I’m Xiaoyang Wang (王晓阳), a PhD candidate at Drexel University advised by Prof. Christopher C. Yang in the Health Informatics Research Group.

My research centers on trustworthy AI for healthcare, with a particular focus on fairness, explainability, and reliability in clinical predictive modeling. I develop algorithms that ensure equitable model performance across demographic subgroups while maintaining high predictive accuracy. Building upon this foundation, I am now exploring multimodal learning frameworks that integrate structured EHR data, clinical notes, and medical imaging to construct unified patient representations. In parallel, I am investigating LLM-based agentic AI systems that can autonomously reason, coordinate, and adapt in complex medical and health environments.

Before joining Drexel University for my doctoral studies, I earned my M.S. degree from the University of Pittsburgh, where I was advised by Prof. Peter Brusilovsky, and my B.E. degree from Shanghai Normal University.

🔥 News

• 2025.11:  ✈️ Attended the AMIA Annual Symposium 2025 in Atlanta, GA.
• 2025.10:  🚶 Attended ACM BCB 2025 in Philadelphia, PA and delivered a presentation.
• 2025.08:  🎉🎉 Two papers accepted by the 16th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB’25).
• 2025.07:  🎉 A paper accepted by IEEE Transactions on Information Forensics & Security.
• 2025.06:  👨🏻‍💻 Attended IEEE ICHI’25 & AIME’25 (both in Italy 🇮🇹) and presented remotely 🥹.
• 2025.04:  🎉 A paper accepted by the 23rd International Conference on Artificial Intelligence in Medicine (AIME’25).
• 2025.01:  🎉🎉 Two papers accepted by the 13th IEEE International Conference on Health Informatics (IEEE ICHI’25).
• 2024.12:  ⛳ Successfully passed the Ph.D. candidacy examination at Drexel University.
• 2024.07:  ✈️ Attended AIME’24 in Salt Lake City, UT 🩼 and delivered a presentation.
• 2024.06:  ✈️ Attended IEEE ICHI’24 in Orlando, FL and delivered a presentation.
• 2024.04:  🎉 A paper accepted by the 22nd International Conference on Artificial Intelligence in Medicine (AIME’24).
• 2024.03:  🎉 A paper accepted by the 12th IEEE International Conference on Health Informatics (IEEE ICHI’24).

📝 Publications

IEEE TIFS

FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models

Yixuan Li, Xuelin Liu, Xiaoyang Wang, Bu Sung Lee, Shiqi Wang, Anderson Rocha, and Weisi Lin.

• This work introduces FakeBench, a multimodal benchmark designed to evaluate large multimodal models (LMMs) on explainable fake image detection rather than simple binary classification.
• The benchmark incorporates a fine-grained taxonomy of generative visual forgeries and human-in-the-loop textual descriptions to assess detection, reasoning, interpretation, and detailed forgery analysis.

• ACM-BCB 2025 MoE-Health: A Mixture of Experts Framework for Robust Multimodal Healthcare Prediction, Xiaoyang Wang, Christopher C. Yang.

• ACM-BCB 2025 Automated Clinical Problem Detection from SOAP Notes using a Collaborative Multi-Agent LLM Architecture, Yeawon Lee, Xiaoyang Wang, Christopher C. Yang.

• IEEE ICHI 2025 Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling, Xiaoyang Wang, Christopher C. Yang.

• AIME 2025 (Top 6% Oral) Balancing Fairness and Performance in Healthcare AI: A Gradient Projection Approach, Xiaoyang Wang, Christopher C. Yang.

• AIME 2024 Explainable AI for Fair Sepsis Mortality Predictive Model, Chia-Hsuan Chang*, Xiaoyang Wang*, Christopher C. Yang.

• IEEE ICHI 2024 An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion, Mary M. Lucas, Xiaoyang Wang, Chia-Hsuan Chang, Christopher C. Yang.

• IEEE Access Achieving Equity via Transfer Learning with Fairness Optimization, Xiaoyang Wang, Chia-Hsuan Chang, Christopher C. Yang.

🎖 Honors and Awards

• 2025.06  The Student Scholar Award, AIME 2025 - €800
• 2025.06  The Student Scholar Award, IEEE ICHI 2025 - $1000
• 2017.10  Merit Student Researcher Scholarship, Chinese Academy of Sciences - ¥3000
• 2016.10  Second Prize Merit Scholarship, Shanghai Normal University - ¥1200

📖 Educations

• 2022.09 - 2027.06 (now)  🇺🇸 Ph.D. in Information Science, Drexel University, Philadelphia, USA.
• 2018.08 - 2020.05  🇺🇸 M.Sc. in Information Science, University of Pittsburgh, Pittsburgh, USA.
• 2014.09 - 2018.06  🇨🇳 B.Eng. in Telecommunication Engineering, Shanghai Normal University, Shanghai, China.

💻 Work Experience

• 2020.09 - 2022.09  Cloud Software Engineer (Full-time), China CITIC Bank, Beijing, China.
• 2017.12 - 2018.06  Software Engineer (Intern) Radar Institute, Shanghai, China.
• 2017.04 - 2017.07  Software Engineer (Intern) SIMIT, Shanghai, China.

⚖️ Academic Participation

• Journal Reviewer: Journal of the American Medical Informatics Association(JAMIA), Journal of Healthcare Informatics Research (JHIR), IEEE Transactions on Information Forensics & Security (TIFS),Information Processing and Management (IPM)
• Conference Reviewer: NeurIPS’24, AAAI’25, ICLR’25, ICWSM’25, IEEE ICHI’25, IEEE ICHI’26, WWW’26

🍎 Teaching Experience

• 2024.09 - 2024.12   Teaching Assistant, INFO 212: Data Science Programming I, Drexel University, Philadelphia, PA.
• 2017.02 - 2017.05   Teaching Assistant, Digital Switching, Shanghai Normal University, Shanghai, China.
• 2015.09 - 2015.12   Teaching Assistant, Probability Theory and Mathematical Statistics, Shanghai Normal University, Shanghai, China.

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