Jimeng Sun
Professor
Develops AI for healthcare, including deep learning on electronic health records and clinical trial optimization.
Jimeng Sun's lab at UIUC works on medical imaging & healthcare AI, learning theory & optimization and data management & big data. 71 papers since 2023, 49 at top venues, mostly ICLR and KDD. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 69%
- PhD students
- —
- MS students
- —
- alumni listed
- 0
Papers by yearfrom DBLP, 2023–2026
- 11 papers2026 · T1 8 · collecting
- 20 papers2025 · T1 11
- 24 papers2024 · T1 19
- 16 papers2023 · T1 11
T1 venuesOtherVenues: ICLR, KDD, NeurIPS, EMNLP, AAAI
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI23 papers
- Learning theory & optimization16 papers
- electronic health4 papers
- Data management & big data3 papers
- health records3 papers
Paper list
From DBLP.
202611 papers
- ACL (T1)Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering (opens in a new tab)
- J. Am. Medical Informatics Assoc.Compliance and factuality of large language models for clinical research document generation (opens in a new tab)
- ICLR (T1)ConfHit: Conformal Generative Design with Oracle-Free Guarantees (opens in a new tab)
- KDD (T1)Learning Probabilistic Compositional Representation of Crystalline Materials (opens in a new tab)
- AIMEMaking Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification (opens in a new tab)
- ICLR (T1)ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks (opens in a new tab)
- ICLR (T1)RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation (opens in a new tab)
- LRECSocialStep: Fast Prediction of Social Determinants of Health (opens in a new tab)
- AAAI (T1)Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation (opens in a new tab)
- KDD (T1)The Second Workshop on SciSoc Agents & LLMs: Agentic AI for Scientific and Societal Advances (opens in a new tab)
- ICLR (T1)Tokenizing Single-Channel EEG with Time-Frequency Motif Learning (opens in a new tab)
202520 papers
- npj Digit. MedicineA perspective for adapting generalist AI to specialized medical AI applications and their challenges (opens in a new tab)
- KDD (T1)A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare (opens in a new tab)
- npj Digit. MedicineAccelerating clinical evidence synthesis with large language models (opens in a new tab)
- Found. Trends Mach. Learn.Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems (opens in a new tab)
- AAAI (T1)Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations (opens in a new tab)
- ICLR (T1)GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation (opens in a new tab)
- npj Digit. MedicineImproving medical machine learning models with generative balancing for equity and excellence (opens in a new tab)
- AAAI (T1)Long-Term EEG Partitioning for Seizure Onset Detection (opens in a new tab)
- PatternsMediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records (opens in a new tab)
- KDD (T1)MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem (opens in a new tab)
- J. Data-centric Mach. Learn. Res.MolTextQA: A Question-Answering Dataset and Benchmark for Evaluating Multimodal Architectures and LLMs on Molecular Structure-Text Understanding (opens in a new tab)
- EMNLP (T1)Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise (opens in a new tab)
202424 papers
- EMNLP (T1)Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning (opens in a new tab)
- KDD (T1)Can a Deep Learning Model be a Sure Bet for Tabular Prediction? (opens in a new tab)
- NeurIPS (T1)CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models (opens in a new tab)
- ICML (T1)Certifiably Byzantine-Robust Federated Conformal Prediction (opens in a new tab)
- AAAI (T1)ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation (opens in a new tab)
- EMNLP (T1)Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation (opens in a new tab)
- ML4H@NeurIPSDILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction (opens in a new tab)
- npj Digit. MedicineDRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients (opens in a new tab)
- PatternsFederated learning for multi-omics: A performance evaluation in Parkinson's disease (opens in a new tab)
- PatternsFRAMM: Fair ranking with missing modalities for clinical trial site selection (opens in a new tab)
- Trans. Mach. Learn. Res.Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models (opens in a new tab)
- NAACL (T1)GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models (opens in a new tab)
202316 papers
- NeurIPS (T1)An Iterative Self-Learning Framework for Medical Domain Generalization (opens in a new tab)
- EMNLP (T1)AutoTrial: Prompting Language Models for Clinical Trial Design (opens in a new tab)
- NeurIPS (T1)BIOT: Biosignal Transformer for Cross-data Learning in the Wild (opens in a new tab)
- NeurIPS (T1)CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift (opens in a new tab)
- EMNLP (T1)DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups (opens in a new tab)
- ICML (T1)Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control (opens in a new tab)
- ICLR (T1)ManyDG: Many-domain Generalization for Healthcare Applications (opens in a new tab)
- KDD (T1)MedLink: De-Identified Patient Health Record Linkage (opens in a new tab)
- J. Am. Medical Informatics Assoc.Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus (opens in a new tab)
- KDD (T1)PyHealth: A Deep Learning Toolkit for Healthcare Applications (opens in a new tab)
- Nat.Scientific discovery in the age of artificial intelligence (opens in a new tab)
- BCBSPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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0 T1
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