A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network. - Hui Liu 023; Chengming Yu; Chengqing Yu; Chao Chen; Haiping Wu (Adv. Eng. Informatics, 2020)

A New Multipredictor Ensemble Decision Framework Based on Deep Reinforcement Learning for Regional GDP Prediction. - Qingwen Li; Chengming Yu; Guangxi Yan (IEEE Access, 2022)

Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China. - Chengqing Yu; Guangxi Yan; Chengming Yu; Xiwei Mi (Appl. Soft Comput., 2023)

Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm. - Wei Yao; Chengming Yu; Shangzhi Zeng; Jin Zhang (ICLR, 2024)

An Ensemble Convolutional Recursive Neural Network Based on Deep Reinforcement Learning for Traffic Volume Forecasting. - Xiaomin Pu; Pancheng Liu; Wei Kang; Chengming Yu (IEEE Access, 2024)

MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction. - Chengqing Yu; Guangxi Yan; Chengming Yu; Xinwei Liu; Xiwei Mi (Inf. Sci., 2024)

qNBO: quasi-Newton Meets Bilevel Optimization. - Sheng Fang; Yongjin Liu; Wei Yao; Chengming Yu; Jin Zhang (ICLR, 2025)

A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization. - Tianshu Chu; Dachuan Xu; Wei Yao; Chengming Yu; Jin Zhang (CoRR, 2025)