Jimeng Sun

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 84

Top Topics

Conformal Prediction

Electronic Health Records

Relation Extraction

Top Venues

Publications

Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen
Making Pre-trained Language Models Great on Tabular Prediction. ICLR (2024)
Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Korsapati, Chuck Outcalt, Jimeng Sun
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning. CoRR (2024)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Chufan Gao, Tianfan Fu, Jimeng Sun
Language Interaction Network for Clinical Trial Approval Estimation. CoRR (2024)
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
Certifiably Byzantine-Robust Federated Conformal Prediction. CoRR (2024)
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT (2024)
Benjamin P. Danek, Mary B. Makarious, Anant Dadu, Dan Vitale, Paul Suhwan Lee, Andrew B. Singleton, Mike A. Nalls, Jimeng Sun, Faraz Faghri
Federated learning for multi-omics: A performance evaluation in Parkinson's disease. Patterns 5 (3) (2024)
Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun
Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark. CoRR (2024)
Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients. npj Digit. Medicine 7 (1) (2024)
Jintai Chen, Zhen Lin, Qiyuan Chen, Jimeng Sun
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data. CoRR (2024)
Lang Cao, Jimeng Sun, Adam Cross
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models. CoRR (2024)
Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CoRR (2024)
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. AAAI (2024)
Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi
Contactless Polysomnography: What Radio Waves Tell Us about Sleep. CoRR (2024)
Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu
SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction. CoRR (2024)
Zhenbang Wu, Anant Dadu, Nicholas J. Tustison, Brian B. Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri
Multimodal Patient Representation Learning with Missing Modalities and Labels. ICLR (2024)
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
Recent Advances in Predictive Modeling with Electronic Health Records. CoRR (2024)
Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu, Xu Cao, Miao Lin, Hongxia Xu, Jian Wu, Cao Xiao, Jimeng Sun, Lucas Glass, Kexin Huang, Marinka Zitnik, Tianfan Fu
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. CoRR (2024)
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR (2024)
Zifeng Wang, Lang Cao, Benjamin P. Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun
Accelerating Clinical Evidence Synthesis with Large Language Models. CoRR (2024)
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
PILOT: Legal Case Outcome Prediction with Case Law. NAACL-HLT (2024)
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns 5 (3) (2024)
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. ICLR (2024)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. CoRR (2024)
Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR (2024)
Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Z. Chen, Jian Wu, Jimeng Sun
for Tabular Prediction? KDD (2024)
Chufan Gao, Xuan Wang, Jimeng Sun
TTM-RE: Memory-Augmented Document-Level Relation Extraction. CoRR (2024)
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR (2024)
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. CoRR (2024)
Chufan Gao, Xuan Wang, Jimeng Sun
TTM-RE: Memory-Augmented Document-Level Relation Extraction. ACL (1) (2024)
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. NAACL-HLT (2024)
Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen
Making Pre-trained Language Models Great on Tabular Prediction. CoRR (2024)
Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment. CoRR (2024)
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
ManyDG: Many-domain Generalization for Healthcare Applications. ICLR (2023)
Brandon Theodorou, Cao Xiao, Jimeng Sun
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network. CoRR (2023)
Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. CoRR (2023)
Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park
Stoichiometry Representation Learning with Polymorphic Crystal Structures. CoRR (2023)
Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun
PyHealth: A Deep Learning Toolkit for Healthcare Applications. KDD (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. BCB (2023)
Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu
Matching Patients to Clinical Trials with Large Language Models. CoRR (2023)
Brandon Philip Theodorou, Cao Xiao, Jimeng Sun
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. BCB (2023)
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR (2023)
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
BIOT: Biosignal Transformer for Cross-data Learning in the Wild. NeurIPS (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
AutoTrial: Prompting Language Models for Clinical Trial Design. EMNLP (2023)
Tao Feng, Pengcheng Xu, Tianfan Fu, Siddhartha Laghuvarapu, Jimeng Sun
Molecular De Novo Design through Transformer-based Reinforcement Learning. CoRR (2023)
Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients. CoRR (2023)
Ruiyu Wang, Zifeng Wang, Jimeng Sun
UniPredict: Large Language Models are Universal Tabular Predictors. CoRR (2023)
Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang
DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. EMNLP (Demos) (2023)
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. ICLR (2023)
Zhenbang Wu, Huaxiu Yao, David M. Liebovitz, Jimeng Sun
An Iterative Self-Learning Framework for Medical Domain Generalization. NeurIPS (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
AutoTrial: Prompting Language Models for Clinical Trial Design. CoRR (2023)
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection. CoRR (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. CoRR (2023)
Zhenbang Wu, Cao Xiao, Jimeng Sun
MedLink: De-Identified Patient Health Record Linkage. KDD (2023)
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. CoRR (2023)
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
AnyPredict: Foundation Model for Tabular Prediction. CoRR (2023)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. CoRR (2023)
Brandon Theodorou, Cao Xiao, Jimeng Sun
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model. CoRR (2023)
Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. CoRR (2023)
Trisha Das, Zifeng Wang, Jimeng Sun
TWIN: Personalized Clinical Trial Digital Twin Generation. KDD (2023)
Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift. NeurIPS (2023)
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
BIOT: Cross-data Biosignal Learning in the Wild. CoRR (2023)
Yilin Wen, Zifeng Wang, Jimeng Sun
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. CoRR (2023)
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) (2023)
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs. CoRR (2023)
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. CoRR (2023)
Tao Feng, Zifeng Wang, Jimeng Sun
CITING: Large Language Models Create Curriculum for Instruction Tuning. CoRR (2023)
Kaizhao Liang, Xu Cao, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Zhengyu Chen, Jianguo Cao, Tejas Nama, Jimeng Sun
PIE: Simulating Disease Progression via Progressive Image Editing. CoRR (2023)
Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
Conformal Drug Property Prediction with Density Estimation under Covariate Shift. CoRR (2023)
Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. ICML (2023)
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
ATD: Augmenting CP Tensor Decomposition by Self Supervision. NeurIPS (2022)
Zifeng Wang, Jimeng Sun
TransTab: Learning Transferable Tabular Transformers Across Tables. NeurIPS (2022)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Conformal Prediction with Temporal Quantile Adjustments. NeurIPS (2022)
Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. NeurIPS (2022)
Zifeng Wang, Jimeng Sun
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. EMNLP (2022)
Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun
Reinforced Genetic Algorithm for Structure-based Drug Design. NeurIPS (2022)
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. ECML/PKDD (2) (2022)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Conformal Prediction Intervals with Temporal Dependence. Trans. Mach. Learn. Res. 2022 (2022)
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. EMNLP (2022)
Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. MLHC (2022)
Zifeng Wang, Jimeng Sun
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. EMNLP (Findings) (2022)