Tabular Foundation Models
In-context learning, model architectures, mixture-of-experts, and generalization across structured datasets.
Yunjia Zhang 张耘嘉
Ph.D. Researcher · Machine Learning & AI for Healthcare
China University of Geosciences (Beijing) · Control Science and Engineering
Research areas: Tabular Foundation Models · Text & Multimodal Large Language Models · Digital Eye Simulation & Ocular Digital Twins · Physiological Signal Modeling
My research connects foundation models with biomedical AI, spanning glaucoma visual-field prediction, PPG-based blood pressure estimation, and digital eye modeling for simulation and measurement.
About
I am a Ph.D. researcher in Control Science and Engineering with a background in Computer Science. My work spans deep learning, structured-data modeling, and biomedical engineering. I am especially interested in learning robust representations from heterogeneous data and evaluating predictive models in scientifically meaningful ways.
I am currently involved in tabular foundation model (LimiX) research with Tsinghua University and Wenzhun Intelligence, and have previously contributed to AI projects involving Ximo Technology and Zhujian Intelligence.
Research Interests
Ophthalmic AI & Multimodal Learning
Fundus photographs, glaucoma visual-field forecasting, and longitudinal clinical data fusion.
Physiological Signal Modeling
PPG-based blood pressure estimation, quantile regression, and predictive uncertainty.
Digital Eye Simulation & AI for Science
Digital simulated eyes, whole-eye OCT reconstruction, ocular digital twins, and metrology-oriented model validation.
Selected Publications
Complete list on Google Scholar ↗135Citations
4h-index
4i10-index
Google Scholar metrics are a snapshot supplied in November 2026, not live counts. Paper titles are retained in their original publication language.
2026
LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence
Preprint arXiv:2609.17488
2026
LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models
Preprint arXiv:2606.04485
2026
Modeling Localized PPG for Blood Pressure Forecasting With MoE and Quantile Regression
Journal IEEE Signal Processing Letters, 33, 531–535.
2025
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
Preprint arXiv:2509.03505
2024
Quantitative Prediction of Postpartum Hemorrhage in Cesarean Section on Machine Learning
Journal BMC Medical Informatics and Decision Making, 24, 166.
Selected Projects
Foundation Models
LimiX
Model development and practical research in general-purpose structured-data intelligence.
Feature Learning
Feature Engineering
Practical feature processing and experiments for structured datasets.
Medical Image Generation
Retinal Fundus Image Generation
Exploring generative approaches to retinal fundus images, with an emphasis on anatomical plausibility and biomedical research applications.
Independent Project
AI-Signal
An independent AI research and technology information platform covering emerging models, research papers, and technological developments.
Experience & Affiliations
Doctoral Studies
China University of Geosciences (Beijing)
Ph.D. in Control Science and Engineering · Research in machine learning and biomedical AI.
Undergraduate Studies
China University of Geosciences (Beijing)
B.Eng. in Computer Science and Technology.
Contact
For academic discussion or potential research collaboration, please reach out by email.