Jimeng Sun

Professor@University of Illinois, Urbana Champaign·美国·OpenReview

研究方向

health analytics · deep learning · tensor factorization · AI in healthcare · deep learning in healthcare · generative AI for healthcare · AI for clinical trials · machine learning for drug discovery

Jimeng Sun

ConfHit: Conformal Generative Design with Oracle-Free Guarantees

Tokenizing Single-Channel EEG with Time-Frequency Motif Learning

ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks

RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation

Cross-Table Pretraining towards a Universal Function Space for Tabular Data

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning

MRI2PET: Realistic PET Image Generation from MRI for Automated Inference of Brain Atrophy and Alzheimer’s

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning

Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding

Small Models are LLM Knowledge Triggers for Medical Tabular Prediction

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

MolTextQA: A Curated Question-Answering Dataset and Benchmark for Molecular Structure-Text Relationship Learning

TableTextGrad: A Reflexive Framework for Tabuar Understanding

AnyECG: Foundational Models for Electrocardiogram Analysis