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2020 – today
- 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) - [c153]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. AAAI 2021: 125-133 - [c152]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 - [c151]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 - [c150]Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma:
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) 2021: 2096-2101 - [c149]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 - [c148]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 - [c147]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI 2021: 3728-3734 - [c146]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 - [c145]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 - [c144]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 - [c143]Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun:
Advances in Mining Heterogeneous Healthcare Data. KDD 2021: 4050-4051 - [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]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR abs/2005.10918 (2020) - [i54]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. CoRR abs/2006.08765 (2020) - [i53]Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun:
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR abs/2006.08796 (2020) - [i52]Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang:
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. CoRR abs/2006.10217 (2020) - [i51]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
ELF: An Early-Exiting Framework for Long-Tailed Classification. CoRR abs/2006.11979 (2020) - [i50]Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun:
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. CoRR abs/2007.05597 (2020) - [i49]Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov:
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR abs/2008.04063 (2020) - [i48]Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. CoRR abs/2008.04215 (2020) - [i47]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. CoRR abs/2008.10546 (2020) - [i46]Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning. CoRR abs/2008.12833 (2020) - [i45]Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization. CoRR abs/2010.01450 (2020) - [i44]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. CoRR abs/2010.02318 (2020) - [i43]Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun:
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. CoRR abs/2010.03951 (2020) - [i42]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. CoRR abs/2010.04081 (2020) - [i41]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR abs/2010.11389 (2020) - [i40]Yanbo Xu, Cao Xiao, Jimeng Sun:
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR abs/2010.15028 (2020) - [i39]Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun:
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection. CoRR abs/2010.16039 (2020) - [i38]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. CoRR abs/2012.04747 (2020) - [i37]Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Jimeng Sun:
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. CoRR abs/2012.10020 (2020)
2010 – 2019
- 2019
- [j47]Ioakeim Perros, Evangelos E. Papalexakis, Richard W. Vuduc, Elizabeth Searles, Jimeng Sun:
Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization. J. Biomed. Informatics 93 (2019) - [j46]Yuchen Ma, Jiajia Li, Xiaolong Wu, Chenggang Yan, Jimeng Sun, Richard W. Vuduc:
Optimizing sparse tensor times matrix on GPUs. J. Parallel Distributed Comput. 129: 99-109 (2019) - [j45]Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, M. Brandon Westover, Samuel Madden, Michael Stonebraker:
Smile: A System to Support Machine Learning on EEG Data at Scale. Proc. VLDB Endow. 12(12): 2230-2241 (2019) - [j44]Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Trans. Vis. Comput. Graph. 25(1): 299-309 (2019) - [c124]Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun:
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. AAAI 2019: 435-442 - [c123]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. AAAI 2019: 1126-1133 - [c122]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 223-232 - [c121]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 542 - [c120]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. BioNLP@ACL 2019: 261-272 - [c119]Jiajia Li, Bora Uçar, Ümit V. Çatalyürek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc:
Efficient and effective sparse tensor reordering. ICS 2019: 227-237 - [c118]Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun:
DDL: Deep Dictionary Learning for Predictive Phenotyping. IJCAI 2019: 5857-5863 - [c117]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI 2019: 5888-5894 - [c116]Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI 2019: 5895-5901 - [c115]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. IJCAI 2019: 5953-5959 - [c114]Cao Xiao, Jimeng Sun:
Tutorial: Data Mining Methods for Drug Discovery and Development. KDD 2019: 3195-3196 - [c113]Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun:
EEGtoText: Learning to Write Medical Reports from EEG Recordings. MLHC 2019: 513-531 - [c112]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. MLHC 2019: i - [c111]Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho:
CP Tensor Decomposition with Cannot-Link Intermode Constraints. SDM 2019: 711-719 - [c110]Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar:
Guaranteed Scalable Learning of Latent Tree Models. UAI 2019: 883-893 - [c109]Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun:
Longitudinal Adversarial Attack on Electronic Health Records Data. WWW 2019: 2558-2564 - [i36]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR abs/1905.11333 (2019) - [i35]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. CoRR abs/1906.00346 (2019) - [i34]Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein:
Clinical Concept Extraction for Document-Level Coding. CoRR abs/1906.03380 (2019) - [i33]Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. CoRR abs/1907.01022 (2019) - [i32]Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. CoRR abs/1907.01099 (2019) - [i31]Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun:
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. CoRR abs/1910.02107 (2019) - [i30]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. CoRR abs/1910.06100 (2019) - [i29]Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan, Walter F. Stewart, Joyce C. Ho, Jimeng Sun:
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records. CoRR abs/1911.05843 (2019) - [i28]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. CoRR abs/1911.06446 (2019) - [i27]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR abs/1911.08630 (2019) - [i26]Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. CoRR abs/1911.10395 (2019) - [i25]Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. CoRR abs/1911.13232 (2019) - [i24]Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. CoRR abs/1912.05910 (2019) - 2018
- [j43]Cao Xiao, Edward Choi, Jimeng Sun:
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. 25(10): 1419-1428 (2018) - [j42]Siddharth Biswal, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Jimeng Sun, Matt T. Bianchi:
Expert-level sleep scoring with deep neural networks. J. Am. Medical Informatics Assoc. 25(12): 1643-1650 (2018) - [c108]Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun:
COPA: Constrained PARAFAC2 for Sparse & Large Datasets. CIKM 2018: 793-802 - [c107]