93 citations · 100 across the 7 of their papers we have counts for
7 papers
Shuffled Differentially Private Federated Learning for Time Series Data Analytics
Chenxi Huang, Chaoyang Jiang, Zhenghua Chen
Trustworthy federated learning aims to achieve optimal performance while ensuring clients' privacy. Existing privacy-preserving federated learning approaches are mostly tailored fo…
UMS-VINS: United Monocular-Stereo Features for Visual-Inertial Tightly Coupled Odometry
Chaoyang Jiang, Xiaoni Zheng, Zhe Jin +1
This paper introduces the united monocular-stereo features into a visual-inertial tightly coupled odometry (UMS-VINS) for robust pose estimation. UMS-VINS requires two cameras and…
Range-Aided LiDAR-Inertial Multi-Vehicle Mapping in Degenerate Environment
Zhe Jin, Chaoyang Jiang
This paper presents a range-aided LiDAR-inertial multi-vehicle mapping system (RaLI-Multi). Firstly, we design a multi-metric weights LiDAR-inertial odometry by fusing observations…
Learning based Predictive Error Estimation and Compensator Design for Autonomous Vehicle Path Tracking
Chaoyang Jiang, Hanqing Tian, Jibin Hu +3
Model predictive control (MPC) is widely used for path tracking of autonomous vehicles due to its ability to handle various types of constraints. However, a considerable predictive…
CFD results calibration from sparse sensor observations with a case study for indoor thermal map
Chaoyang Jiang, Yeng Chai Soh, Hua Li +4
Current CFD calibration work has mainly focused on the CFD model calibration. However no known work has considered the calibration of the CFD results. In this paper, we take inspir…
Indoor occupancy estimation from carbon dioxide concentration
Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh +1
This paper presents an indoor occupancy estimator with which we can estimate the number of real-time indoor occupants based on the carbon dioxide (CO2) measurement. The estimator i…
Sensor placement by maximal projection on minimum eigenspace for linear inverse problems
Chaoyang Jiang, Yeng Chai Soh, Hua Li
This paper presents two new greedy sensor placement algorithms, named minimum nonzero eigenvalue pursuit (MNEP) and maximal projection on minimum eigenspace (MPME), for linear inve…