Least Squares Approximation for a Distributed System. - Xuening Zhu; Feng Li 028; Hansheng Wang 002 (CoRR, 2019)

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)

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

Least-Square Approximation for a Distributed System. - Xuening Zhu; Feng Li 028; Hansheng Wang 002 (J. Comput. Graph. Stat., 2021)

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)

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

Optimal starting point for time series forecasting. - Yiming Zhong; Yinuo Ren; Guangyao Cao; Feng Li 028; Haobo Qi (Expert Syst. Appl., 2025)