Scholar
Weijieying Ren
Google Scholar ID: V-J8XikAAAAJ
Stanford University
Citations & Impact
Citations
375
H-index
10
i10-index
10
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Incorporating Biomedical Knowledge and Clinical Guidance into Electronic Health Record Based Machine Learning Systems for Healthcare
- - DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction (ACL-finding 2025)
- - Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning (ICASSP 2025)
- - RATT: A Thought Structure for Coherent and Correct LLM Reasoning (AAAI 2025)
- - TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules (ICML 2024)
- - Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data (AAAI 2024)
- - EsaCL: An Efficient Continual Learning Algorithm (SIAM International Conference on Data Mining, 2024)
- - In Submission & Under-Review:
- - Advancing Clinical Diagnosis Prediction with Foundation Models through Planning and Reasoning
- - A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models
- - Survey of Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
Research Experience
- - Postdoctoral Scholar at Stanford University, focusing on addressing real-world medical problems
- - During Ph.D. at Pennsylvania State University, research centered on using ML/AI techniques to narrow the gaps between Data (Electronic Health Records (EHR) Data), Model (Continual Learning from Multi-modality Data), and Application (Clinical Conversational System)
Education
- - Ph.D.: College of Information Sciences and Technology, Pennsylvania State University, graduated in May 2025, advisor: Prof. Vasant Honavar
- - Postdoc: Department of Biomedical Data Science, School of Medicine, Stanford University, mentor: Prof. Nima Aghaeepour
Background
- Currently a postdoctoral scholar at Stanford University, affiliated with the School of Medicine, the Department of Biomedical Data Science, mentored by Prof. Nima Aghaeepour. Previously, received a Ph.D. from the College of Information Sciences and Technology at Pennsylvania State University, where she was mentored by Prof. Vasant Honavar. Research focuses on machine learning for healthcare.
Miscellany
- Personal interests not mentioned
Co-authors