Xianghua Xie
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United KingdomResearch Interests
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About
Professor Xianghua Xie is a faculty member at Swansea University in the United Kingdom (country code 44). His research primarily focuses on machine learning, particularly in the areas of semantic segmentation, lung nodule detection, and federated learning. Recent publications include innovative methods such as Class Activation Map guided level sets and multi-level topology representation for clustering. He also explores advanced techniques in adversarial defense and vehicle detection using LiDAR sensors.
Recent Grants
Grant: Close
Advanced Machine Learning to Improve Patient Care and Outcome using Real-time Hospitalisation Data
Open Date: 2020-09-30
Close Date: 2024-09-29
Grant: Close
Detecting Steel Surface Properties using Machine Learning
Open Date: 2020-09-30
Close Date: 2024-09-29
Grant: Close
Understanding the Relevance of Biomarkers in Rare Disease using Machine Learning
Open Date: 2019-09-30
Close Date: 2023-09-29
Grant: Open
EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems
Open Date: 2019-03-31
Close Date: 2027-09-29
Grant: Close
Understanding and predicting falls of people living with dementia
Open Date: 2018-09-30
Close Date: 2019-09-29
Articles (16)
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2025
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2021
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2021
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2021
Collaborators (5)
Mohammed Ali
-
Benjamin Mora
Associate Professor
Swansea University
Mohammed Bennamoun
University of Western Australia
Mark W. Jones
Professor
Swansea University
Gary KL Tam
Senior Lecturer
Swansea University
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