no code implementations • 14 Jan 2024 • Yanfang Mo, S. Joe Qin
In this paper, we propose a probabilistic reduced-dimensional vector autoregressive (PredVAR) model to extract low-dimensional dynamics from high-dimensional noisy data.
no code implementations • 29 Sep 2023 • Jiaxin Yu, Yanfang Mo, S. Joe Qin
Networked dynamic systems are ubiquitous in various domains, such as industrial processes, social networks, and biological systems.
no code implementations • 23 Sep 2023 • Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
To accomplish the above goals, we propose an intuitive and novel framework, MLPST, a pure multi-layer perceptron architecture for traffic prediction.
no code implementations • 12 Mar 2020 • Sungho Shin, Alex D. Smith, S. Joe Qin, Victor M. Zavala
In this work, we show that this algorithm is a specialized variant of a coordinate maximization algorithm.