Search Results for author: Yanbo Xu

Found 12 papers, 5 papers with code

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units

3 code implementations10 Aug 2020 Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov

HOLMES is tested on risk prediction task on pediatric cardio ICU data with above 95% prediction accuracy and sub-second latency on 64-bed simulation.

Navigate

FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models

2 code implementations NeurIPS 2023 Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing Tai, Chi-Keung Tang

The ability to create high-quality 3D faces from a single image has become increasingly important with wide applications in video conferencing, AR/VR, and advanced video editing in movie industries.

3D Face Reconstruction Video Editing +1

A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves

no code implementations18 Aug 2016 Yanbo Xu, Yanxun Xu, Suchi Saria

We study the problem of estimating the continuous response over time to interventions using observational time series---a retrospective dataset where the policy by which the data are generated is unknown to the learner.

Decision Making Kidney Function +2

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data

no code implementations23 Jul 2018 Yanbo Xu, Siddharth Biswal, Shriprasad R Deshpande, Kevin O Maher, Jimeng Sun

With the improvement of medical data capturing, vast amount of continuous patient monitoring data, e. g., electrocardiogram (ECG), real-time vital signs and medications, become available for clinical decision support at intensive care units (ICUs).

Decompensation

Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions

no code implementations11 Nov 2020 Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman

For many kinds of interventions, such as a new advertisement, marketing intervention, or feature recommendation, it is important to target a specific subset of people for maximizing its benefits at minimum cost or potential harm.

Causal Inference Marketing

UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification

no code implementations26 Oct 2022 Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov

It achieves within 0. 1% accuracy from the highest-performing multi-class baseline, while saving close to 20X on spatio-temporal cost of inference and earlier (3. 5hrs) disease onset prediction.

Image Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.