Publications

Corresponding author is marked with an asterisk (*).

12. Xiaoqian Wang, Yanfei Kang, Feng Li (2026). Finding Wisdom in the Crowd: Adaptive Accuracy-Diversity Trimming for Forecast Combinations.

11. Jesus Uriel Diaz-Martinez, Xiaoqian Wang*, Paula Moraga (2026). Conformal Prediction Tools in R. The R Journal, Vol. 18(2), pp. 202-221.

PDF DOI

10. Fangyu Cao, Jingxin Wang, Xiaoqian Wang, Weijun Liao, Chunan Wang (2026). Uncertainty in CORSIA: assessing impacts of BASIC’s withdrawal on carbon offsetting. Transportation Research Part A: Policy and Practice, Vol. 209, pp. 105009.

DOI

9. Weijun Liao, Shuai Yue, Xiaoqian Wang, Fangyu Cao, Qing Ji, Chunan Wang, Ying Fan (2026). Uneven skies: long-term global inventory and equity analysis of aviation emissions. Transportation Research Part D: Transport and Environment, Vol. 154, pp. 105286.

DOI

8. Xiaoqian Wang*, Rob J Hyndman (2026). Online conformal inference for multi-step time series forecasting. arXiv.

PDF Code

7. Yingjie Zhou, Xiaoqian Wang*, Tao Li (2025). Distributed Online Economic Dispatch With Time-Varying Supply-Demand Constraints. arXiv.

PDF

6. Xiaoqian Wang*, Rob J Hyndman, Shanika L Wickramasuriya (2025). Optimal forecast reconciliation with time series selection. European Journal of Operational Research, Vol. 323(2), pp. 455-470.

PDF Code DOI

5. Nuwani K Palihawadana, Rob J Hyndman, Xiaoqian Wang* (2024). Sparse Multiple Index Models for High-dimensional Nonparametric Forecasting. Monash Econometrics and Business Statistics Working Papers.

PDF Code

4. Xiaoqian Wang, Rob J Hyndman, Feng Li, Yanfei Kang (2023). Forecast combinations: an over 50-year review. International Journal of Forecasting, Vol. 39(4), pp. 1518-1547. IJF Best Paper for 2022-2023; ESI Highly Cited Paper.

PDF Code DOI

3. Xiaoqian Wang, Yanfei Kang, Rob J Hyndman, Feng Li (2023). Distributed ARIMA models for ultra-long time series. International Journal of Forecasting, Vol. 39(3), pp. 1163-1184.

PDF Code DOI

2. Xiaoqian Wang, Yanfei Kang, Fotios Petropoulos, Feng Li (2022). The uncertainty estimation of feature-based forecast combinations. Journal of the Operational Research Society, Vol. 73(5), pp. 979-993.

PDF Code DOI

1. 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, M. 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, Konstantia Litsiou, Spyros Makridakis, Gael M. Martin, Andrew B. Martinez, Sheik Meeran, Theodore Modis, Konstantinos Nikolopoulos, Dilek Önkal, Alessia Paccagnini, Anastasios Panagiotelis, Ioannis Panapakidis, Jose M. Pavía, Manuela Pedio, Diego J. Pedregal, Pierre Pinson, Patrícia Ramos, David E. Rapach, J. James Reade, Bahman Rostami-Tabar, Michał Rubaszek, Georgios Sermpinis, Han Lin Shang, Evangelos Spiliotis, Aris A. Syntetos, Priyanga Dilini Talagala, Thiyanga S. Talagala, Len Tashman, Dimitrios Thomakos, Thordis Thorarinsdottir, Ezio Todini, Juan Ramón Trapero Arenas, Xiaoqian Wang, Robert L. Winkler, Alisa Yusupova, Florian Ziel (2022). Forecasting: theory and practice. International Journal of Forecasting, Vol. 38(3), pp. 705-871. ESI Highly Cited Paper.

PDF DOI