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ORCIDJimeng Sun 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
- affiliation (former): IBM Thomas J. Watson Research Center, USA
- affiliation (former): Georgia Institute of Technology, College of Computing, GA, USA
- affiliation (PhD 2007): Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong
Other persons with the same name
- Jimeng Sun 0002 — Beijing University of Posts and Telecommunications, China
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2020 – today
- 2023
[j67]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023)- [c187]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) 2023: 11161-11180 - [c186]Zifeng Wang
, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. BCB 2023: 53:1-53:11 - [c185]Brandon Philip Theodorou, Cao Xiao, Jimeng Sun:
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. BCB 2023: 55:1-55:9 - [c184]Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang:
DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. EMNLP (Demos) 2023: 373-380 - [c183]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. ICLR 2023 - [c182]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. ICLR 2023 - [c181]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. ICML 2023: 21182-21203 - [c180]Trisha Das, Zifeng Wang, Jimeng Sun:
TWIN: Personalized Clinical Trial Digital Twin Generation. KDD 2023: 402-413 - [c179]Zhenbang Wu, Cao Xiao, Jimeng Sun:
MedLink: De-Identified Patient Health Record Linkage. KDD 2023: 2672-2682 - [c178]Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun:
PyHealth: A Deep Learning Toolkit for Healthcare Applications. KDD 2023: 5788-5789 - [i120]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
ManyDG: Many-domain Generalization for Healthcare Applications. CoRR abs/2301.08834 (2023) - [i119]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. CoRR abs/2302.00839 (2023) - [i118]Brandon Theodorou, Cao Xiao, Jimeng Sun:
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model. CoRR abs/2304.02169 (2023) - [i117]Zifeng Wang, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. CoRR abs/2304.05352 (2023) - [i116]Chaoqi Yang, M. Brandon Westover, Jimeng Sun:
BIOT: Cross-data Biosignal Learning in the Wild. CoRR abs/2305.10351 (2023) - [i115]Zifeng Wang, Cao Xiao, Jimeng Sun:
AutoTrial: Prompting Language Models for Clinical Trial Design. CoRR abs/2305.11366 (2023) - [i114]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
AnyPredict: Foundation Model for Tabular Prediction. CoRR abs/2305.12081 (2023) - [i113]Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun:
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs. CoRR abs/2305.12788 (2023) - [i112]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i111]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models. CoRR abs/2305.19187 (2023) - [i110]Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun:
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection. CoRR abs/2305.19407 (2023) - [i109]Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun:
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. CoRR abs/2306.04018 (2023) - [i108]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i107]Brandon Theodorou, Cao Xiao, Jimeng Sun:
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network. CoRR abs/2307.09942 (2023) - [i106]Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu:
Matching Patients to Clinical Trials with Large Language Models. CoRR abs/2307.15051 (2023) - [i105]Yilin Wen, Zifeng Wang, Jimeng Sun:
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. CoRR abs/2308.09729 (2023) - [i104]Kaizhao Liang, Xu Cao, Kuei-Da Liao, Tianren Gao, Wenqian Ye, Zhengyu Chen, Jianguo Cao, Tejas Nama, Jimeng Sun:
PIE: Simulating Disease Progression via Progressive Image Editing. CoRR abs/2309.11745 (2023) - [i103]Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun:
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients. CoRR abs/2309.12625 (2023) - [i102]Tao Feng, Zifeng Wang, Jimeng Sun:
CITING: Large Language Models Create Curriculum for Instruction Tuning. CoRR abs/2310.02527 (2023) - [i101]Ruiyu Wang, Zifeng Wang, Jimeng Sun:
UniPredict: Large Language Models are Universal Tabular Predictors. CoRR abs/2310.03266 (2023) - [i100]Tao Feng, Pengcheng Xu, Tianfan Fu, Siddhartha Laghuvarapu, Jimeng Sun:
Molecular De Novo Design through Transformer-based Reinforcement Learning. CoRR abs/2310.05365 (2023) - [i99]Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang:
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming. CoRR abs/2310.09265 (2023) - [i98]Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun:
Conformal Drug Property Prediction with Density Estimation under Covariate Shift. CoRR abs/2310.12033 (2023) - 2022
- [j66]Gabriel Spadon, Shenda Hong, Bruno Brandoli, Stan Matwin, José F. Rodrigues Jr., Jimeng Sun:
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5368-5384 (2022) - [j65]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3(4): 100445 (2022) - [j64]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. 34(2): 531-543 (2022) - [j63]Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. IEEE Trans. Knowl. Data Eng. 34(11): 5459-5471 (2022) - [j62]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction Intervals with Temporal Dependence. Trans. Mach. Learn. Res. 2022 (2022) - [c177]Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI 2022: 7497-7505 - [c176]Zifeng Wang, Jimeng Sun:
SurvTRACE: transformers for survival analysis with competing events. BCB 2022: 49:1-49:9 - [c175]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. EMNLP 2022: 2873-2885 - [c174]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. EMNLP 2022: 3876-3887 - [c173]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. EMNLP (Findings) 2022: 6377-6390 - [c172]Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022 - [c171]Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecule Optimization. ICLR 2022 - [c170]Chaoqi Yang, Cheng Qian, Jimeng Sun:
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. IJCAI 2022: 2348-2354 - [c169]Tianfan Fu, Jimeng Sun:
SIPF: Sampling Method for Inverse Protein Folding. KDD 2022: 378-388 - [c168]Tianfan Fu, Jimeng Sun:
Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model. KDD 2022: 389-399 - [c167]Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun:
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. MLHC 2022: 297-324 - [c166]Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley:
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. NeurIPS 2022 - [c165]Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun:
Reinforced Genetic Algorithm for Structure-based Drug Design. NeurIPS 2022 - [c164]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction with Temporal Quantile Adjustments. NeurIPS 2022 - [c163]Zifeng Wang, Jimeng Sun:
TransTab: Learning Transferable Tabular Transformers Across Tables. NeurIPS 2022 - [c162]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
ATD: Augmenting CP Tensor Decomposition by Self Supervision. NeurIPS 2022 - [c161]Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun:
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. ECML/PKDD (2) 2022: 505-520 - [c160]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW 2022: 2552-2562 - [i97]Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun:
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR abs/2202.00071 (2022) - [i96]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. CoRR abs/2202.03415 (2022) - [i95]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. CoRR abs/2202.07679 (2022) - [i94]Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun:
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. CoRR abs/2203.02446 (2022) - [i93]Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover:
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR abs/2203.04920 (2022) - [i92]Yuanqi Du, Tianfan Fu, Jimeng Sun, Shengchao Liu:
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design. CoRR abs/2203.14500 (2022) - [i91]Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun:
Clinical trial site matching with improved diversity using fair policy learning. CoRR abs/2204.06501 (2022) - [i90]Chaoqi Yang, Cheng Qian, Jimeng Sun:
GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. CoRR abs/2205.03749 (2022) - [i89]Zifeng Wang, Jimeng Sun:
TransTab: Learning Transferable Tabular Transformers Across Tables. CoRR abs/2205.09328 (2022) - [i88]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction with Temporal Quantile Adjustments. CoRR abs/2205.09940 (2022) - [i87]Zhen Lin, Shubhendu Trivedi, Jimeng Sun:
Conformal Prediction Intervals with Temporal Dependence. CoRR abs/2205.12940 (2022) - [i86]Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley:
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. CoRR abs/2206.12411 (2022) - [i85]Zifeng Wang, Jimeng Sun:
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. CoRR abs/2206.14719 (2022) - [i84]Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun:
Artificial Intelligence for In Silico Clinical Trials: A Review. CoRR abs/2209.09023 (2022) - [i83]Zhenbang Wu, Huaxiu Yao, Zhe Su, David M. Liebovitz, Lucas M. Glass, James Zou, Chelsea Finn, Jimeng Sun:
Knowledge-Driven New Drug Recommendation. CoRR abs/2210.05572 (2022) - [i82]Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun:
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. CoRR abs/2210.10163 (2022) - [i81]Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. CoRR abs/2211.01761 (2022) - [i80]Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun:
Reinforced Genetic Algorithm for Structure-based Drug Design. CoRR abs/2211.16508 (2022) - 2021
- [b1]Cao Xiao, Jimeng Sun:
Introduction to Deep Learning for Healthcare. Springer 2021, ISBN 978-3-030-82183-8, pp. 1-232 - [j61]Kexin Huang, Tianfan Fu, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun:
DeepPurpose: a deep learning library for drug-target interaction prediction. Bioinform. 36(22-23): 5545-5547 (2021) - [j60]Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37(6): 830-836 (2021) - [j59]Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. Bioinform. 37(18): 2988-2995 (2021) - [j58]Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun:
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection. J. Am. Medical Informatics Assoc. 28(3): 444-452 (2021) - [j57]Ziqi Zhang, Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley A. Malin:
SynTEG: a framework for temporal structured electronic health data simulation. J. Am. Medical Informatics Assoc. 28(3): 596-604 (2021) - [j56]Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao:
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. J. Am. Medical Informatics Assoc. 28(4): 733-743 (2021) - [j55]Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine learning applications for therapeutic tasks with genomics data. Patterns 2(10): 100328 (2021) - [j54]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j53]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [c159]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. AAAI 2021: 125-133 - [c158]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. AAAI 2021: 4830-4837 - [c157]Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. AAAI 2021: 6548-6556 - [c156]Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma:
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) 2021: 2096-2101 - [c155]Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun:
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB 2021: 27:1-27:10 - [c154]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData 2021: 735-745 - [c153]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData 2021: 5102-5106 - [c152]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. IJCAI 2021: 2906-2912 - [c151]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI 2021: 3728-3734 - [c150]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI 2021: 3735-3741 - [c149]Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun:
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. KDD 2021: 404-414 - [c148]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. KDD 2021: 1953-1963 - [c147]Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun:
Advances in Mining Heterogeneous Healthcare Data. KDD 2021: 4050-4051 - [c146]Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun:
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. MLHC 2021: 260-282 - [c145]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - [c144]Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf 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]