|
PUBLICATION:
[1]. Jingwei Liu, QianSheng Cheng, ZhongGuo Zheng, Minping Qian. A DTW-based probability model for speaker feature analysis and data mining. PATTERN RECOGNITION LETTER 23 (11): 1271-1276 SEP 2002.（Elsevier）(SCI,EI)
[2]. Jingwei Liu, Qiansheng Cheng.Dynamic Programming Based Gene Chip Recognition. Acta Scientiarum Naturalium, Universitatis Pekinensis.Vol.38, No.5, 611-615, 2002. (Chinese) (CA 、SA)
[3]. Jingwei Liu, Qiansheng Cheng. AR-Model-Based Gene Chip Recognition. Journal of Biomathematics (China). 18(3): 328-332,2003. (Chinese)
[4]. Jingwei Liu. A DTW-Based DAG Technique for Speech and Speaker Feature Analysis. EUROSPEECH 2003. September 1-4, 2003 – Geneva, Switzerland. (English)
[5]. Jingwei Liu. Research on Channel, Noise and Speaker Adaptation. The 7th National Conference on Human Machine Speech Communication. Xiamen ,China. pp143-148. Nov. 2003. (Chinese)
[6]. Liu Jingwei, Wang Zuoying, Xiao Xi. Combination of One-class SVM and HMM for Robust Speech Recognition in Additive Noise Environment. High Technology Letters (supplement). vol 10 Sppl. 85-90,2004.(English)
[7]. Jingwei Liu, Meizhi Xu, Zhongguo Zheng, Qiansheng Cheng. DTW-based feature selection for speech and speaker recognition. Pattern Recognition and Artificial Intelligence. No.1, 50-54, 2005. (Chinese) (EI)
[8]. Liu Jingwei,Wang Zuoying, Xiao Xi. Autoregressive model-based robust speech recognition in additive noise environment.Journal of Tsinghua University(Science & Technology), 46(1):50-53,2006.(EI) (Chinese)
[9]. Liu Jingwei, Xiao Xi.Research and Prospect on Robustness Technology in Real-environment Speech Recognition. Computer Engineering and Applications. 42(24):7-12,2006. (Chinese)
[10]. Jingwei Liu, Zuoying Wang, Xi Xiao. A Hybrid SVM/DDBHMM Decision Fusion Modelling for Robust Continuous Digital Speech Recognition. PATTERN RECOGNITION LETTER . 2007 ,28(8): 912-920.(SCI,EI)
[11]. Liu Jingwei,Wang Zuoying. Adaptive Training One-Class SVM/HMM Combination Model for Noise-Robust Speech Recognition. NCSP'07, 409-412, 2007.3.
[12]. Liu Jingwei,Xu Meizhi. Bezdek type fuzzy attribute C-means clustering algorithm. Journal of Beijing University of Aeronautics and Astronautics. 33(9): 1121--1126, 2007.(EI) (Chinese)
[13]. Liu Jingwei. The Statistical Properties of Parameters and Implied Volatility from European Power Function Call Option. Application of Statistics and Management. 26(6): 1019-1026. 2007. (Chinese)
[14]. Liu Jingwei, Hu Yubiao, Wang Xiaoling, Xu Meizhi. Novel Nonlinear Least Square Parameter Estimation Method for Jelinski-Moranda Model. 20(18):4791-4794 ,2008. (EI) (Chinese)
[15]. Liu Jingwei,Li Cen,Hou Shuai. Image Segmentation Using Parallel Fusion Method Based on Level Set. Computer Engineering and Applications. 44(16):160-162,2008. (Chinese)
[16]. Jingwei Liu，Meizhi Xu. Kernelized Fuzzy Attribute Means Clustering Algorithm. Fuzzy sets and systems. 159(18): 2428-2445.2008.(SCI,EI)
[17]. LIU Jing wei. Pricing European Power-function Option Under Exponential Ornstein-Uhlenbeck Process and Vasicěk Interest Rate with Martingale Method. MATHEMATICS IN PRACTICE AND THEORY.39(1):31-39,2009. (Chinese)
[18]. Jingwei Liu, Minghua Deng, Minping Qian. Feature--based Causal Structure Discovery in Protein and Gene Expression Data with Bayesian Network. ICNC09,144-148. (EI/ISTP)
[19]. Jingwei Liu. Quanto European Power-Function Options Pricing with Martingales Method and Hedging. MATHEMATICS IN PRACTICE AND THEORY. 2010,40(14):1-8.. (Chinese)
[20]. Jingwei Liu, Minping Qian.Protein function prediction using Kernel Logistic Regression with ROC Curves. ICBSSP 2010. 139-143. Communications in Computer and Information Science, 2011, 234:491-502. (EI)
[21]. Jingwei Liu.Mathematical Intuition Training in Advanced Algebra Teaching. Journal of Beijing University of Aeronautics and Astronautics (Social Sciences Edition). 2012，25(2):116-120.
[22]. Jingwei Liu, Meizhi Xu. Function Based Nonlinear Least Squares and Application to Jelinski--Moranda Software Reliability Model. 2010. http://arxiv.org/abs/1108.5185 2011.
[23]. Jingwei Liu,Shuang Hu, Confounding of three binary-variables counterfactual model. http://arxiv.org/abs/1108.1497 . 2011.
Jingwei Liu,Shuang Hu, Confounding of three binary-variables counterfactual model with DAG. Applied Mathematics. 2013. 4 (10):1397-1404. DOI: 10.4236/am.2013.410189.
[24]. Kang Jin , Liu Jing-wei. Prediction Results Comparison of Non-parametric regression estimation with Neural Network. Statistics and Decision. 23: 153-155,2009. (Chinese)
[25]. Jingwei Liu, Shuang Hu, Jin Kang, Jiwen Luo. Kernel Function Selection of Nonparametric Estimation of Backward Stochastic Differential Equation. Statistics & Information Forum. 2011,26(11):8-11. . (Chinese)
[27] Jingwei Liu. The Proof of Cramer's Rule with Matrix and Its Application in Linear Algebra Teaching System. 2012. (will appear). 2013 3rd Teaching Seminars on Higher Education Science and Engineering Courses (HESEC2013). Dec. 28-29.2013. Harbin, China.
Manuscript (submitted)
[1]. Liu Jingwei. The Extension of Three-Variable Counterfactual Casual Graphic Model :from Two-Value to Three-Value Random Variable. 2008. Revision. (Chinese) also http://arxiv.org/ 2012.
[2] Jingwei Liu, Meizhi Xu. Penalty Constraints and Kernelization of M-Estimation Based Fuzzy C--Means. 2010. 2012 submitted. http://arxiv.org/ 2012
[3]. LIU Jingwei，LUO Jiwen，HU Shuang, Chen Xing. Pricing of European Basket Call Options under Exponential Ornstein–Uhlenbeck Process. Submitted 2010.9. (Chinese)
[4] Jingwei Liu. Protein Function Prediction Based on Kernel Logistic Regression with 2-order Graphic Neighbor Information. http://arxiv.org/ 2012
[5] Jingwei Liu. Inequality for Variance of Weighted Sum of Correlated Random Variables. 2012
etc.
| 
