b'Jimeng Sun'

research

∙ 05/30/2023

FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection

Despite many efforts to address the disparities, the underrepresentation...

0 Brandon Theodorou, et al. ∙

research

∙ 05/30/2023

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Large language models (LLMs) specializing in natural language generation...

0 Zhen Lin, et al. ∙

research

∙ 05/24/2023

Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models

The mission of open knowledge graph (KG) completion is to draw new findi...

0 Pengcheng Jiang, et al. ∙

research

∙ 05/22/2023

GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs

Clinical predictive models often rely on patients electronic health reco...

0 Pengcheng Jiang, et al. ∙

research

∙ 05/20/2023

AnyPredict: Foundation Model for Tabular Prediction

Foundation models are pre-trained on massive data to perform well across...

0 Zifeng Wang, et al. ∙

research

∙ 05/19/2023

AutoTrial: Prompting Language Models for Clinical Trial Design

Clinical trials are critical for drug development. Constructing the appr...

0 Zifeng Wang, et al. ∙

research

∙ 04/07/2023

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning

Clinical trials are essential to drug development but time-consuming, co...

0 Zifeng Wang, et al. ∙

research

∙ 04/04/2023

Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model

Synthetic electronic health records (EHRs) that are both realistic and p...

0 Brandon Theodorou, et al. ∙

research

∙ 02/02/2023

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control

Many real-world multi-label prediction problems involve set-valued predi...

0 Zhen Lin, et al. ∙

research

∙ 01/21/2023

ManyDG: Many-domain Generalization for Healthcare Applications

The vast amount of health data has been continuously collected for each ...

0 Chaoqi Yang, et al. ∙

research

∙ 11/28/2022

Reinforced Genetic Algorithm for Structure-based Drug Design

Structure-based drug design (SBDD) aims to discover drug candidates by f...

64 Tianfan Fu, et al. ∙

research

∙ 10/18/2022

MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Existing vision-text contrastive learning like CLIP aims to match the pa...

26 Zifeng Wang, et al. ∙

research

∙ 10/11/2022

Knowledge-Driven New Drug Recommendation

Drug recommendation assists doctors in prescribing personalized medicati...

24 Zhenbang Wu, et al. ∙

research

∙ 09/16/2022

Artificial Intelligence for In Silico Clinical Trials: A Review

A clinical trial is an essential step in drug development, which is ofte...

35 Zifeng Wang, et al. ∙

research

∙ 07/25/2022

MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction

The COVID-19 pandemic has caused devastating economic and social disrupt...

0 Junyi Gao, et al. ∙

research

∙ 06/29/2022

Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision

Clinical trials are essential for drug development but are extremely exp...

0 Zifeng Wang, et al. ∙

research

∙ 06/22/2022

Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization

Molecular optimization is a fundamental goal in the chemical sciences an...

0 Wenhao Gao, et al. ∙

research

∙ 05/25/2022

Conformal Prediction Intervals with Temporal Dependence

Cross-sectional prediction is common in many domains such as healthcare,...

0 Zhen Lin, et al. ∙

research

∙ 05/20/2022

Conformal Prediction with Temporal Quantile Adjustments

We develop Temporal Quantile Adjustment (TQA), a general method to const...

0 Zhen Lin, et al. ∙

research

∙ 05/19/2022

TransTab: Learning Transferable Tabular Transformers Across Tables

Tabular data (or tables) are the most widely used data format in machine...

0 Zifeng Wang, et al. ∙

research

∙ 05/08/2022

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion

Low-rank tensor factorization or completion is well-studied and applied ...

0 Chaoqi Yang, et al. ∙

research

∙ 04/13/2022

Clinical trial site matching with improved diversity using fair policy learning

The ongoing pandemic has highlighted the importance of reliable and effi...

0 Rakshith S Srinivasa, et al. ∙

research

∙ 03/28/2022

MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design

Molecule design is a fundamental problem in molecular science and has cr...

40 Yuanqi Du, et al. ∙

research

∙ 03/09/2022

Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It

Many fundamental problems affecting the care of critically ill patients ...

15 Harsh Parikh, et al. ∙

research

∙ 03/04/2022

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment

Given a deep learning model trained on data from a source site, how to d...

0 Zhenbang Wu, et al. ∙

research

∙ 02/15/2022

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks

Deep neural network (DNN) classifiers are often overconfident, producing...

0 Zhen Lin, et al. ∙

research

∙ 01/31/2022

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion

Tensor completion aims at imputing missing entries from a partially obse...

0 Cheng Qian, et al. ∙

research

∙ 10/27/2021

Self-supervised EEG Representation Learning for Automatic Sleep Staging

Objective: In this paper, we aim to learn robust vector representations ...

0 Chaoqi Yang, et al. ∙

research

∙ 10/02/2021

SurvTRACE: Transformers for Survival Analysis with Competing Events

In medicine, survival analysis studies the time duration to events of in...

0 Zifeng Wang, et al. ∙

research

∙ 09/29/2021

PAC-Bayes Information Bottleneck

Information bottleneck (IB) depicts a trade-off between the accuracy and...

0 Zifeng Wang, et al. ∙

research

∙ 09/22/2021

Differentiable Scaffolding Tree for Molecular Optimization

The structural design of functional molecules, also called molecular opt...

35 Tianfan Fu, et al. ∙

research

∙ 06/15/2021

Augmented Tensor Decomposition with Stochastic Optimization

Tensor decompositions are powerful tools for dimensionality reduction an...

0 Chaoqi Yang, et al. ∙

research

∙ 06/14/2021

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations

Existing tensor completion formulation mostly relies on partial observat...

0 Chaoqi Yang, et al. ∙

research

∙ 06/01/2021

Locally Valid and Discriminative Confidence Intervals for Deep Learning Models

Crucial for building trust in deep learning models for critical real-wor...

0 Zhen Lin, et al. ∙

research

∙ 05/11/2021

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data

Real-world spatio-temporal data is often incomplete or inaccurate due to...

0 Cheng Qian, et al. ∙

research

∙ 05/05/2021

Change Matters: Medication Change Prediction with Recurrent Residual Networks

Deep learning is revolutionizing predictive healthcare, including recomm...

0 Chaoqi Yang, et al. ∙

research

∙ 05/05/2021

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations

Medication recommendation is an essential task of AI for healthcare. Exi...

0 Chaoqi Yang, et al. ∙

research

∙ 05/03/2021

Machine Learning Applications for Therapeutic Tasks with Genomics Data

Thanks to the increasing availability of genomics and other biomedical d...

0 Kexin Huang, et al. ∙

research

∙ 03/05/2021

SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models

Despite deep learning (DL) success in classification problems, DL classi...

0 Zhen Lin, et al. ∙

research

∙ 02/08/2021

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data

Clinical trials are crucial for drug development but are time consuming,...

0 Tianfan Fu, et al. ∙

research

∙ 12/18/2020

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

Researchers require timely access to real-world longitudinal electronic ...

13 Siddharth Biswal, et al. ∙

research

∙ 12/08/2020

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization

Accurate prediction of the transmission of epidemic diseases such as COV...

0 Nikos Kargas, et al. ∙

research

∙ 10/30/2020

FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection

To test the possibility of differentiating chest x-ray images of COVID-1...

0 Zhi Qiao, et al. ∙

research

∙ 10/28/2020

DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data

Counterfactual prediction is about predicting outcome of the unobserved ...

0 Yanbo Xu, et al. ∙

research

∙ 10/22/2020

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data

Successful health risk prediction demands accuracy and reliability of th...

10 Chacha Chen, et al. ∙

research

∙ 10/08/2020

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors

Existing tensor factorization methods assume that the input tensor follo...

0 Ardavan Afshar, et al. ∙

research

∙ 10/05/2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning

The efficacy of a drug depends on its binding affinity to the therapeuti...

0 Kexin Huang, et al. ∙

research

∙ 10/05/2020

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

Molecule optimization is a fundamental task for accelerating drug discov...

13 Tianfan Fu, et al. ∙

research

∙ 10/04/2020

SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

Thanks to the increasing availability of drug-drug interactions (DDI) da...

0 Yue Yu, et al. ∙

research

∙ 08/28/2020

Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning

Time-series forecasting is one of the most active research topics in pre...

54 Gabriel Spadon, et al. ∙

Jimeng Sun

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