(1) Xingxuan Zhuo; Jianjiang Ye; Han Liu*; Feng Lin. Analyzing dynamics of crude oil price amid sudden events and intervention measures: Insights from a Prophet-QR model [J]. Applied Energy, 2025, 401: 126715.
(2) Xingxuan Zhuo; Fangyun Zhang; Houying Long; Feng Lin. Unveiling the drivers of high-frequency carbon price dynamics: A nonlinear fusion approach with irregular events and mixed-frequency data [J]. Energy, 2025, 335: 137929.
(3) Xingxuan Zhuo; Liuqing Lin; Jiefang Lian. Spatiotemporal analysis of the dynamic evolution and driving factors of trade networks in the Belt and Road countries [J]. Social Networks, 2025, 82: 80-98.
(4) Han Liu, Lijun Wang, Xingxuan Zhuo*, Unveiling the shadows: The effects of financial conditions on the tail risks of China's macroeconomic activities, Economic Analysis and Policy, 2025, 85: 1-14.
(5) Xingxuan Zhuo; Shunfei Luo; Yan Cao. Exploring multi-source high-dimensional mixed-frequency risks in the stock market: A group penalized reverse unrestricted mixed data sampling approach [J]. Journal of Forecasting, 2025, 44(2): 459-473.
(6) Bo Shao, Xiaoli Su, Xin Li, Xingxuan Zhuo*, Mixed-frequency data-driven forecasting port throughput: A novel attention-DeepAR-MIDAS model, International Journal of Shipping and Transport Logistics, 2025, 20(3): 338-358.
(7) Ming Yin, Feiya Lu, Xingxuan Zhuo*, Wangzi Yao, Jialong Liu, Jijiao Jiang; Prediction of daily tourism volume based on mRMR feature selection and LSTM network, Journal of Forecasting, 2024, 43(2), 344-365.
(8) Feng Lin; Yongyan Shi; Xingxuan Zhuo*; Optimizing order policy and credit term for items with inventory-level-dependent demand under trade credit limit, Journal of Management Science and Engineering, 2023, 8(4), 413-429.
(9) 刘汉; 刘营; 卓杏轩*; 基于高维混频信息甄选的宏观经济总量实时预报与短期预测, 《经济学》(季刊), 2023, 23(3), 294-312.
(10) Feng Lin; Peng Wu; Jinzhao Shi; Tao Jia; Xingxuan Zhuo*; Impacts of expiration date on optimal ordering policy for deteriorating items under two-level trade credit: quantity loss and quality loss, Journal of the Operational Research Society, 2022, 73(6), 1393-1410.
(11) Qifa Xu; Shuting Liu; Cuixia Jiang*; Xingxuan Zhuo. QRNN-MIDAS: A novel quantile regression neural network for mixed sampling frequency data[J]. Neurocomputing, 2021, 457: 84-105.
(12) Feng Lin; Xibei Qin; Xujin Pu*; Weiwei Zhu; Xingxuan Zhuo; Effects of in-house production on channel structures in a co-opetitive supply chain under supply uncertainty, Omega, 2021, 103: 102426.
(13) Xu, Qifa; Zhuo, Xingxuan; Jiang, Cuixia*; Sun, Fang; Huang, Xue; Reverse restricted MIDAS model with application to US interest rate forecasts, Communications in Statistics - Simulation and Computation, 2021, 50(2): 462-482.
(14) 许启发; 卓杏轩; 蒋翠侠*; 基于反向有约束混频数据模型的市场化利率预测, 管理科学学报, 2019, 22(10): 55-71.
(15) Qifa Xu; Xingxuan Zhuo; Cuixia Jiang*; Yezheng Liu; An artificial neural network for mixed frequency data, Expert Systems with Applications, 2019, 118:127-139.
(16) Xu, Qifa; Zhuo, Xingxuan; Jiang, Cuixia*; Liu, Xi; Liu, Yezheng; Group penalized unrestricted mixed data sampling model with application to forecasting US GDP growth , Economic Modelling, 2018, 75: 221-236.
