Yiming Xing

According to our database, Yiming Xing authored at least 15 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Active Hypothesis Testing for Correlated Combinatorial Anomaly Detection.

Zichuan Yang, Yiming Xing

CoRR, January, 2026

To minimize the expected total sampling cost in sequential testing about a random vector.

Yiming Xing

J. Multivar. Anal., 2026

2025

Residual channel prior-guided multi-scale progressive dehazing network with hybrid attention.

Yiming Xing, Jindong Zhang

Multim. Syst., April, 2025

Adaptive 3-Stage Procedures for Multi-Hypothesis Testing.

Yiming Xing, Georgios Fellouris

Proceedings of the IEEE International Symposium on Information Theory, 2025

From Policy Comparison to Process Consistency and Beyond.

Yifan Xu, Yujia Yin, Yiming Xing, Yifan Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

PTP-PGAT: Partition Transition Probability and Pretraining Graph Attention Networks for Trajectory Representation.

Yulong Jiang, Yiming Xing, Jiajia Li, Jing Zhang, Ying Zhao, Anzhen Zhang

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024

High-Dimensional Sequential Testing of Multiple Hypotheses.

Yiming Xing, Shen Yan, Ziming Wang

Proceedings of the IEEE Information Theory Workshop, 2024

Asymptotically optimal multistage tests for multihypothesis testing.

Yiming Xing, Georgios Fellouris

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Signal Recovery With Multistage Tests and Without Sparsity Constraints.

Yiming Xing, Georgios Fellouris

IEEE Trans. Inf. Theory, November, 2023

Performance analysis of least squares algorithm for multivariable stochastic systems.

Ziming Wang, Yiming Xing, Xinghua Zhu

Kybernetika, 2023

2022

Asymptotically optimal multistage tests for iid data.

Yiming Xing, Georgios Fellouris

Proceedings of the IEEE International Symposium on Information Theory, 2022

2019

Large-Scale Traffic Congestion Prediction Based on the Symmetric Extreme Learning Machine Cluster Fast Learning Method.

Yiming Xing, Xiaojuan Ban, Xu Liu, Qing Shen

Symmetry, 2019

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, Hang Yin, Qing Shen

计算机科学, 2019

2017

Probabilistic Forecasting of Traffic Flow Using Multikernel Based Extreme Learning Machine.

Yiming Xing, Xiaojuan Ban, Chong Guo

Sci. Program., 2017

2016

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

Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016