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2020 – today
- 2024
[j99]Xi Xi, Jianyu Zhao, Lean Yu
, Ce Wang:
Exploring the potentials of artificial intelligence towards carbon neutrality: Technological convergence forecasting through link prediction and community detection. Comput. Ind. Eng. 190: 110015 (2024)- [j98]Jin Xiao, Zhang Wen, Xiaoyi Jiang, Lean Yu, Shouyang Wang:
Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method. Decis. Support Syst. 177: 114090 (2024) - [j97]Xiaoming Zhang, Lean Yu:
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods. Expert Syst. Appl. 237(Part B): 121484 (2024) - [j96]Chengju Gong, Sajid Siraj, Lean Yu, Lei Fu:
A generalized form of the distance-induced OWA operators - Demonstrating its use for evaluation indicator system in China. Expert Syst. Appl. 247: 123257 (2024) - [j95]Lean Yu, Mengxin Li, Xiaojun Liu:
A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data. Expert Syst. Appl. 249: 123745 (2024) - [j94]Xiaofeng Xu, Xiaoxi Cao, Lean Yu:
Carbon emissions forecasting based on tensor decomposition with multi-source data fusion. Inf. Sci. 681: 121235 (2024) - 2023
- [j93]Zhongbao Zhou, Zhengyang Song, Tiantian Ren, Lean Yu:
Two-Stage Portfolio Optimization Integrating Optimal Sharp Ratio Measure and Ensemble Learning. IEEE Access 11: 1654-1670 (2023) - [j92]Yue Wu, Wayne Wei Huang, Lean Yu, Yingjie Tian:
Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs. IEEE Access 11: 1854-1866 (2023) - [j91]Lean Yu, Changhua He:
A shapelet-based behavioral pattern extraction method for credit risk classification with behavior sparsity. Adv. Eng. Informatics 58: 102227 (2023) - [j90]Lean Yu, Mengxin Li:
A case-based reasoning driven ensemble learning paradigm for financial distress prediction with missing data. Appl. Soft Comput. 137: 110163 (2023) - [j89]Yingchao Zou, Lean Yu, Kaijian He:
Forecasting crude oil risk: A multiscale bidirectional generative adversarial network based approach. Expert Syst. Appl. 212: 118743 (2023) - [j88]Jin Xiao, Yuhang Tian, Yanlin Jia, Xiaoyi Jiang, Lean Yu, Shouyang Wang:
Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models. INFORMS J. Comput. 35(5): 986-1001 (2023) - [j87]Chuanbin Liu, Lean Yu, Bin Liu, Dan Wang, Jianan Yang:
A group decision-making and optimization method based on relative inverse number. Inf. Sci. 644: 119327 (2023) - [j86]Jianyu Zhao, Jiang Wei, Lean Yu, Xi Xi:
Managing knowledge reuse: the duality of innovator personality. J. Knowl. Manag. 27(3): 785-819 (2023) - [j85]Renjie Wang, Wei Pan, Lean Yu, Xiaoming Zhang, Wulin Pan, Cheng Hu, Li Wen, Lei Jin, Shujie Liao:
AI-Based Optimal Treatment Strategy Selection for Female Infertility for First and Subsequent IVF-ET Cycles. J. Medical Syst. 47(1): 87 (2023) - 2022
- [j84]Xiaoming Zhang, Lean Yu, Hang Yin, Kin Keung Lai:
Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality. Comput. Oper. Res. 146: 105937 (2022) - [j83]Yiqiong Wu, Wei Huang, Yingjie Tian, Qing Zhu, Lean Yu:
An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection. Electron. Commer. Res. Appl. 53: 101155 (2022) - [j82]Lean Yu, Xiaoming Zhang, Hang Yin:
An extreme learning machine based virtual sample generation method with feature engineering for credit risk assessment with data scarcity. Expert Syst. Appl. 202: 117363 (2022) - [j81]Ying Zhou, Lean Yu, Guotai Chi, Shijie Ding, Xu Liu:
An enterprise default discriminant model based on optimal misjudgment loss ratio. Expert Syst. Appl. 205: 117641 (2022) - [j80]Yue Guo, Lean Yu, Yichuan Ding, Leandro C. Coelho:
Guest editorial: Big data-driven analytics for smart cities: technology-based insight. Ind. Manag. Data Syst. 122(10): 2145-2150 (2022) - [j79]Xiaofeng Xu, Wenzhi Liu, Lean Yu:
Trajectory prediction for heterogeneous traffic-agents using knowledge correction data-driven model. Inf. Sci. 608: 375-391 (2022) - [j78]Yifei Zhang, Jue Wang, Lean Yu, Shouyang Wang:
An extreme bias-penalized forecast combination approach to commodity price forecasting. Inf. Sci. 615: 774-793 (2022) - 2021
- [j77]Lean Yu, Mengyao Ma:
A memory-trait-driven decomposition-reconstruction-ensemble learning paradigm for oil price forecasting. Appl. Soft Comput. 111: 107699 (2021) - [j76]Wenjia Chen, Lean Yu, Jinlin Li:
Forecasting Teleconsultation Demand with an Ensemble Attention-Based Bidirectional Long Short-Term Memory Model. Int. J. Comput. Intell. Syst. 14(1): 821-833 (2021) - [j75]Lean Yu, Yao Wu, Ling Tang, Hang Yin, Kin Keung Lai:
Investigation of diversity strategies in RVFL network ensemble learning for crude oil price forecasting. Soft Comput. 25(5): 3609-3622 (2021) - 2020
- [j74]Xiang Li, Hui Jiang, Sini Guo, Wai-Ki Ching, Lean Yu:
On product of positive L-R fuzzy numbers and its application to multi-period portfolio selection problems. Fuzzy Optim. Decis. Mak. 19(1): 53-79 (2020) - [j73]Ling Tang, Huiling Lü, Fengmei Yang, Lean Yu, Jingjing Li:
A Novel Integrated Measure for Energy Market Efficiency. J. Syst. Sci. Complex. 33(4): 1108-1125 (2020)
2010 – 2019
- 2019
- [j72]Jichang Dong, Wei Dai, Ying Liu, Lean Yu, Jie Wang:
Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method. Int. J. Inf. Technol. Decis. Mak. 18(5): 1605-1629 (2019) - [j71]Jie Fan, Lean Yu, Xiang Li, Changjing Shang, Minghu Ha:
Reliable location allocation for hazardous materials. Inf. Sci. 501: 688-707 (2019) - [j70]Wen Zhang, Lean Yu, Taketoshi Yoshida, Qing Wang:
Feature weighted confidence to incorporate prior knowledge into support vector machines for classification. Knowl. Inf. Syst. 58(2): 371-397 (2019) - [j69]Xiaofeng Xu, Jun Hao, Lean Yu, Yi-Rui Deng:
Fuzzy Optimal Allocation Model for Task-Resource Assignment Problem in a Collaborative Logistics Network. IEEE Trans. Fuzzy Syst. 27(5): 1112-1125 (2019) - 2018
- [j68]Lean Yu, Rongtian Zhou, Ling Tang, Rongda Chen:
A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data. Appl. Soft Comput. 69: 192-202 (2018) - [j67]Ling Tang, Yao Wu, Lean Yu:
A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting. Appl. Soft Comput. 70: 1097-1108 (2018) - [j66]Zhou He, Jichang Dong, Lean Yu:
An agent-based model for investigating the impact of distorted supply-demand information on China's resale housing market. J. Comput. Sci. 25: 1-15 (2018) - [j65]Xiaofeng Xu, Yao Zheng, Lean Yu:
A bi-level optimization model of LRP in collaborative logistics network considered backhaul no-load cost. Soft Comput. 22(16): 5385-5393 (2018) - [j64]Youcheng Lou, Lean Yu, Shouyang Wang, Peng Yi:
Privacy Preservation in Distributed Subgradient Optimization Algorithms. IEEE Trans. Cybern. 48(7): 2154-2165 (2018) - 2017
- [j63]Jian Li, Zhenjing Xu, Huijuan Xu, Ling Tang, Lean Yu:
Forecasting Oil Price Trends with Sentiment of Online News Articles. Asia Pac. J. Oper. Res. 34(2): 1740019:1-1740019:22 (2017) - [j62]Ling Tang, Huiling Lv, Lean Yu:
An EEMD-based multi-scale fuzzy entropy approach for complexity analysis in clean energy markets. Appl. Soft Comput. 56: 124-133 (2017) - [j61]Lean Yu, Huijuan Xu, Ling Tang:
LSSVR ensemble learning with uncertain parameters for crude oil price forecasting. Appl. Soft Comput. 56: 692-701 (2017) - [j60]Rongda Chen, Ze Wang, Lean Yu:
Importance Sampling for Credit Portfolio Risk with Risk Factors Having t-Copula. Int. J. Inf. Technol. Decis. Mak. 16(4): 1101-1124 (2017) - [j59]Jiaoman Du, Xiang Li, Lean Yu, Dan A. Ralescu, Jiandong Zhou:
Multi-depot vehicle routing problem for hazardous materials transportation: A fuzzy bilevel programming. Inf. Sci. 399: 201-218 (2017) - [j58]Lean Yu, Ling Li, Ling Tang, Wei Dai, Chihab Hanachi:
A multi-agent-based online opinion dissemination model for China's crisis information release policy during hazardous chemical leakage emergencies into rivers. Online Inf. Rev. 41(4): 537-557 (2017) - 2016
- [j57]Lean Yu, Wei Dai, Ling Tang:
A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting. Eng. Appl. Artif. Intell. 47: 110-121 (2016) - [j56]Sini Guo, Lean Yu, Xiang Li, Samarjit Kar:
Fuzzy multi-period portfolio selection with different investment horizons. Eur. J. Oper. Res. 254(3): 1026-1035 (2016) - [j55]Xiang Li, Lean Yu:
Decision making under various types of uncertainty. Int. J. Gen. Syst. 45(3): 251-252 (2016) - [j54]Jiaoman Du, Lean Yu, Xiang Li:
Fuzzy multi-objective chance-constrained programming model for hazardous materials transportation. Int. J. Gen. Syst. 45(3): 286-310 (2016) - [j53]Lean Yu, Zebin Yang, Ling Tang:
Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm. Int. J. Inf. Technol. Decis. Mak. 15(2): 423-452 (2016) - [j52]Lean Yu, Wei Dai, Ling Tang, Jiaqian Wu:
A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting. Neural Comput. Appl. 27(8): 2193-2215 (2016) - [j51]Lean Yu, Lunchao Hu, Ling Tang:
Stock Selection with a Novel Sigmoid-Based Mixed Discrete-Continuous Differential Evolution Algorithm. IEEE Trans. Knowl. Data Eng. 28(7): 1891-1904 (2016) - 2015
- [j50]Gang Kou, Lean Yu:
Intelligent knowledge management in operations research. Ann. Oper. Res. 234(1): 1-2 (2015) - [j49]Yingchao Zou, Lean Yu, Kaijian He:
Estimating Portfolio Value at Risk in the Electricity Markets Using an Entropy Optimized BEMD Approach. Entropy 17(7): 4519-4532 (2015) - [j48]Yingchao Zou, Lean Yu, Kaijian He:
Wavelet Entropy Based Analysis and Forecasting of Crude Oil Price Dynamics. Entropy 17(10): 7167-7184 (2015) - [j47]Meiyi Wei, Lean Yu, Xiang Li:
Credibilistic Location-Routing Model for Hazardous Materials Transportation. Int. J. Intell. Syst. 30(1): 23-39 (2015) - [j46]Ling Tang, Wei Dai, Lean Yu, Shouyang Wang:
A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting. Int. J. Inf. Technol. Decis. Mak. 14(1): 141-170 (2015) - [j45]Ling Tang, Zishu Wang, Xinxie Li, Lean Yu, Guoxing Zhang:
A novel hybrid FA-Based LSSVR learning paradigm for hydropower consumption forecasting. J. Syst. Sci. Complex. 28(5): 1080-1101 (2015) - [j44]Xiang Li, Sini Guo, Lean Yu:
Skewness of Fuzzy Numbers and Its Applications in Portfolio Selection. IEEE Trans. Fuzzy Syst. 23(6): 2135-2143 (2015) - [c47]Huiling Lv, Fengmei Yang, Ling Tang, Lean Yu:
A Novel Integrated Measure for Energy Market Efficiency. ITQM 2015: 1308-1312 - [c46]Jiarui Shi, Ling Tang, Lean Yu:
Economic and Environmental Effects of Coal Resource Tax Reform in China: Based on a Dynamic CGE Approach. ITQM 2015: 1313-1317 - [i1]Youcheng Lou, Lean Yu, Shouyang Wang:
Privacy Preservation in Distributed Subgradient Optimization Algorithms. CoRR abs/1512.08822 (2015) - 2014
- [j43]Yi Peng, Lean Yu:
Multiple criteria decision making in emergency management. Comput. Oper. Res. 42: 1-2 (2014) - [j42]Ling Tang, Shuai Wang, Lean Yu:
A Novel Time Series Forecasting Approach Considering Data Characteristics. Int. J. Knowl. Syst. Sci. 5(3): 46-53 (2014) - [e8]Lean Yu, Qing Zhu, Jian Chai, Shouyang Wang:
Seventh International Joint Conference on Computational Sciences and Optimization, CSO 2014, Beijing, China, July 4-6, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5372-1 [contents] - 2013
- [j41]Ling Tang, Lean Yu, Fangtao Liu, Weixuan Xu:
An Integrated Data Characteristic Testing Scheme for Complex Time Series Data Exploration. Int. J. Inf. Technol. Decis. Mak. 12(3): 491-522 (2013) - [j40]Lean Yu, Xiao Yao:
A total least squares proximal support vector classifier for credit risk evaluation. Soft Comput. 17(4): 643-650 (2013) - [c45]Xinxie Li, Lean Yu, Ling Tang, Wei Dai:
Coupling Firefly Algorithm and Least Squares Support Vector Regression for Crude Oil Price Forecasting. BIFE 2013: 80-83 - [c44]Yang Zhao, Lean Yu, Kaijian He:
A Compressed Sensing-Based Denoising Approach in Crude Oil Price Forecasting. BIFE 2013: 147-150 - [e7]Lean Yu, Rongda Chen, Shouyang Wang:
Sixth International Conference on Business Intelligence and Financial Engineering, BIFE 2013, Hangzhou, China, November 14-16, 2013. IEEE Computer Society 2013, ISBN 978-1-4799-4777-5 [contents] - [e6]Yong Shi, Youmin Xi, Peter Wolcott, Yingjie Tian, Jianping Li, Daniel Berg, Zhengxin Chen, Enrique Herrera-Viedma, Gang Kou, Heeseok Lee, Yi Peng, Lean Yu:
Proceedings of the First International Conference on Information Technology and Quantitative Management, ITQM 2013, Dushu Lake Hotel, Sushou, China, 16-18 May, 2013. Procedia Computer Science 17, Elsevier 2013 [contents] - 2012
- [j39]Lean Yu, Shouyang Wang, Fenghua Wen, Kin Keung Lai:
Genetic algorithm-based multi-criteria project portfolio selection. Ann. Oper. Res. 197(1): 71-86 (2012) - [j38]Jianping Li, Ling Tang, Xiaolei Sun, Lean Yu, Wan He, Yuying Yang:
Country risk forecasting for major oil exporting countries: A decomposition hybrid approach. Comput. Ind. Eng. 63(3): 641-651 (2012) - [j37]Wei Pan, Xianjia Wang, Yong-guang Zhong, Lean Yu, Jie Cao, Lun Ran, Han Qiao, Shouyang Wang, Xianhao Xu:
A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels. Int. J. Syst. Sci. 43(6): 1054-1063 (2012) - [j36]Lean Yu:
An evolutionary programming based asymmetric weighted least squares support vector machine ensemble learning methodology for software repository mining. Inf. Sci. 191: 31-46 (2012) - [e5]Lean Yu, Guoxing Zhang, Shouyang Wang:
Fifth International Conference on Business Intelligence and Financial Engineering, BIFE 2012, Lanzhou, Gansu, China, August 18-21, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2092-4 [contents] - [e4]Yanling Hao, Lean Yu:
Fifth International Joint Conference on Computational Sciences and Optimization, CSO 2012, Harbin, Heilongjiang, China, June 23-26, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-1365-0 [contents] - 2011
- [j35]Lean Yu, Kin Keung Lai:
A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support. Decis. Support Syst. 51(2): 307-315 (2011) - [j34]Lean Yu, Xiao Yao, Shouyang Wang, K. K. Lai:
Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection. Expert Syst. Appl. 38(12): 15392-15399 (2011) - 2010
- [j33]Ligang Zhou, Kin Keung Lai, Lean Yu:
Least squares support vector machines ensemble models for credit scoring. Expert Syst. Appl. 37(1): 127-133 (2010) - [j32]Lean Yu, Wuyi Yue, Shouyang Wang, Kin Keung Lai:
Support vector machine based multiagent ensemble learning for credit risk evaluation. Expert Syst. Appl. 37(2): 1351-1360 (2010) - [j31]Shuo Bai, Shouyang Wang, Lean Yu, Aoying Zhou:
Financial information processing and development of emerging financial markets. Frontiers Comput. Sci. China 4(2): 185-186 (2010) - [j30]Lean Yu, Shouyang Wang, Kin Keung Lai:
Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management. Frontiers Comput. Sci. China 4(2): 196-203 (2010) - [j29]Dabin Zhang, Lean Yu, Shouyang Wang, Haibin Xie:
Neural network methods for forecasting turning points in economic time series: an asymmetric verification to business cycles. Frontiers Comput. Sci. China 4(2): 254-262 (2010) - [j28]Lean Yu, Shouyang Wang, Kin Keung Lai, Fenghua Wen:
A multiscale neural network learning paradigm for financial crisis forecasting. Neurocomputing 73(4-6): 716-725 (2010) - [j27]Lean Yu, Wuyi Yue, Shouyang Wang:
Fuzzy-based network bandwidth design under demand uncertainty. J. Syst. Sci. Complex. 23(1): 61-70 (2010)
2000 – 2009
- 2009
- [j26]Lean Yu, Shouyang Wang, Kin Keung Lai:
A neural-network-based nonlinear metamodeling approach to financial time series forecasting. Appl. Soft Comput. 9(2): 563-574 (2009) - [j25]Lean Yu, Shouyang Wang, Kin Keung Lai:
An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring. Eur. J. Oper. Res. 195(3): 942-959 (2009) - [j24]Shuo Bai, Shouyang Wang, Lean Yu, Aoying Zhou:
Financial information processing. Frontiers Comput. Sci. China 3(2): 143-144 (2009) - [j23]Lean Yu, Shouyang Wang, Kin Keung Lai:
Forecasting foreign exchange rates with an improved back-propagation learning algorithm with adaptive smoothing momentum terms. Frontiers Comput. Sci. China 3(2): 167-176 (2009) - [j22]Dabin Zhang, Lean Yu, Shouyang Wang, Yingwen Song:
A novel PPGA-based clustering analysis method for business cycle indicator selection. Frontiers Comput. Sci. China 3(2): 217-225 (2009) - [j21]Jianping Li, Lean Yu, Jyrki Wallenius:
Guest Editor's Introduction: Risk Measurement and Risk Correlation Analysis. Int. J. Inf. Technol. Decis. Mak. 8(4): 625-627 (2009) - [j20]Lean Yu, Shouyang Wang, Jie Cao:
A Modified Least Squares Support Vector Machine Classifier with Application to Credit Risk Analysis. Int. J. Inf. Technol. Decis. Mak. 8(4): 697-710 (2009) - [j19]Lean Yu, Shouyang Wang, Kin Keung Lai:
Multi-Attribute Portfolio Selection with Genetic Optimization Algorithms. INFOR Inf. Syst. Oper. Res. 47(1): 23-30 (2009) - [j18]Lean Yu, Shouyang Wang, Kin Keung Lai:
Intelligent Computational Methods for Financial Engineering. Adv. Decis. Sci. 2009: 394731:1-394731:2 (2009) - [j17]Wei Pan, Guowei Hua, Lean Yu, Jinlong Zhang, Gang Xie, Shouyang Wang:
Determining Optimal Selling Price, Order Size and the Number of Price Changes with Weibull Distribution Deterioration. J. Comput. 4(12): 1294-1300 (2009) - [j16]Wei Pan, Lean Yu, Shouyang Wang, Guowei Hua, Gang Xie, Jinlong Zhang:
Dynamic Pricing Strategy of Provider with Different QoS Levels in Web Service. J. Networks 4(4): 228-235 (2009) - [j15]Ligang Zhou, Kin Keung Lai, Lean Yu:
Credit scoring using support vector machines with direct search for parameters selection. Soft Comput. 13(2): 149-155 (2009) - [j14]Lean Yu, Huanhuan Chen, Shouyang Wang, Kin Keung Lai:
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining. IEEE Trans. Evol. Comput. 13(1): 87-102 (2009) - [c43]Lean Yu, Xun Zhang, Shouyang Wang:
Foreign Exchange Rates Forecasting with a C-Ascending Least Squares Support Vector Regression Model. ICCS (2) 2009: 606-615 - [c42]Xun Zhang, Lean Yu, Shouyang Wang:
The Impact of Financial Crisis of 2007-2008 on Crude Oil Price. ICCS (2) 2009: 643-652 - [e3]Shouyang Wang, Lean Yu, Fenghua Wen, Shaoyi He, Yong Fang, K. K. Lai:
Business Intelligence: Artificial Intelligence in Business, Industry and Engineering, Proceedings of the Second International Conference on Business Intelligence and Financial Engineering, BIFE 2009, Beijing, China, 24-26 July 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3705-4 [contents] - [e2]Lean Yu, Kin Keung Lai, Shashi Kant Mishra:
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, CSO 2009, Sanya, Hainan, China, 24-26 April 2009, Volume 1. IEEE Computer Society 2009, ISBN 978-0-7695-3605-7 [contents] - [e1]Lean Yu, Kin Keung Lai, Shashi Kant Mishra:
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, CSO 2009, Sanya, Hainan, China, 24-26 April 2009, Volume 2. IEEE Computer Society 2009 [contents] - 2008
- [j13]Lean Yu, Shouyang Wang, Kin Keung Lai:
Neural network-based mean-variance-skewness model for portfolio selection. Comput. Oper. Res. 35(1): 34-46 (2008) - [j12]Lean Yu, Shouyang Wang, Kin Keung Lai:
Credit risk assessment with a multistage neural network ensemble learning approach. Expert Syst. Appl. 34(2): 1434-1444 (2008) - [j11]Gang Xie, Jinlong Zhang, Kin Keung Lai, Lean Yu:
Variable precision rough set for group decision-making: An application. Int. J. Approx. Reason. 49(2): 331-343 (2008) - [j10]Lean Yu, Kin Keung Lai, Shouyang Wang:
Multistage RBF neural network ensemble learning for exchange rates forecasting. Neurocomputing 71(16-18): 3295-3302 (2008) - [j9]Lean Yu, Wei Huang, Shouyang Wang, Kin Keung Lai:
Web warehouse - a new web information fusion tool for web mining. Inf. Fusion 9(4): 501-511 (2008) - [j8]Lean Yu, Shouyang Wang, Kin Keung Lai:
Forecasting China's Foreign Trade Volume with a Kernel-Based Hybrid Econometric-Ai Ensemble Learning Approach. J. Syst. Sci. Complex. 21(1): 1-19 (2008) - [j7]Lean Yu, Shouyang Wang, Fenghua Wen, Kin Keung Lai, Shaoyi He:
Designing a Hybrid Intelligent Mining System for Credit Risk Evaluation. J. Syst. Sci. Complex. 21(4): 527-539 (2008) - [c41]Wei Huang, Kin Keung Lai, Lean Yu, Shouyang Wang:
A Least Squares Bilateral-Weighted Fuzzy SVM Method to Evaluate Credit Risk. ICNC (7) 2008: 13-17 - [c40]Lean Yu, Shouyang Wang, Kin Keung Lai:
Investigation of Diversity Strategies in SVM Ensemble Learning. ICNC (7) 2008: 39-42 - [c39]Lean Yu, Shouyang Wang, Kin Keung Lai:
A generalized Intelligent-agent-based fuzzy group forecasting model for oil price prediction. SMC 2008: 489-493 - [p2]Lean Yu, Kin Keung Lai, Shouyang Wang:
An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification. Soft Computing Applications in Business 2008: 57-72 - [p1]Lean Yu, Shouyang Wang, Kin Keung Lai:
An EMD-Based Neural Network Ensemble Learning Model for World Crude Oil Spot Price Forecasting. Soft Computing Applications in Business 2008: 261-271 - 2007
- [j6]Lean Yu, Shouyang Wang, Kin Keung Lai, Wayne W. Huang:
Developing and assessing an intelligent forex rolling forecasting and trading decision support system for online e-service. Int. J. Intell. Syst. 22(5): 475-499 (2007) - [j5]Wei Huang, Kin Keung Lai, Yoshiteru Nakamori, Shouyang Wang, Lean Yu:
Neural Networks in Finance and Economics Forecasting. Int. J. Inf. Technol. Decis. Mak. 6(1): 113-140 (2007) - [c38]Lean Yu, Kin Keung Lai, Shouyang Wang:
An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction. ICANNGA (2) 2007: 262-270 - [c37]Lean Yu, Shouyang Wang, Kin Keung Lai:
A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction. International Conference on Computational Science (4) 2007: 106-113 - [c36]Lean Yu, Kin Keung Lai, Shouyang Wang:
Neural-Network-Based Fuzzy Group Forecasting with Application to Foreign Exchange Rates Prediction. International Conference on Computational Science (2) 2007: 423-430 - [c35]Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang:
An Intelligent CRM System for Identifying High-Risk Customers: An Ensemble Data Mining Approach. International Conference on Computational Science (2) 2007: 486-489 - [c34]Kin Keung Lai, Ligang Zhou, Lean Yu:
A Two-Phase Model Based on SVM and Conjoint Analysis for Credit Scoring. International Conference on Computational Science (2) 2007: 494-498 - [c33]Lean Yu, Kin Keung Lai, Shouyang Wang, Kaijian He:
Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm. International Conference on Computational Science (3) 2007: 925-932 - [c32]Yejing Bao, Xun Zhang, Lean Yu, Shouyang Wang:
Crude Oil Price Prediction Based On Multi-scale Decomposition. International Conference on Computational Science (3) 2007: 933-936 - [c31]Dashan Huang, Baimin Yu, Lean Yu, Frank J. Fabozzi, Masao Fukushima:
An Improved CAViaR Model for Oil Price Risk. International Conference on Computational Science (3) 2007: 937-944 - [c30]Lean Yu, Kin Keung Lai, Shouyang Wang, Ligang Zhou:
A Least Squares Fuzzy SVM Approach to Credit Risk Assessment. ICFIE 2007: 865-874 - 2006
- [j4]Kin Keung Lai, Shouyang Wang, Lean Yu:
Guest Editors' Introduction: Progress in Risk Management. Int. J. Inf. Technol. Decis. Mak. 5(3): 419-420 (2006) - [j3]Lean Yu, Kin Keung Lai, Shouyang Wang:
Currency Crisis Forecasting with General Regression Neural Networks. Int. J. Inf. Technol. Decis. Mak. 5(3): 437-454 (2006) - [j2]Lean Yu, Shouyang Wang, Kin Keung Lai:
An Integrated Data Preparation Scheme for Neural Network Data Analysis. IEEE Trans. Knowl. Data Eng. 18(2): 217-230 (2006) - [c29]Kin Keung Lai, Lean Yu, Shouyang Wang:
Multi-agent Web Text Mining on the Grid for Enterprise Decision Support. APWeb Workshops 2006: 540-544 - [c28]Kin Keung Lai, Lean Yu, Shouyang Wang, Ligang Zhou:
Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model. ICANN (2) 2006: 682-690 - [c27]Wei Huang, Shouyang Wang, Lean Yu, Yukun Bao, Lin Wang:
A New Computational Method of Input Selection for Stock Market Forecasting with Neural Networks. International Conference on Computational Science (4) 2006: 308-315 - [c26]Wen Xie, Lean Yu, Shanying Xu, Shouyang Wang:
A New Method for Crude Oil Price Forecasting Based on Support Vector Machines. International Conference on Computational Science (4) 2006: 444-451 - [c25]Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang:
Hybridizing Exponential Smoothing and Neural Network for Financial Time Series Predication. International Conference on Computational Science (4) 2006: 493-500 - [c24]Wei Huang, Lean Yu, Shouyang Wang, Yukun Bao, Lin Wang:
Comparisons of the Different Frequencies of Input Data for Neural Networks in Foreign Exchange Rates Forecasting. International Conference on Computational Science (4) 2006: 517-524 - [c23]Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang:
A Novel Nonlinear Neural Network Ensemble Model for Financial Time Series Forecasting. International Conference on Computational Science (1) 2006: 790-793 - [c22]Lean Yu, Kin Keung Lai, Shouyang Wang, Wei Huang:
A Bias-Variance-Complexity Trade-Off Framework for Complex System Modeling. ICCSA (1) 2006: 518-527 - [c21]Lean Yu, Kin Keung Lai, Shouyang Wang:
Credit Risk Assessment with Least Squares Fuzzy Support Vector Machines. ICDM Workshops 2006: 823-827 - [c20]Kin Keung Lai, Lean Yu, Shouyang Wang, Ligang Zhou:
Neural Network Metalearning for Credit Scoring. ICIC (1) 2006: 403-408 - [c19]Lean Yu, Wei Huang, Kin Keung Lai, Shouyang Wang:
A Reliability-Based RBF Network Ensemble Model for Foreign Exchange Rates Predication. ICONIP (3) 2006: 380-389 - [c18]Kin Keung Lai, Lean Yu, Shouyang Wang, Chengxiong Zhou:
A Double-Stage Genetic Optimization Algorithm for Portfolio Selection. ICONIP (3) 2006: 928-937 - [c17]Kin Keung Lai, Lean Yu, Shouyang Wang, Wei Huang:
Neural-Network-based Metalearning for Distributed Text Information Retrieval. IJCNN 2006: 1302-1309 - [c16]Kin Keung Lai, Lean Yu, Shouyang Wang:
Mean-Variance-Skewness-Kurtosis-based Portfolio Optimization. IMSCCS (2) 2006: 292-297 - [c15]Lean Yu, Shouyang Wang, Kin Keung Lai:
An Adaptive BP Algorithm with Optimal Learning Rates and Directional Error Correction for Foreign Exchange Market Trend Prediction. ISNN (2) 2006: 498-503 - [c14]Kin Keung Lai, Lean Yu, Ligang Zhou, Shouyang Wang:
Self-Organizing-Map-Based Metamodeling for Massive Text Data Exploration. ISNN (1) 2006: 1261-1266 - [c13]Kin Keung Lai, Lean Yu, Shouyang Wang, Chengxiong Zhou:
Neural-Network-based Metamodeling for Financial Time Series Forecasting. JCIS 2006 - [c12]Kin Keung Lai, Lean Yu, Wei Huang, Shouyang Wang:
Multistage Neural Network Metalearning with Application to Foreign Exchange Rates Forecasting. MICAI 2006: 338-347 - [c11]Wei Huang, Shouyang Wang, Lean Yu, Hongtao Ren:
Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature. KDLL 2006: 68-77 - [c10]Kin Keung Lai, Lean Yu, Wei Huang, Shouyang Wang:
A Novel Support Vector Machine Metamodel for Business Risk Identification. PRICAI 2006: 980-984 - [c9]Kin Keung Lai, Lean Yu, Ligang Zhou, Shouyang Wang:
Credit Risk Evaluation with Least Square Support Vector Machine. RSKT 2006: 490-495 - [c8]Chengxiong Zhou, Lean Yu, Tao Huang, Shouyang Wang, Kin Keung Lai:
Selecting Valuable Stock Using Genetic Algorithm. SEAL 2006: 688-694 - 2005
- [j1]Lean Yu, Shouyang Wang, Kin Keung Lai:
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates. Comput. Oper. Res. 32: 2523-2541 (2005) - [c7]Lean Yu, Shouyang Wang, Kin Keung Lai:
Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting. International Conference on Computational Science (3) 2005: 523-530 - [c6]Lean Yu, Kin Keung Lai, Shouyang Wang:
Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture. ICNC (1) 2005: 382-385 - [c5]Lean Yu, Kin Keung Lai, Shouyang Wang:
Designing a Hybrid AI System as a Forex Trading Decision Support Tool. ICTAI 2005: 89-93 - [c4]Lean Yu, Shouyang Wang, Kin Keung Lai:
A Novel Adaptive Learning Algorithm for Stock Market Prediction. ISAAC 2005: 443-452 - [c3]Lean Yu, Shouyang Wang, Kin Keung Lai:
Mining Stock Market Tendency Using GA-Based Support Vector Machines. WINE 2005: 336-345 - 2004
- [c2]Shouyang Wang, Lean Yu, Kin Keung Lai:
A Novel Hybrid AI System Framework for Crude Oil Price Forecasting. CASDMKM 2004: 233-242 - [c1]Kin Keung Lai, Lean Yu, Shouyang Wang:
A Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading. CASDMKM 2004: 243-253
Coauthor Index
Kin Keung Lai
aka: K. K. Lai
aka: K. K. Lai
[j84] [j75] [j39] [j35] [j34] [j33] [j32] [j30] [j28] [j26] [j25] [j23] [j19] [j18] [j15] [j14] [e3] [e2] [e1] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c41] [c40] [c39] [p2] [p1] [j6] [j5] [c38] [c37] [c36] [c35] [c34] [c33] [c30] [j4] [j3] [j2] [c29] [c28] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c10] [c9] [c8] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Shou-Yang Wang
aka: Shouyang Wang
aka: Shouyang Wang
[j98] [j88] [j78] [j64] [j46] [i1] [e8] [e7] [j39] [j37] [e5] [j34] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j20] [j19] [j18] [j17] [j16] [j14] [c43] [c42] [e3] [j13] [j12] [j10] [j9] [j8] [j7] [c41] [c40] [c39] [p2] [p1] [j6] [j5] [c38] [c37] [c36] [c35] [c33] [c32] [c30] [j4] [j3] [j2] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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