Real-time change detection in time series based on growing feature quantization. - Yanfei Kang (IJCNN, 2012)

How to extract meaningful shapes from noisy time-series subsequences? - Yanfei Kang; Kate Smith-Miles; Danijel Belusic (CIDM, 2013)

Forecasting: theory and practice. - 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; et al. (CoRR, 2020)

Forecasting with time series imaging. - Xixi Li; Yanfei Kang; Feng Li 028 (Expert Syst. Appl., 2020)

Probabilistic forecasting with temporal convolutional neural network. - Yitian Chen; Yanfei Kang; Yixiong Chen; Zizhuo Wang 001 (Neurocomputing, 2020)

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. - Yanfei Kang; Rob J. Hyndman; Feng Li 028 (Stat. Anal. Data Min., 2020)

Exploring the social influence of Kaggle virtual community on the M5 competition. - Xixi Li; Yun Bai; Yanfei Kang (CoRR, 2021)

Exploring the representativeness of the M5 competition data. - Evangelos Theodorou; Shengjie Wang; Yanfei Kang; Evangelos Spiliotis; Spyros Makridakis; Vassilios Assimakopoulos (CoRR, 2021)

Enhancing the Diversity of Predictions Combination by Negative Correlation Learning. - Yun Bai; Ganglin Tian; Yanfei Kang; Suling Jia (CoRR, 2021)

Improving the accuracy of global forecasting models using time series data augmentation. - Kasun Bandara; Hansika Hewamalage; Yuan-Hao Liu; Yanfei Kang; Christoph Bergmeir (Pattern Recognit., 2021)

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. - Christoph Bergmeir; Frits de Nijs; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; Priya Galketiya; et al. (CoRR, 2022)

Forecast with forecasts: Diversity matters. - Yanfei Kang; Wei Cao; Fotios Petropoulos; Feng Li 028 (Eur. J. Oper. Res., 2022)

The uncertainty estimation of feature-based forecast combinations. - Xiaoqian Wang 014; Yanfei Kang; Fotios Petropoulos; Feng Li 028 (J. Oper. Res. Soc., 2022)

Infinite forecast combinations based on Dirichlet process. - Yinuo Ren; Feng Li 028; Yanfei Kang; Jue Wang (ICDM (Workshops), 2023)

Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization. - Guanyu Zhang; Feng Li 028; Yanfei Kang (ICDM (Workshops), 2023)

Forecasting large collections of time series: feature-based methods. - Li Li; Feng Li 028; Yanfei Kang (CoRR, 2023)

Improving forecasting by subsampling seasonal time series. - Xixi Li; Fotios Petropoulos; Yanfei Kang (Int. J. Prod. Res., 2023)

Optimal reconciliation with immutable forecasts. - Bohan Zhang; Yanfei Kang; Anastasios Panagiotelis; Feng Li 028 (Eur. J. Oper. Res., 2023)

A hybrid ensemble method with negative correlation learning for regression. - Yun Bai; Ganglin Tian; Yanfei Kang; Suling Jia (Mach. Learn., 2023)

Feature-based intermittent demand forecast combinations: accuracy and inventory implications. - Li Li; Yanfei Kang; Fotios Petropoulos; Feng Li 028 (Int. J. Prod. Res., 2023)

Combining probabilistic forecasts of intermittent demand. - Shengjie Wang; Yanfei Kang; Fotios Petropoulos (Eur. J. Oper. Res., 2024)

Discrete forecast reconciliation. - Bohan Zhang; Anastasios Panagiotelis; Yanfei Kang (Eur. J. Oper. Res., 2024)

Predict+Optimize Problem in Renewable Energy Scheduling. - Christoph Bergmeir; Frits de Nijs; Evgenii Genov; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; et al. (IEEE Access, 2025)