Yuqi Wu

About Me

I am currently a Ph.D. Candidate specializing in Biomedical Engineering and Aritificial Intelligence at the University of Alberta supervised by Dr. Jie Chen. My research focuses on leveraging AI and large language models for mental health diagnostics/intervention and Psychological Simulation (Digital Twin for Psychiatry).

Education

• Ph.D. in Electrical Engineering (Biomedical Engineering) University of Alberta, 2022 - Present
• BSc. in Electrical Engineering (Nano) with Math Minor University of Alberta, 2017 - 2022

Research Experience

Research Assistant, Fudan University

LLM, Conversational Diagnosis, Digital Twin for Psychiatry, Social Simulation, Commercialization.

Ph.D. Student, University of Alberta

LLM, Conversational Diagnosis, Digital Twin for Psychiatry, Social Simulation, Commercialization.

Research Assistant Co-op, University of Alberta

Process Control, Reinforcement Learning, PID Tuning.

Publications

• Wan G, Wu Y, Chen J, Li S. CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction. arXiv preprint arXiv:2408.13940. 2024 Aug 25.
• Wan G, Wu Y, Chen J, Li S. Dynamic Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling. arXiv preprint arXiv:2408.17017. 2024 Aug 30.
• Wang Z, Wu Y, Wang S, Chen J, Wang X. A Highly Integrated Wearable System For Real-Time Fall Detection Empowered by Edge AI. In 2024 IEEE BioCAS. 2024 Oct 24. IEEE.
• Wu Y, Mao K, Zhang Y, Chen J. CALLM: Enhancing Clinical Interview Analysis through Data Augmentation with Large Language Models. IEEE Journal of Biomedical and Health Informatics. 2024 Jul 29.
• Wan G, Wu Y, Hu M, Chu Z, Li S. Bridging causal discovery and large language models: A comprehensive survey of integrative approaches and future directions. arXiv preprint arXiv:2402.11068. 2024 Feb 16.
• Wu Y, Huang W, Ye X, Chen J. AīCare: An Affordable, Reliable, and Intelligent Senior Care Ecosystem. In 2023 IEEE BioCAS. 2023 Oct 18 (pp. 1). IEEE.
• Wu Y, Mao K, Zhang Y, Chen J. Automatic Post-Traumatic Stress Disorder Diagnosis via Clinical Transcripts: A Novel Text Augmentation with Large Language Models. In 2023 IEEE BioCAS. 2023 Oct 18 (pp. 1-5). IEEE.
• Mao K, Wu Y, Chen J. A systematic review on automated clinical depression diagnosis. npj Mental Health Research. 2023 Nov 20;2(1):20.
• Wu Y, Mao K, Dennett L, Zhang Y, Chen J. Systematic review of machine learning in PTSD studies for automated diagnosis evaluation. npj Mental Health Research. 2023 Sep 27;2(1):16.
• Dogru O, Velswamy K, Ibrahim F, Wu Y, Sundaramoorthy AS, Huang B, Xu S, Nixon M, Bell N. Reinforcement learning approach to autonomous PID tuning. Computers & Chemical Engineering. 2022 May 1;161:107760.

Academic Activities

• 2024 Conference on AI, ML, and Business Analytics, Yale University
• 2024 Workshop on Information Technologies and Systems, Bangkok
• 2024 University of Alberta Research Day poster presentation
• 2024 IEEE BioCAS Conference reviewer and poster presentation
• 2024 IEEE BioCAS Conference Grant Challenge Committee
• 2024 World Congress of Psychiatry E-Poster presentation, Mexico City
• 2023 IEEE BioCAS Conference poster and live presentation

Services

• IEEE Journal of Biomedical and Health Informatics Reviewer
• IEEE Biomedical Circuit and System Conference Reviewer
• IEEE International Symposium on Circuits and Systems Reviewer

Awards & Honors

• IEEE BioCAS Conference Entrepreneurship Competition, 3rd Prize, 2023
• University of Alberta Dean's Honors List (2018-2023)
• Alberta Graduate Excellence Scholarship, 2023-2024
• University of Alberta Dean’s Research Award 2019

Contact

Email: yuqi14@ualberta.ca

Phone: 639-471-1721

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