 2007: 569-574 | |
| 16 | Zhiwei Shi, Min Han: Support Vector Echo-State Machine for Chaotic Time-Series Prediction. IEEE Transactions on Neural Networks 18(2): 359-372 (2007) | |
| 15 | Jie Dong, Min Han: BitTableFI: An efficient mining frequent itemsets algorithm. Knowl.-Based Syst. 20(4): 329-335 (2007) | |
| 2006 | ||
| 14 | Min Han, Wei Guo, Mingming Fan: Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network. ISNN (2) 2006: 741-746 | |
| 13 | Bing Han, Min Han: Predictive Control Method of Improved Double-Controller Scheme Based on Neural Networks. ISNN (2) 2006: 949-955 | |
| 12 | Jianhui Xi, Min Han: Reduction of the Multivariate Input Dimension Using Principal Component Analysis. PRICAI 2006: 1047-1051 | |
| 11 | Robert J. C. Bultitude, Min Han, Nikhil V. Adnani, Roshdy H. M. Hafez: Comparison of Expected Performance on B3G Spread Spectrum Mobile Radio Links at 1.9 and 5.8 GHz Based on Propagation Measurements. VTC Fall 2006: 1-4 | |
| 10 | Min Han, Bing Han, Jianhui Xi, Kotaro Hirasawa: Universal learning network and its application for nonlinear system with long time delay. Computers & Chemical Engineering 31(1): 13-20 (2006) | |
| 2005 | ||
| 9 | Min Han, Yuhua Liu, Jianhui Xi, Zhiwei Shi: A Systematic Chaotic Noise Reduction Method Combining with Neural Network. ISNN (2) 2005: 580-585 | |
| 8 | Min Han, Mingming Fan, Jianhui Xi: Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks. ISNN (2) 2005: 618-623 | |
| 2004 | ||
| 7 | Min Han, Zhiwei Shi, Wei Wang: Modeling Dynamic System by Recurrent Neural Network with State Variables. ISNN (2) 2004: 200-205 | |
| 6 | Min Han, Xue Tian, Shiguo Xu: Research on Neural Network Method in GPS Data Transformation. ISNN (2) 2004: 713-718 | |
| 5 | Min Han, Jianhui Xi, Shiguo Xu, Fu-Liang Yin: Prediction of chaotic time series based on the recurrent predictor neural network. IEEE Transactions on Signal Processing 52(12): 3409-3416 (2004) | |
| 4 | Min Han, Myung-Sik Son, Jung Hun Oh, Bok-Hyung Lee, Mi-Ra Kim, Sam-Dong Kim, Jin Koo Rhee: Optimization of sub-0.1-mum offset Gamma-shaped gate MHEMTs for millimeter-wave applications. Microelectronics Journal 35(12): 973-983 (2004) | |
| 3 | Min Han, Jianhui Xi: Efficient clustering of radial basis perceptron neural network for pattern recognition. Pattern Recognition 37(10): 2059-2067 (2004) | |
| 2003 | ||
| 2 | Min Han, Lei Cheng, Hua Meng: Application of four-layer neural network on information extraction. Neural Networks 16(5-6): 547-553 (2003) | |
| 2001 | ||
| 1 | Kotaro Hirasawa, Sung-ho Kim, Jinglu Hu, Junichi Murata, Min Han, Chunzhi Jin: Improvement of generalization ability for identifying dynamical systems by using universal learning networks. Neural Networks 14(10): 1389-1404 (2001) | |
Colors in the list of coauthors
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