90 citations · 187 across the 8 of their papers we have counts for
8 papers
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems
Jindi Zhang, Yifan Zhang, Kejie Lu +4
For autonomous driving, an essential task is to detect surrounding objects accurately. To this end, most existing systems use optical devices, including cameras and light detection…
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles
Jindi Zhang, Yang Lou, Jianping Wang +3
In recent years, many deep learning models have been adopted in autonomous driving. At the same time, these models introduce new vulnerabilities that may compromise the safety of a…
Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
Baoqian Wang, Junfei Xie, Kejie Lu +2
Mobile ad hoc computing (MAHC), which allows mobile devices to directly share their computing resources, is a promising solution to address the growing demands for computing resour…
A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
Yifan Zhang, Qian Xu, Jianping Wang +3
Discretionary lane change (DLC) is a basic but complex maneuver in driving, which aims at reaching a faster speed or better driving conditions, e.g., further line of sight or bette…
Joint Storage Allocation and Computation Design for Private Edge Computing
Jiqing Chang, Jin Wang, Kejie Lu +3
In recent years, edge computing (EC) has attracted great attention for its high-speed computing and low-latency characteristics. However, there are many challenges in the implement…
On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems
Baoqian Wang, Junfei Xie, Kejie Lu +2
In recent years, coded distributed computing (CDC) has attracted significant attention, because it can efficiently facilitate many delay-sensitive computation tasks against unexpec…