A Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading. - Kin Keung Lai; Lean Yu; Shouyang Wang (CASDMKM, 2004)

A Novel Hybrid AI System Framework for Crude Oil Price Forecasting. - Shouyang Wang; Lean Yu; Kin Keung Lai (CASDMKM, 2004)

Adaptive Smoothing Neural Networks in Foreign Exchange Rate Forecasting. - Lean Yu; Shouyang Wang; Kin Keung Lai (International Conference on Computational Science (3), 2005)

Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture. - Lean Yu; Kin Keung Lai; Shouyang Wang (ICNC (1), 2005)

Designing a Hybrid AI System as a Forex Trading Decision Support Tool. - Lean Yu; Kin Keung Lai; Shouyang Wang (ICTAI, 2005)

A Novel Adaptive Learning Algorithm for Stock Market Prediction. - Lean Yu; Shouyang Wang; Kin Keung Lai (ISAAC, 2005)

Mining Stock Market Tendency Using GA-Based Support Vector Machines. - Lean Yu; Shouyang Wang; Kin Keung Lai (WINE, 2005)

A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates. - Lean Yu; Shouyang Wang; Kin Keung Lai (Comput. Oper. Res., 2005)

Multi-agent Web Text Mining on the Grid for Enterprise Decision Support. - Kin Keung Lai; Lean Yu; Shouyang Wang (APWeb Workshops, 2006)

Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model. - Kin Keung Lai; Lean Yu; Shouyang Wang; Ligang Zhou (ICANN (2), 2006)

A New Computational Method of Input Selection for Stock Market Forecasting with Neural Networks. - Wei Huang 006; Shouyang Wang; Lean Yu; Yukun Bao; Lin Wang 001 (International Conference on Computational Science (4), 2006)

Comparisons of the Different Frequencies of Input Data for Neural Networks in Foreign Exchange Rates Forecasting. - Wei Huang 006; Lean Yu; Shouyang Wang; Yukun Bao; Lin Wang 001 (International Conference on Computational Science (4), 2006)

Hybridizing Exponential Smoothing and Neural Network for Financial Time Series Predication. - Kin Keung Lai; Lean Yu; Shouyang Wang; Wei Huang 006 (International Conference on Computational Science (4), 2006)

A Novel Nonlinear Neural Network Ensemble Model for Financial Time Series Forecasting. - Kin Keung Lai; Lean Yu; Shouyang Wang; Wei Huang 006 (International Conference on Computational Science (1), 2006)

A New Method for Crude Oil Price Forecasting Based on Support Vector Machines. - Wen Xie; Lean Yu; Shanying Xu; Shouyang Wang (International Conference on Computational Science (4), 2006)

A Bias-Variance-Complexity Trade-Off Framework for Complex System Modeling. - Lean Yu; Kin Keung Lai; Shouyang Wang; Wei Huang 006 (ICCSA (1), 2006)

Credit Risk Assessment with Least Squares Fuzzy Support Vector Machines. - Lean Yu; Kin Keung Lai; Shouyang Wang (ICDM Workshops, 2006)

Neural Network Metalearning for Credit Scoring. - Kin Keung Lai; Lean Yu; Shouyang Wang; Ligang Zhou (ICIC (1), 2006)

A Double-Stage Genetic Optimization Algorithm for Portfolio Selection. - Kin Keung Lai; Lean Yu; Shouyang Wang; Chengxiong Zhou (ICONIP (3), 2006)

A Reliability-Based RBF Network Ensemble Model for Foreign Exchange Rates Predication. - Lean Yu; Wei Huang 006; Kin Keung Lai; Shouyang Wang (ICONIP (3), 2006)

Neural-Network-based Metalearning for Distributed Text Information Retrieval. - Kin Keung Lai; Lean Yu; Shouyang Wang; Wei Huang 006 (IJCNN, 2006)

Mean-Variance-Skewness-Kurtosis-based Portfolio Optimization. - Kin Keung Lai; Lean Yu; Shouyang Wang (IMSCCS (2), 2006)

Self-Organizing-Map-Based Metamodeling for Massive Text Data Exploration. - Kin Keung Lai; Lean Yu; Ligang Zhou; Shouyang Wang (ISNN (1), 2006)

An Adaptive BP Algorithm with Optimal Learning Rates and Directional Error Correction for Foreign Exchange Market Trend Prediction. - Lean Yu; Shouyang Wang; Kin Keung Lai (ISNN (2), 2006)

Neural-Network-based Metamodeling for Financial Time Series Forecasting. - Kin Keung Lai; Lean Yu; Shouyang Wang; Chengxiong Zhou (JCIS, 2006)

Multistage Neural Network Metalearning with Application to Foreign Exchange Rates Forecasting. - Kin Keung Lai; Lean Yu; Wei Huang 006; Shouyang Wang (MICAI, 2006)

Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature. - Wei Huang 006; Shouyang Wang; Lean Yu; Hongtao Ren (KDLL, 2006)

A Novel Support Vector Machine Metamodel for Business Risk Identification. - Kin Keung Lai; Lean Yu; Wei Huang 006; Shouyang Wang (PRICAI, 2006)

Credit Risk Evaluation with Least Square Support Vector Machine. - Kin Keung Lai; Lean Yu; Ligang Zhou; Shouyang Wang (RSKT, 2006)

Selecting Valuable Stock Using Genetic Algorithm. - Chengxiong Zhou; Lean Yu; Tao Huang; Shouyang Wang; Kin Keung Lai (SEAL, 2006)

Guest Editors' Introduction: Progress in Risk Management. - Kin Keung Lai; Shouyang Wang; Lean Yu (Int. J. Inf. Technol. Decis. Mak., 2006)

Currency Crisis Forecasting with General Regression Neural Networks. - Lean Yu; Kin Keung Lai; Shouyang Wang (Int. J. Inf. Technol. Decis. Mak., 2006)

An Integrated Data Preparation Scheme for Neural Network Data Analysis. - Lean Yu; Shouyang Wang; Kin Keung Lai (IEEE Trans. Knowl. Data Eng., 2006)

An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction. - Lean Yu; Kin Keung Lai; Shouyang Wang (ICANNGA (2), 2007)

Crude Oil Price Prediction Based On Multi-scale Decomposition. - Yejing Bao; Xun Zhang 001; Lean Yu; Shouyang Wang (International Conference on Computational Science (3), 2007)

An Improved CAViaR Model for Oil Price Risk. - Dashan Huang; Baimin Yu; Lean Yu; Frank J. Fabozzi; Masao Fukushima (International Conference on Computational Science (3), 2007)

An Intelligent CRM System for Identifying High-Risk Customers: An Ensemble Data Mining Approach. - Kin Keung Lai; Lean Yu; Shouyang Wang; Wei Huang 006 (International Conference on Computational Science (2), 2007)

A Two-Phase Model Based on SVM and Conjoint Analysis for Credit Scoring. - Kin Keung Lai; Ligang Zhou; Lean Yu (International Conference on Computational Science (2), 2007)

Neural-Network-Based Fuzzy Group Forecasting with Application to Foreign Exchange Rates Prediction. - Lean Yu; Kin Keung Lai; Shouyang Wang (International Conference on Computational Science (2), 2007)

Oil Price Forecasting with an EMD-Based Multiscale Neural Network Learning Paradigm. - Lean Yu; Kin Keung Lai; Shouyang Wang; Kaijian He (International Conference on Computational Science (3), 2007)

A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction. - Lean Yu; Shouyang Wang; Kin Keung Lai (International Conference on Computational Science (4), 2007)

A Least Squares Fuzzy SVM Approach to Credit Risk Assessment. - Lean Yu; Kin Keung Lai; Shouyang Wang; Ligang Zhou (ICFIE, 2007)

Developing and assessing an intelligent forex rolling forecasting and trading decision support system for online e-service. - Lean Yu; Shouyang Wang; Kin Keung Lai; Wayne W. Huang (Int. J. Intell. Syst., 2007)

Neural Networks in Finance and Economics Forecasting. - Wei Huang 006; Kin Keung Lai; Yoshiteru Nakamori; Shouyang Wang; Lean Yu (Int. J. Inf. Technol. Decis. Mak., 2007)

A Least Squares Bilateral-Weighted Fuzzy SVM Method to Evaluate Credit Risk. - Wei Huang 006; Kin Keung Lai; Lean Yu; Shouyang Wang (ICNC (7), 2008)

Investigation of Diversity Strategies in SVM Ensemble Learning. - Lean Yu; Shouyang Wang; Kin Keung Lai (ICNC (7), 2008)

A generalized Intelligent-agent-based fuzzy group forecasting model for oil price prediction. - Lean Yu; Shouyang Wang; Kin Keung Lai (SMC, 2008)

Neural network-based mean-variance-skewness model for portfolio selection. - Lean Yu; Shouyang Wang; Kin Keung Lai (Comput. Oper. Res., 2008)

Credit risk assessment with a multistage neural network ensemble learning approach. - Lean Yu; Shouyang Wang; Kin Keung Lai (Expert Syst. Appl., 2008)

Variable precision rough set for group decision-making: An application. - Gang Xie 003; Jinlong Zhang; Kin Keung Lai; Lean Yu (Int. J. Approx. Reason., 2008)

Multistage RBF neural network ensemble learning for exchange rates forecasting. - Lean Yu; Kin Keung Lai; Shouyang Wang (Neurocomputing, 2008)

Web warehouse - a new web information fusion tool for web mining. - Lean Yu; Wei Huang 006; Shouyang Wang; Kin Keung Lai (Inf. Fusion, 2008)

Forecasting China's Foreign Trade Volume with a Kernel-Based Hybrid Econometric-Ai Ensemble Learning Approach. - Lean Yu; Shouyang Wang; Kin Keung Lai (J. Syst. Sci. Complex., 2008)

Designing a Hybrid Intelligent Mining System for Credit Risk Evaluation. - Lean Yu; Shouyang Wang; Fenghua Wen; Kin Keung Lai; Shaoyi He (J. Syst. Sci. Complex., 2008)

An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification. - Lean Yu; Kin Keung Lai; Shouyang Wang (Soft Computing Applications in Business, 2008)

An EMD-Based Neural Network Ensemble Learning Model for World Crude Oil Spot Price Forecasting. - Lean Yu; Shouyang Wang; Kin Keung Lai (Soft Computing Applications in Business, 2008)

Foreign Exchange Rates Forecasting with a C-Ascending Least Squares Support Vector Regression Model. - Lean Yu; Xun Zhang 001; Shouyang Wang (ICCS (2), 2009)

The Impact of Financial Crisis of 2007-2008 on Crude Oil Price. - Xun Zhang 001; Lean Yu; Shouyang Wang (ICCS (2), 2009)

A neural-network-based nonlinear metamodeling approach to financial time series forecasting. - Lean Yu; Shouyang Wang; Kin Keung Lai (Appl. Soft Comput., 2009)

An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring. - Lean Yu; Shouyang Wang; Kin Keung Lai (Eur. J. Oper. Res., 2009)

Financial information processing. - Shuo Bai; Shouyang Wang; Lean Yu; Aoying Zhou (Frontiers Comput. Sci. China, 2009)

Forecasting foreign exchange rates with an improved back-propagation learning algorithm with adaptive smoothing momentum terms. - Lean Yu; Shouyang Wang; Kin Keung Lai (Frontiers Comput. Sci. China, 2009)

A novel PPGA-based clustering analysis method for business cycle indicator selection. - Dabin Zhang; Lean Yu; Shouyang Wang; Yingwen Song (Frontiers Comput. Sci. China, 2009)

Guest Editor's Introduction: Risk Measurement and Risk Correlation Analysis. - Jianping Li 001; Lean Yu; Jyrki Wallenius (Int. J. Inf. Technol. Decis. Mak., 2009)

A Modified Least Squares Support Vector Machine Classifier with Application to Credit Risk Analysis. - Lean Yu; Shouyang Wang; Jie Cao 011 (Int. J. Inf. Technol. Decis. Mak., 2009)

Multi-Attribute Portfolio Selection with Genetic Optimization Algorithms. - Lean Yu; Shouyang Wang; Kin Keung Lai (INFOR Inf. Syst. Oper. Res., 2009)

Intelligent Computational Methods for Financial Engineering. - Lean Yu; Shouyang Wang; Kin Keung Lai (Adv. Decis. Sci., 2009)

Determining Optimal Selling Price, Order Size and the Number of Price Changes with Weibull Distribution Deterioration. - Wei Pan; Guowei Hua; Lean Yu; Jinlong Zhang; Gang Xie 003; Shouyang Wang (J. Comput., 2009)

Dynamic Pricing Strategy of Provider with Different QoS Levels in Web Service. - Wei Pan; Lean Yu; Shouyang Wang; Guowei Hua; Gang Xie 003; Jinlong Zhang (J. Networks, 2009)

Credit scoring using support vector machines with direct search for parameters selection. - Ligang Zhou; Kin Keung Lai; Lean Yu (Soft Comput., 2009)

Evolving Least Squares Support Vector Machines for Stock Market Trend Mining. - Lean Yu; Huanhuan Chen; Shouyang Wang; Kin Keung Lai (IEEE Trans. Evol. Comput., 2009)

Support vector machine based multiagent ensemble learning for credit risk evaluation. - Lean Yu; Wuyi Yue; Shouyang Wang; Kin Keung Lai (Expert Syst. Appl., 2010)

Least squares support vector machines ensemble models for credit scoring. - Ligang Zhou; Kin Keung Lai; Lean Yu (Expert Syst. Appl., 2010)

Financial information processing and development of emerging financial markets. - Shuo Bai; Shouyang Wang; Lean Yu; Aoying Zhou (Frontiers Comput. Sci. China, 2010)

Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management. - Lean Yu; Shouyang Wang; Kin Keung Lai (Frontiers Comput. Sci. China, 2010)

Neural network methods for forecasting turning points in economic time series: an asymmetric verification to business cycles. - Dabin Zhang; Lean Yu; Shouyang Wang; Haibin Xie (Frontiers Comput. Sci. China, 2010)

A multiscale neural network learning paradigm for financial crisis forecasting. - Lean Yu; Shouyang Wang; Kin Keung Lai; Fenghua Wen (Neurocomputing, 2010)

Fuzzy-based network bandwidth design under demand uncertainty. - Lean Yu; Wuyi Yue; Shouyang Wang (J. Syst. Sci. Complex., 2010)

A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support. - Lean Yu; Kin Keung Lai (Decis. Support Syst., 2011)

Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection. - Lean Yu; Xiao Yao; Shouyang Wang; K. K. Lai (Expert Syst. Appl., 2011)

Genetic algorithm-based multi-criteria project portfolio selection. - Lean Yu; Shouyang Wang; Fenghua Wen; Kin Keung Lai (Ann. Oper. Res., 2012)

Country risk forecasting for major oil exporting countries: A decomposition hybrid approach. - Jianping Li 001; Ling Tang 001; Xiaolei Sun; Lean Yu; Wan He; Yuying Yang (Comput. Ind. Eng., 2012)

A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels. - Wei Pan; Xianjia Wang; Yong-guang Zhong; Lean Yu; Jie Cao 011; Lun Ran; Han Qiao; Shouyang Wang; Xianhao Xu (Int. J. Syst. Sci., 2012)

An evolutionary programming based asymmetric weighted least squares support vector machine ensemble learning methodology for software repository mining. - Lean Yu (Inf. Sci., 2012)

Coupling Firefly Algorithm and Least Squares Support Vector Regression for Crude Oil Price Forecasting. - Xinxie Li; Lean Yu; Ling Tang 001; Wei Dai (BIFE, 2013)

A Compressed Sensing-Based Denoising Approach in Crude Oil Price Forecasting. - Yang Zhao; Lean Yu; Kaijian He (BIFE, 2013)

An Integrated Data Characteristic Testing Scheme for Complex Time Series Data Exploration. - Ling Tang 001; Lean Yu; Fangtao Liu; Weixuan Xu (Int. J. Inf. Technol. Decis. Mak., 2013)

A total least squares proximal support vector classifier for credit risk evaluation. - Lean Yu; Xiao Yao (Soft Comput., 2013)

Multiple criteria decision making in emergency management. - Yi Peng 001; Lean Yu (Comput. Oper. Res., 2014)

A Novel Time Series Forecasting Approach Considering Data Characteristics. - Ling Tang 001; Shuai Wang 002; Lean Yu (Int. J. Knowl. Syst. Sci., 2014)

A Novel Integrated Measure for Energy Market Efficiency. - Huiling Lv; Fengmei Yang; Ling Tang 001; Lean Yu (ITQM, 2015)

Economic and Environmental Effects of Coal Resource Tax Reform in China: Based on a Dynamic CGE Approach. - Jiarui Shi; Ling Tang 001; Lean Yu (ITQM, 2015)

Intelligent knowledge management in operations research. - Gang Kou; Lean Yu (Ann. Oper. Res., 2015)

Privacy Preservation in Distributed Subgradient Optimization Algorithms. - Youcheng Lou; Lean Yu; Shouyang Wang (CoRR, 2015)

Estimating Portfolio Value at Risk in the Electricity Markets Using an Entropy Optimized BEMD Approach. - Yingchao Zou; Lean Yu; Kaijian He (Entropy, 2015)

Wavelet Entropy Based Analysis and Forecasting of Crude Oil Price Dynamics. - Yingchao Zou; Lean Yu; Kaijian He (Entropy, 2015)

Credibilistic Location-Routing Model for Hazardous Materials Transportation. - Meiyi Wei; Lean Yu; Xiang Li 006 (Int. J. Intell. Syst., 2015)

A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting. - Ling Tang 001; Wei Dai; Lean Yu; Shouyang Wang (Int. J. Inf. Technol. Decis. Mak., 2015)

A novel hybrid FA-Based LSSVR learning paradigm for hydropower consumption forecasting. - Ling Tang 001; Zishu Wang; Xinxie Li; Lean Yu; Guoxing Zhang (J. Syst. Sci. Complex., 2015)

Skewness of Fuzzy Numbers and Its Applications in Portfolio Selection. - Xiang Li 006; Sini Guo; Lean Yu (IEEE Trans. Fuzzy Syst., 2015)

A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting. - Lean Yu; Wei Dai; Ling Tang 001 (Eng. Appl. Artif. Intell., 2016)

Fuzzy multi-period portfolio selection with different investment horizons. - Sini Guo; Lean Yu; Xiang Li 006; Samarjit Kar (Eur. J. Oper. Res., 2016)

Fuzzy multi-objective chance-constrained programming model for hazardous materials transportation. - Jiaoman Du; Lean Yu; Xiang Li 006 (Int. J. Gen. Syst., 2016)

Decision making under various types of uncertainty. - Xiang Li 006; Lean Yu (Int. J. Gen. Syst., 2016)

Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm. - Lean Yu; Zebin Yang 001; Ling Tang 001 (Int. J. Inf. Technol. Decis. Mak., 2016)

A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting. - Lean Yu; Wei Dai; Ling Tang 001; Jiaqian Wu (Neural Comput. Appl., 2016)

Stock Selection with a Novel Sigmoid-Based Mixed Discrete-Continuous Differential Evolution Algorithm. - Lean Yu; Lunchao Hu; Ling Tang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Forecasting Oil Price Trends with Sentiment of Online News Articles. - Jian Li; Zhenjing Xu; Huijuan Xu 002; Ling Tang 001; Lean Yu (Asia Pac. J. Oper. Res., 2017)

An EEMD-based multi-scale fuzzy entropy approach for complexity analysis in clean energy markets. - Ling Tang 001; Huiling Lv; Lean Yu (Appl. Soft Comput., 2017)

LSSVR ensemble learning with uncertain parameters for crude oil price forecasting. - Lean Yu; Huijuan Xu 002; Ling Tang 001 (Appl. Soft Comput., 2017)

Importance Sampling for Credit Portfolio Risk with Risk Factors Having t-Copula. - Rongda Chen; Ze Wang; Lean Yu (Int. J. Inf. Technol. Decis. Mak., 2017)

Multi-depot vehicle routing problem for hazardous materials transportation: A fuzzy bilevel programming. - Jiaoman Du; Xiang Li 006; Lean Yu; Dan A. Ralescu; Jiandong Zhou 001 (Inf. Sci., 2017)

A multi-agent-based online opinion dissemination model for China's crisis information release policy during hazardous chemical leakage emergencies into rivers. - Lean Yu; Ling Li; Ling Tang 001; Wei Dai; Chihab Hanachi (Online Inf. Rev., 2017)

A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting. - Ling Tang 001; Yao Wu; Lean Yu (Appl. Soft Comput., 2018)

A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data. - Lean Yu; Rongtian Zhou; Ling Tang 001; Rongda Chen (Appl. Soft Comput., 2018)

An agent-based model for investigating the impact of distorted supply-demand information on China's resale housing market. - Zhou He 004; Jichang Dong; Lean Yu (J. Comput. Sci., 2018)

A bi-level optimization model of LRP in collaborative logistics network considered backhaul no-load cost. - Xiaofeng Xu; Yao Zheng; Lean Yu (Soft Comput., 2018)

Privacy Preservation in Distributed Subgradient Optimization Algorithms. - Youcheng Lou; Lean Yu; Shouyang Wang; Peng Yi 001 (IEEE Trans. Cybern., 2018)

Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method. - Jichang Dong; Wei Dai; Ying Liu 039; Lean Yu; Jie Wang 006 (Int. J. Inf. Technol. Decis. Mak., 2019)

Reliable location allocation for hazardous materials. - Jie Fan; Lean Yu; Xiang Li 006; Changjing Shang; Minghu Ha (Inf. Sci., 2019)

Feature weighted confidence to incorporate prior knowledge into support vector machines for classification. - Wen Zhang 001; Lean Yu; Taketoshi Yoshida; Qing Wang 001 (Knowl. Inf. Syst., 2019)

Fuzzy Optimal Allocation Model for Task-Resource Assignment Problem in a Collaborative Logistics Network. - Xiaofeng Xu; Jun Hao; Lean Yu; Yi-Rui Deng (IEEE Trans. Fuzzy Syst., 2019)

On product of positive L-R fuzzy numbers and its application to multi-period portfolio selection problems. - Xiang Li 006; Hui Jiang; Sini Guo; Wai-Ki Ching; Lean Yu (Fuzzy Optim. Decis. Mak., 2020)

A Novel Integrated Measure for Energy Market Efficiency. - Ling Tang 001; Huiling Lü; Fengmei Yang; Lean Yu; Jingjing Li (J. Syst. Sci. Complex., 2020)

A memory-trait-driven decomposition-reconstruction-ensemble​ learning paradigm for oil price forecasting. - Lean Yu; Mengyao Ma (Appl. Soft Comput., 2021)

Forecasting Teleconsultation Demand with an Ensemble Attention-Based Bidirectional Long Short-Term Memory Model. - Wenjia Chen; Lean Yu; Jinlin Li (Int. J. Comput. Intell. Syst., 2021)

Investigation of diversity strategies in RVFL network ensemble learning for crude oil price forecasting. - Lean Yu; Yao Wu; Ling Tang 001; Hang Yin; Kin Keung Lai (Soft Comput., 2021)

Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality. - Xiaoming Zhang; Lean Yu; Hang Yin; Kin Keung Lai (Comput. Oper. Res., 2022)

An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection. - Yiqiong Wu; Wei Huang; Yingjie Tian 001; Qing Zhu; Lean Yu (Electron. Commer. Res. Appl., 2022)

An extreme learning machine based virtual sample generation method with feature engineering for credit risk assessment with data scarcity. - Lean Yu; Xiaoming Zhang; Hang Yin (Expert Syst. Appl., 2022)

An enterprise default discriminant model based on optimal misjudgment loss ratio. - Ying Zhou; Lean Yu; Guotai Chi; Shijie Ding; Xu Liu (Expert Syst. Appl., 2022)

Guest editorial: Big data-driven analytics for smart cities: technology-based insight. - Yue Guo 004; Lean Yu; Yichuan Ding; Leandro C. Coelho (Ind. Manag. Data Syst., 2022)

Trajectory prediction for heterogeneous traffic-agents using knowledge correction data-driven model. - Xiaofeng Xu; Wenzhi Liu; Lean Yu (Inf. Sci., 2022)

An extreme bias-penalized forecast combination approach to commodity price forecasting. - Yifei Zhang; Jue Wang 015; Lean Yu; Shouyang Wang (Inf. Sci., 2022)

Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs. - Yue Wu; Wayne Wei Huang; Lean Yu; Yingjie Tian 001 (IEEE Access, 2023)

Two-Stage Portfolio Optimization Integrating Optimal Sharp Ratio Measure and Ensemble Learning. - Zhongbao Zhou; Zhengyang Song; Tiantian Ren; Lean Yu (IEEE Access, 2023)

Forecasting crude oil risk: A multiscale bidirectional generative adversarial network based approach. - Yingchao Zou; Lean Yu; Kaijian He (Expert Syst. Appl., 2023)

Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models. - Jin Xiao; Yuhang Tian; Yanlin Jia; Xiaoyi Jiang 001; Lean Yu; Shouyang Wang (INFORMS J. Comput., 2023)

Managing knowledge reuse: the duality of innovator personality. - Jianyu Zhao; Jiang Wei; Lean Yu; Xi Xi (J. Knowl. Manag., 2023)

A case-based reasoning driven ensemble learning paradigm for financial distress prediction with missing data. - Lean Yu; Mengxin Li (Appl. Soft Comput., 2023)

A shapelet-based behavioral pattern extraction method for credit risk classification with behavior sparsity. - Lean Yu; Changhua He (Adv. Eng. Informatics, 2023)

A group decision-making and optimization method based on relative inverse number. - Chuanbin Liu 003; Lean Yu; Bin Liu 027; Dan Wang; Jianan Yang (Inf. Sci., 2023)

AI-Based Optimal Treatment Strategy Selection for Female Infertility for First and Subsequent IVF-ET Cycles. - Renjie Wang; Wei Pan; Lean Yu; Xiaoming Zhang; Wulin Pan; Cheng Hu; Li Wen; Lei Jin; Shujie Liao (J. Medical Syst., 2023)

Exploring the potentials of artificial intelligence towards carbon neutrality: Technological convergence forecasting through link prediction and community detection. - Xi Xi; Jianyu Zhao; Lean Yu; Ce Wang (Comput. Ind. Eng., 2024)

A generalized form of the distance-induced OWA operators - Demonstrating its use for evaluation indicator system in China. - Chengju Gong; Sajid Siraj; Lean Yu; Lei Fu (Expert Syst. Appl., 2024)

A two-stage case-based reasoning driven classification paradigm for financial distress prediction with missing and imbalanced data. - Lean Yu; Mengxin Li; Xiaojun Liu (Expert Syst. Appl., 2024)

Carbon emissions forecasting based on tensor decomposition with multi-source data fusion. - Xiaofeng Xu; Xiaoxi Cao; Lean Yu (Inf. Sci., 2024)

Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method. - Jin Xiao; Zhang Wen; Xiaoyi Jiang 001; Lean Yu; Shouyang Wang (Decis. Support Syst., 2024)

Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods. - Xiaoming Zhang; Lean Yu (Expert Syst. Appl., 2024)

Variable-weight combined forecasting model with causal analysis and clustering for refined oil sales forecasting. - Xiaofeng Xu; Wenzhi Liu; Lean Yu; Yinsheng Yu; Wanli Yi (Decis. Sci., 2024)

A multi-scale analysis method with multi-feature selection for house prices forecasting. - Jin Shao; Lean Yu; Nengmin Zeng; Jingke Hong; Xianzhu Wang (Appl. Soft Comput., 2025)

Fraud Detection by Integrating Multisource Heterogeneous Presence-Only Data. - Yongqin Qiu; Yuanxing Chen; Kan Fang; Lean Yu; Kuangnan Fang (INFORMS J. Comput., 2025)

LLM-infused bi-level semantic enhancement for corporate credit risk prediction. - Sichong Lu; Yi Su; Xiaoming Zhang; Jiahui Chai; Lean Yu (Inf. Process. Manag., 2025)

Forecasting Crude Oil Prices Using a Convolutional Neural Network with Time-Delay Embedding. - Kaijian He; Lean Yu; Jia Liu; Yingchao Zou (Int. J. Inf. Technol. Decis. Mak., 2025)

LMCBert: An Automatic Academic Paper Rating Model Based on Large Language Models and Contrastive Learning. - Chuanbin Liu 003; Xiaowu Zhang; Hongfei Zhao; Zhijie Liu 001; Xi Xi; Lean Yu (IEEE Trans. Cybern., 2025)

Expert Credibility Prediction Model Based on Fuzzy C-Means Clustering and Similarity Association. - Chuanbin Liu 003; Junming Guo; Xiaoming Zhang; Dengsheng Wu; Lean Yu (IEEE Trans. Fuzzy Syst., 2025)