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ORCIDJimeng Sun 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- affiliation (former): IBM Thomas J. Watson Research Center, USA
- affiliation (former): Georgia Institute of Technology, College of Computing, GA, USA
- affiliation (PhD 2007): Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong
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2020 – today
- 2023
[i100]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. CoRR abs/2301.08834 (2023)- [i99]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. CoRR abs/2302.00839 (2023) - 2022
- [j65]Gabriel Spadon
, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5368-5384 (2022) - [j64]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3(4): 100445 (2022) - [j63]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. 34(2): 531-543 (2022) - [j62]Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. IEEE Trans. Knowl. Data Eng. 34(11): 5459-5471 (2022) - [c175]Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI 2022: 7497-7505 - [c174]Zifeng Wang, Jimeng Sun:
SurvTRACE: transformers for survival analysis with competing events. BCB 2022: 49:1-49:9 - [c173]Jimeng Sun, Shuchen Weng, Zheng Chang, Si Li, Boxin Shi:
UniCoRN: A Unified Conditional Image Repainting Network. CVPR 2022: 11359-11368 - [c172]Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi:
CT2: Colorization Transformer via Color Tokens. ECCV (7) 2022: 1-16 - [c171]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. EMNLP 2022: 2873-2885 - [c170]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. EMNLP 2022: 3876-3887 - [c169]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. EMNLP (Findings) 2022: 6377-6390 - [c168]Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022 - [c167]Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecule Optimization. ICLR 2022 - [c166]Chaoqi Yang, Cheng Qian, Jimeng Sun:
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. IJCAI 2022: 2348-2354 - [c165]Tianfan Fu, Jimeng Sun:
SIPF: Sampling Method for Inverse Protein Folding. KDD 2022: 378-388 - [c164]Tianfan Fu, Jimeng Sun:
Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model. KDD 2022: 389-399 - [c163]Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun:
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. MLHC 2022: 297-324 - [c162]Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun:
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. ECML/PKDD (2) 2022: 505-520 - [c161]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW 2022: 2552-2562 - [i98]Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR abs/2202.00071 (2022) - [i97]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. CoRR abs/2202.03415 (2022) - [i96]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. CoRR abs/2202.07679 (2022) - [i95]Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun:
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. CoRR abs/2203.02446 (2022) - [i94]Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover:
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR abs/2203.04920 (2022) - [i93]Yuanqi Du, Tianfan Fu, Jimeng Sun, Shengchao Liu:
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design. CoRR abs/2203.14500 (2022) - [i92]Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun:
Clinical trial site matching with improved diversity using fair policy learning. CoRR abs/2204.06501 (2022) - [i91]Chaoqi Yang, Cheng Qian, Jimeng Sun:
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. CoRR abs/2205.03749 (2022) - [i90]Zifeng Wang, Jimeng Sun:
TransTab: Learning Transferable Tabular Transformers Across Tables. CoRR abs/2205.09328 (2022) - [i89]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction with Temporal Quantile Adjustments. CoRR abs/2205.09940 (2022) - [i88]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction Intervals with Temporal Dependence. CoRR abs/2205.12940 (2022) - [i87]Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley:
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. CoRR abs/2206.12411 (2022) - [i86]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. CoRR abs/2206.14719 (2022) - [i85]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 abs/2207.12283 (2022) - [i84]Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun:
Artificial Intelligence for In Silico Clinical Trials: A Review. CoRR abs/2209.09023 (2022) - [i83]Zhenbang Wu, Huaxiu Yao, Zhe Su, David M. Liebovitz, Lucas M. Glass, James Zou, Chelsea Finn, Jimeng Sun:
Knowledge-Driven New Drug Recommendation. CoRR abs/2210.05572 (2022) - [i82]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. CoRR abs/2210.10163 (2022) - [i81]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. CoRR abs/2211.01761 (2022) - [i80]Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun:
Reinforced Genetic Algorithm for Structure-based Drug Design. CoRR abs/2211.16508 (2022) - 2021
- [b1]Cao Xiao, Jimeng Sun:
Introduction to Deep Learning for Healthcare. Springer 2021, ISBN 978-3-030-82183-8, pp. 1-232 - [j61]Kexin Huang, Tianfan Fu, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun:
DeepPurpose: a deep learning library for drug-target interaction prediction. Bioinform. 36(22-23): 5545-5547 (2021) - [j60]Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37(6): 830-836 (2021) - [j59]Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. Bioinform. 37(18): 2988-2995 (2021) - [j58]Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun:
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection. J. Am. Medical Informatics Assoc. 28(3): 444-452 (2021) - [j57]Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin:
SynTEG: a framework for temporal structured electronic health data simulation. J. Am. Medical Informatics Assoc. 28(3): 596-604 (2021) - [j56]Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. J. Am. Medical Informatics Assoc. 28(4): 733-743 (2021) - [j55]Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine learning applications for therapeutic tasks with genomics data. Patterns 2(10): 100328 (2021) - [j54]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j53]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [c160]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. AAAI 2021: 125-133 - [c159]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. AAAI 2021: 4830-4837 - [c158]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. AAAI 2021: 6548-6556 - [c157]Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma:
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) 2021: 2096-2101 - [c156]Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun:
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB 2021: 27:1-27:10 - [c155]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData 2021: 735-745 - [c154]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData 2021: 5102-5106 - [c153]Jimeng Sun, Si Li:
Domain Adaptation for Medical Semantic Textual Similarity. IC-NIDC 2021: 319-323 - [c152]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. IJCAI 2021: 2906-2912 - [c151]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI 2021: 3728-3734 - [c150]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI 2021: 3735-3741 - [c149]Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun:
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. KDD 2021: 404-414 - [c148]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. KDD 2021: 1953-1963 - [c147]Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun:
Advances in Mining Heterogeneous Healthcare Data. KDD 2021: 4050-4051 - [c146]Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun:
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. MLHC 2021: 260-282 - [c145]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - [c144]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks 2021 - [c143]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models. NeurIPS 2021: 8378-8391 - [c142]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW 2021: 217-226 - [c141]Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun:
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. WWW 2021: 3569-3581 - [i79]Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun:
PyHealth: A Python Library for Health Predictive Models. CoRR abs/2101.04209 (2021) - [i78]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. CoRR abs/2102.04252 (2021) - [i77]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik:
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR abs/2102.09548 (2021) - [i76]Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR abs/2103.03945 (2021) - [i75]Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine Learning Applications for Therapeutic Tasks with Genomics Data. CoRR abs/2105.01171 (2021) - [i74]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. CoRR abs/2105.01876 (2021) - [i73]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR abs/2105.02711 (2021) - [i72]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR abs/2105.05326 (2021) - [i71]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Locally Valid and Discriminative Confidence Intervals for Deep Learning Models. CoRR abs/2106.00225 (2021) - [i70]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. CoRR abs/2106.07135 (2021) - [i69]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
Augmented Tensor Decomposition with Stochastic Optimization. CoRR abs/2106.07900 (2021) - [i68]Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecular Optimization. CoRR abs/2109.10469 (2021) - [i67]Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. CoRR abs/2109.14509 (2021) - [i66]Zifeng Wang, Jimeng Sun:
SurvTRACE: Transformers for Survival Analysis with Competing Events. CoRR abs/2110.00855 (2021) - [i65]Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun:
Self-supervised EEG Representation Learning for Automatic Sleep Staging. CoRR abs/2110.15278 (2021) - 2020
- [j52]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. Comput. Biol. Medicine 122: 103801 (2020) - [j51]Zhuochen Jin, Shuyuan Cui, Shunan Guo, David Gotz, Jimeng Sun, Nan Cao:
CarePre: An Intelligent Clinical Decision Assistance System. ACM Trans. Comput. Heal. 1(1): 6:1-6:20 (2020) - [j50]Ziqi Zhang, Chao Yan, Diego A. Mesa, Jimeng Sun, Bradley A. Malin:
Ensuring electronic medical record simulation through better training, modeling, and evaluation. J. Am. Medical Informatics Assoc. 27(1): 99-108 (2020) - [j49]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
Dr. Agent: Clinical predictive model via mimicked second opinions. J. Am. Medical Informatics Assoc. 27(7): 1084-1091 (2020) - [j48]Ioakeim Perros, Xiaowei Yan, James B. Jones, Jimeng Sun, Walter F. Stewart:
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work. J. Biomed. Informatics 101: 103312 (2020) - [c140]Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. AAAI 2020: 557-564 - [c139]Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. AAAI 2020: 614-621 - [c138]Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. AAAI 2020: 638-645 - [c137]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. AAAI 2020: 702-709 - [c136]Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
α-MOP: Molecule optimization with α-divergence. BIBM 2020: 240-244 - [c135]Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun:
TASTE: temporal and static tensor factorization for phenotyping electronic health records. CHIL 2020: 193-203 - [c134]Sungtae An, Shenda Hong, Jimeng Sun:
ViVA: Semi-supervised Visualization via Variational Autoencoders. ICDM 2020: 22-31 - [c133]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. ICML 2020: 5405-5415 - [c132]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. KDD 2020: 803-812 - [c131]Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang:
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. KDD 2020: 1026-1035 - [c130]Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov:
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD 2020: 1614-1624 - [c129]Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun:
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. KDD 2020: 1625-1635 - [c128]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. WWW 2020: 530-540 - [c127]Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
Clinical Report Auto-completion. WWW 2020: 541-550 - [c126]Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun:
Patient-Trial Matching with Deep Embedding and Entailment Prediction. WWW 2020: 1029-1037 - [c125]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. WWW 2020: 1704-1714 - [i64]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR abs/2001.01550 (2020) - [i63]Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. CoRR abs/2001.08179 (2020) - [i62]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. CoRR abs/2001.10054 (2020) - [i61]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR abs/2001.11363 (2020) - [i60]Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun:
CLARA: Clinical Report Auto-completion. CoRR abs/2002.11701 (2020) - [i59]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu:
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR abs/2003.05731 (2020) - [i58]Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun:
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. CoRR abs/2004.08919 (2020) - [i57]Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR abs/2004.11424 (2020) - [i56]Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun:
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. CoRR abs/2004.14949 (2020) - [i55]