Jimeng Sun

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