Yanfei Kang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 26

Top Topics

Convolutional Neural Network

Chaotic Time Series

Forecasting Model

Dirichlet Process

Top Venues

Eur. J. Oper. Res.

Int. J. Prod. Res.

ICDM (Workshops)

Publications

Bohan Zhang, Anastasios Panagiotelis, Yanfei Kang
Discrete forecast reconciliation. Eur. J. Oper. Res. 318 (1) (2024)
Shengjie Wang, Yanfei Kang, Fotios Petropoulos
Combining probabilistic forecasts of intermittent demand. Eur. J. Oper. Res. 315 (3) (2024)
Guanyu Zhang, Feng Li, Yanfei Kang
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization. CoRR (2023)
Li Li, Feng Li, Yanfei Kang
Forecasting large collections of time series: feature-based methods. CoRR (2023)
Xixi Li, Fotios Petropoulos, Yanfei Kang
Improving forecasting by subsampling seasonal time series. Int. J. Prod. Res. 61 (3) (2023)
Yinuo Ren, Feng Li, Yanfei Kang, Jue Wang
Infinite forecast combinations based on Dirichlet process. ICDM (Workshops) (2023)
Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia
A hybrid ensemble method with negative correlation learning for regression. Mach. Learn. 112 (10) (2023)
Yinuo Ren, Feng Li, Yanfei Kang, Jue Wang
Infinite forecast combinations based on Dirichlet process. CoRR (2023)
Li Li, Yanfei Kang, Fotios Petropoulos, Feng Li
Feature-based intermittent demand forecast combinations: accuracy and inventory implications. Int. J. Prod. Res. 61 (22) (2023)
Guanyu Zhang, Feng Li, Yanfei Kang
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization. ICDM (Workshops) (2023)
Bohan Zhang, Yanfei Kang, Anastasios Panagiotelis, Feng Li
Optimal reconciliation with immutable forecasts. Eur. J. Oper. Res. 308 (2) (2023)
Yanfei Kang, Wei Cao, Fotios Petropoulos, Feng Li
Forecast with forecasts: Diversity matters. Eur. J. Oper. Res. 301 (1) (2022)
Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos, Feng Li
The uncertainty estimation of feature-based forecast combinations. J. Oper. Res. Soc. 73 (5) (2022)
Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR (2022)
Xixi Li, Yun Bai, Yanfei Kang
Exploring the social influence of Kaggle virtual community on the M5 competition. CoRR (2021)
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recognit. 120 (2021)
Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos
Exploring the representativeness of the M5 competition data. CoRR (2021)
Yun Bai, Ganglin Tian, Yanfei Kang, Suling Jia
Enhancing the Diversity of Predictions Combination by Negative Correlation Learning. CoRR (2021)
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li
Forecasting: theory and practice. CoRR (2020)
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR (2020)
Xixi Li, Yanfei Kang, Feng Li
Forecasting with time series imaging. Expert Syst. Appl. 160 (2020)
Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang
Probabilistic forecasting with temporal convolutional neural network. Neurocomputing 399 (2020)
Yanfei Kang, Rob J. Hyndman, Feng Li
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. Stat. Anal. Data Min. 13 (4) (2020)
Yanfei Kang, Rob J. Hyndman, Feng Li
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. CoRR (2019)
Yitian Chen, Yanfei Kang, Yixiong Chen, Zizhuo Wang
Probabilistic Forecasting with Temporal Convolutional Neural Network. CoRR (2019)
Xixi Li, Yanfei Kang, Feng Li
Forecasting with time series imaging. CoRR (2019)
Yanfei Kang, Kate Smith-Miles, Danijel Belusic
How to extract meaningful shapes from noisy time-series subsequences? CIDM (2013)
Yanfei Kang
Real-time change detection in time series based on growing feature quantization. IJCNN (2012)