Jimeng Sun

505 papers A* 129A 25B 6Misc 13Journal 274Unranked 52
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study.
CoRR
Yongda Fan, John Wu, Andrea Fitzpatrick, Naveen Baskaran, Jimeng Sun, Adam R. Cross
2026 J jnl
AMEND++: Benchmarking Eligibility Criteria Amendments in Clinical Trials.
CoRR
Trisha Das, Mandis Beigi, Jacob Aptekar, Jimeng Sun
2026 J jnl
Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI.
CoRR
John Wu, Zhenbang Wu, Jimeng Sun
2026 J jnl
Compliance and factuality of large language models for clinical research document generation.
J. Am. Medical Informatics Assoc.
Zifeng Wang, Junyi Gao, Benjamin P. Danek, Brandon Theodorou, Ruba Shaik, Shivashankar Thati, Seunghyun Won, Jimeng Sun
2026 J jnl
ConfHit: Conformal Generative Design with Oracle Free Guarantees.
CoRR
Siddhartha Laghuvarapu, Ying Jin, Jimeng Sun
2026 J jnl
DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research.
CoRR
Zifeng Wang, Zheng Chen, Ziwei Yang, Xuan Wang, Qiao Jin, Yifan Peng, Zhiyong Lu, Jimeng Sun
2026 J jnl
How Well Do Multimodal Models Reason on ECG Signals?
CoRR
Maxwell A. Xu, Harish Haresamudram, Catherine W. Liu, Patrick Langer, Jathurshan Pradeepkumar, Wanting Mao, Sunita J. Ferns, Aradhana Verma, Jimeng Sun, Paul Schmiedmayer, Xin Liu, Daniel McDuff, Emily B. Fox, James M. Rehg
2026 J jnl
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching.
CoRR
Siddhartha Laghuvarapu, Rohan Deb, Jimeng Sun
2026 J jnl
MIMIC-RD: Can LLMs differentially diagnose rare diseases in real-world clinical settings?
CoRR
Zilal Eiz AlDin, John Wu, Jeffrey Paul Fung, Jennifer King, Mya Watts, Lauren ONeill, Adam Cross, Jimeng Sun
2026 J jnl
Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification.
CoRR
Arjun Chatterjee, Sayeed Sajjad Razin, John Wu, Siddhartha Laghuvarapu, Jathurshan Pradeepkumar, Jimeng Sun
2026 J jnl
Neural Signals Generate Clinical Notes in the Wild.
CoRR
Jathurshan Pradeepkumar, Zheng Chen, Jimeng Sun
2026 J jnl
ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks.
CoRR
Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara
2026 J jnl
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning.
CoRR
John Wu, Yongda Fan, Zhenbang Wu, Paul Landes, Eric Schrock, Sayeed Sajjad Razin, Arjun Chatterjee, Naveen Baskaran, Joshua Steier, Andrea Fitzpatrick, Bilal Arif, Rian Atri, Jathurshan Pradeepkumar, Siddhartha Laghuvarapu, Junyi Gao, Adam R. Cross, Jimeng Sun
2026 J jnl
Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models.
CoRR
Sharim Khan, Paul Landes, Adam Cross, Jimeng Sun
2026 A* conf
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation.
AAAI
Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai
2025 — conf
A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare.
KDD (2)
Ran Xu, Patrick Jiang, Linhao Luo, Cao Xiao, Adam Cross, Shirui Pan, Jimeng Sun, Carl Yang
2025 J jnl
A foundation model for human-AI collaboration in medical literature mining.
CoRR
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
2025 J jnl
A perspective for adapting generalist AI to specialized medical AI applications and their challenges.
npj Digit. Medicine
Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Luk Arbuckle, Devyani Biswal, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Cao Xiao, Jimeng Sun
2025 J jnl
Accelerating clinical evidence synthesis with large language models.
npj Digit. Medicine
Zifeng Wang, Lang Cao, Benjamin P. Danek, Qiao Jin, Zhiyong Lu, Jimeng Sun
2025 J jnl
Adaptation of Agentic AI.
CoRR
Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han
2025 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
Found. Trends Mach. Learn.
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, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, 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
2025 A* conf
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations.
AAAI
Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2025 J jnl
BioDSA-1K: Benchmarking Data Science Agents for Biomedical Research.
CoRR
Zifeng Wang, Benjamin P. Danek, Jimeng Sun
2025 J jnl
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making.
CoRR
Songtao Jiang, Yuan Wang, Ruizhe Chen, Yan Zhang, Ruilin Luo, Bohan Lei, Sibo Song, Yang Feng, Jimeng Sun, Jian Wu, Zuozhu Liu
2025 J jnl
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning.
CoRR
Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han
2025 J jnl
DentVLM: A Multimodal Vision-Language Model for Comprehensive Dental Diagnosis and Enhanced Clinical Practice.
CoRR
Zijie Meng, Jin Hao, Xiwei Dai, Yang Feng, Jiaxiang Liu, Bin Feng, Huikai Wu, Xiaotang Gai, Hengchuan Zhu, Tianxiang Hu, Yangyang Wu, Hongxia Xu, Jin Li, Jun Xiao, Xiaoqiang Liu, Joey Tianyi Zhou, Fudong Zhu, Zhihe Zhao, Lunguo Xia, Bing Fang, Jimeng Sun, Jian Wu, Zuozhu Liu
2025 J jnl
ExPath: Towards Explaining Targeted Pathways for Biological Knowledge Bases.
CoRR
Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai
2025 A* conf
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation.
ICLR
Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2025 J jnl
Generation of Drug-Induced Cardiac Reactions towards Virtual Clinical Trials.
CoRR
Qian Shao, Bang Du, Zepeng Li, Qiyuan Chen, Hongxia Xu, Jimeng Sun, Jian Wu, Jintai Chen
2025 J jnl
Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding.
CoRR
Songtao Jiang, Yuan Wang, Sibo Song, Tianxiang Hu, Chenyi Zhou, Bin Pu, Yan Zhang, Zhibo Yang, Yang Feng, Joey Tianyi Zhou, Jin Hao, Zijian Chen, Ruijia Wu, Tao Tang, Junhui Lv, Hongxia Xu, Hongwei Wang, Jun Xiao, Bin Feng, Fudong Zhu, Kenli Li, Weidi Xie, Jimeng Sun, Jian Wu, Zuozhu Liu
2025 J jnl
Improving medical machine learning models with generative balancing for equity and excellence.
npj Digit. Medicine
Brandon Theodorou, Benjamin P. Danek, Venkat Tummala, Shivam Pankaj Kumar, Bradley A. Malin, Jimeng Sun
2025 J jnl
InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation.
CoRR
Zifeng Wang, Junyi Gao, Benjamin P. Danek, Brandon Theodorou, Ruba Shaik, Shivashankar Thati, Seunghyun Won, Jimeng Sun
2025 J jnl
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction.
CoRR
Paul Landes, Jimeng Sun, Adam Cross
2025 A* conf
Long-Term EEG Partitioning for Seizure Onset Detection.
AAAI
Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2025 — conf
MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem.
KDD (2)
Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu
2025 J jnl
MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records.
Patterns
Brandon Theodorou, Cao Xiao, Lucas Glass, Jimeng Sun
2025 J jnl
MolTextQA: A Question-Answering Dataset and Benchmark for Evaluating Multimodal Architectures and LLMs on Molecular Structure-Text Understanding.
J. Data-centric Mach. Learn. Res.
Siddhartha Laghuvarapu, Namkyeong Lee, Chufan Gao, Jimeng Sun
2025 J jnl
OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding.
CoRR
Songtao Jiang, Yuan Wang, Sibo Song, Yan Zhang, Zijie Meng, Bohan Lei, Jian Wu, Jimeng Sun, Zuozhu Liu
2025 A* conf
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise.
EMNLP
Hanyin Wang, Chufan Gao, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Reddy Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, Jimeng Sun
2025 J jnl
Prostate-VarBench: A Benchmark with Interpretable TabNet Framework for Prostate Cancer Variant Classification.
CoRR
Abraham Francisco Arellano Tavara, Umesh Kumar, Jathurshan Pradeepkumar, Jimeng Sun
2025 J jnl
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation.
CoRR
Pengcheng Jiang, Lang Cao, Ruike Zhu, Minhao Jiang, Yunyi Zhang, Jimeng Sun, Jiawei Han
2025 J jnl
RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems.
CoRR
John Wu, Adam Cross, Jimeng Sun
2025 — conf
RHealth: A R Toolkit for Deep Learning in Healthcare.
BIBM
Ji Song, Zhixia Ren, Zhenbang Wu, John Wu, Chaoqi Yang, Yinghao Zhu, Wen Tang, Jimeng Sun, Ewen M. Harrison, Liantao Ma, Junyi Gao
2025 A* conf
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval.
ICLR
Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2025 J jnl
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding.
CoRR
Hanyin Wang, Zhenbang Wu, Gururaj Kolar, Hariprasad Korsapati, Brian Bartlett, Bryan Hull, Jimeng Sun
2025 J jnl
SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation.
Patterns
Brandon Theodorou, Anant Dadu, Mike A. Nalls, Faraz Faghri, Jimeng Sun
2025 — conf
SECRET: Semi-supervised Clinical Trial Document Similarity Search.
ACL (1)
Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun
2025 J jnl
SECRET: Semi-supervised Clinical Trial Document Similarity Search.
CoRR
Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun
2025 J jnl
Single-Channel EEG Tokenization Through Time-Frequency Modeling.
CoRR
Jathurshan Pradeepkumar, Xihao Piao, Zheng Chen, Jimeng Sun
2025 A* conf
Small Models are LLM Knowledge Triggers for Medical Tabular Prediction.
ICLR
Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu
2025 — conf
Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation.
ACL (Findings)
Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Reddy Korsapati, Chuck Outcalt, Jimeng Sun
2025 J jnl
Towards Physiologically Sensible Predictions via the Rule-based Reinforcement Learning Layer.
CoRR
Lingwei Zhu, Zheng Chen, Yukie Nagai, Jimeng Sun
2025 J jnl
Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning.
CoRR
Jiacheng Lin, Zhenbang Wu, Jimeng Sun
2025 J jnl
TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials.
CoRR
Zifeng Wang, Qiao Jin, Jiacheng Lin, Junyi Gao, Jathurshan Pradeepkumar, Pengcheng Jiang, Benjamin P. Danek, Zhiyong Lu, Jimeng Sun
2025 J jnl
Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding.
CoRR
Chufan Gao, Jintai Chen, Jimeng Sun
2025 A* conf
s3: You Don't Need That Much Data to Train a Search Agent via RL.
EMNLP
Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han
2025 J jnl
s3: You Don't Need That Much Data to Train a Search Agent via RL.
CoRR
Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han
2024 J jnl
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.
CoRR
Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Jimeng Sun
2024 J jnl
Accelerating Clinical Evidence Synthesis with Large Language Models.
CoRR
Zifeng Wang, Lang Cao, Benjamin P. Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun
2024 J jnl
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learning.
CoRR
Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Korsapati, Chuck Outcalt, Jimeng Sun
2024 J jnl
AnyECG: Foundational Models for Electrocardiogram Analysis.
CoRR
Yue Wang, Xu Cao, Yaojun Hu, Haochao Ying, James Matthew Rehg, Jimeng Sun, Jian Wu, Jintai Chen
2024 J jnl
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models.
CoRR
Lang Cao, Jimeng Sun, Adam Cross
2024 J jnl
Automatically Labeling $200B Life-Saving Datasets: A Large Clinical Trial Outcome Benchmark.
CoRR
Chufan Gao, Jathurshan Pradeepkumar, Trisha Das, Shivashankar Thati, Jimeng Sun
2024 A* conf
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning.
EMNLP
John Wu, David Wu, Jimeng Sun
2024 J jnl
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning.
CoRR
John Wu, David Wu, Jimeng Sun
2024 A* conf
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
NeurIPS
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
2024 J jnl
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models.
CoRR
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
2024 J jnl
Can Large Language Models Replace Data Scientists in Clinical Research?
CoRR
Zifeng Wang, Benjamin P. Danek, Ziwei Yang, Zheng Chen, Jimeng Sun
2024 A* conf
Can a Deep Learning Model be a
KDD
Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Z. Chen, Jian Wu, Jimeng Sun
2024 A* conf
Certifiably Byzantine-Robust Federated Conformal Prediction.
ICML
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
2024 J jnl
Certifiably Byzantine-Robust Federated Conformal Prediction.
CoRR
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
2024 A* conf
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation.
AAAI
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
2024 J jnl
Contactless Polysomnography: What Radio Waves Tell Us about Sleep.
CoRR
Hao He, Chao Li, Wolfgang Ganglberger, Kaileigh Gallagher, Rumen Hristov, Michail Ouroutzoglou, Haoqi Sun, Jimeng Sun, M. Brandon Westover, Dina Katabi
2024 A* conf
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation.
EMNLP
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2024 J jnl
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation.
CoRR
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2024 J jnl
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data.
CoRR
Jintai Chen, Zhen Lin, Qiyuan Chen, Jimeng Sun
2024 — conf
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction.
ML4H@NeurIPS
John Wu, David Wu, Jimeng Sun
2024 J jnl
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction.
CoRR
John Wu, David Wu, Jimeng Sun
2024 J jnl
DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients.
npj Digit. Medicine
Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
2024 J jnl
Demystifying Large Language Models for Medicine: A Primer.
CoRR
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
2024 J jnl
FRAMM: Fair ranking with missing modalities for clinical trial site selection.
Patterns
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
2024 J jnl
Federated learning for multi-omics: A performance evaluation in Parkinson's disease.
Patterns
Benjamin P. Danek, Mary B. Makarious, Anant Dadu, Dan Vitale, Paul Suhwan Lee, Andrew B. Singleton, Mike A. Nalls, Jimeng Sun, Faraz Faghri
2024 J jnl
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation.
CoRR
Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2024 — conf
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.
NAACL-HLT
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
2024 J jnl
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models.
CoRR
Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han
2024 J jnl
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.
Trans. Mach. Learn. Res.
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2024 A* conf
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs.
ICLR
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
2024 A* conf
Instruction Tuning Large Language Models to Understand Electronic Health Records.
NeurIPS
Zhenbang Wu, Anant Dadu, Mike A. Nalls, Faraz Faghri, Jimeng Sun
2024 A* conf
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge.
NeurIPS
Pengcheng Jiang, Lang Cao, Cao (Danica) Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 J jnl
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge.
CoRR
Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 J jnl
Language Interaction Network for Clinical Trial Approval Estimation.
CoRR
Chufan Gao, Tianfan Fu, Jimeng Sun
2024 A* conf
Making Pre-trained Language Models Great on Tabular Prediction.
ICLR
Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen
2024 J jnl
Making Pre-trained Language Models Great on Tabular Prediction.
CoRR
Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen
2024 A* conf
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement.
IJCAI
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
2024 J jnl
Medical Video Generation for Disease Progression Simulation.
CoRR
Xu Cao, Kaizhao Liang, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Jintai Chen, Zhiguang Ding, Jianguo Cao, James M. Rehg, Jimeng Sun
2024 — conf
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
ACL (1)
Yilin Wen, Zifeng Wang, Jimeng Sun
2024 A* conf
Multimodal Patient Representation Learning with Missing Modalities and Labels.
ICLR
Zhenbang Wu, Anant Dadu, Nicholas J. Tustison, Brian B. Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri
2024 — conf
PILOT: Legal Case Outcome Prediction with Case Law.
NAACL-HLT
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
2024 J jnl
PILOT: Legal Case Outcome Prediction with Case Law.
CoRR
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
2024 J jnl
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment.
CoRR
Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun
2024 J jnl
Process-Supervised Reward Models for Clinical Note Generation: A Scalable Approach Guided by Domain Expertise.
CoRR
Hanyin Wang, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, Jimeng Sun
2024 J jnl
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval.
CoRR
Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2024 A* conf
Recent Advances in Predictive Modeling with Electronic Health Records.
IJCAI
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024 J jnl
Recent Advances in Predictive Modeling with Electronic Health Records.
CoRR
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024 J jnl
SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction.
CoRR
Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu
2024 J jnl
SODor: Long-Term EEG Partitioning for Seizure Onset Detection.
CoRR
Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2024 J jnl
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning.
CoRR
Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason G. Mezey, Jimeng Sun
2024 J jnl
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM.
CoRR
Trisha Das, Dina Albassam, Jimeng Sun
2024 — conf
TTM-RE: Memory-Augmented Document-Level Relation Extraction.
ACL (1)
Chufan Gao, Xuan Wang, Jimeng Sun
2024 J jnl
TTM-RE: Memory-Augmented Document-Level Relation Extraction.
CoRR
Chufan Gao, Xuan Wang, Jimeng Sun
2024 — conf
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
NAACL-HLT
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 J jnl
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
CoRR
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 J jnl
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.
CoRR
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
2024 J jnl
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data.
CoRR
Chufan Gao, Mandis Beigi, Afrah Shafquat, Jacob Aptekar, Jimeng Sun
2024 J jnl
Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data.
CoRR
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
2024 A conf
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models.
CIKM
Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
2024 J jnl
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models.
CoRR
Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
2023 A* conf
An Iterative Self-Learning Framework for Medical Domain Generalization.
NeurIPS
Zhenbang Wu, Huaxiu Yao, David M. Liebovitz, Jimeng Sun
2023 J jnl
AnyPredict: Foundation Model for Tabular Prediction.
CoRR
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
2023 J jnl
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR
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
2023 A* conf
AutoTrial: Prompting Language Models for Clinical Trial Design.
EMNLP
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
AutoTrial: Prompting Language Models for Clinical Trial Design.
CoRR
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 A* conf
BIOT: Biosignal Transformer for Cross-data Learning in the Wild.
NeurIPS
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 J jnl
BIOT: Cross-data Biosignal Learning in the Wild.
CoRR
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 J jnl
CITING: Large Language Models Create Curriculum for Instruction Tuning.
CoRR
Tao Feng, Zifeng Wang, Jimeng Sun
2023 A* conf
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift.
NeurIPS
Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
2023 J jnl
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation.
CoRR
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
2023 J jnl
Conformal Drug Property Prediction with Density Estimation under Covariate Shift.
CoRR
Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
2023 J jnl
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients.
CoRR
Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
2023 — conf
DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups.
EMNLP (Demos)
Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang
2023 J jnl
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection.
CoRR
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
2023 A* conf
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control.
ICML
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
2023 J jnl
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control.
CoRR
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
2023 J jnl
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.
CoRR
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2023 J jnl
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs.
CoRR
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
2023 A* conf
ManyDG: Many-domain Generalization for Healthcare Applications.
ICLR
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 J jnl
ManyDG: Many-domain Generalization for Healthcare Applications.
CoRR
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
2023 J jnl
Matching Patients to Clinical Trials with Large Language Models.
CoRR
Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu
2023 A* conf
MedLink: De-Identified Patient Health Record Linkage.
KDD
Zhenbang Wu, Cao Xiao, Jimeng Sun
2023 J jnl
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models.
CoRR
Yilin Wen, Zifeng Wang, Jimeng Sun
2023 J jnl
Molecular De Novo Design through Transformer-based Reinforcement Learning.
CoRR
Tao Feng, Pengcheng Xu, Tianfan Fu, Siddhartha Laghuvarapu, Jimeng Sun
2023 J jnl
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus.
J. Am. Medical Informatics Assoc.
Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun
2023 J jnl
PIE: Simulating Disease Progression via Progressive Image Editing.
CoRR
Kaizhao Liang, Xu Cao, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Zhengyu Chen, Jianguo Cao, Tejas Nama, Jimeng Sun
2023 J jnl
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming.
CoRR
Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang
2023 A* conf
PyHealth: A Deep Learning Toolkit for Healthcare Applications.
KDD
Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun
2023 J jnl
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.
CoRR
Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun
2023 — conf
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
BCB
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
CoRR
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
Scientific discovery in the age of artificial intelligence.
Nat.
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 K. 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
2023 J jnl
Stoichiometry Representation Learning with Polymorphic Crystal Structures.
CoRR
Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park
2023 J jnl
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model.
CoRR
Brandon Theodorou, Cao Xiao, Jimeng Sun
2023 J jnl
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network.
CoRR
Brandon Theodorou, Cao Xiao, Jimeng Sun
2023 — conf
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network.
BCB
Brandon Philip Theodorou, Cao Xiao, Jimeng Sun
2023 A* conf
TWIN: Personalized Clinical Trial Digital Twin Generation.
KDD
Trisha Das, Zifeng Wang, Jimeng Sun
2023 A* conf
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks.
ICLR
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2023 — conf
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models.
ACL (Findings)
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
2023 J jnl
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models.
CoRR
Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han
2023 J jnl
UniPredict: Large Language Models are Universal Tabular Predictors.
CoRR
Ruiyu Wang, Zifeng Wang, Jimeng Sun
2022 A* conf
ATD: Augmenting CP Tensor Decomposition by Self Supervision.
NeurIPS
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
2022 A* conf
Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model.
KDD
Tianfan Fu, Jimeng Sun
2022 J jnl
Artificial Intelligence for In Silico Clinical Trials: A Review.
CoRR
Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun
2022 — conf
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment.
ECML/PKDD (2)
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
2022 J jnl
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment.
CoRR
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
2022 J jnl
CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
IEEE Trans. Knowl. Data Eng.
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2022 J jnl
Clinical trial site matching with improved diversity using fair policy learning.
CoRR
Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun
2022 J jnl
Conformal Prediction Intervals with Temporal Dependence.
CoRR
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2022 J jnl
Conformal Prediction Intervals with Temporal Dependence.
Trans. Mach. Learn. Res.
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2022 A* conf
Conformal Prediction with Temporal Quantile Adjustments.
NeurIPS
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2022 J jnl
Conformal Prediction with Temporal Quantile Adjustments.
CoRR
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2022 A* conf
Differentiable Scaffolding Tree for Molecule Optimization.
ICLR
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
2022 — conf
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision.
MLHC
Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun
2022 A* conf
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion.
IJCAI
Chaoqi Yang, Cheng Qian, Jimeng Sun
2022 J jnl
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion.
CoRR
Chaoqi Yang, Cheng Qian, Jimeng Sun
2022 J jnl
HINT: Hierarchical interaction network for clinical-trial-outcome predictions.
Patterns
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 J jnl
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion.
CoRR
Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun
2022 J jnl
Knowledge-Driven New Drug Recommendation.
CoRR
Zhenbang Wu, Huaxiu Yao, Zhe Su, David M. Liebovitz, Lucas M. Glass, James Zou, Chelsea Finn, Jimeng Sun
2022 J jnl
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization.
IEEE Trans. Knowl. Data Eng.
Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 A* conf
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.
EMNLP
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun
2022 J jnl
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.
CoRR
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun
2022 J jnl
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design.
CoRR
Yuanqi Du, Tianfan Fu, Jimeng Sun, Shengchao Liu
2022 A* conf
PAC-Bayes Information Bottleneck.
ICLR
Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2022 J jnl
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
2022 A* conf
PopNet: Real-Time Population-Level Disease Prediction with Data Latency.
WWW
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 J jnl
PopNet: Real-Time Population-Level Disease Prediction with Data Latency.
CoRR
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 A* conf
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.
EMNLP
Zifeng Wang, Jimeng Sun
2022 J jnl
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning.
CoRR
Zifeng Wang, Jimeng Sun
2022 A* conf
Reinforced Genetic Algorithm for Structure-based Drug Design.
NeurIPS
Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun
2022 J jnl
Reinforced Genetic Algorithm for Structure-based Drug Design.
CoRR
Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun
2022 A* conf
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models.
AAAI
Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun
2022 A* conf
SIPF: Sampling Method for Inverse Protein Folding.
KDD
Tianfan Fu, Jimeng Sun
2022 A* conf
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization.
NeurIPS
Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley
2022 J jnl
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization.
CoRR
Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley
2022 — conf
SurvTRACE: transformers for survival analysis with competing events.
BCB
Zifeng Wang, Jimeng Sun
2022 J jnl
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks.
CoRR
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2022 A* conf
TransTab: Learning Transferable Tabular Transformers Across Tables.
NeurIPS
Zifeng Wang, Jimeng Sun
2022 J jnl
TransTab: Learning Transferable Tabular Transformers Across Tables.
CoRR
Zifeng Wang, Jimeng Sun
2022 — conf
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.
EMNLP (Findings)
Zifeng Wang, Jimeng Sun
2022 J jnl
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision.
CoRR
Zifeng Wang, Jimeng Sun
2022 J jnl
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It.
CoRR
Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar F. Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover
2021 A* conf
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.
WWW
Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun
2021 A* conf
Advances in Mining Heterogeneous Healthcare Data.
KDD
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
2021 J jnl
Augmented Tensor Decomposition with Stochastic Optimization.
CoRR
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
2021 — conf
CUP: Cluster Pruning for Compressing Deep Neural Networks.
IEEE BigData
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
2021 A* conf
Change Matters: Medication Change Prediction with Recurrent Residual Networks.
IJCAI
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
2021 J jnl
Change Matters: Medication Change Prediction with Recurrent Residual Networks.
CoRR
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
2021 J jnl
Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow.
Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
2021 J jnl
DeepPurpose: a deep learning library for drug-target interaction prediction.
Bioinform.
Kexin Huang, Tianfan Fu, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
2021 J jnl
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow.
Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun
2021 J jnl
Differentiable Scaffolding Tree for Molecular Optimization.
CoRR
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
2021 — conf
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
MLHC
Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun
2021 J jnl
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
J. Am. Medical Informatics Assoc.
Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
2021 — conf
Fusion: Towards Automated ICD Coding via Feature Compression.
ACL/IJCNLP (Findings)
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
2021 — conf
HAR: Hardness Aware Reweighting for Imbalanced Datasets.
IEEE BigData
Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
2021 J jnl
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.
CoRR
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2021 — book
Introduction to Deep Learning for Healthcare
Cao Xiao, Jimeng Sun
2021 J jnl
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models.
CoRR
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2021 A* conf
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models.
NeurIPS
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
2021 A* conf
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.
AAAI
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
2021 A* conf
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
KDD
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
2021 J jnl
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
CoRR
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
2021 J jnl
Machine Learning Applications for Therapeutic Tasks with Genomics Data.
CoRR
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
2021 J jnl
Machine learning applications for therapeutic tasks with genomics data.
Patterns
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
2021 J jnl
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction.
Bioinform.
Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2021 A* conf
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
IJCAI
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
2021 J jnl
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
CoRR
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
2021 J jnl
PAC-Bayes Information Bottleneck.
CoRR
Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2021 A* conf
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.
KDD
Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun
2021 J jnl
PyHealth: A Python Library for Health Predictive Models.
CoRR
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun
2021 J jnl
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models.
CoRR
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
2021 — conf
SPEAR: self-supervised post-training enhancer for molecule optimization.
BCB
Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun
2021 J jnl
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
J. Am. Medical Informatics Assoc.
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2021 A* conf
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
AAAI
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
2021 — conf
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.
MLSys
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
2021 A* conf
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors.
AAAI
Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
2021 A* conf
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.
IJCAI
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
2021 J jnl
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.
CoRR
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
2021 J jnl
Self-supervised EEG Representation Learning for Automatic Sleep Staging.
CoRR
Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun
2021 J jnl
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
Bioinform.
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
2021 J jnl
SurvTRACE: Transformers for Survival Analysis with Competing Events.
CoRR
Zifeng Wang, Jimeng Sun
2021 J jnl
SynTEG: a framework for temporal structured electronic health data simulation.
J. Am. Medical Informatics Assoc.
Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin
2021 — conf
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.
NeurIPS Datasets and Benchmarks
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2021 J jnl
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.
CoRR
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2021 A* conf
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
WWW
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
2020 A* conf
CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
AAAI
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun
2020 J jnl
CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
CoRR
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2020 J jnl
CLARA: Clinical Report Auto-completion.
CoRR
Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun
2020 A* conf
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching.
KDD
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching.
CoRR
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 A* conf
CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
AAAI
Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao
2020 A* conf
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.
AAAI
Tianfan Fu, Cao Xiao, Jimeng Sun
2020 J jnl
CarePre: An Intelligent Clinical Decision Assistance System.
ACM Trans. Comput. Heal.
Zhuochen Jin, Shuyuan Cui, Shunan Guo, David Gotz, Jimeng Sun, Nan Cao
2020 A* conf
Clinical Report Auto-completion.
WWW
Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
2020 J jnl
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction.
CoRR
Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.
CoRR
Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun
2020 J jnl
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data.
CoRR
Yanbo Xu, Cao Xiao, Jimeng Sun
2020 A* conf
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
AAAI
Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
2020 J jnl
Dr. Agent: Clinical predictive model via mimicked second opinions.
J. Am. Medical Informatics Assoc.
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
ELF: An Early-Exiting Framework for Long-Tailed Classification.
CoRR
Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
2020 J jnl
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision.
CoRR
Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun
2020 J jnl
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
CoRR
Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Jimeng Sun
2020 J jnl
Ensuring electronic medical record simulation through better training, modeling, and evaluation.
J. Am. Medical Informatics Assoc.
Ziqi Zhang, Chao Yan, Diego A. Mesa, Jimeng Sun, Bradley A. Malin
2020 J jnl
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection.
CoRR
Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
2020 J jnl
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.
CoRR
Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun
2020 A* conf
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units.
KDD
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020 J jnl
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units.
CoRR
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
2020 A* conf
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.
KDD
Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun
2020 J jnl
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.
CoRR
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
2020 J jnl
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.
CoRR
Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
2020 J jnl
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction.
CoRR
Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun
2020 J jnl
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review.
CoRR
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2020 J jnl
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.
Comput. Biol. Medicine
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2020 A* conf
Patient-Trial Matching with Deep Embedding and Entailment Prediction.
WWW
Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun
2020 J jnl
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning.
CoRR
Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun
2020 A* conf
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
WWW
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2020 J jnl
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
CoRR
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2020 A* conf
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates.
ICML
Lingkai Kong, Jimeng Sun, Chao Zhang
2020 J jnl
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates.
CoRR
Lingkai Kong, Jimeng Sun, Chao Zhang
2020 J jnl
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence.
CoRR
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2020 A* conf
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
KDD
Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
2020 J jnl
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
CoRR
Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
2020 J jnl
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
CoRR
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
SUOD: A Scalable Unsupervised Outlier Detection Framework.
CoRR
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
2020 J jnl
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors.
CoRR
Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun
2020 J jnl
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks.
CoRR
Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun
2020 A* conf
StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
WWW
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
2020 J jnl
StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
CoRR
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
2020 J jnl
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization.
CoRR
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
2020 — conf
TASTE: temporal and static tensor factorization for phenotyping electronic health records.
CHIL
Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun
2020 J jnl
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
CoRR
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
2020 J jnl
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work.
J. Biomed. Informatics
Ioakeim Perros, Xiaowei Yan, James B. Jones, Jimeng Sun, Walter F. Stewart
2020 A* conf
ViVA: Semi-supervised Visualization via Variational Autoencoders.
ICDM
Sungtae An, Shenda Hong, Jimeng Sun
2020 — conf
α-MOP: Molecule optimization with α-divergence.
BIBM
Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun
2019 J jnl
CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
CoRR
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun
2019 J jnl
CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
CoRR
Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao
2019 J jnl
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.
CoRR
Tianfan Fu, Cao Xiao, Jimeng Sun
2019 A conf
CP Tensor Decomposition with Cannot-Link Intermode Constraints.
SDM
Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho
2019 J jnl
CUP: Cluster Pruning for Compressing Deep Neural Networks.
CoRR
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun
2019 — conf
Clinical Concept Extraction for Document-Level Coding.
BioNLP@ACL
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein
2019 J jnl
Clinical Concept Extraction for Document-Level Coding.
CoRR
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein
2019 A* conf
DDL: Deep Dictionary Learning for Predictive Phenotyping.
IJCAI
Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun
2019 J jnl
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
CoRR
Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
2019 — conf
EEGtoText: Learning to Write Medical Reports from EEG Recordings.
MLHC
Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 A conf
Efficient and effective sparse tensor reordering.
ICS
Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc
2019 A* conf
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
AAAI
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.
CoRR
Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun
2019 A conf
Guaranteed Scalable Learning of Latent Tree Models.
UAI
Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar
2019 A* conf
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs.
AAAI
Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun
2019 A* conf
Longitudinal Adversarial Attack on Electronic Health Records Data.
WWW
Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun
2019 A* conf
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
IJCAI
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
CoRR
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
Optimizing sparse tensor times matrix on GPUs.
J. Parallel Distributed Comput.
Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc
2019 — conf
PEARL: Prototype Learning via Rule Learning.
BCB
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
2019 — conf
PEARL: Prototype Learning via Rule Learning.
BCB
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
2019 A* conf
Pre-training of Graph Augmented Transformers for Medication Recommendation.
IJCAI
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2019 J jnl
Pre-training of Graph Augmented Transformers for Medication Recommendation.
CoRR
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2019 J jnl
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model.
CoRR
Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
2019 A* conf
RDPD: Rich Data Helps Poor Data via Imitation.
IJCAI
Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks.
CoRR
Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
2019 J jnl
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
IEEE Trans. Vis. Comput. Graph.
Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo
2019 — conf
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
MLHC
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 J jnl
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
CoRR
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 J jnl
Smile: A System to Support Machine Learning on EEG Data at Scale.
Proc. VLDB Endow.
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
2019 J jnl
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records.
CoRR
Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun
2019 J jnl
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization.
J. Biomed. Informatics
Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun
2019 A* conf
Tutorial: Data Mining Methods for Drug Discovery and Development.
KDD
Cao Xiao, Jimeng Sun
2018 J jnl
AWE: Asymmetric Word Embedding for Textual Entailment.
CoRR
Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun
2018 A conf
COPA: Constrained PARAFAC2 for Sparse & Large Datasets.
CIKM
Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun
2018 J jnl
COPA: Constrained PARAFAC2 for Sparse & Large Datasets.
CoRR
Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun
2018 J jnl
CarePre: An Intelligent Clinical Decision Assistance System.
CoRR
Zhuochen Jin, Jingshun Yang, Shuyuan Cui, David Gotz, Jimeng Sun, Nan Cao
2018 J jnl
Expert-level sleep scoring with deep neural networks.
J. Am. Medical Informatics Assoc.
Siddharth Biswal, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Jimeng Sun, Matt T. Bianchi
2018 — conf
Explainable Prediction of Medical Codes from Clinical Text.
NAACL-HLT
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein
2018 J jnl
Explainable Prediction of Medical Codes from Clinical Text.
CoRR
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein
2018 J jnl
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
CoRR
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018 J jnl
HAMLET: Interpretable Human And Machine co-LEarning Technique.
CoRR
Olivier Deiss, Siddharth Biswal, Jing Jin, Haoqi Sun, M. Brandon Westover, Jimeng Sun
2018 A conf
HiCOO: hierarchical storage of sparse tensors.
SC
Jiajia Li, Jimeng Sun, Richard W. Vuduc
2018 A* conf
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.
NeurIPS
Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun
2018 J jnl
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.
CoRR
Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun
2018 J jnl
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.
J. Am. Medical Informatics Assoc.
Cao Xiao, Edward Choi, Jimeng Sun
2018 A* conf
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data.
KDD
Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun
2018 J jnl
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data.
CoRR
Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun
2018 J jnl
RDPD: Rich Data Helps Poor Data via Imitation.
CoRR
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018 J jnl
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
CoRR
Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo
2018 A* conf
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.
KDD
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
2018 J jnl
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.
CoRR
Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun
2017 J jnl
Causal Regularization.
CoRR
Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun
2017 Misc conf
Computational Phenotyping on Diverse Data Sources.
AMIA
Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh
2017 A* conf
Federated Tensor Factorization for Computational Phenotyping.
KDD
Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
2017 J jnl
Federated Tensor Factorization for Computational Phenotyping.
CoRR
Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang
2017 A* conf
GRAM: Graph-based Attention Model for Healthcare Representation Learning.
KDD
Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun
2017 J jnl
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
CoRR
Edward Choi, Siddharth Biswal, Bradley A. Malin, Jon Duke, Walter F. Stewart, Jimeng Sun
2017 — conf
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks.
MLHC
Edward Choi, Siddharth Biswal, Bradley A. Malin, Jon Duke, Walter F. Stewart, Jimeng Sun
2017 — conf
Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping.
ICHI
Jette Henderson, Joyce C. Ho, Abel N. Kho, Joshua C. Denny, Bradley A. Malin, Jimeng Sun, Joydeep Ghosh
2017 A* conf
LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity.
KDD
Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun
2017 A conf
Model-Driven Sparse CP Decomposition for Higher-Order Tensors.
IPDPS
Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
2017 A conf
Polyadic Regression and its Application to Chemogenomics.
SDM
Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun
2017 Misc conf
Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records.
AMIA
Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun
2017 A ed.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017
CIKM
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
2017 J jnl
SLEEPNET: Automated Sleep Staging System via Deep Learning.
CoRR
Siddharth Biswal, Joshua Kulas, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Matt T. Bianchi, Jimeng Sun
2017 A* conf
SPARTan: Scalable PARAFAC2 for Large & Sparse Data.
KDD
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
2017 J jnl
SPARTan: Scalable PARAFAC2 for Large & Sparse Data.
CoRR
Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun
2017 — conf
Smart Jump: Automated Navigation Suggestion for Videos in MOOCs.
WWW (Companion Volume)
Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun
2017 A* conf
StructInf: Mining Structural Influence from Social Streams.
AAAI
Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun
2017 Misc conf
Use of Clinical Phenotypes and Non-negative Tensor Factorization for Heart Failure Prediction.
AMIA
Yu Deng, Al'ona Furmanchuk, Robert Chen, Faraz S. Ahmad, Jimeng Sun, Abel N. Kho
2017 J jnl
Using recurrent neural network models for early detection of heart failure onset.
J. Am. Medical Informatics Assoc.
Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun
2016 A conf
#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information.
ICWSM
Zhijun Yin, You Chen, Daniel Fabbri, Jimeng Sun, Bradley A. Malin
2016 — conf
Advanced Machine Learning for Healthcare.
CRI
Jimeng Sun, Jim Rehg, Suchi Saria, Hua Xu, Eric P. Xing
2016 J jnl
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.
Artif. Intell. Medicine
Rachel L. Richesson, Jimeng Sun, Jyotishman Pathak, Abel N. Kho, Joshua C. Denny
2016 Misc conf
Computational Phenotyping Methods.
AMIA
Yuan Luo, Jimeng Sun, Xiaoqian Jiang, Fei Wang
2016 J jnl
Constraint based temporal event sequence mining for Glioblastoma survival prediction.
J. Biomed. Informatics
Kunal Malhotra, Shamkant B. Navathe, Duen Horng Chau, Costas Hadjipanayis, Jimeng Sun
2016 — conf
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
MLHC
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun
2016 A* conf
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines.
KDD
Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun
2016 J jnl
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines.
CoRR
Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun
2016 J jnl
GRAM: Graph-based Attention Model for Healthcare Representation Learning.
CoRR
Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun
2016 J jnl
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction.
CoRR
Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun
2016 A* conf
Multi-layer Representation Learning for Medical Concepts.
KDD
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun
2016 J jnl
Multi-layer Representation Learning for Medical Concepts.
CoRR
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun
2016 — conf
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism.
NIPS
Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, Walter F. Stewart
2016 J jnl
RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism.
CoRR
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun
2016 J jnl
Sparse Hierarchical Tucker Factorization and its Application to Healthcare.
CoRR
Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
2016 A conf
The Troll-Trust Model for Ranking in Signed Networks.
WSDM
Zhaoming Wu, Charu C. Aggarwal, Jimeng Sun
2015 A conf
An input-adaptive and in-place approach to dense tensor-times-matrix multiply.
SC
Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc
2015 J jnl
Building bridges across electronic health record systems through inferred phenotypic topics.
J. Biomed. Informatics
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
2015 Misc conf
Clinical Predictive Modeling Development and Deployment through FHIR Web Services.
AMIA
Mohammed Khalilia, Myung Choi, Amelia Henderson, Sneha Iyengar, Mark L. Braunstein, Jimeng Sun
2015 Misc conf
Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction.
AMIA
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
2015 A* conf
Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process.
ICDM
Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun
2015 J jnl
Data and Analytics Challenges for a Learning Healthcare System.
ACM J. Data Inf. Qual.
Rahul C. Basole, Mark L. Braunstein, Jimeng Sun
2015 J jnl
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
CoRR
Edward Choi, Mohammad Taha Bahadori, Jimeng Sun
2015 A* conf
Incorporating Social Context and Domain Knowledge for Entity Recognition.
WWW
Jie Tang, Zhanpeng Fang, Jimeng Sun
2015 Misc conf
Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health.
AMIA
Jina J. Dcruz, Kelly Ryder, Edward Choi, Sizhe Lin, Aashu B. Singh, Hang Su, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun
2015 J jnl
PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision.
IEEE J. Biomed. Health Informatics
Fei Wang, Jimeng Sun
2015 A* conf
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics.
KDD
Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun
2015 A* conf
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare.
ICDM
Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun
2015 J jnl
Survey on distance metric learning and dimensionality reduction in data mining.
Data Min. Knowl. Discov.
Fei Wang, Jimeng Sun
2015 Misc conf
System Architecture of CDC I-SMILE Recommendation Engine.
AMIA
Edward Choi, Jina J. Dcruz, Sizhe Lin, Aashu B. Singh, Hang Su, Kelly Ryder, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun
2015 — conf
Time-Sensitive Recommendation From Recurrent User Activities.
NIPS
Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song
2015 J jnl
Trends in biomedical informatics: automated topic analysis of JAMIA articles.
J. Am. Medical Informatics Assoc.
Dong Han, Shuang Wang, Chao Jiang, Xiaoqian Jiang, Hyeon-Eui Kim, Jimeng Sun, Lucila Ohno-Machado
2014 J jnl
Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.
Int. J. Medical Informatics
Roy J. Byrd, Steven R. Steinhubl, Jimeng Sun, Shahram Ebadollahi, Walter F. Stewart
2014 — ch.
Clinical Utility of Machine Learning and Longitudinal EHR Data.
Machine Learning in Healthcare Informatics
Walter F. Stewart, Jason Roy, Jimeng Sun, Shahram Ebadollahi
2014 — conf
Computational models for social influence analysis: [extended abstract].
WWW (Companion Volume)
Jie Tang, Jimeng Sun
2014 — conf
Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization.
Brain Informatics and Health
Joyce C. Ho, Joydeep Ghosh, Jimeng Sun
2014 J jnl
Informatics methods in medical privacy.
J. Biomed. Informatics
Aris Gkoulalas-Divanis, Grigorios Loukides, Li Xiong, Jimeng Sun
2014 J jnl
Limestone: High-throughput candidate phenotype generation via tensor factorization.
J. Biomed. Informatics
Joyce C. Ho, Joydeep Ghosh, Steven R. Steinhubl, Walter F. Stewart, Joshua C. Denny, Bradley A. Malin, Jimeng Sun
2014 A* conf
Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization.
KDD
Joyce C. Ho, Joydeep Ghosh, Jimeng Sun
2014 J jnl
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.
J. Biomed. Informatics
Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun
2014 J jnl
Predicting changes in hypertension control using electronic health records from a chronic disease management program.
J. Am. Medical Informatics Assoc.
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
2014 J jnl
Publishing data from electronic health records while preserving privacy: A survey of algorithms.
J. Biomed. Informatics
Aris Gkoulalas-Divanis, Grigorios Loukides, Jimeng Sun
2014 J jnl
Toward smarter healthcare: Anonymizing medical data to support research studies.
IBM J. Res. Dev.
Aris Gkoulalas-Divanis, Grigorios Loukides, Jimeng Sun
2013 J jnl
A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi, Andrew F. Laine
2013 — conf
Big Data Analytics in Biomedicine and Health: Trends and Challenges.
MedInfo
Niels Peek, John H. Holmes, Fernando Martín-Sánchez, Jimeng Sun
2013 A* conf
Big data analytics for healthcare.
KDD
Jimeng Sun, Chandan K. Reddy
2013 Misc conf
Biomedical and Healthcare Analytics on Big Data.
AMIA
Niels Peek, Jimeng Sun, John H. Holmes, Fernando Martín-Sánchez, Riccardo Bellazzi
2013 A* conf
Confluence: conformity influence in large social networks.
KDD
Jie Tang, Sen Wu, Jimeng Sun
2013 — ch.
Dimensionality Reduction and Filtering on Time Series Sensor Streams.
Managing and Mining Sensor Data
Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu
2013 A* conf
FeaFiner: biomarker identification from medical data through feature generalization and selection.
KDD
Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye
2013 A conf
Models and algorithms for social influence analysis.
WSDM
Jimeng Sun, Jie Tang
2013 A conf
Patent partner recommendation in enterprise social networks.
WSDM
Sen Wu, Jimeng Sun, Jie Tang
2013 A conf
Patient Risk Prediction Model via Top-k Stability Selection.
SDM
Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou
2012 Misc conf
A Healthcare Utilization Analysis Framework for Hot Spotting and Contextual Anomaly Detection.
AMIA
Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi
2012 J jnl
Case-based reasoning in comparative effectiveness research.
IBM J. Res. Dev.
Marianthi Markatou, Prabani Kuruppumullage Don, Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi
2012 Misc conf
Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records.
AMIA
Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart
2012 J jnl
Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment.
Stat. Anal. Data Min.
Fei Wang, Jimeng Sun, Shahram Ebadollahi
2012 A* conf
Cross-domain collaboration recommendation.
KDD
Jie Tang, Sen Wu, Jimeng Sun, Hang Su
2012 A conf
Fast Random Walk Graph Kernel.
SDM
U Kang, Hanghang Tong, Jimeng Sun
2012 Misc conf
ICDA: A Platform for Intelligent Care Delivery Analytics.
AMIA
David Gotz, Harry Stavropoulos, Jimeng Sun, Fei Wang
2012 A* conf
Latent association analysis of document pairs.
KDD
Gengxin Miao, Ziyu Guan, Louise E. Moser, Xifeng Yan, Shu Tao, Nikos Anerousis, Jimeng Sun
2012 J jnl
Leveraging medical thesauri and physician feedback for improving medical literature retrieval for case queries.
J. Am. Medical Informatics Assoc.
Parikshit Sondhi, Jimeng Sun, ChengXiang Zhai, Robert Sorrentino, Martin S. Kohn
2012 Misc conf
MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression.
AMIA
Adam Perer, Jimeng Sun
2012 B conf
Medical prognosis based on patient similarity and expert feedback.
ICPR
Fei Wang, Jianying Hu, Jimeng Sun
2012 J jnl
Multifaceted visual analytics for healthcare applications.
IBM J. Res. Dev.
David Gotz, Jimeng Sun, Nan Cao
2012 J jnl
Quantitative Study of Individual Emotional States in Social Networks.
IEEE Trans. Affect. Comput.
Jie Tang, Yuan Zhang, Jimeng Sun, Jinghai Rao, Wenjing Yu, Yiran Chen, Alvis Cheuk M. Fong
2012 J jnl
Real-time analysis for short-term prognosis in intensive care.
IBM J. Res. Dev.
Daby M. Sow, Jimeng Sun, Alain Biem, Jianying Hu, Marion Blount, Shahram Ebadollahi
2012 A conf
SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications.
SDM
Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi
2012 J jnl
Supervised patient similarity measure of heterogeneous patient records.
SIGKDD Explor.
Jimeng Sun, Fei Wang, Jianying Hu, Shahram Ebadollahi
2012 A* conf
SympGraph: a framework for mining clinical notes through symptom relation graphs.
KDD
Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai
2012 A* conf
Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach.
KDD
Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi
2012 J jnl
gbase: an efficient analysis platform for large graphs.
VLDB J.
U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos
2011 — ch.
A Survey of Models and Algorithms for Social Influence Analysis.
Social Network Data Analytics
Jimeng Sun, Jie Tang
2011 A* conf
Automatic Group Sparse Coding.
AAAI
Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi
2011 A conf
Centralities in Large Networks: Algorithms and Observations.
SDM
U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong
2011 J jnl
Community Discovery via Metagraph Factorization.
ACM Trans. Knowl. Discov. Data
Yu-Ru Lin, Jimeng Sun, Hari Sundaram, Aisling Kelliher, Paul C. Castro, Ravi B. Konuru
2011 J jnl
DICON: Interactive Visual Analysis of Multidimensional Clusters.
IEEE Trans. Vis. Comput. Graph.
Nan Cao, David Gotz, Jimeng Sun, Huamin Qu
2011 B conf
Dynamic Social Influence Analysis through Time-Dependent Factor Graphs.
ASONAM
Chi Wang, Jie Tang, Jimeng Sun, Jiawei Han
2011 A* conf
GBASE: a scalable and general graph management system.
KDD
U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos
2011 J jnl
IEEE VisWeek Workshop on Visual Analytics in Health Care 2010.
SIGHIT Rec.
David Gotz, Jimeng Sun
2011 J jnl
Information technology for healthcare transformation.
IBM J. Res. Dev.
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
2011 A conf
Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment.
SDM
Fei Wang, Jimeng Sun, Shahram Ebadollahi
2011 J jnl
Introduction to Special Issue on Large-Scale Data Mining.
ACM Trans. Knowl. Discov. Data
Jimeng Sun, Yan Liu, Jie Tang, Chid Apté
2011 — conf
Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients.
HISB
Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi
2011 A* conf
SolarMap: Multifaceted Visual Analytics for Topic Exploration.
ICDM
Nan Cao, David Gotz, Jimeng Sun, Yu-Ru Lin, Huamin Qu
2011 A conf
iMet: Interactive Metric Learning in Healthcare Applications.
SDM
Fei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi
2010 A* conf
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support.
ICDM
Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi
2010 — ch.
Community Evolution and Change Point Detection in Time-Evolving Graphs.
Link Mining
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2010 A conf
ContexTour: Contextual Contour Analysis on Dynamic Multi-relational Clustering.
SDM
Yu-Ru Lin, Jimeng Sun, Nan Cao, Shixia Liu
2010 J jnl
FacetAtlas: Multifaceted Visualization for Rich Text Corpora.
IEEE Trans. Vis. Comput. Graph.
Nan Cao, Jimeng Sun, Yu-Ru Lin, David Gotz, Shixia Liu, Huamin Qu
2010 B conf
Localized Supervised Metric Learning on Temporal Physiological Data.
ICPR
Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi
2010 — conf
Medical Case-based Retrieval by Leveraging Medical Ontology and Physician Feedback: UIUC-IBM at ImageCLEF 2010.
CLEF (Notebook Papers/LABs/Workshops)
Parikshit Sondhi, Jimeng Sun, ChengXiang Zhai, Robert Sorrentino, Martin S. Kohn, Shahram Ebadollahi, Yanen Li
2010 A* conf
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model.
ICDM
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jinghai Rao
2010 A conf
PTM: probabilistic topic mapping model for mining parallel document collections.
CIKM
Duo Zhang, Jimeng Sun, ChengXiang Zhai, Abhijit Bose, Nikos Anerousis
2010 A* conf
Social action tracking via noise tolerant time-varying factor graphs.
KDD
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang
2010 A* conf
Temporal recommendation on graphs via long- and short-term preference fusion.
KDD
Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, Qing Yang, Jimeng Sun
2009 J jnl
AIM-HI: A framework for request routing in large-scale IT global service delivery.
IBM J. Res. Dev.
Asheq Khan, Hani Jamjoom, Jimeng Sun
2009 A* conf
Extracting community structure through relational hypergraphs.
WWW
Yu-Ru Lin, Jimeng Sun, Paul C. Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher
2009 B conf
HiMap: Adaptive visualization of large-scale online social networks.
PacificVis
Lei Shi, Nan Cao, Shixia Liu, Weihong Qian, Li Tan, Guodong Wang, Jimeng Sun, Ching-Yung Lin
2009 A* conf
MetaFac: community discovery via relational hypergraph factorization.
KDD
Yu-Ru Lin, Jimeng Sun, Paul C. Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher
2009 A conf
MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis.
SDM
Jimeng Sun, Spiros Papadimitriou, Ching-Yung Lin, Nan Cao, Shixia Liu, Weihong Qian
2009 A* conf
SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence.
ICDE
Ching-Yung Lin, Nan Cao, Shixia Liu, Spiros Papadimitriou, Jimeng Sun, Xifeng Yan
2009 A* conf
Social influence analysis in large-scale networks.
KDD
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
2009 A* conf
Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification.
ICDM
Fei Wang, Jimeng Sun, Tao Li, Nikos Anerousis
2008 J jnl
Bayesian Tensor Approach for 3-D Face Modeling.
IEEE Trans. Circuits Syst. Video Technol.
Dacheng Tao, Mingli Song, Xuelong Li, Jialie Shen, Jimeng Sun, Xindong Wu, Christos Faloutsos, Stephen J. Maybank
2008 B conf
Bayesian tensor analysis.
IJCNN
Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, Christos Faloutsos
2008 A conf
Clustered subset selection and its applications on it service metrics.
CIKM
Christos Boutsidis, Jimeng Sun, Nikos Anerousis
2008 A* conf
Colibri: fast mining of large static and dynamic graphs.
KDD
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos
2008 A* conf
DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining.
ICDM
Spiros Papadimitriou, Jimeng Sun
2008 — conf
Hierarchical, Parameter-Free Community Discovery.
ECML/PKDD (2)
Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu
2008 J jnl
Incremental pattern discovery on streams, graphs and tensors.
SIGKDD Explor.
Jimeng Sun
2008 J jnl
Incremental tensor analysis: Theory and applications.
ACM Trans. Knowl. Discov. Data
Jimeng Sun, Dacheng Tao, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2008 J jnl
Less is More: Sparse Graph Mining with Compact Matrix Decomposition.
Stat. Anal. Data Min.
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos
2008 — conf
SCOOP: Automated Social Recommendation in Enterprise Process Management.
IEEE SCC (1)
Huiming Qu, Jimeng Sun, Hani Jamjoom
2008 A* conf
Scalable Tensor Decompositions for Multi-aspect Data Mining.
ICDM
Tamara G. Kolda, Jimeng Sun
2008 — conf
Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data.
ECML/PKDD (1)
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad
2008 J jnl
Two heads better than one: pattern discovery in time-evolving multi-aspect data.
Data Min. Knowl. Discov.
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke, Christos Faloutsos, Tina Eliassi-Rad
2007 — ch.
Dimensionality Reduction and Forecasting on Streams.
Data Streams - Models and Algorithms
Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos
2007 A* conf
Dynamic Mixture Models for Multiple Time-Series.
IJCAI
Xing Wei, Jimeng Sun, Xuerui Wang
2007 A* conf
GraphScope: parameter-free mining of large time-evolving graphs.
KDD
Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu
2007 A* conf
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking.
ICDE
Feifei Li, Jimeng Sun, Spiros Papadimitriou, George A. Mihaila, Ioana Stanoi
2007 A conf
Less is More: Compact Matrix Decomposition for Large Sparse Graphs.
SDM
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos
2007 — conf
Mining large graphs and streams using matrix and tensor tools.
SIGMOD Conference
Christos Faloutsos, Tamara G. Kolda, Jimeng Sun
2007 — conf
Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria.
ICONIP (1)
Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, Christos Faloutsos
2006 A* conf
Beyond streams and graphs: dynamic tensor analysis.
KDD
Jimeng Sun, Dacheng Tao, Christos Faloutsos
2006 B conf
Distributed Pattern Discovery in Multiple Streams.
PAKDD
Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos
2006 A* conf
InteMon: Intelligent System Monitoring on Large Clusters.
VLDB
Evan Hoke, Jimeng Sun, Christos Faloutsos
2006 J jnl
InteMon: continuous mining of sensor data in large-scale self-infrastructures.
ACM SIGOPS Oper. Syst. Rev.
Evan Hoke, Jimeng Sun, John D. Strunk, Gregory R. Ganger, Christos Faloutsos
2006 — conf
Intelligent system monitoring on large clusters.
DMSN
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. Ganger, Christos Faloutsos
2006 A* conf
Local Correlation Tracking in Time Series.
ICDM
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
2006 J jnl
Spatio-temporal join selectivity.
Inf. Syst.
Jimeng Sun, Yufei Tao, Dimitris Papadias, George Kollios
2006 A* conf
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams.
ICDM
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
2005 A* conf
Neighborhood Formation and Anomaly Detection in Bipartite Graphs.
ICDM
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos
2005 A* conf
Online Latent Variable Detection in Sensor Networks.
ICDE
Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos
2005 J jnl
Relevance search and anomaly detection in bipartite graphs.
SIGKDD Explor.
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos
2005 A* conf
Streaming Pattern Discovery in Multiple Time-Series.
VLDB
Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos
2004 A* conf
Querying about the Past, the Present, and the Future in Spatio-Temporal.
ICDE
Jimeng Sun, Dimitris Papadias, Yufei Tao, Bin Liu
2003 J jnl
Analysis of predictive spatio-temporal queries.
ACM Trans. Database Syst.
Yufei Tao, Jimeng Sun, Dimitris Papadias
2003 A* conf
Selectivity Estimation for Predictive Spatio-Temporal Queries.
ICDE
Yufei Tao, Jimeng Sun, Dimitris Papadias
2003 A* conf
The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries.
VLDB
Yufei Tao, Dimitris Papadias, Jimeng Sun
2002 J jnl
Indexing and Retrieval of Historical Aggregate Information about Moving Objects.
IEEE Data Eng. Bull.
Dimitris Papadias, Yufei Tao, Jun Zhang, Nikos Mamoulis, Qiongmao Shen, Jimeng Sun