Jimeng Sun

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 215

Top Venues

CoRR

KDD

AAAI

J. Am. Medical Informatics Assoc.

Publications

Yilin Wen, Zifeng Wang, Jimeng Sun
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. ACL (1) (2024)
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
ManyDG: Many-domain Generalization for Healthcare Applications. CoRR (2023)
Zhenbang Wu, Huaxiu Yao, Zhe Su, David M. Liebovitz, Lucas M. Glass, James Zou, Chelsea Finn, Jimeng Sun
Knowledge-Driven New Drug Recommendation. CoRR (2022)
Tianfan Fu, Jimeng Sun
SIPF: Sampling Method for Inverse Protein Folding. KDD (2022)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Conformal Prediction with Temporal Quantile Adjustments. CoRR (2022)
Tianfan Fu, Jimeng Sun
Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model. KDD (2022)
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3 (4) (2022)
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) (2022)
Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi
$\mathrm {CT^2}$: Colorization Transformer via Color Tokens. ECCV (7) (2022)
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 (2022)
Chaoqi Yang, Cheng Qian, Jimeng Sun
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. CoRR (2022)
Junyi Gao, Chaoqi Yang, George Heintz, Scott Barrows, Elise Albers, Mary Stapel, Sara Warfield, Adam Cross, Jimeng Sun, the N3C consortium
MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction. CoRR (2022)
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. CoRR (2022)
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) (2022)
Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
PAC-Bayes Information Bottleneck. ICLR (2022)
Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR (2022)
Zifeng Wang, Jimeng Sun
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. CoRR (2022)
Zifeng Wang, Jimeng Sun
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. CoRR (2022)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Conformal Prediction Intervals with Temporal Dependence. CoRR (2022)
Yuanqi Du, Tianfan Fu, Jimeng Sun, Shengchao Liu
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design. CoRR (2022)
Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI (2022)
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. CoRR (2022)
Zifeng Wang, Jimeng Sun
TransTab: Learning Transferable Tabular Transformers Across Tables. CoRR (2022)
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. CoRR (2022)
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW (2022)
Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. CoRR (2022)
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 (2022)
Chaoqi Yang, Cheng Qian, Jimeng Sun
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. IJCAI (2022)
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) (2022)
Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun
Artificial Intelligence for In Silico Clinical Trials: A Review. CoRR (2022)
Zifeng Wang, Jimeng Sun
SurvTRACE: transformers for survival analysis with competing events. BCB (2022)
Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun
Reinforced Genetic Algorithm for Structure-based Drug Design. CoRR (2022)
Jimeng Sun, Shuchen Weng, Zheng Chang, Si Li, Boxin Shi
UniCoRN: A Unified Conditional Image Repainting Network. CVPR (2022)
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
Differentiable Scaffolding Tree for Molecule Optimization. ICLR (2022)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. CoRR (2022)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR (2021)
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) (2021)
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR (2021)
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
Machine Learning Applications for Therapeutic Tasks with Genomics Data. CoRR (2021)
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR (2021)
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) (2021)
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. KDD (2021)
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) (2021)
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)
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
Augmented Tensor Decomposition with Stochastic Optimization. CoRR (2021)
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)
Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB (2021)
Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37 (6) (2021)
Jimeng Sun, Si Li
Domain Adaptation for Medical Semantic Textual Similarity. IC-NIDC (2021)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData (2021)
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)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR (2021)
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) (2021)
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)
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
Differentiable Scaffolding Tree for Molecular Optimization. CoRR (2021)
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI (2021)
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun
PyHealth: A Python Library for Health Predictive Models. CoRR (2021)
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) (2021)
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. CoRR (2021)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI (2021)
Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. KDD (2021)
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) (2021)
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) (2021)
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) (2021)
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)
Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
PAC-Bayes Information Bottleneck. CoRR (2021)
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) (2021)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW (2021)
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)
Zifeng Wang, Jimeng Sun
SurvTRACE: Transformers for Survival Analysis with Competing Events. CoRR (2021)
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
Change Matters: Medication Change Prediction with Recurrent Residual Networks. CoRR (2021)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models. CoRR (2021)
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models. NeurIPS (2021)
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. AAAI (2021)
Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun
Self-supervised EEG Representation Learning for Automatic Sleep Staging. CoRR (2021)
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. CoRR (2021)
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
Advances in Mining Heterogeneous Healthcare Data. KDD (2021)
Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData (2021)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf 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)
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)
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. WWW (2020)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR (2020)
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. CoRR (2020)
Yanbo Xu, Cao Xiao, Jimeng Sun
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR (2020)
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. CoRR (2020)
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 (2020)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR (2020)
Tianfan Fu, Cao Xiao, Jimeng Sun
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. AAAI (2020)
Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun
α-MOP: Molecule optimization with α-divergence. BIBM (2020)
Sungtae An, Shenda Hong, Jimeng Sun
ViVA: Semi-supervised Visualization via Variational Autoencoders. ICDM (2020)
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 (2020)
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR (2020)
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. CoRR (2020)
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR (2020)
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)
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)
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) (2020)
Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR (2020)
Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. AAAI (2020)
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 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jimeng Sun