Yu-Lin He

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 30

Top Topics

Bayesian Classifier

Naive Bayesian Classifiers

Extreme Learning Machine

Kernel Density Estimator

Top Venues

Neural Comput. Appl.

Expert Syst. Appl.

Eng. Appl. Artif. Intell.

Publications

Yu-Lin He, Philippe Fournier-Viger, Sebastian Ventura, Ling Zhang
Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence. Eng. Appl. Artif. Intell. 137 (2024)
Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Joshua Zhexue Huang
A multiple kernel-based kernel density estimator for multimodal probability density functions. Eng. Appl. Artif. Intell. 132 (2024)
Yu-Lin He, Zhen-Hao Yuan, Joshua Zhexue Huang
Random vector functional link network with subspace-based local connections. Appl. Intell. 53 (2) (2023)
Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199 (2022)
Yu-Lin He, Shengsheng Xu, Joshua Zhexue Huang
Creating synthetic minority class samples based on autoencoder extreme learning machine. Pattern Recognit. 121 (2022)
Yu-Lin He, Xuan Ye, De-Fa Huang, Joshua Zhexue Huang, Jun-Hai Zhai
Novel kernel density estimator based on ensemble unbiased cross-validation. Inf. Sci. 581 (2021)
Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma
A new approach to solve opinion dynamics on complex networks. Expert Syst. Appl. 145 (2020)
Yu-Lin He, Honglian Qin, Joshua Zhexue Huang, Yi Jin
Novel electricity pattern identification system based on improved I-nice algorithm. Comput. Ind. Eng. 150 (2020)
Yu-Lin He, Jie Jiang, De-Xin Dai, Klohoun Fabrice
An Incremental Kernel Density Estimator for Data Stream Computation. Complex. 2020 (2020)
Jie Jiang, Yu-Lin He, De-Xin Dai, Joshua Zhexue Huang
A new kernel density estimator based on the minimum entropy of data set. Inf. Sci. 491 (2019)
Yu-Lin He, Chenghao Wei, Hao Long, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang
Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data. Appl. Soft Comput. 70 (2018)
Yu-Lin He, Xiaoliang Zhang, Wei Ao, Joshua Zhexue Huang
Determining the optimal temperature parameter for Softmax function in reinforcement learning. Appl. Soft Comput. 70 (2018)
Jie Jiang, Yu-Lin He, Joshua Zhexue Huang
Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator. PAKDD (Workshops) (2018)
Chenghao Wei, Salman Salloum, Tamer Z. Emara, Xiaoliang Zhang, Joshua Zhexue Huang, Yu-Lin He
A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis. CLOUD (2018)
Li-fen Yang, Chong Liu, Hao Long, Rana Aamir Raza Ashfaq, Yu-Lin He
Further improvements on extreme learning machine for interval neural network. Neural Comput. Appl. 29 (8) (2018)
Hao Long, Yu-Lin He, Joshua Zhexue Huang, Qiang Wang
Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems. PAKDD (Workshops) (2017)
Yu-Lin He, Joshua Zhexue Huang, Hao Long, Qiang Wang, Chenghao Wei
I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset. BigData Congress (2017)
Hai-Tao Liu, Jing Wang, Yu-Lin He, Rana Aamir Raza Ashfaq
Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression. Neural Comput. Appl. 28 (11) (2017)
Wei Ao, Yu-Lin He, Joshua Zhexue Huang, Yupeng He
Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation. ICONIP (1) (2017)
Salman Salloum, Yu-Lin He, Joshua Zhexue Huang, Xiaoliang Zhang, Tamer Z. Emara
A Random Sample Partition Data Model for Big Data Analysis. CoRR (2017)
Rana Aamir Raza Ashfaq, Yu-Lin He, De-gang Chen
Toward an efficient fuzziness based instance selection methodology for intrusion detection system. Int. J. Mach. Learn. Cybern. 8 (6) (2017)
Wan-guo Yu, Xu Zhou, Yu-Lin He, Rana Aamir Raza Ashfaq
Comments on "Local coupled extreme learning machine". Neural Comput. Appl. 28 (3) (2017)
Rana Aamir Raza Ashfaq, Xi-Zhao Wang, Joshua Zhexue Huang, Haider Abbas, Yu-Lin He
Fuzziness based semi-supervised learning approach for intrusion detection system. Inf. Sci. 378 (2017)
Salman Salloum, Joshua Zhexue Huang, Yu-Lin He
Empirical analysis of asymptotic ensemble learning for big data. BDCAT (2016)
Yi-Chao He, Xi-Zhao Wang, Yu-Lin He, Shuliang Zhao, Wen-Bin Li
Exact and approximate algorithms for discounted {0-1} knapsack problem. Inf. Sci. 369 (2016)
Xiao Tao, Xu Zhou, Yu-Lin He, Rana Aamir Raza Ashfaq
Impact of Variances of Random Weights and Biases on Extreme Learning Machine. J. Softw. 11 (5) (2016)
Sheng Xing, Yu-Lin He, Hong Zhu, Xizhao Wang
An approach to sample selection from big data for classification. SMC (2016)
Chong Liu, Bing-Qiang Wang, Xiao-Lan Wang, Yu-Lin He, Rana Aamir Raza Ashfaq
An Improved Local Coupled Extreme Learning Machine. J. Softw. 11 (8) (2016)
Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. PAKDD Workshops (2016)
Yu-Lin He, Xizhao Wang, Joshua Zhexue Huang
Fuzzy nonlinear regression analysis using a random weight network. Inf. Sci. (2016)
Yu-Lin He, James Nga-Kwok Liu, Yan-Xing Hu, Xi-Zhao Wang
OWA operator based link prediction ensemble for social network. Expert Syst. Appl. 42 (1) (2015)
Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza
Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. PAKDD (1) (2015)
Ran Wang, Yu-Lin He, Chi-Yin Chow, Fang-Fang Ou, Jian Zhang
Learning ELM-Tree from big data based on uncertainty reduction. Fuzzy Sets Syst. 258 (2015)
James N. K. Liu, Yu-Lin He, Yan-Xing Hu, Xi-Zhao Wang, Simon C. K. Shiu
Integrating Local Information-based Link Prediction Algorithms with OWA Operator. ICPRAM (2014)
Hong-Yan Ji, Xi-Zhao Wang, Yu-Lin He, Wen-Liang Li
A study on relationships between heuristics and optimal cuts in decision tree induction. Comput. Electr. Eng. 40 (5) (2014)
Ai-Min Fu, Xi-Zhao Wang, Yu-Lin He, Lai-Sheng Wang
A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. Neurocomputing 146 (2014)
James N. K. Liu, Zongnong Meng, Yan-Xing Hu, Yu-Lin He, Simon C. K. Shiu, Vincent W. S. Cho
A hybrid algorithm for recommendation twitter peers. SAC (2014)
Yu-Lin He, Ran Wang, Sam Kwong, Xi-Zhao Wang
Bayesian classifiers based on probability density estimation and their applications to simultaneous fault diagnosis. Inf. Sci. 259 (2014)
Xi-Zhao Wang, Yu-Lin He, Debby Dan Wang
Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes. IEEE Trans. Cybern. 44 (1) (2014)
James N. K. Liu, Yu-Lin He, Edward H. Y. Lim, Xizhao Wang
Domain ontology graph model and its application in Chinese text classification. Neural Comput. Appl. 24 (3-4) (2014)
Yan-Xing Hu, Yuan Wang, Jane Jia You, James N. K. Liu, Yu-Lin He
A Further Investigation on the Reliability of Extreme Learning Machines. ICDM Workshops (2014)
James N. K. Liu, Jane Jia You, Yan-Xing Hu, Yu-Lin He
An advancing investigation on reduct and consistency for decision tables in Variable Precision Rough Set models. FUZZ-IEEE (2014)
James Nga-Kwok Liu, Yan-Xing Hu, Yu-Lin He, Xizhao Wang
Regression ensemble with PSO algorithms based fuzzy integral. IEEE Congress on Evolutionary Computation (2014)
James N. K. Liu, Yan-Xing Hu, Yu-Lin He
A set covering based approach to find the reduct of variable precision rough set. Inf. Sci. 275 (2014)
Yu-Lin He, Xizhao Wang, Tingting Fu
A Combined Position Evaluation Function in Chinese Chess Computer Game. Trans. Comput. Sci. 17 (2013)
Li-Yuan Xu, Min Zhang, Wei Zhu, Yu-Lin He
Comparison of geometric and arithmetic means for bandwidth selection in Nadaraya-Watson kernel regression estimator. ICMLC (2013)
James N. K. Liu, Yu-Lin He, Edward H. Y. Lim, Xizhao Wang
A New Method for Knowledge and Information Management Domain Ontology Graph Model. IEEE Trans. Syst. Man Cybern. Syst. 43 (1) (2013)
James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu
Naive Bayesian Classifier Based on Neighborhood Probability. IPMU (3) (2012)
Yu-Lin He, James N. K. Liu, Xizhao Wang, Yan-Xing Hu
Optimal bandwidth selection for re-substitution entropy estimation. Appl. Math. Comput. 219 (8) (2012)
James N. K. Liu, Yu-Lin He, Xizhao Wang
Improving kernel incapability by equivalent probability in flexible naïve Bayesian. FUZZ-IEEE (2012)
James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu
A comparative study among different kernel functions in flexible naïve Bayesian classification. ICMLC (2011)
Xizhao Wang, Yu-Lin He, Ling-Cai Dong, Huanyu Zhao
Particle swarm optimization for determining fuzzy measures from data. Inf. Sci. 181 (19) (2011)
Yong-Hua Cai, Bo Wu, Yu-Lin He, Ye Zhang
A new instance selection algorithm based on contribution for nearest neighbour classification. ICMLC (2010)