no code implementations • 26 Sep 2017 • Wenwen Tu, Feng Xiao, Liping Fu, Guangyuan Pan
A total of 747, 856 sets of data are generated and used for both traffic flow states classification and sensitivity analysis of input variables.
no code implementations • 15 Apr 2019 • Feng Xiao, Dapeng Zhang, Gang Kou, Lu Li
To collectively forecast the demand for ride-sourcing services in all regions of a city, the deep learning approaches have been applied with commendable results.
no code implementations • 30 Dec 2019 • Feng Xiao, Qiang Xu
Considering the attacks against industrial control system are mostly organized and premeditated actions, IP traceback is significant for the security of industrial control system.
no code implementations • 23 Sep 2020 • Xiao Yan, Gang Kou, Feng Xiao, Dapeng Zhang, Xianghua Gan
Spatial and temporal features are critical for demand forecasting in BSSs, but it is challenging to extract spatiotemporal dynamics.
no code implementations • 9 Jul 2023 • Feng Xiao, Ruoyu Sun, Jicong Fan
The core idea is to learn a mapping to transform the unknown distribution of training (normal) data to a known target distribution.
no code implementations • 13 Mar 2024 • Hongbin Xu, Weitao Chen, Feng Xiao, Baigui Sun, Wenxiong Kang
In this paper, we introduce StyleDyRF, a method that represents the 4D feature space by deforming a canonical feature volume and learns a linear style transformation matrix on the feature volume in a data-driven fashion.
no code implementations • 13 Mar 2024 • Feng Xiao, Hongbin Xu, Qiuxia Wu, Wenxiong Kang
3D visual grounding aims to automatically locate the 3D region of the specified object given the corresponding textual description.
no code implementations • 31 Mar 2024 • Jiamin Wang, Jian Liu, Feng Xiao, Ning Xi, Yuanshi Zheng
Motivated by widespread dominance hierarchy, growth of group sizes, and feedback mechanisms in social species, we are devoted to exploring the scalable second-order consensus of hierarchical groups.