Wenyong Zhang

Mamba-CorRL: Mamba-correlation graph convolutional networks with reinforcement learning for traffic flow prediction

Yan Chen, Dawen Xia, Yanmin Liu, Fuchu Zhang et autres

cn (code pays fourni par la source)

Enhancing the ORR durability of single atomic Fe-N4 active sites with implanted SiO2 nanoparticles as radical and H2O2 inhibitors

Maosong Liu, Zhihao Lei, Xianhe Lv, Xiaoxue Song et autres

Highly efficient and durable single-atom catalysts (SACs) hold great promise for improving oxygen reduction reaction (ORR) in metal-air batteries and fuel cells. However, their long-term stability is challenged by the byproducts such as H2O2 and undesirable radicals. Herein, we report a Fe-N4 …

cn, au, sg, ca (code pays fourni par la source)

A generalizable Bayesian framework for multimodal data assimilation

Yubo Hou, Wenyong Zhang, Shitong Xiang, Jianfeng Feng et autres

cn, ru (code pays fourni par la source)

DRL-ED: A deep reinforcement learning with encoder–decoder method for traffic flow prediction

Dawen Xia, Yan Chen, Wenyong Zhang, Xiaoduo Wei et autres

cn (code pays fourni par la source)

Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic Flow Prediction

Yan Chen, Dawen Xia, Hu Yang, Wenyong Zhang et autres

cn (code pays fourni par la source)

Simulation and assimilation of the digital human brain

Wenlian Lu, Xin Du, Jiexiang Wang, Longbin Zeng et autres

cn, gb (code pays fourni par la source)

On a framework of data assimilation for hyperparameter estimation of spiking neuronal networks

Wenyong Zhang, Boyu Chen, Jianfeng Feng, Wenlian Lu

cn (code pays fourni par la source)

Deep Diffusion Kalman Filter Combining Large-Scale Neuronal Networks Simulation with Multimodal Neuroimaging Data

Wenyong Zhang, Wenlian Lu

Using computers to numerically simulate large-scale neuronal networks has become a common method for studying the mechanism of the human brain, and neuroimaging has brought forth multimodal brain data. Determining how to fully consider these multimodal data in the process of brain …

cn (code pays fourni par la source)

A two-step framework for arbitrage-free prediction of the implied volatility surface

Wenyong Zhang, Lingfei Li, Gongqiu Zhang

In this study, we propose a two-step framework to predict the implied volatility surface (IVS) in a manner that excludes static arbitrage. First, we select features to represent the surface and predict them. Second, we use the predicted features to construct the …

hk, cn (code pays fourni par la source)

On a framework of data assimilation for neuronal networks

Wenyong Zhang, Boyu Chen, Jianfeng Feng, Wenlian Lu

When handling real-world data modeled by a complex network dynamical system, the number of the parameters is always even much more than the size of the data. Therefore, in many cases, it is impossible to estimate these parameters and however, the exact …