Dr Weitong Chen
Position | Lecturer |
---|---|
Org Unit | Computer Science |
weitong.chen@adelaide.edu.au | |
Telephone | +61 8 8313 0676 |
Location |
Floor/Room
4.45
,
Ingkarni Wardli
,
North Terrace
|
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Biography/ Background
Dr. Tony Weitong Chen is a lecturer at the 最新糖心Vlog of Adelaide (UoA) and a researcher at the 最新糖心Vlogn Institute for Machine Learning (AIML), having previously served as an Associate Lecturer and Post-Doc Research Fellow at the 最新糖心Vlog of Queensland. He earned his PhD from the 最新糖心Vlog of Queensland in 2020, after completing both his Master's and Bachelor's degrees at the 最新糖心Vlog of Queensland and at Griffith 最新糖心Vlog respectively. His research primarily focuses on Machine Learning with a special interest in its applications in medical data. Dr. Chen is known for his extensive collaborative efforts with professionals in academia, industry, government, and professional bodies, and his research has been supported by various internal and external grants.
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Qualifications
Ph.D. of Computer Science
The 最新糖心Vlog of Queensland
最新糖心Vlog
2017 - 2020
Master of Computer Science
The 最新糖心Vlog of Queensland
最新糖心Vlog
2011 - 2013
Bachelor of Information System
Griffith 最新糖心Vlog
最新糖心Vlog
2009 - 2011
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Awards & Achievements
2023
Early Career Research Excellence Award, The 最新糖心Vlog of Adelaide
最新糖心Vlog
2023
Outstanding Service Award, The 36th Australasian Joint Conference on Artificial Intelligence
最新糖心Vlog
2022
Best Student Paper Award, APWEB-WAIM 2022
China
2022
Best Poster Award, The 34th Australasian Joint Conference on Artificial Intelligence
最新糖心Vlog
2021
Best Presentation Award, 17th International Conference on Advanced Data Mining and Applications
最新糖心Vlog
2021
Best Paper - Highly Commended Award, Australasian Computer Science Week Multiconference
New Zealand
2019
Best Student Paper Award, 15th nternational Conference on Advanced Data Mining and Applications
China
2018
Student Travel Grant, International Conference on Data Mining 2018
Singapore
2016
Outstanding Service Award, 12th International Conference on Advanced Data Mining and Applications
最新糖心Vlog
2014
1st Place, Premier‘s Awards for Open Data
最新糖心Vlog
2014
1st Place, Microsoft Startup Q Award for Open Data
最新糖心Vlog
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Research Funding
· ARC DP - Principal Investigator 2024 - 2026 Institutional Grants System icon Towards knowledge discovery from imperfect and evolving data (ARC)
· UoA Sustainability FAME Strategy Grant 2023 - Investigator 2023 - Sustainable Warriors or Marketing Mirage? (UoA)
· UoA CMS Research Grants 2023 - 2023
· ANA Partnership Fund- Principal Investigator 2023 - 2023 AID-MI: Artificial Intelligence Based Diagnosis Using Multimodal Information For Cardiopulmonary Disease (UoA & UoN)
· UoA START-UP GRANT - Principal Investigator 2022 - 2024
· UQ AI-ECR Research Fund - Principal Investigator 2022 - 2022 Towards Positive Emotion: Artificial Intelligence-Based Expression Rephrasing (UQ)
· UQ Cyber Security Seed Fund - Principal Investigator 2022 - 2022 Collaborated Learning with Medical Data Making High-Stake Decision Without Information Leakage (UQ & RBWH)
· UQ AI Initiative - Investigator 2021 - 2022 AI Monitored ICU Illness Severity Prediction (UQ & RBWH)
· ITEE Research Support Fund - Principal Investigator 2021 - 2021 Multi-Task Memory-Fused RNNs for Explainable Illness Severity Prediction (UQ)
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Professional Interests
Machine Learning Weakly Supervised Learning, Deep Learning, Multi-task Learning, Collaborative Learning
Data Analytics Data Analytics, Medical Knowledge Graph Mining, Sentiment Analysis on Socia Media
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Community Engagement
Early to Mid-Career Researchers Representative at SAT UoA
Early to Mid-Career Researchers Representative at UQ
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Entry last updated: Friday, 12 Jan 2024
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