• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 404 matches

• 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)
• 
  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): 100945 (2024)
• 
  Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun:
  FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns 5(3): 100944 (2024)
• 
  Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun:
  ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. AAAI 2024: 15355-15363
• 
  Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
  PILOT: Legal Case Outcome Prediction with Case Law. CoRR abs/2401.15770 (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 abs/2402.01077 (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 abs/2402.10744 (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 abs/2403.00953 (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 abs/2403.01570 (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 abs/2403.01841 (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 abs/2403.10351 (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 abs/2405.00715 (2024)
• 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): 198-208 (2023)
• 
  Jibiao Fan, Leisheng Shi, Qi Liu, Zhipeng Zhu, Fan Wang, Runxian Song, Jimeng Su, Degui Zhou, Xiao Chen, Kailong Li, Lixiang Xue, Lichao Sun, Fengbiao Mao:
  Annotation and evaluation of base editing outcomes in multiple cell types using CRISPRbase. Nucleic Acids Res. 51(D1): 1249-1256 (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): 47-60 (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: 11161-11180
• 
  Zifeng Wang, Cao Xiao, Jimeng Sun:
  SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. BCB 2023: 53:1-53:11
• 
  Brandon Philip Theodorou, Cao Xiao, Jimeng Sun:
  TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. BCB 2023: 55:1-55:9
• 
  Zifeng Wang, Cao Xiao, Jimeng Sun:
  AutoTrial: Prompting Language Models for Clinical Trial Design. EMNLP 2023: 12461-12472
• 
  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: 373-380
• 
  Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
  Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. ICLR 2023
• 
  Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
  ManyDG: Many-domain Generalization for Healthcare Applications. ICLR 2023
• 
  Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
  Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. ICML 2023: 21182-21203
• 
  Trisha Das, Zifeng Wang, Jimeng Sun:
  TWIN: Personalized Clinical Trial Digital Twin Generation. KDD 2023: 402-413
• 
  Zhenbang Wu, Cao Xiao, Jimeng Sun:
  MedLink: De-Identified Patient Health Record Linkage. KDD 2023: 2672-2682
• 
  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: 5788-5789
• 
  Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun:
  CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift. NeurIPS 2023
• 
  Zhenbang Wu, Huaxiu Yao, David M. Liebovitz, Jimeng Sun:
  An Iterative Self-Learning Framework for Medical Domain Generalization. NeurIPS 2023
• 
  Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
  BIOT: Biosignal Transformer for Cross-data Learning in the Wild. NeurIPS 2023
• 
  Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
  ManyDG: Many-domain Generalization for Healthcare Applications. CoRR abs/2301.08834 (2023)

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