Talks and presentations
AI-empowered mHealth: Pioneering Applications and Overcoming Key Challenges
Invited talk, Shanghai AI Lab & Shanghai Jiao Tong University, June 2024 [Slides]
Open talk, City University of Hong Kong, July 2024 [Slides]
Sounds of COVID-19: Exploring Realistic Performance of Audio-based Digital Testing [Slides]
AI in Medicine Seminar| School of Clinical Medicine, University of Cambrdige
March, 2023
Evidential Deep Learning for Uncertainty-Aware Mobile Health [Slides]
MobiUK 2022 | UCL, London, UK
July, 2022
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening [Slides]
Annual Oxbridge Women in Computer Science Conference | Oxford, UK
May, 2022
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift [Slides]
W3PHIAI-22 workshop, in conjunction with AAAI 2022 | Online
Feb., 2022
Mobility-based Individual POI Recommendation to Control the COVID-19 Spread [Slides]
IEEE Big Data - BDA COVID-2021 Virtual Workshop | Online
Dec., 2021
Uncertainty-aware Machine Learning for Biosignal-based Healthcare Applications [Slides]
Women@CL Talks | University of Cambridge, UK
Nov., 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data [Slides]
INTERSPPECH | Online
Sep., 2021
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data [Slides]
Cambridge University Students' Clinical Research Society - Research During COVID | Online
Dec., 2021