Control principle and error estimation for inverse trajectory method under locating error with optimization. - Shaosheng Xu; Jinde Cao; Zhuoxuan Li 001; Wenhua Qian (Math. Comput. Simul., 2022)

An Augmented Model of Rutting Data Based on Radial Basis Neural Network. - Zhuoxuan Li 001; Meng Tao; Jinde Cao; Xinli Shi; Tao Ma 001; Wei Huang 017 (Symmetry, 2023)

QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction. - Zhuoxuan Li 001; Jinde Cao; Xinli Shi; Wei Huang 017 (Soft Comput., 2023)

A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack. - Zhuoxuan Li 001; Iakov Korovin; Xinli Shi; Sergey Gorbachev; Nadezhda Gorbacheva; Wei Huang 017; Jinde Cao (IEEE CAA J. Autom. Sinica, 2023)

Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs. - Chengye Zhang; Zhuoxuan Li 001; Jinde Cao; Xinli Shi (Expert Syst. Appl., 2024)

A multidimensional framework for asphalt pavement evaluation based on multilayer network representation learning: A case study in RIOHTrack. - Hanjie Liu; Jinde Cao; Wei Huang 017; Xinli Shi; Xingye Zhou; Zhuoxuan Li 001 (Expert Syst. Appl., 2024)

Deep Reinforcement Learning Using Optimized Monte Carlo Tree Search in EWN. - Yixian Zhang; Zhuoxuan Li 001; Yiding Cao; Xuan Zhao 004; Jinde Cao (IEEE Trans. Games, 2024)

Roughness prediction of asphalt pavement using FGM(1,1 - sin) model optimized by swarm intelligence and Markov chain. - Zhuoxuan Li 001; Jinde Cao; Hairuo Shi; Xinli Shi; Tao Ma 001; Wei Huang 017 (Neural Networks, 2025)

A hybrid prediction model for stock trend based on gated recurrent unit and wavelet transform. - Zhuoxuan Li 001; Youxin Wang; Jinde Cao; Chuangxia Huang (Appl. Intell., 2025)