2 citations · 5 across the 6 of their papers we have counts for
6 papers
Scenario-Agnostic Deep-Learning-Based Localization with Contrastive Self-Supervised Pre-training
Lingyan Zhang, Yuanfeng Qiu, Dachuan Li +3
Wireless localization has become a promising technology for offering intelligent location-based services. Although its localization accuracy is improved under specific scenarios, t…
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles
Shengduo Chen, Yaowei Sun, Dachuan Li +3
Providing safety guarantees for Autonomous Vehicle (AV) systems with machine-learning-based controllers remains a challenging issue. In this work, we propose Simplex-Drive, a frame…
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization
Shuai Wang, Dachuan Li, Rui Wang +3
Wireless federated learning (FL) is an emerging machine learning paradigm that trains a global parametric model from distributed datasets via wireless communications. This paper pr…
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
Liuhui Ding, Dachuan Li, Bowen Liu +5
Uncertainties in Deep Neural Network (DNN)-based perception and vehicle's motion pose challenges to the development of safe autonomous driving vehicles. In this paper, we propose a…
Safe and efficient collision avoidance control for autonomous vehicles
Qiang Wang, Dachuan Li, Joseph Sifakis
We study a novel principle for safe and efficient collision avoidance that adopts a mathematically elegant and general framework abstracting as much as possible from the controlled…
Learning Centric Wireless Resource Allocation for Edge Computing: Algorithm and Experiment
Liangkai Zhou, Yuncong Hong, Shuai Wang +4
Edge intelligence is an emerging network architecture that integrates sensing, communication, computing components, and supports various machine learning applications, where a fund…