Yanfei Kang

Work

Beihang University

China

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Monash University

Australia

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Education

Monash University

Australia
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Publications

Discrete forecast reconciliation

European Journal of Operational Research

journal-article

Distributed ARIMA models for ultra-long time series

International Journal of Forecasting

journal-article

Combining probabilistic forecasts of intermittent demand

European Journal of Operational Research

journal-article

Combining probabilistic forecasts of intermittent demand

European Journal of Operational Research

journal-article

Forecast combinations: An over 50-year review

International Journal of Forecasting

journal-article

Large Language Models: Their Success and Impact

Forecasting

journal-article

Large Language Models: Their Success and Impact

Forecasting

journal-article

Large Language Models: Their Success and Impact

Forecasting

journal-article

Bayesian forecast combination using time-varying features

International Journal of Forecasting

journal-article

Bayesian forecast combination using time-varying features

International Journal of Forecasting

journal-article

Distributed ARIMA models for ultra-long time series

International Journal of Forecasting

journal-article

Optimal reconciliation with immutable forecasts

European Journal of Operational Research

journal-article

Optimal reconciliation with immutable forecasts

European Journal of Operational Research

journal-article

Improving forecasting by subsampling seasonal time series

International Journal of Production Research

journal-article

Improving forecasting by subsampling seasonal time series

International Journal of Production Research

journal-article

Discrete forecast reconciliation

ArXiv

journal-article

Infinite forecast combinations based on Dirichlet process

ArXiv

journal-article

Forecasting Large Collections of Time Series: Feature-Based Methods

book-chapter

Feature-based intermittent demand forecast combinations: accuracy and inventory implications

International Journal of Production Research

journal-article

A hybrid ensemble method with negative correlation learning for regression

Machine Learning

journal-article

Forecast combinations: An over 50-year review

International Journal of Forecasting

journal-article

The uncertainty estimation of feature-based forecast combinations

Journal of the Operational Research Society

journal-article

Feature-based intermittent demand forecast combinations: accuracy and inventory implications

International Journal of Production Research

journal-article

Exploring the social influence of the Kaggle virtual community on the M5 competition

International Journal of Forecasting

journal-article

Exploring the social influence of the Kaggle virtual community on the M5 competition

International Journal of Forecasting

journal-article

Forecast with forecasts: Diversity matters

European Journal of Operational Research

journal-article

Forecast with forecasts: Diversity matters

European Journal of Operational Research

journal-article

FFORMPP: Feature-based forecast model performance prediction

International Journal of Forecasting

journal-article

FFORMPP: Feature-based forecast model performance prediction

International Journal of Forecasting

journal-article

The uncertainty estimation of feature-based forecast combinations

Journal of the Operational Research Society

journal-article

Forecasting: theory and practice

International Journal of Forecasting

journal-article

Forecasting with time series imaging

Expert Systems with Applications

journal-article

Forecasting with time series imaging

Expert Systems with Applications

journal-article

D\'ej\`a vu: A data-centric forecasting approach through time series cross-similarity

ArXiv

journal-article

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

ArXiv

journal-article

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

Statistical Analysis and Data Mining

journal-article

Probabilistic forecasting with temporal convolutional neural network

Neurocomputing

journal-article

Probabilistic forecasting with temporal convolutional neural network

Neurocomputing

journal-article

Probabilistic forecasting with temporal convolutional neural network

Neurocomputing

journal-article

The uncertainty estimation of feature-based forecast combinations

ArXiv

journal-article

Forecasting with time series imaging

ArXiv

journal-article

Improving forecasting performance using covariate-dependent copula models

International Journal of Forecasting

journal-article

Improving forecasting performance using covariate-dependent copula models

International Journal of Forecasting

journal-article

Improving forecasting performance using covariate-dependent copula models

ArXiv

journal-article

Visualising forecasting algorithm performance using time series instance spaces

International Journal of Forecasting

journal-article

Visualising forecasting algorithm performance using time series instance spaces

International Journal of Forecasting

journal-article

DETECTION, CLASSIFICATION AND ANALYSIS OF EVENTS IN TURBULENCE TIME SERIES

Bulletin of the Australian Mathematical Society

journal-article

Classes of structures in the stable atmospheric boundary layer

Quarterly Journal of the Royal Meteorological Society

journal-article

Classes of structures in the stable atmospheric boundary layer

Quarterly Journal of the Royal Meteorological Society

journal-article

DETECTION, CLASSIFICATION AND ANALYSIS OF EVENTS IN TURBULENCE TIME SERIES

Bulletin of the Australian Mathematical Society

journal-article

Detecting and Classifying Events in Noisy Time Series

Journal of the Atmospheric Sciences

journal-article

A note on the relationship between turbulent coherent structures and phase correlation

Chaos

journal-article

A note on the relationship between turbulent coherent structures and phase correlation

Chaos

journal-article

Detecting and classifying events in noisy time series

Journal of the Atmospheric Sciences

journal-article

How to extract meaningful shapes from noisy time-series subsequences?

Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

conference-paper

How to Extract Meaningful Shapes from Noisy Time-Series Subsequences?

IEEE Symposium on Computational Intelligence and Data Mining (CIDM)

conference-paper

Real-time change detection in time series based on growing feature quantization

Proceedings of the International Joint Conference on Neural Networks

conference-paper

Real-time change detection in time series based on Growing Feature Quantization

International Joint Conference on Neural Networks (IJCNN)

conference-paper