Jimeng Sun

Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering ACL 2026 Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation AAAI 2026 Small Models are LLM Knowledge Triggers for Medical Tabular Prediction ICLR 2025 GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation ICLR 2025 s3: You Don’t Need That Much Data to Train a Search Agent via RL EMNLP 2025 Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise EMNLP 2025 Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation ACL 2025 SECRET: Semi-supervised Clinical Trial Document Similarity Search ACL 2025 Long-Term EEG Partitioning for Seizure Onset Detection AAAI 2025 Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations AAAI 2025 Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval ICLR 2025 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement IJCAI 2024 Instruction Tuning Large Language Models to Understand Electronic Health Records NIPS 2024 KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge NIPS 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024 GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models NAACL 2024 TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 2024 PILOT: Legal Case Outcome Prediction with Case Law NAACL 2024 ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation AAAI 2024 TTM-RE: Memory-Augmented Document-Level Relation Extraction ACL 2024 MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models ACL 2024 PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming ACL 2024 Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning EMNLP 2024 Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024 GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs ICLR 2024 Multimodal Patient Representation Learning with Missing Modalities and Labels ICLR 2024 Making Pre-trained Language Models Great on Tabular Prediction ICLR 2024 Certifiably Byzantine-Robust Federated Conformal Prediction ICML 2024 Recent Advances in Predictive Modeling with Electronic Health Records IJCAI 2024 DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups EMNLP 2023 BIOT: Biosignal Transformer for Cross-data Learning in the Wild NIPS 2023 An Iterative Self-Learning Framework for Medical Domain Generalization NIPS 2023 Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models ACL 2023 CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NIPS 2023 Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control ICML 2023 AutoTrial: Prompting Language Models for Clinical Trial Design EMNLP 2023 Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks ICLR 2023 ManyDG: Many-domain Generalization for Healthcare Applications ICLR 2023 Reinforced Genetic Algorithm for Structure-based Drug Design NIPS 2022 GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion IJCAI 2022 Differentiable Scaffolding Tree for Molecule Optimization ICLR 2022 PAC-Bayes Information Bottleneck ICLR 2022 EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision MLHC 2022 Conformal Prediction with Temporal Quantile Adjustments NIPS 2022 Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization NIPS 2022 UniCoRN: A Unified Conditional Image Repainting Network CVPR 2022 CT2: Colorization Transformer via Color Tokens ECCV 2022 PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning EMNLP 2022 MedCLIP: Contrastive Learning from Unpaired Medical Images and Text EMNLP 2022 Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision EMNLP 2022 TransTab: Learning Transferable Tabular Transformers Across Tables NIPS 2022 SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models AAAI 2022 ATD: Augmenting CP Tensor Decomposition by Self Supervision NIPS 2022 Locally Valid and Discriminative Prediction Intervals for Deep Learning Models NIPS 2021 SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations IJCAI 2021 MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization AAAI 2021 STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization AAAI 2021 SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors AAAI 2021 Fusion: Towards Automated ICD Coding via Feature Compression ACL 2021 Fusion: Towards Automated ICD Coding via Feature Compression IJCNLP 2021 EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders MLHC 2021 Multi-version Tensor Completion for Time-delayed Spatio-temporal Data IJCAI 2021 Change Matters: Medication Change Prediction with Recurrent Residual Networks IJCAI 2021 CASTER: Predicting Drug Interactions with Chemical Substructure Representation AAAI 2020 Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment AAAI 2020 CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020 CORE: Automatic Molecule Optimization Using Copy & Refine Strategy AAAI 2020 SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020 Pre-training of Graph Augmented Transformers for Medication Recommendation IJCAI 2019 RDPD: Rich Data Helps Poor Data via Imitation IJCAI 2019 MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals IJCAI 2019 DDL: Deep Dictionary Learning for Predictive Phenotyping IJCAI 2019 Clinical Concept Extraction for Document-Level Coding ACL 2019 GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination AAAI 2019 Hierarchical Reinforcement Learning for Course Recommendation in MOOCs AAAI 2019 Guaranteed Scalable Learning of Latent Tree Models UAI 2019 EEGtoText: Learning to Write Medical Reports from EEG Recordings MLHC 2019 SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules MLHC 2019 Explainable Prediction of Medical Codes from Clinical Text NAACL 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare NIPS 2018 Doctor AI: Predicting Clinical Events via Recurrent Neural Networks MLHC 2016 RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism NIPS 2016 Time-Sensitive Recommendation From Recurrent User Activities NIPS 2015