Probabilistic forecasting of traffic flow using kernel based extreme learning maching and quantum-bahaved particle swarm optimization. - Yiming Xing; Xiaojuan Ban; Chong Guo; Yu Wang 067 (CCIS, 2016)

Probabilistic Forecasting of Traffic Flow Using Multikernel Based Extreme Learning Machine. - Yiming Xing; Xiaojuan Ban; Chong Guo (Sci. Program., 2017)

基于核超限学习机群组算法的交通拥堵预测 (Traffic Congestion Prediction Based on Kernel Extreme Learning Machine Group Algorithm). - Yiming Xing; Xiaojuan Ban; Xu Liu 020; Hang Yin; Qing Shen (计算机科学, 2019)

Large-Scale Traffic Congestion Prediction Based on the Symmetric Extreme Learning Machine Cluster Fast Learning Method. - Yiming Xing; Xiaojuan Ban; Xu Liu 020; Qing Shen (Symmetry, 2019)

Asymptotically optimal multistage tests for iid data. - Yiming Xing; Georgios Fellouris (ISIT, 2022)

Performance analysis of least squares algorithm for multivariable stochastic systems. - Ziming Wang; Yiming Xing; Xinghua Zhu (Kybernetika, 2023)

Signal Recovery With Multistage Tests and Without Sparsity Constraints. - Yiming Xing; Georgios Fellouris (IEEE Trans. Inf. Theory, 2023)

Asymptotically optimal multistage tests for multihypothesis testing. - Yiming Xing; Georgios Fellouris (ISIT, 2024)

High-Dimensional Sequential Testing of Multiple Hypotheses. - Yiming Xing; Shen Yan; Ziming Wang (ITW, 2024)

Residual channel prior-guided multi-scale progressive dehazing network with hybrid attention. - Yiming Xing; Jindong Zhang (Multim. Syst., 2025)