65 citations · 70 across the 5 of their papers we have counts for
5 papers
Training Multi-layer Neural Networks on Ising Machine
Xujie Song, Tong Liu, Shengbo Eben Li +3
As a dedicated quantum device, Ising machines could solve large-scale binary optimization problems in milliseconds. There is emerging interest in utilizing Ising machines to train…
Learning Optimal Robust Control of Connected Vehicles in Mixed Traffic Flow
Jie Li, Jiawei Wang, Shengbo Eben Li +1
Connected and automated vehicles (CAVs) technologies promise to attenuate undesired traffic disturbances. However, in mixed traffic where human-driven vehicles (HDVs) also exist, t…
Information Flow Topology in Mixed Traffic: A Comparative Study between "Looking Ahead" and "Looking Behind"
Shuai Li, Haotian Zheng, Jiawei Wang +4
The emergence of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic where human-driven vehicles (HDVs) also exist, existing research mostly fo…
GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation
Keqiang Li, Mingyang Zhao, Huaiyu Wu +4
We propose a precise and efficient normal estimation method that can deal with noise and nonuniform density for unstructured 3D point clouds. Unlike existing approaches that direct…
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving
Xi Xiong, Jianqiang Wang, Fang Zhang +1
With the development of state-of-art deep reinforcement learning, we can efficiently tackle continuous control problems. But the deep reinforcement learning method for continuous c…