Ran Wang

发表

Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis

Yu-Lin He, Xizhao Wang, Sam Kwong, 2014, Inf. Sci..

Mapping the local climate zones of urban areas by GIS-based and WUDAPT methods: A case study of Hong Kong

C. Ren, Ran Wang, Yuan Shi, 2017, Urban Climate.

Assessment of Local Climate Zone Classification Maps of Cities in China and Feasible Refinements

C. Ren, Ran Wang, E. Ng, 2019, Scientific Reports.

GIS-based mapping of Local Climate Zone in the a , Justin Hob , high-density city of Hong Kong

C. Ren, Ran Wang, E. Ng, 2018 .

Facilitating urban climate forecasts in rapidly urbanizing regions with land-use change modeling

C. Ren, Jiye Leng, Kangning Huang, 2021, Urban Climate.

Detecting multi-temporal land cover change and land surface temperature in Pearl River Delta by adopting local climate zone

Ran Wang, Edward Ng, Benjamin Bechtel, 2019, Urban Climate.

Evaluation of uWRF performance and modeling guidance based on WUDAPT and NUDAPT UCP datasets for Hong Kong

J. Fung, C. Ren, Ran Wang, 2019, Urban Climate.

A New Approach to Classifier Fusion Based on Upper Integral

Xizhao Wang, Ran Wang, Hui-Min Feng, 2014, IEEE Transactions on Cybernetics.

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper)

Victor C. S. Lee, Chi-Yin Chow, Yanhua Li, 2016, GeoInformatica.

Exploring cell tower data dumps for supervised learning-based point-of-interest prediction

Victor C. S. Lee, Chi-Yin Chow, Ran Wang, 2014, SIGSPATIAL/GIS.

A Hybrid Particle-Swarm Tabu Search Algorithm for Solving Job Shop Scheduling Problems

Hao Gao, Sam Kwong, Ran Wang, 2014, IEEE Transactions on Industrial Informatics.

Active learning based on support vector machines

Sam Kwong, Ran Wang, Qiang He, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

A network-based algorithm for the identification of moonlighting noncoding RNAs and its application in sepsis

Kwong-Sak Leung, Ran Wang, Jun Wang, 2020, Briefings Bioinform..

Inconsistency-based active learning for support vector machines

Sam Kwong, Ran Wang, Degang Chen, 2012, Pattern Recognit..

Sample selection based on maximum entropy for support vector machines

Sam Kwong, Ran Wang, S. Kwong, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Investigating the relationship between local climate zone and land surface temperature using an improved WUDAPT methodology – A case study of Yangtze River Delta, China

Ran Wang, Chao Ren, Meng Cai, 2017, Urban Climate.

Learning ELM-Tree from big data based on uncertainty reduction

Yu-Lin He, Jian Zhang, Chi-Yin Chow, 2015, Fuzzy Sets Syst..

Learning paradigm based on jumping genes: A general framework for enhancing exploration in evolutionary multiobjective optimization

Kim-Fung Man, Sam Kwong, Ke Li, 2013, Inf. Sci..

Fast prediction of protein-protein interaction sites based on Extreme Learning Machines

Hong Yan, Debby Dan Wang, Ran Wang, 2014, Neurocomputing.

GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong

Edward Ng, Chao Ren, Yong Xu, 2017, Urban Climate.

Active learning with multi-criteria decision making systems

Sam Kwong, Ran Wang, S. Kwong, 2014, Pattern Recognit..

A noise-detection based AdaBoost algorithm for mislabeled data

Sam Kwong, Ran Wang, Jingjing Cao, 2012, Pattern Recognit..

An analysis of ELM approximate error based on random weight matrix

Sam Kwong, Ran Wang, Debby D. Wang, 2013 .

A study on random weights between input and hidden layers in extreme learning machine

S. Kwong, Xizhao Wang, Ran Wang, 2012, Soft Comput..

Fuzzy-Rough-Set-Based Active Learning

Sam Kwong, Ran Wang, Degang Chen, 2014, IEEE Transactions on Fuzzy Systems.

Segment Based Decision Tree Induction With Continuous Valued Attributes

Xizhao Wang, Qingshan Jiang, Sam Kwong, 2015, IEEE Transactions on Cybernetics.

Empirical analysis: stock market prediction via extreme learning machine

Xiaotie Deng, Haoran Xie, Y. Cai, 2014, Neural Computing and Applications.

Class-specific soft voting based multiple extreme learning machines ensemble

Sam Kwong, Ke Li, Xiaodong Li, 2015, Neurocomputing.

Two-Level Stable Matching-Based Selection in MOEA/D

Qingfu Zhang, Sam Kwong, Ke Li, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization

Qingfu Zhang, Miqing Li, Sam Kwong, 2014, IEEE Transactions on Evolutionary Computation.

AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble

Sam Kwong, Ke Li, Ran Wang, 2014, 2014 International Conference on Machine Learning and Cybernetics.

Multi-objective differential evolution with self-navigation

Sam Kwong, Imre J. Rudas, Ke Li, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

EVOLVING EXTREME LEARNING MACHINE PARADIGM WITH ADAPTIVE OPERATOR SELECTION AND PARAMETER CONTROL

Sam Kwong, Ran Wang, Jingjing Cao, 2013 .

A weighted voting method using minimum square error based on Extreme Learning Machine

Sam Kwong, Ke Li, Ran Wang, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Investigation of the meteorological effects of urbanization in recent decades: A case study of major cities in Pearl River Delta

Ran Wang, Chao Ren, J. Fung, 2018, Urban Climate.

Issues and challenges of remote sensing-based local climate zone mapping for high-density cities

Meng Cai, Chao Ren, Ran Wang, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning

Kwong-Sak Leung, Man Hon Wong, Lixin Cheng, 2019, BMC Bioinformatics.

A vector-valued support vector machine model for multiclass problem

Sam Kwong, Ran Wang, Degang Chen, 2013, Inf. Sci..

iMCRec: A multi-criteria framework for personalized point-of-interest recommendations

Victor C. S. Lee, Chi-Yin Chow, Ran Wang, 2019, Inf. Sci..

Fuzzy rough sets based uncertainty measuring for stream based active learning

Sam Kwong, Ran Wang, Degang Chen, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Empirical analysis: stock market prediction via extreme learning machine

Xiaotie Deng, Haoran Xie, Huaqing Min, 2014, Neural Computing and Applications.