• 🌟 📣 [07/2025]: Our Long survey A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models is available at GitHub . We collected ~400 papers from top CS conferences and Nature Portfolio journals (2021–2025) about Clinical AI and EHRs modeling, spanning data, models, learning objectives, LLMs, and real-world clinical applications. For a better visualization, feel free to check the paper list .
• 🌟 📣 [09/2025]: Our Tutorial "EHR-Enhanced Clinical Conversational Systems with Large Language Models: A Comprehensive Tutorial" has been accepted by AAAI-2026. This Tutorial will highlight recent advances in EHR-driven dialogue systems using LLMs, including agent-based modeling, retrieval-enhanced generation, and multimodal learning, and discuss key open research problems. Thankss for all collaborators and see you in Singapore.
• 🌟 📣 [08/2025]: Our proposal "DeepChart: Transforming Anesthetic Records to Narrative Text" has been awarded the Marlowe Award at Stanford University. This award includes eligibility for 5,000 free GPU hours. Thanks the support from Stanford University!
• ⛵ 🌊 [07/2025]: Sailing my beautiful sailboat and embarking on my postdoc journey at Stanford University.
• 🌸 🌸 [05/2025]: I successfully defended my dissertation: Incorporating Biomedical Knowledge and Clinical Guidance into Electronic Health Record-Based Machine Learning Systems for Healthcare . I’m deeply grateful to my sweet family, my dear advisor Prof. Vasant Honavar, and my committee members: Prof. Sharon, Prof. Dongwon, Prof. Kevin, and Prof. Chaopeng and my strong friends.
• 🌟 📣 [02/2025]: Our survey Survey of Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions is available at GitHub