4 citations · 8 across the 4 of their papers we have counts for
4 papers
Towards Efficient Architecture and Algorithms for Sensor Fusion
Zhendong Wang, Xiaoming Zeng, Shuaiwen Leon Song +1
The safety of an automated vehicle hinges crucially upon the accuracy of perception and decision-making latency. Under these stringent requirements, future automated cars are usual…
Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System
Zhendong Wang, Xiaoming Zeng, Xulong Tang +3
The deep neural network (DNN) models are deemed confidential due to their unique value in expensive training efforts, privacy-sensitive training data, and proprietary network chara…
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving
Xiaoming Zeng, Zhendong Wang, Yang Hu
Autonomous driving demands accurate perception and safe decision-making. To achieve this, automated vehicles are now equipped with multiple sensors (e.g., camera, Lidar, etc.), ena…
Group-Agent Reinforcement Learning
Kaiyue Wu, Xiao-Jun Zeng
It can largely benefit the reinforcement learning (RL) process of each agent if multiple geographically distributed agents perform their separate RL tasks cooperatively. Different…