Xiaowei Hu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Xiaowei Hu 001 (Shanghai AI Laboratory, China)
- Xiaowei Hu 002 (Air Force Engineering University, Xi'an, China)
- Xiaowei Hu 003 (Nankai University, Nankai, China)
- Xiaowei Hu 004 (Tsinghua University, Beijing National Center for Information Science and Technology, Beijing, China)
- Xiaowei Hu 005 (University of Duisburg-Essen, Duisburg, Germany)
- Xiaowei Hu 006 (Microsoft Corporation, Redmont, USA)
- Xiaowei Hu 007 (Harbin Institute of Technology, Harbin, China)
- Xiaowei Hu 008 (China Jiliang University, Hang Zhou, China)
- Xiaowei Hu 009 (University of Alberta, Edmonton, Canada)
- Xiaowei Huang
- Xiaowei Huang 001 (University of Liverpool, UK)
- Xiaowei Huang 002 (Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China)
- Xiaowei Huang 003 (Wuhan University of Technology, Wuhan, China)
- Xiaowei Huo
Bibliography
2024
Optimal Dispatcher Number for One-Way Carsharing Services Considering Break Requirement.
IEEE Trans. Intell. Transp. Syst., June, 2024
Trajectory Planning for Multiple Autonomous Vehicles at Short-Distance Tandem Signalized Intersections Based on Rule-Free Framework.
Adv. Intell. Syst., June, 2024
Phase Error Reduction for a Structured-Light 3D System Based on a Texture-Modulated Reprojection Method.
Sensors, April, 2024
2023
Crowdsourcing-based high-precision Bluetooth indoor location method for adapting to environmental dynamics.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
2022
Managing the Morning Commute Problem with Tradable Credit Schemes under a Fully Autonomous Vehicle Environment.
Syst., 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Evaluation of Transportation Logistics Development Based on Fuzzy Matter-Element Analysis: A Case Study of Heilongjiang Province.
Proceedings of the 2022 4th International Conference on E-Business and E-Commerce Engineering, 2022
2021
Sensors, 2021
CoRR, 2021
2020
Compressive Hyperspectral Image Reconstruction Based on Spatial-Spectral Residual Dense Network.
IEEE Geosci. Remote. Sens. Lett., 2020
2018
Patch-Based Residual Networks for Compressively Sensed Hyperspectral Images Restruction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2014
Using Support Vector Machine to Identify Imaging Biomarkers of Major Depressive Disorder and Anxious Depression.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014