11 citations · 13 across the 4 of their papers we have counts for
5 papers
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data
Yichen Ding, Ziming Zhang, Yanhua Li +1
Speed-control forecasting, a challenging problem in driver behavior analysis, aims to predict the future actions of a driver in controlling vehicle speed such as braking or acceler…
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Bang An, Amin Vahedian, Xun Zhou +2
Traffic accident forecasting is a significant problem for transportation management and public safety. However, this problem is challenging due to the spatial heterogeneity of the…
-GAIL: Learning -Divergence for Generative Adversarial Imitation Learning
Xin Zhang, Yanhua Li, Ziming Zhang +1
Imitation learning (IL) aims to learn a policy from expert demonstrations that minimizes the discrepancy between the learner and expert behaviors. Various imitation learning algori…
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
Guojun Wu, Yanhua Li, Zhenming Liu +4
Many real-world human behaviors can be characterized as a sequential decision making processes, such as urban travelers choices of transport modes and routes (Wu et al. 2017). Diff…
Adaptive Reduced Rank Regression
Qiong Wu, Felix Ming Fai Wong, Zhenming Liu +2
We study the low rank regression problem $\my = M\mx + ε$, where $\mx$ and $\my$ are and dimensional vectors respectively. We consider the extreme high-dimensional sett…