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ORCIDJimeng Sun 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- affiliation (former): IBM Thomas J. Watson Research Center, USA
- affiliation (former): Georgia Institute of Technology, College of Computing, GA, USA
- affiliation (PhD 2007): Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong
Other persons with the same name
- Jimeng Sun 0002 — Beijing University of Posts and Telecommunications, China
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2020 – today
- 2024
[j72]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)- [j71]Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun:
FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns 5(3): 100944 (2024) - [j70]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) - [j69]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c207]Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun:
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. AAAI 2024: 15355-15363 - [c206]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. ACL (1) 2024: 443-458 - [c205]Yilin Wen, Zifeng Wang, Jimeng Sun:
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. ACL (1) 2024: 10370-10388 - [c204]Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun:
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CIKM 2024: 1153-1162 - [c203]John Wu, David Wu, Jimeng Sun:
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. EMNLP 2024: 8848-8871 - [c202]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. EMNLP 2024: 10351-10368 - [c201]Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun:
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. ICLR 2024 - [c200]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 - [c199]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 - [c198]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. ICML 2024 - [c197]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. IJCAI 2024: 6062-6070 - [c196]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. IJCAI 2024: 8272-8280 - [c195]Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Z. Chen, Jian Wu, Jimeng Sun:
Can a Deep Learning Model be a Sure Bet for Tabular Prediction? KDD 2024: 288-296 - [c194]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. NAACL-HLT 2024: 609-621 - [c193]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: 2805-2819 - [c192]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: 2820-2837 - [i157]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. CoRR abs/2401.15770 (2024) - [i156]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) - [i155]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) - [i154]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) - [i153]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) - [i152]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) - [i151]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) - [i150]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) - [i149]Chufan Gao, Tianfan Fu, Jimeng Sun:
Language Interaction Network for Clinical Trial Approval Estimation. CoRR abs/2405.06662 (2024) - [i148]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 abs/2405.11739 (2024) - [i147]Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR abs/2405.16412 (2024) - [i146]Jintai Chen, Zhen Lin, Qiyuan Chen, Jimeng Sun:
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data. CoRR abs/2406.00281 (2024) - [i145]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. CoRR abs/2406.01806 (2024) - [i144]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. CoRR abs/2406.01960 (2024) - [i143]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. CoRR abs/2406.05906 (2024) - [i142]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 abs/2406.06007 (2024) - [i141]Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun:
Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark. CoRR abs/2406.10292 (2024) - [i140]Zifeng Wang, Lang Cao, Benjamin P. Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun:
Accelerating Clinical Evidence Synthesis with Large Language Models. CoRR abs/2406.17755 (2024) - [i139]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 abs/2407.00631 (2024) - [i138]Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun:
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CoRR abs/2407.09043 (2024) - [i137]Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun:
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment. CoRR abs/2407.11007 (2024) - [i136]Trisha Das, Dina Albassam, Jimeng Sun:
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM. CoRR abs/2408.06285 (2024) - [i135]Chufan Gao, Mandis Beigi, Afrah Shafquat, Jacob Aptekar, Jimeng Sun:
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data. CoRR abs/2409.07089 (2024) - [i134]John Wu, David Wu, Jimeng Sun:
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction. CoRR abs/2409.10504 (2024) - [i133]Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. CoRR abs/2410.04585 (2024) - [i132]Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun:
Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR abs/2410.11235 (2024) - [i131]Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun:
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. CoRR abs/2410.13178 (2024) - [i130]Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu:
Demystifying Large Language Models for Medicine: A Primer. CoRR abs/2410.18856 (2024) - [i129]Zifeng Wang, Benjamin P. Danek, Ziwei Yang, Zheng Chen, Jimeng Sun:
Can Large Language Models Replace Data Scientists in Clinical Research? CoRR abs/2410.21591 (2024) - [i128]Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun:
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges. CoRR abs/2411.00024 (2024) - [i127]John Wu, David Wu, Jimeng Sun:
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. CoRR abs/2411.00173 (2024) - [i126]Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason G. Mezey, Jimeng Sun:
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning. CoRR abs/2411.07317 (2024) - [i125]Yue Wang, Xu Cao, Yaojun Hu, Haochao Ying, James Matthew Rehg, Jimeng Sun, Jian Wu, Jintai Chen:
AnyECG: Foundational Models for Electrocardiogram Analysis. CoRR abs/2411.17711 (2024) - [i124]Hanyin Wang, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, Jimeng Sun:
Process-Supervised Reward Models for Clinical Note Generation: A Scalable Approach Guided by Domain Expertise. CoRR abs/2412.12583 (2024) - [i123]Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun:
SODor: Long-Term EEG Partitioning for Seizure Onset Detection. CoRR abs/2412.15598 (2024) - 2023
- [j68]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) - [j67]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) - [c191]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 - [c190]Zifeng Wang, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. BCB 2023: 53:1-53:11 - [c189]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 - [c188]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 - [c187]Zifeng Wang, Cao Xiao, Jimeng Sun:
AutoTrial: Prompting Language Models for Clinical Trial Design. EMNLP 2023: 12461-12472 - [c186]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. ICLR 2023 - [c185]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. ICLR 2023 - [c184]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. ICML 2023: 21182-21203 - [c183]Trisha Das, Zifeng Wang, Jimeng Sun:
TWIN: Personalized Clinical Trial Digital Twin Generation. KDD 2023: 402-413 - [c182]Zhenbang Wu, Cao Xiao, Jimeng Sun:
MedLink: De-Identified Patient Health Record Linkage. KDD 2023: 2672-2682 - [c181]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 - [c180]Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun:
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift. NeurIPS 2023 - [c179]Zhenbang Wu, Huaxiu Yao, David M. Liebovitz, Jimeng Sun:
An Iterative Self-Learning Framework for Medical Domain Generalization. NeurIPS 2023 - [c178]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
BIOT: Biosignal Transformer for Cross-data Learning in the Wild. NeurIPS 2023 - [i122]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. CoRR abs/2301.08834 (2023) - [i121]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. CoRR abs/2302.00839 (2023) - [i120]Brandon Theodorou, Cao Xiao, Jimeng Sun:
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model. CoRR abs/2304.02169 (2023) - [i119]Zifeng Wang, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. CoRR abs/2304.05352 (2023) - [i118]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
BIOT: Cross-data Biosignal Learning in the Wild. CoRR abs/2305.10351 (2023) - [i117]Zifeng Wang, Cao Xiao, Jimeng Sun:
AutoTrial: Prompting Language Models for Clinical Trial Design. CoRR abs/2305.11366 (2023) - [i116]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
AnyPredict: Foundation Model for Tabular Prediction. CoRR abs/2305.12081 (2023) - [i115]Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun:
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs. CoRR abs/2305.12788 (2023) - [i114]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i113]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. CoRR abs/2305.19187 (2023) - [i112]Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun:
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection. CoRR abs/2305.19407 (2023) - [i111]Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun:
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. CoRR abs/2306.04018 (2023) - [i110]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 J. 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 abs/2307.08423 (2023) - [i109]Brandon Theodorou, Cao Xiao, Jimeng Sun:
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network. CoRR abs/2307.09942 (2023) - [i108]Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu:
Matching Patients to Clinical Trials with Large Language Models. CoRR abs/2307.15051 (2023) - [i107]Yilin Wen, Zifeng Wang, Jimeng Sun:
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. CoRR abs/2308.09729 (2023) - [i106]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 abs/2309.11745 (2023) - [i105]Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun:
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients. CoRR abs/2309.12625 (2023) - [i104]Tao Feng, Zifeng Wang, Jimeng Sun:
CITING: Large Language Models Create Curriculum for Instruction Tuning. CoRR abs/2310.02527 (2023) - [i103]Ruiyu Wang, Zifeng Wang, Jimeng Sun:
UniPredict: Large Language Models are Universal Tabular Predictors. CoRR abs/2310.03266 (2023) - [i102]Tao Feng, Pengcheng Xu, Tianfan Fu, Siddhartha Laghuvarapu, Jimeng Sun:
Molecular De Novo Design through Transformer-based Reinforcement Learning. CoRR abs/2310.05365 (2023) - [i101]Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang:
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. CoRR abs/2310.09265 (2023) - [i100]Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun:
Conformal Drug Property Prediction with Density Estimation under Covariate Shift. CoRR abs/2310.12033 (2023) - [i99]Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun:
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. CoRR abs/2312.05964 (2023) - [i98]Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park:
Stoichiometry Representation Learning with Polymorphic Crystal Structures. CoRR abs/2312.13289 (2023) - 2022
- [j66]Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5368-5384 (2022) - [j65]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3(4): 100445 (2022) - [j64]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. 34(2): 531-543 (2022) - [j63]Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. IEEE Trans. Knowl. Data Eng. 34(11): 5459-5471 (2022) - [j62]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction Intervals with Temporal Dependence. Trans. Mach. Learn. Res. 2022 (2022) - [c177]Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI 2022: 7497-7505 - [c176]Zifeng Wang, Jimeng Sun:
SurvTRACE: transformers for survival analysis with competing events. BCB 2022: 49:1-49:9 - [c175]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. EMNLP 2022: 2873-2885 - [c174]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. EMNLP 2022: 3876-3887 - [c173]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. EMNLP (Findings) 2022: 6377-6390 - [c172]Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022 - [c171]Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecule Optimization. ICLR 2022 - [c170]Chaoqi Yang, Cheng Qian, Jimeng Sun:
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. IJCAI 2022: 2348-2354 - [c169]Tianfan Fu, Jimeng Sun:
SIPF: Sampling Method for Inverse Protein Folding. KDD 2022: 378-388 - [c168]Tianfan Fu, Jimeng Sun:
Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model. KDD 2022: 389-399 - [c167]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: 297-324 - [c166]Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley:
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. NeurIPS 2022 - [c165]Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun:
Reinforced Genetic Algorithm for Structure-based Drug Design. NeurIPS 2022 - [c164]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction with Temporal Quantile Adjustments. NeurIPS