Yanfei Kang
Yanfei Kang
Other names康 雁飞
School of Economics and Management, Beihang University
Verified email at - Homepage
Cited by
Cited by
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
International Journal of Forecasting 38 (3), 705-871, 2022
Probabilistic forecasting with temporal convolutional neural network
Y Chen, Y Kang, Y Chen, Z Wang
Neurocomputing 399, 491-501, 2020
Visualising forecasting algorithm performance using time series instance spaces
Y Kang, RJ Hyndman, K Smith-Miles
International Journal of Forecasting 33 (2), 345-358, 2017
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Y Kang, RJ Hyndman, F Li
Statistical Analysis and Data Mining: The ASA Data Science Journal 13 (4 …, 2020
Improving the accuracy of global forecasting models using time series data augmentation
K Bandara, H Hewamalage, YH Liu, Y Kang, C Bergmeir
Pattern Recognition 120, 108148, 2021
tsfeatures: Time series feature extraction
R Hyndman, Y Kang, P Montero-Manso, T Talagala, E Wang, Y Yang, ...
R package version 1 (0), 2019
Forecasting with time series imaging
X Li, Y Kang, F Li
Expert Systems with Applications 160, 113680, 2020
Forecast combinations: an over 50-year review
X Wang, RJ Hyndman, F Li, Y Kang
International Journal of Forecasting, 2022
Classes of structures in the stable atmospheric boundary layer
Y Kang, D Belušić, K Smith‐Miles
Quarterly Journal of the Royal Meteorological Society 141 (691), 2057-2069, 2015
Detecting and classifying events in noisy time series
Y Kang, D Belušić, K Smith-Miles
Journal of the Atmospheric Sciences 71 (3), 1090-1104, 2014
Distributed ARIMA models for ultra-long time series
X Wang, Y Kang, RJ Hyndman, F Li
International Journal of Forecasting 39 (3), 1163-1184, 2023
FFORMPP: Feature-based forecast model performance prediction
TS Talagala, F Li, Y Kang
International Journal of Forecasting 38 (3), 920-943, 2022
Forecast with Forecasts: Diversity Matters
Y Kang, W Cao, F Petropoulos, F Li
European Journal of Operational Research, 2021
Déjà vu: A data-centric forecasting approach through time series cross-similarity
Y Kang, E Spiliotis, F Petropoulos, N Athiniotis, F Li, V Assimakopoulos
Journal of Business Research 132, 719-731, 2021
Improving forecasting performance using covariate-dependent copula models
F Li, Y Kang
International Journal of Forecasting 34 (3), 456-476, 2018
Exploring the representativeness of the M5 competition data
E Theodorou, S Wang, Y Kang, E Spiliotis, S Makridakis, ...
International Journal of Forecasting, 2021
The uncertainty estimation of feature-based forecast combinations
X Wang, Y Kang, F Petropoulos, F Li
Journal of the Operational Research Society 73 (5), 979-993, 2022
Bayesian forecast combination using time-varying features
L Li, Y Kang, F Li
International Journal of Forecasting 39 (3), 1287-1302, 2023
Real-time change detection in time series based on growing feature quantization
Y Kang
The 2012 international joint conference on neural networks (IJCNN), 1-6, 2012
Large language models: Their success and impact
S Makridakis, F Petropoulos, Y Kang
Forecasting 5 (3), 536-549, 2023
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