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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
- 2025
[j73]Brandon Theodorou, Benjamin P. Danek, Venkat Tummala, Shivam Pankaj Kumar, Bradley A. Malin, Jimeng Sun:
Improving medical machine learning models with generative balancing for equity and excellence. npj Digit. Medicine 8(1) (2025)- [c215]Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. AAAI 2025: 352-360 - [c214]Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun:
Long-Term EEG Partitioning for Seizure Onset Detection. AAAI 2025: 14221-14229 - [c213]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. ICLR 2025 - [c212]Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. ICLR 2025 - [c211]Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu:
Small Models are LLM Knowledge Triggers for Medical Tabular Prediction. ICLR 2025 - [i175]Zifeng Wang, Lang Cao, Qiao Jin, Joey Chan, Nicholas Wan, Behdad Afzali, Hyunjin Cho, Changin Choi, Mehdi Emamverdi, Manjot K. Gill, Sun-Hyung Kim, Yijia Li, Yi Liu, Hanley Ong, Justin F. Rousseau, Irfan Sheikh, Jenny J. Wei, Ziyang Xu, Christopher M. Zallek, Kyungsang Kim, Yifan Peng, Zhiyong Lu, Jimeng Sun:
A foundation model for human-AI collaboration in medical literature mining. CoRR abs/2501.16255 (2025) - [i174]Lingwei Zhu, Zheng Chen, Yukie Nagai, Jimeng Sun:
Towards Physiologically Sensible Predictions via the Rule-based Reinforcement Learning Layer. CoRR abs/2501.19055 (2025) - [i173]Qian Shao, Bang Du, Zepeng Li, Qiyuan Chen, Hongxia Xu, Jimeng Sun, Jian Wu, Jintai Chen:
Generation of Drug-Induced Cardiac Reactions towards Virtual Clinical Trials. CoRR abs/2502.07297 (2025) - [i172]Pengcheng Jiang, Lang Cao, Ruike Zhu, Minhao Jiang, Yunyi Zhang, Jimeng Sun, Jiawei Han:
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation. CoRR abs/2502.10996 (2025) - [i171]Jathurshan Pradeepkumar, Xihao Piao, Zheng Chen, Jimeng Sun:
Single-Channel EEG Tokenization Through Time-Frequency Modeling. CoRR abs/2502.16060 (2025) - [i170]Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai:
ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases. CoRR abs/2502.18026 (2025) - [i169]Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han:
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. CoRR abs/2503.00223 (2025) - [i168]Zifeng Wang, Junyi Gao, Benjamin P. Danek, Brandon Theodorou, Ruba Shaik, Shivashankar Thati, Seunghyun Won, Jimeng Sun:
InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation. CoRR abs/2504.00934 (2025) - [i167]Songtao Jiang, Yuan Wang, Sibo Song, Yan Zhang, Zijie Meng, Bohan Lei, Jian Wu, Jimeng Sun, Zuozhu Liu:
OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding. CoRR abs/2504.14692 (2025) - [i166]Paul Landes, Jimeng Sun, Adam Cross:
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction. CoRR abs/2505.04655 (2025) - [i165]Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun:
SECRET: Semi-supervised Clinical Trial Document Similarity Search. CoRR abs/2505.10780 (2025) - [i164]Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han:
s3: You Don't Need That Much Data to Train a Search Agent via RL. CoRR abs/2505.14146 (2025) - [i163]Zifeng Wang, Qiao Jin, Jiacheng Lin, Junyi Gao, Jathurshan Pradeepkumar, Pengcheng Jiang, Benjamin P. Danek, Zhiyong Lu, Jimeng Sun:
TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials. CoRR abs/2505.16097 (2025) - [i162]Zifeng Wang, Benjamin P. Danek, Jimeng Sun:
BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research. CoRR abs/2505.16100 (2025) - [i161]Hanyin Wang, Zhenbang Wu, Gururaj Kolar, Hariprasad Korsapati, Brian Bartlett, Bryan Hull, Jimeng Sun:
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding. CoRR abs/2505.21908 (2025) - [i160]Jiacheng Lin, Zhenbang Wu, Jimeng Sun:
Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning. CoRR abs/2505.24105 (2025) - [i159]Songtao Jiang, Yuan Wang, Ruizhe Chen, Yan Zhang, Ruilin Luo, Bohan Lei, Sibo Song, Yang Feng, Jimeng Sun, Jian Wu, Zuozhu Liu:
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making. CoRR abs/2506.12849 (2025) - 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) - [c210]Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun:
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. AAAI 2024: 15355-15363 - [c209]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. ACL (1) 2024: 443-458 - [c208]Yilin Wen, Zifeng Wang, Jimeng Sun:
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. ACL (1) 2024: 10370-10388 - [c207]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 - [c206]John Wu, David Wu, Jimeng Sun:
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. EMNLP 2024: 8848-8871 - [c205]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. EMNLP 2024: 10351-10368 - [c204]Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun:
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. ICLR 2024 - [c203]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 - [c202]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 - [c201]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. ICML 2024 - [c200]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. IJCAI 2024: 6062-6070 - [c199]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 - [c198]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 - [c197]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. NAACL-HLT 2024: 609-621 - [c196]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 - [c195]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 - [c194]Pengcheng Jiang, Lang Cao, Cao (Danica) Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. NeurIPS 2024 - [c193]Zhenbang Wu, Anant Dadu, Mike A. Nalls, Faraz Faghri, Jimeng Sun:
Instruction Tuning Large Language Models to Understand Electronic Health Records. NeurIPS 2024 - [c192]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 Y. Zou, Huaxiu Yao:
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. NeurIPS 2024 - [d3]Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun:
CTO Dataset: A Clinical Trial Outcome Benchmark. Version 0.1. Zenodo, 2024 [all versions]
- [d2]Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun:
CTO Dataset: A Clinical Trial Outcome Benchmark. Version 0.2. Zenodo, 2024 [all versions] - [d1]Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun:
CTO Dataset: A Clinical Trial Outcome Benchmark. Version 0.3. Zenodo, 2024 [all versions] - [i158]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. CoRR abs/2401.15770 (2024) - [i157]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) - [i156]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) - [i155]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) - [i154]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) - [i153]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) - [i152]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) - [i151]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) - [i150]Chufan Gao, Tianfan Fu, Jimeng Sun:
Language Interaction Network for Clinical Trial Approval Estimation. CoRR abs/2405.06662 (2024) - [i149]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) - [i148]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) - [i147]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) - [i146]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. CoRR abs/2406.01806 (2024) - [i145]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. CoRR abs/2406.01960 (2024) - [i144]Chufan Gao, Xuan Wang, Jimeng Sun:
TTM-RE: Memory-Augmented Document-Level Relation Extraction. CoRR abs/2406.05906 (2024) - [i143]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) - [i142]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) - [i141]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) - [i140]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) - [i139]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) - [i138]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) - [i137]Trisha Das, Dina Albassam, Jimeng Sun:
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM. CoRR abs/2408.06285 (2024) - [i136]Chufan Gao, Mandis Beigi, Afrah Shafquat, Jacob Aptekar, Jimeng Sun:
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data. CoRR abs/2409.07089 (2024) - [i135]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) - [i134]Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. CoRR abs/2410.04585 (2024) - [i133]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) - [i132]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) - [i131]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) - [i130]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) - [i129]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) - [i128]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) - [i127]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) - [i126]Xu Cao, Kaizhao Liang, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Jintai Chen, Zhiguang Ding, Jianguo Cao, James M. Rehg, Jimeng Sun:
Medical Video Generation for Disease Progression Simulation. CoRR abs/2411.11943 (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 2022 - [c163]Zifeng Wang, Jimeng Sun:
TransTab: Learning Transferable Tabular Transformers Across Tables. NeurIPS 2022 - [c162]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 - [c161]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: 505-520 - [c160]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW 2022: 2552-2562 - [i97]Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR abs/2202.00071 (2022) - [i96]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. CoRR abs/2202.03415 (2022) - [i95]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. CoRR abs/2202.07679 (2022) - [i94]Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun:
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. CoRR abs/2203.02446 (2022) - [i93]Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover:
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR abs/2203.04920 (2022) - [i92]Yuanqi Du, Tianfan Fu, Jimeng Sun, Shengchao Liu:
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design. CoRR abs/2203.14500 (2022) - [i91]Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun:
Clinical trial site matching with improved diversity using fair policy learning. CoRR abs/2204.06501 (2022) - [i90]Chaoqi Yang, Cheng Qian, Jimeng Sun:
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. CoRR abs/2205.03749 (2022) - [i89]Zifeng Wang, Jimeng Sun:
TransTab: Learning Transferable Tabular Transformers Across Tables. CoRR abs/2205.09328 (2022) - [i88]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction with Temporal Quantile Adjustments. CoRR abs/2205.09940 (2022) - [i87]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction Intervals with Temporal Dependence. CoRR abs/2205.12940 (2022) - [i86]Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley:
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. CoRR abs/2206.12411 (2022) - [i85]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. CoRR abs/2206.14719 (2022) - [i84]Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun:
Artificial Intelligence for In Silico Clinical Trials: A Review. CoRR abs/2209.09023 (2022) - [i83]Zhenbang Wu, Huaxiu Yao, Zhe Su, David M. Liebovitz, Lucas M. Glass, James Zou, Chelsea Finn, Jimeng Sun:
Knowledge-Driven New Drug Recommendation. CoRR abs/2210.05572 (2022) - [i82]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. CoRR abs/2210.10163 (2022) - [i81]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. CoRR abs/2211.01761 (2022) - [i80]Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun:
Reinforced Genetic Algorithm for Structure-based Drug Design. CoRR abs/2211.16508 (2022) - 2021
- [b1]Cao Xiao, Jimeng Sun:
Introduction to Deep Learning for Healthcare. Springer 2021, ISBN 978-3-030-82183-8, pp. 1-232 - [j61]Kexin Huang, Tianfan Fu, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun:
DeepPurpose: a deep learning library for drug-target interaction prediction. Bioinform. 36(22-23): 5545-5547 (2021) - [j60]Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37(6): 830-836 (2021) - [j59]Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. Bioinform. 37(18): 2988-2995 (2021) - [j58]Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun:
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection. J. Am. Medical Informatics Assoc. 28(3): 444-452 (2021) - [j57]Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin:
SynTEG: a framework for temporal structured electronic health data simulation. J. Am. Medical Informatics Assoc. 28(3): 596-604 (2021) - [j56]Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. J. Am. Medical Informatics Assoc. 28(4): 733-743 (2021) - [j55]Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine learning applications for therapeutic tasks with genomics data. Patterns 2(10): 100328 (2021) - [j54]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j53]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [c159]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. AAAI 2021: 125-133 - [c158]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. AAAI 2021: 4830-4837 - [c157]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. AAAI 2021: 6548-6556 - [c156]Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma:
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) 2021: 2096-2101 - [c155]Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun:
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB 2021: 27:1-27:10 - [c154]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData 2021: 735-745 - [c153]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData 2021: 5102-5106 - [c152]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. IJCAI 2021: 2906-2912 - [c151]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI 2021: 3728-3734 - [c150]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI 2021: 3735-3741 - [c149]Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun:
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. KDD 2021: 404-414 - [c148]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. KDD 2021: 1953-1963 - [c147]Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun:
Advances in Mining Heterogeneous Healthcare Data. KDD 2021: 4050-4051 - [c146]Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun:
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. MLHC 2021: 260-282 - [c145]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - [c144]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks 2021 - [c143]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models. NeurIPS 2021: 8378-8391 - [c142]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW 2021: 217-226 - [c141]Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun:
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. WWW 2021: 3569-3581 - [i79]Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun:
PyHealth: A Python Library for Health Predictive Models. CoRR abs/2101.04209 (2021) - [i78]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. CoRR abs/2102.04252 (2021) - [i77]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR abs/2102.09548 (2021) - [i76]Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR abs/2103.03945 (2021) - [i75]Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine Learning Applications for Therapeutic Tasks with Genomics Data. CoRR abs/2105.01171 (2021) - [i74]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. CoRR abs/2105.01876 (2021) - [i73]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR abs/2105.02711 (2021) - [i72]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR abs/2105.05326 (2021) - [i71]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models. CoRR abs/2106.00225 (2021) - [i70]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. CoRR abs/2106.07135 (2021) - [i69]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
Augmented Tensor Decomposition with Stochastic Optimization. CoRR abs/2106.07900 (2021) - [i68]Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecular Optimization. CoRR abs/2109.10469 (2021) - [i67]Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. CoRR abs/2109.14509 (2021) - [i66]Zifeng Wang, Jimeng Sun:
SurvTRACE: Transformers for Survival Analysis with Competing Events. CoRR abs/2110.00855 (2021) - [i65]Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun:
Self-supervised EEG Representation Learning for Automatic Sleep Staging. CoRR abs/2110.15278 (2021) - 2020
- [j52]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. Comput. Biol. Medicine 122: 103801 (2020) - [j51]Zhuochen Jin, Shuyuan Cui, Shunan Guo, David Gotz, Jimeng Sun, Nan Cao:
CarePre: An Intelligent Clinical Decision Assistance System. ACM Trans. Comput. Heal. 1(1): 6:1-6:20 (2020) - [j50]Ziqi Zhang, Chao Yan, Diego A. Mesa, Jimeng Sun, Bradley A. Malin:
Ensuring electronic medical record simulation through better training, modeling, and evaluation. J. Am. Medical Informatics Assoc. 27(1): 99-108 (2020) - [j49]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
Dr. Agent: Clinical predictive model via mimicked second opinions. J. Am. Medical Informatics Assoc. 27(7): 1084-1091 (2020) - [j48]Ioakeim Perros, Xiaowei Yan, James B. Jones, Jimeng Sun, Walter F. Stewart:
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work. J. Biomed. Informatics 101: 103312 (2020) - [c140]Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. AAAI 2020: 557-564 - [c139]Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. AAAI 2020: 614-621 - [c138]Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. AAAI 2020: 638-645 - [c137]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. AAAI 2020: 702-709 - [c136]Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
α-MOP: Molecule optimization with α-divergence. BIBM 2020: 240-244 - [c135]Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun:
TASTE: temporal and static tensor factorization for phenotyping electronic health records. CHIL 2020: 193-203 - [c134]Sungtae An, Shenda Hong, Jimeng Sun:
ViVA: Semi-supervised Visualization via Variational Autoencoders. ICDM 2020: 22-31 - [c133]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. ICML 2020: 5405-5415 - [c132]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. KDD 2020: 803-812 - [c131]Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang:
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. KDD 2020: 1026-1035 - [c130]Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov:
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD 2020: 1614-1624 - [c129]Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun:
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. KDD 2020: 1625-1635 - [c128]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. WWW 2020: 530-540 - [c127]Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
Clinical Report Auto-completion. WWW 2020: 541-550 - [c126]Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun:
Patient-Trial Matching with Deep Embedding and Entailment Prediction. WWW 2020: 1029-1037 - [c125]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. WWW 2020: 1704-1714 - [i64]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR abs/2001.01550 (2020) - [i63]Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. CoRR abs/2001.08179 (2020) - [i62]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. CoRR abs/2001.10054 (2020) - [i61]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR abs/2001.11363 (2020) - [i60]Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun:
CLARA: Clinical Report Auto-completion. CoRR abs/2002.11701 (2020) - [i59]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu:
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR abs/2003.05731 (2020) - [i58]Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun:
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. CoRR abs/2004.08919 (2020) - [i57]Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR abs/2004.11424 (2020) - [i56]Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun:
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. CoRR abs/2004.14949 (2020) - [i55]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR abs/2005.10918 (2020) - [i54]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. CoRR abs/2006.08765 (2020) - [i53]Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun:
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR abs/2006.08796 (2020) - [i52]Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang:
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. CoRR abs/2006.10217 (2020) - [i51]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
ELF: An Early-Exiting Framework for Long-Tailed Classification. CoRR abs/2006.11979 (2020) - [i50]Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun:
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. CoRR abs/2007.05597 (2020) - [i49]Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov:
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR abs/2008.04063 (2020) - [i48]Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. CoRR abs/2008.04215 (2020) - [i47]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. CoRR abs/2008.10546 (2020) - [i46]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. CoRR abs/2008.12833 (2020) - [i45]Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization. CoRR abs/2010.01450 (2020) - [i44]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. CoRR abs/2010.02318 (2020) - [i43]Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun:
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. CoRR abs/2010.03951 (2020) - [i42]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. CoRR abs/2010.04081 (2020) - [i41]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR abs/2010.11389 (2020) - [i40]Yanbo Xu, Cao Xiao, Jimeng Sun:
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR abs/2010.15028 (2020) - [i39]Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun:
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection. CoRR abs/2010.16039 (2020) - [i38]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. CoRR abs/2012.04747 (2020) - [i37]Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Jimeng Sun:
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. CoRR abs/2012.10020 (2020)
2010 – 2019
- 2019
- [j47]Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun:
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization. J. Biomed. Informatics 93 (2019) - [j46]Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc:
Optimizing sparse tensor times matrix on GPUs. J. Parallel Distributed Comput. 129: 99-109 (2019) - [j45]Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, M. Brandon Westover, Samuel Madden, Michael Stonebraker:
Smile: A System to Support Machine Learning on EEG Data at Scale. Proc. VLDB Endow. 12(12): 2230-2241 (2019) - [j44]Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Trans. Vis. Comput. Graph. 25(1): 299-309 (2019) - [c124]Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun:
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. AAAI 2019: 435-442 - [c123]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. AAAI 2019: 1126-1133 - [c122]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 223-232 - [c121]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 542 - [c120]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. BioNLP@ACL 2019: 261-272 - [c119]Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc:
Efficient and effective sparse tensor reordering. ICS 2019: 227-237 - [c118]Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun:
DDL: Deep Dictionary Learning for Predictive Phenotyping. IJCAI 2019: 5857-5863 - [c117]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI 2019: 5888-5894 - [c116]Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI 2019: 5895-5901 - [c115]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. IJCAI 2019: 5953-5959 - [c114]Cao Xiao, Jimeng Sun:
Tutorial: Data Mining Methods for Drug Discovery and Development. KDD 2019: 3195-3196 - [c113]Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun:
EEGtoText: Learning to Write Medical Reports from EEG Recordings. MLHC 2019: 513-531 - [c112]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. MLHC 2019: i - [c111]Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho:
CP Tensor Decomposition with Cannot-Link Intermode Constraints. SDM 2019: 711-719 - [c110]Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar:
Guaranteed Scalable Learning of Latent Tree Models. UAI 2019: 883-893 - [c109]Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun:
Longitudinal Adversarial Attack on Electronic Health Records Data. WWW 2019: 2558-2564 - [i36]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR abs/1905.11333 (2019) - [i35]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. CoRR abs/1906.00346 (2019) - [i34]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. CoRR abs/1906.03380 (2019) - [i33]Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. CoRR abs/1907.01022 (2019) - [i32]Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. CoRR abs/1907.01099 (2019) - [i31]Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun:
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. CoRR abs/1910.02107 (2019) - [i30]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. CoRR abs/1910.06100 (2019) - [i29]Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun:
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. CoRR abs/1911.05843 (2019) - [i28]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. CoRR abs/1911.06446 (2019) - [i27]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR abs/1911.08630 (2019) - [i26]Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. CoRR abs/1911.10395 (2019) - [i25]Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. CoRR abs/1911.13232 (2019) - [i24]Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. CoRR abs/1912.05910 (2019) - 2018
- [j43]Cao Xiao, Edward Choi, Jimeng Sun:
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. 25(10): 1419-1428 (2018) - [j42]Siddharth Biswal, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Jimeng Sun, Matt T. Bianchi:
Expert-level sleep scoring with deep neural networks. J. Am. Medical Informatics Assoc. 25(12): 1643-1650 (2018) - [c108]Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun:
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. CIKM 2018: 793-802 - [c107]Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun:
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. KDD 2018: 2080-2089 - [c106]Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun:
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. KDD 2018: 2565-2573 - [c105]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. NAACL-HLT 2018: 1101-1111 - [c104]Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun:
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. NeurIPS 2018: 4552-4562 - [c103]Jiajia Li, Jimeng Sun, Richard W. Vuduc:
HiCOO: hierarchical storage of sparse tensors. SC 2018: 19:1-19:15 - [i23]James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein:
Explainable Prediction of Medical Codes from Clinical Text. CoRR abs/1802.05695 (2018) - [i22]Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun:
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. CoRR abs/1803.04572 (2018) - [i21]Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun:
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. CoRR abs/1803.05473 (2018) - [i20]Olivier Deiss, Siddharth Biswal, Jing Jin, Haoqi Sun, M. Brandon Westover, Jimeng Sun:
HAMLET: Interpretable Human And Machine co-LEarning Technique. CoRR abs/1803.09702 (2018) - [i19]Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. CoRR abs/1805.10724 (2018) - [i18]Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun:
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. CoRR abs/1807.08820 (2018) - [i17]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. CoRR abs/1809.01852 (2018) - [i16]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. CoRR abs/1809.01921 (2018) - [i15]Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun:
AWE: Asymmetric Word Embedding for Textual Entailment. CoRR abs/1809.04047 (2018) - [i14]Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun:
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. CoRR abs/1810.09593 (2018) - [i13]Zhuochen Jin, Jingshun Yang, Shuyuan Cui, David Gotz, Jimeng Sun, Nan Cao:
CarePre: An Intelligent Clinical Decision Assistance System. CoRR abs/1811.02218 (2018) - 2017
- [j41]Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
Using recurrent neural network models for early detection of heart failure onset. J. Am. Medical Informatics Assoc. 24(2): 361-370 (2017) - [c102]Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun:
StructInf: Mining Structural Influence from Social Streams. AAAI 2017: 73-80 - [c101]Yu Deng, Al'ona Furmanchuk, Robert Chen, Faraz S. Ahmad, Jimeng Sun, Abel N. Kho:
Use of Clinical Phenotypes and Non-negative Tensor Factorization for Heart Failure Prediction. AMIA 2017 - [c100]Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh:
Computational Phenotyping on Diverse Data Sources. AMIA 2017 - [c99]Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun:
Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records. AMIA 2017 - [c98]Jette Henderson, Joyce C. Ho, Abel N. Kho, Joshua C. Denny, Bradley A. Malin, Jimeng Sun, Joydeep Ghosh:
Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping. ICHI 2017: 214-223 - [c97]Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc:
Model-Driven Sparse CP Decomposition for Higher-Order Tensors. IPDPS 2017: 1048-1057 - [c96]Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun:
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. KDD 2017: 375-384 - [c95]Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun:
GRAM: Graph-based Attention Model for Healthcare Representation Learning. KDD 2017: 787-795 - [c94]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. KDD 2017: 887-895 - [c93]Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun:
LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity. KDD 2017: 1315-1324 - [c92]Edward Choi, Siddharth Biswal, Bradley A. Malin, Jon Duke, Walter F. Stewart, Jimeng Sun:
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks. MLHC 2017: 286-305 - [c91]Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun:
Polyadic Regression and its Application to Chemogenomics. SDM 2017: 72-80 - [c90]Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun:
Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. WWW (Companion Volume) 2017: 331-339 - [e1]Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017. ACM 2017, ISBN 978-1-4503-4918-5 [contents] - [i12]Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun:
Causal Regularization. CoRR abs/1702.02604 (2017) - [i11]Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun:
SPARTan: Scalable PARAFAC2 for Large & Sparse Data. CoRR abs/1703.04219 (2017) - [i10]Edward Choi, Siddharth Biswal, Bradley A. Malin, Jon Duke, Walter F. Stewart, Jimeng Sun:
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks. CoRR abs/1703.06490 (2017) - [i9]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. CoRR abs/1704.03141 (2017) - [i8]Siddharth Biswal, Joshua Kulas, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Matt T. Bianchi, Jimeng Sun:
SLEEPNET: Automated Sleep Staging System via Deep Learning. CoRR abs/1707.08262 (2017) - 2016
- [j40]Rachel L. Richesson, Jimeng Sun, Jyotishman Pathak, Abel N. Kho, Joshua C. Denny:
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods. Artif. Intell. Medicine 71: 57-61 (2016) - [j39]Kunal Malhotra, Shamkant B. Navathe, Duen Horng Chau, Costas Hadjipanayis, Jimeng Sun:
Constraint based temporal event sequence mining for Glioblastoma survival prediction. J. Biomed. Informatics 61: 267-275 (2016) - [c89]Yuan Luo, Jimeng Sun, Xiaoqian Jiang, Fei Wang:
Computational Phenotyping Methods. AMIA 2016 - [c88]Jimeng Sun, Jim Rehg, Suchi Saria, Hua Xu, Eric P. Xing:
Advanced Machine Learning for Healthcare. CRI 2016 - [c87]Zhijun Yin, You Chen, Daniel Fabbri, Jimeng Sun, Bradley A. Malin:
#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information. ICWSM 2016: 456-465 - [c86]Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun:
Multi-layer Representation Learning for Medical Concepts. KDD 2016: 1495-1504 - [c85]Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun:
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. KDD 2016: 2065-2074 - [c84]Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. MLHC 2016: 301-318 - [c83]Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, Walter F. Stewart:
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism. NIPS 2016: 3504-3512 - [c82]Zhaoming Wu, Charu C. Aggarwal, Jimeng Sun:
The Troll-Trust Model for Ranking in Signed Networks. WSDM 2016: 447-456 - [i7]Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction. CoRR abs/1602.03686 (2016) - [i6]Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun:
Multi-layer Representation Learning for Medical Concepts. CoRR abs/1602.05568 (2016) - [i5]Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun:
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. CoRR abs/1602.06468 (2016) - [i4]Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun:
RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism. CoRR abs/1608.05745 (2016) - [i3]Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun:
Sparse Hierarchical Tucker Factorization and its Application to Healthcare. CoRR abs/1610.07722 (2016) - [i2]Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun:
GRAM: Graph-based Attention Model for Healthcare Representation Learning. CoRR abs/1611.07012 (2016) - 2015
- [j38]Fei Wang, Jimeng Sun:
Survey on distance metric learning and dimensionality reduction in data mining. Data Min. Knowl. Discov. 29(2): 534-564 (2015) - [j37]Dong Han, Shuang Wang, Chao Jiang, Xiaoqian Jiang, Hyeon-Eui Kim, Jimeng Sun, Lucila Ohno-Machado:
Trends in biomedical informatics: automated topic analysis of JAMIA articles. J. Am. Medical Informatics Assoc. 22(6): 1153-1163 (2015) - [j36]You Chen, Joydeep Ghosh, Cosmin Adrian Bejan, Carl A. Gunter, Siddharth Gupta, Abel N. Kho, David M. Liebovitz, Jimeng Sun, Joshua C. Denny, Bradley A. Malin:
Building bridges across electronic health record systems through inferred phenotypic topics. J. Biomed. Informatics 55: 82-93 (2015) - [j35]Rahul C. Basole, Mark L. Braunstein, Jimeng Sun:
Data and Analytics Challenges for a Learning Healthcare System. ACM J. Data Inf. Qual. 6(2-3): 10:1-10:4 (2015) - [j34]Fei Wang, Jimeng Sun:
PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision. IEEE J. Biomed. Health Informatics 19(3): 1053-1060 (2015) - [c81]Robert Chen, Hang Su, Yi Zhen, Mohammed Khalilia, Daniel Hirsch, Michael Thompson, Tod Davis, Yue Peng, Sizhe Lin, Javier Tejedor-Sojo, Elizabeth Searles, Jimeng Sun:
Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction. AMIA 2015 - [c80]Edward Choi, Jina J. Dcruz, Sizhe Lin, Aashu B. Singh, Hang Su, Kelly Ryder, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun:
System Architecture of CDC I-SMILE Recommendation Engine. AMIA 2015 - [c79]Jina J. Dcruz, Kelly Ryder, Edward Choi, Sizhe Lin, Aashu B. Singh, Hang Su, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun:
Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health. AMIA 2015 - [c78]Mohammed Khalilia, Myung Choi, Amelia Henderson, Sneha Iyengar, Mark L. Braunstein, Jimeng Sun:
Clinical Predictive Modeling Development and Deployment through FHIR Web Services. AMIA 2015 - [c77]Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun:
Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. ICDM 2015: 721-726 - [c76]Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun:
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. ICDM 2015: 943-948 - [c75]Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun:
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. KDD 2015: 1265-1274 - [c74]Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song:
Time-Sensitive Recommendation From Recurrent User Activities. NIPS 2015: 3492-3500 - [c73]Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc:
An input-adaptive and in-place approach to dense tensor-times-matrix multiply. SC 2015: 76:1-76:12 - [c72]Jie Tang, Zhanpeng Fang, Jimeng Sun:
Incorporating Social Context and Domain Knowledge for Entity Recognition. WWW 2015: 517-526 - [i1]Edward Choi, Mohammad Taha Bahadori, Jimeng Sun:
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks. CoRR abs/1511.05942 (2015) - 2014
- [j33]Aris Gkoulalas-Divanis, Grigorios Loukides, Jimeng Sun:
Toward smarter healthcare: Anonymizing medical data to support research studies. IBM J. Res. Dev. 58(1) (2014) - [j32]Roy J. Byrd, Steven R. Steinhubl, Jimeng Sun, Shahram Ebadollahi, Walter F. Stewart:
Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records. Int. J. Medical Informatics 83(12): 983-992 (2014) - [j31]Jimeng Sun, Candace D. McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua C. Denny, Jacqueline Kirby, Thomas A. Lasko, Alexander Saip, Bradley A. Malin:
Predicting changes in hypertension control using electronic health records from a chronic disease management program. J. Am. Medical Informatics Assoc. 21(2): 337-344 (2014) - [j30]Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun:
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. J. Biomed. Informatics 48: 160-170 (2014) - [j29]Aris Gkoulalas-Divanis, Grigorios Loukides, Li Xiong, Jimeng Sun:
Informatics methods in medical privacy. J. Biomed. Informatics 50: 1-3 (2014) - [j28]Aris Gkoulalas-Divanis, Grigorios Loukides, Jimeng Sun:
Publishing data from electronic health records while preserving privacy: A survey of algorithms. J. Biomed. Informatics 50: 4-19 (2014) - [j27]Joyce C. Ho, Joydeep Ghosh, Steven R. Steinhubl, Walter F. Stewart, Joshua C. Denny, Bradley A. Malin, Jimeng Sun:
Limestone: High-throughput candidate phenotype generation via tensor factorization. J. Biomed. Informatics 52: 199-211 (2014) - [c71]Joyce C. Ho, Joydeep Ghosh, Jimeng Sun:
Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization. Brain Informatics and Health 2014: 142-151 - [c70]Joyce C. Ho, Joydeep Ghosh, Jimeng Sun:
Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. KDD 2014: 115-124 - [c69]Jie Tang, Jimeng Sun:
Computational models for social influence analysis: [extended abstract]. WWW (Companion Volume) 2014: 205-206 - [p5]Walter F. Stewart, Jason Roy, Jimeng Sun, Shahram Ebadollahi:
Clinical Utility of Machine Learning and Longitudinal EHR Data. Machine Learning in Healthcare Informatics 2014: 209-227 - 2013
- [j26]Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi, Andrew F. Laine:
A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 272-285 (2013) - [c68]Niels Peek, Jimeng Sun, John H. Holmes, Fernando Martín-Sánchez, Riccardo Bellazzi:
Biomedical and Healthcare Analytics on Big Data. AMIA 2013 - [c67]Jie Tang, Sen Wu, Jimeng Sun:
Confluence: conformity influence in large social networks. KDD 2013: 347-355 - [c66]Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye:
FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD 2013: 1034-1042 - [c65]Jimeng Sun, Chandan K. Reddy:
Big data analytics for healthcare. KDD 2013: 1525 - [c64]Niels Peek, John H. Holmes, Fernando Martín-Sánchez, Jimeng Sun:
Big Data Analytics in Biomedicine and Health: Trends and Challenges. MedInfo 2013: 1237 - [c63]Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou:
Patient Risk Prediction Model via Top-k Stability Selection. SDM 2013: 55-63 - [c62]Sen Wu, Jimeng Sun, Jie Tang:
Patent partner recommendation in enterprise social networks. WSDM 2013: 43-52 - [c61]Jimeng Sun, Jie Tang:
Models and algorithms for social influence analysis. WSDM 2013: 775-776 - [p4]Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu:
Dimensionality Reduction and Filtering on Time Series Sensor Streams. Managing and Mining Sensor Data 2013: 103-141 - 2012
- [j25]Daby M. Sow, Jimeng Sun, Alain Biem, Jianying Hu, Marion Blount, Shahram Ebadollahi:
Real-time analysis for short-term prognosis in intensive care. IBM J. Res. Dev. 56(5): 3 (2012) - [j24]Marianthi Markatou, Prabani Kuruppumullage Don, Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi:
Case-based reasoning in comparative effectiveness research. IBM J. Res. Dev. 56(5): 4 (2012) - [j23]David Gotz, Jimeng Sun, Nan Cao:
Multifaceted visual analytics for healthcare applications. IBM J. Res. Dev. 56(5): 6 (2012) - [j22]Parikshit Sondhi, Jimeng Sun, ChengXiang Zhai, Robert Sorrentino, Martin S. Kohn:
Leveraging medical thesauri and physician feedback for improving medical literature retrieval for case queries. J. Am. Medical Informatics Assoc. 19(5): 851-858 (2012) - [j21]Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment. Stat. Anal. Data Min. 5(1): 54-69 (2012) - [j20]Jimeng Sun, Fei Wang, Jianying Hu, Shahram Ebadollahi:
Supervised patient similarity measure of heterogeneous patient records. SIGKDD Explor. 14(1): 16-24 (2012) - [j19]Jie Tang, Yuan Zhang, Jimeng Sun, Jinghai Rao, Wenjing Yu, Yiran Chen, Alvis Cheuk M. Fong:
Quantitative Study of Individual Emotional States in Social Networks. IEEE Trans. Affect. Comput. 3(2): 132-144 (2012) - [j18]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
gbase: an efficient analysis platform for large graphs. VLDB J. 21(5): 637-650 (2012) - [c60]David Gotz, Harry Stavropoulos, Jimeng Sun, Fei Wang:
ICDA: A Platform for Intelligent Care Delivery Analytics. AMIA 2012 - [c59]Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi:
A Healthcare Utilization Analysis Framework for Hot Spotting and Contextual Anomaly Detection. AMIA 2012 - [c58]Adam Perer, Jimeng Sun:
MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression. AMIA 2012 - [c57]Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart:
Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records. AMIA 2012 - [c56]Fei Wang, Jianying Hu, Jimeng Sun:
Medical prognosis based on patient similarity and expert feedback. ICPR 2012: 1799-1802 - [c55]Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi:
Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. KDD 2012: 453-461 - [c54]Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai:
SympGraph: a framework for mining clinical notes through symptom relation graphs. KDD 2012: 1167-1175 - [c53]Jie Tang, Sen Wu, Jimeng Sun, Hang Su:
Cross-domain collaboration recommendation. KDD 2012: 1285-1293 - [c52]Gengxin Miao, Ziyu Guan, Louise E. Moser, Xifeng Yan, Shu Tao, Nikos Anerousis, Jimeng Sun:
Latent association analysis of document pairs. KDD 2012: 1415-1423 - [c51]Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi:
SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications. SDM 2012: 576-587 - [c50]U Kang, Hanghang Tong, Jimeng Sun:
Fast Random Walk Graph Kernel. SDM 2012: 828-838 - 2011
- [j17]Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun, Tanveer Fathima Syeda-Mahmood, Wang Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu:
Information technology for healthcare transformation. IBM J. Res. Dev. 55(5): 6 (2011) - [j16]David Gotz, Jimeng Sun:
IEEE VisWeek Workshop on Visual Analytics in Health Care 2010. SIGHIT Rec. 1(1): 31-32 (2011) - [j15]Jimeng Sun, Yan Liu, Jie Tang, Chid Apté:
Introduction to Special Issue on Large-Scale Data Mining. ACM Trans. Knowl. Discov. Data 5(2): 7:1 (2011) - [j14]Yu-Ru Lin, Jimeng Sun, Hari Sundaram, Aisling Kelliher, Paul C. Castro, Ravi B. Konuru:
Community Discovery via Metagraph Factorization. ACM Trans. Knowl. Discov. Data 5(3): 17:1-17:44 (2011) - [j13]Nan Cao, David Gotz, Jimeng Sun, Huamin Qu:
DICON: Interactive Visual Analysis of Multidimensional Clusters. IEEE Trans. Vis. Comput. Graph. 17(12): 2581-2590 (2011) - [c49]Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi:
Automatic Group Sparse Coding. AAAI 2011: 495-500 - [c48]Chi Wang, Jie Tang, Jimeng Sun, Jiawei Han:
Dynamic Social Influence Analysis through Time-Dependent Factor Graphs. ASONAM 2011: 239-246 - [c47]Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. HISB 2011: 250-257 - [c46]Nan Cao, David Gotz, Jimeng Sun, Yu-Ru Lin, Huamin Qu:
SolarMap: Multifaceted Visual Analytics for Topic Exploration. ICDM 2011: 101-110 - [c45]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
GBASE: a scalable and general graph management system. KDD 2011: 1091-1099 - [c44]Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment. SDM 2011: 59-70 - [c43]U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong:
Centralities in Large Networks: Algorithms and Observations. SDM 2011: 119-130 - [c42]Fei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi:
iMet: Interactive Metric Learning in Healthcare Applications. SDM 2011: 944-955 - [p3]Jimeng Sun, Jie Tang:
A Survey of Models and Algorithms for Social Influence Analysis. Social Network Data Analytics 2011: 177-214 - 2010
- [j12]Nan Cao, Jimeng Sun, Yu-Ru Lin, David Gotz, Shixia Liu, Huamin Qu:
FacetAtlas: Multifaceted Visualization for Rich Text Corpora. IEEE Trans. Vis. Comput. Graph. 16(6): 1172-1181 (2010) - [c41]Duo Zhang, Jimeng Sun, ChengXiang Zhai, Abhijit Bose, Nikos Anerousis:
PTM: probabilistic topic mapping model for mining parallel document collections. CIKM 2010: 1653-1656 - [c40]Parikshit Sondhi, Jimeng Sun, ChengXiang Zhai, Robert Sorrentino, Martin S. Kohn, Shahram Ebadollahi, Yanen Li:
Medical Case-based Retrieval by Leveraging Medical Ontology and Physician Feedback: UIUC-IBM at ImageCLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c39]Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi:
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support. ICDM 2010: 1061-1066 - [c38]Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jinghai Rao:
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model. ICDM 2010: 1193-1198 - [c37]Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi:
Localized Supervised Metric Learning on Temporal Physiological Data. ICPR 2010: 4149-4152 - [c36]Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, Qing Yang, Jimeng Sun:
Temporal recommendation on graphs via long- and short-term preference fusion. KDD 2010: 723-732 - [c35]Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang:
Social action tracking via noise tolerant time-varying factor graphs. KDD 2010: 1049-1058 - [c34]Yu-Ru Lin, Jimeng Sun, Nan Cao, Shixia Liu:
ContexTour: Contextual Contour Analysis on Dynamic Multi-relational Clustering. SDM 2010: 418-429 - [p2]Jimeng Sun, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Community Evolution and Change Point Detection in Time-Evolving Graphs. Link Mining 2010: 73-104
2000 – 2009
- 2009
- [j11]Asheq Khan, Hani Jamjoom, Jimeng Sun:
AIM-HI: A framework for request routing in large-scale IT global service delivery. IBM J. Res. Dev. 53(6): 4 (2009) - [c33]Lei Shi, Nan Cao, Shixia Liu, Weihong Qian, Li Tan, Guodong Wang, Jimeng Sun, Ching-Yung Lin:
HiMap: Adaptive visualization of large-scale online social networks. PacificVis 2009: 41-48 - [c32]Ching-Yung Lin, Nan Cao, Shixia Liu, Spiros Papadimitriou, Jimeng Sun, Xifeng Yan:
SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence. ICDE 2009: 1483-1486 - [c31]Fei Wang, Jimeng Sun, Tao Li, Nikos Anerousis:
Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification. ICDM 2009: 1022-1027 - [c30]Yu-Ru Lin, Jimeng Sun, Paul C. Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher:
MetaFac: community discovery via relational hypergraph factorization. KDD 2009: 527-536 - [c29]Jie Tang, Jimeng Sun, Chi Wang, Zi Yang:
Social influence analysis in large-scale networks. KDD 2009: 807-816 - [c28]Jimeng Sun, Spiros Papadimitriou, Ching-Yung Lin, Nan Cao, Shixia Liu, Weihong Qian:
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis. SDM 2009: 1064-1075 - [c27]Yu-Ru Lin, Jimeng Sun, Paul C. Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher:
Extracting community structure through relational hypergraphs. WWW 2009: 1213-1214 - 2008
- [j10]Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad:
Two heads better than one: pattern discovery in time-evolving multi-aspect data. Data Min. Knowl. Discov. 17(1): 111-128 (2008) - [j9]Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos:
Less is More: Sparse Graph Mining with Compact Matrix Decomposition. Stat. Anal. Data Min. 1(1): 6-22 (2008) - [j8]Jimeng Sun:
Incremental pattern discovery on streams, graphs and tensors. SIGKDD Explor. 10(2): 28-29 (2008) - [j7]Dacheng Tao, Mingli Song, Xuelong Li, Jialie Shen, Jimeng Sun, Xindong Wu, Christos Faloutsos, Stephen J. Maybank:
Bayesian Tensor Approach for 3-D Face Modeling. IEEE Trans. Circuits Syst. Video Technol. 18(10): 1397-1410 (2008) - [j6]Jimeng Sun, Dacheng Tao, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos:
Incremental tensor analysis: Theory and applications. ACM Trans. Knowl. Discov. Data 2(3): 11:1-11:37 (2008) - [c26]Huiming Qu, Jimeng Sun, Hani Jamjoom:
SCOOP: Automated Social Recommendation in Enterprise Process Management. IEEE SCC (1) 2008: 101-108 - [c25]Christos Boutsidis, Jimeng Sun, Nikos Anerousis:
Clustered subset selection and its applications on it service metrics. CIKM 2008: 599-608 - [c24]Tamara G. Kolda, Jimeng Sun:
Scalable Tensor Decompositions for Multi-aspect Data Mining. ICDM 2008: 363-372 - [c23]Spiros Papadimitriou, Jimeng Sun:
DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining. ICDM 2008: 512-521 - [c22]Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, Christos Faloutsos:
Bayesian tensor analysis. IJCNN 2008: 1402-1409 - [c21]Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos:
Colibri: fast mining of large static and dynamic graphs. KDD 2008: 686-694 - [c20]Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad:
Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data. ECML/PKDD (1) 2008: 22 - [c19]Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu:
Hierarchical, Parameter-Free Community Discovery. ECML/PKDD (2) 2008: 170-187 - 2007
- [c18]Feifei Li, Jimeng Sun, Spiros Papadimitriou, George A. Mihaila, Ioana Stanoi:
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking. ICDE 2007: 686-695 - [c17]Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, Christos Faloutsos:
Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria. ICONIP (1) 2007: 791-801 - [c16]Xing Wei, Jimeng Sun, Xuerui Wang:
Dynamic Mixture Models for Multiple Time-Series. IJCAI 2007: 2909-2914 - [c15]Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu:
GraphScope: parameter-free mining of large time-evolving graphs. KDD 2007: 687-696 - [c14]Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos:
Less is More: Compact Matrix Decomposition for Large Sparse Graphs. SDM 2007: 366-377 - [c13]Christos Faloutsos, Tamara G. Kolda, Jimeng Sun:
Mining large graphs and streams using matrix and tensor tools. SIGMOD Conference 2007: 1174 - [p1]Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos:
Dimensionality Reduction and Forecasting on Streams. Data Streams - Models and Algorithms 2007: 261-288 - 2006
- [j5]Jimeng Sun, Yufei Tao, Dimitris Papadias, George Kollios:
Spatio-temporal join selectivity. Inf. Syst. 31(8): 793-813 (2006) - [j4]Evan Hoke, Jimeng Sun, John D. Strunk, Gregory R. Ganger, Christos Faloutsos:
InteMon: continuous mining of sensor data in large-scale self-infrastructures. ACM SIGOPS Oper. Syst. Rev. 40(3): 38-44 (2006) - [c12]Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. Ganger, Christos Faloutsos:
Intelligent system monitoring on large clusters. DMSN 2006: 47-52 - [c11]Spiros Papadimitriou, Jimeng Sun, Philip S. Yu:
Local Correlation Tracking in Time Series. ICDM 2006: 456-465 - [c10]Jimeng Sun, Spiros Papadimitriou, Philip S. Yu:
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams. ICDM 2006: 1076-1080 - [c9]Jimeng Sun, Dacheng Tao, Christos Faloutsos:
Beyond streams and graphs: dynamic tensor analysis. KDD 2006: 374-383 - [c8]Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos:
Distributed Pattern Discovery in Multiple Streams. PAKDD 2006: 713-718 - [c7]Evan Hoke, Jimeng Sun, Christos Faloutsos:
InteMon: Intelligent System Monitoring on Large Clusters. VLDB 2006: 1239-1242 - 2005
- [j3]Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos:
Relevance search and anomaly detection in bipartite graphs. SIGKDD Explor. 7(2): 48-55 (2005) - [c6]Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos:
Online Latent Variable Detection in Sensor Networks. ICDE 2005: 1126-1127 - [c5]Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos:
Neighborhood Formation and Anomaly Detection in Bipartite Graphs. ICDM 2005: 418-425 - [c4]Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos:
Streaming Pattern Discovery in Multiple Time-Series. VLDB 2005: 697-708 - 2004
- [c3]Jimeng Sun, Dimitris Papadias, Yufei Tao, Bin Liu:
Querying about the Past, the Present, and the Future in Spatio-Temporal. ICDE 2004: 202-213 - 2003
- [j2]Yufei Tao, Jimeng Sun, Dimitris Papadias:
Analysis of predictive spatio-temporal queries. ACM Trans. Database Syst. 28(4): 295-336 (2003) - [c2]Yufei Tao, Jimeng Sun, Dimitris Papadias:
Selectivity Estimation for Predictive Spatio-Temporal Queries. ICDE 2003: 417-428 - [c1]Yufei Tao, Dimitris Papadias, Jimeng Sun:
The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries. VLDB 2003: 790-801 - 2002
- [j1]Dimitris Papadias, Yufei Tao, Jun Zhang, Nikos Mamoulis, Qiongmao Shen, Jimeng Sun:
Indexing and Retrieval of Historical Aggregate Information about Moving Objects. IEEE Data Eng. Bull. 25(2): 10-17 (2002)
Coauthor Index
Lucas Glass
aka: Lucas M. Glass
aka: Lucas M. Glass
[j71] [i140] [j68] [i112] [j65] [j63] [c177] [c161] [c160] [i97] [i96] [i94] [i91] [i84] [i83] [j61] [j60] [j59] [j58] [j56] [j55] [c159] [c158] [c156] [c155] [c152] [c151] [c150] [c149] [c142] [i79] [i78] [i76] [i75] [i74] [i73] [i72] [j49] [c140] [c139] [c137] [c136] [c132] [c128] [c127] [c126] [i63] [i62] [i60] [i58] [i57] [i56] [i54] [i53] [i48] [i45] [i44] [i43] [i41] [i39] [i38] [i33] [i32] [i28] [i26] [i25]
Brandon Theodorou
aka: Brandon Philip Theodorou
aka: Brandon Philip Theodorou
[i175] [i169] [i168] [i164] [i163] [i162] [c208] [c200] [c197] [c196] [c195] [i158] [i156] [i152] [i141] [i138] [i131] [i130] [i129] [i127] [c190] [c187] [c183] [i119] [i117] [i116] [i111] [i108] [i107] [i104] [i103] [c176] [c175] [c174] [c173] [c172] [c163] [i89] [i85] [i84] [i82] [i81] [i67] [i66]
Cao Xiao
aka: Cao (Danica) Xiao
aka: Cao (Danica) Xiao
[c215] [c212] [j71] [c210] [c204] [c201] [c200] [c199] [c197] [c196] [c194] [i158] [i157] [i152] [i148] [i145] [i140] [i134] [c190] [c189] [c187] [c184] [c182] [i121] [i120] [i119] [i117] [i116] [i115] [i112] [i111] [i109] [i99] [j65] [j64] [j63] [c177] [c171] [c162] [c161] [c160] [i96] [i94] [i91] [b1] [j61] [j60] [j59] [j58] [j56] [j55] [c159] [c158] [c156] [c155] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c144] [c142] [c141] [i79] [i78] [i77] [i76] [i75] [i74] [i73] [i72] [i70] [i69] [i68] [i65] [j52] [j49] [c140] [c139] [c138] [c137] [c136] [c132] [c128] [c127] [c126] [c125] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i48] [i45] [i44] [i43] [i41] [i40] [i39] [i38] [c123] [c122] [c121] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c109] [i36] [i35] [i33] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [j43] [c104] [i17] [i16] [i15] [i14]
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