Search Results for author: Yu Deng

Found 16 papers, 6 papers with code

GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation

no code implementations16 Dec 2021 Yu Deng, Jiaolong Yang, Jianfeng Xiang, Xin Tong

3D-aware image generative modeling aims to generate 3D-consistent images with explicitly controllable camera poses.

3D-Aware Image Synthesis Face Generation +1

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

no code implementations31 Oct 2021 Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa

Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human-computer interaction, that measure and improve our daily lives.

Activity Recognition

BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients

no code implementations19 Mar 2021 Yun Zhao, Qinghang Hong, Xinlu Zhang, Yu Deng, Yuqing Wang, Linda Petzold

However, there is a lack of deep learning methods that can model the relationship between measurements, clinical notes and mortality outcomes.

Mortality Prediction Survival Analysis

A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images

no code implementations3 Feb 2021 Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou

In this study, we proposed an approach based on deep learning for the automatic extraction of the periosteal and endosteal contours of proximal femur in order to differentiate cortical and trabecular bone compartments.

Interactive Segmentation

Spread Mechanism and Influence Measurement of Online Rumors in China During the COVID-19 Pandemic

no code implementations4 Dec 2020 Yiou Lin, Hang Lei, Yu Deng

The search frequency of the rumor is used as an observation variable of new insiders.

Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence

1 code implementation CVPR 2021 Yu Deng, Jiaolong Yang, Xin Tong

We propose a novel Deformed Implicit Field (DIF) representation for modeling 3D shapes of a category and generating dense correspondences among shapes.

Technical Question Answering across Tasks and Domains

1 code implementation NAACL 2021 Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang

In this paper, we propose a novel framework of deep transfer learning to effectively address technical QA across tasks and domains.

Question Answering Reading Comprehension +1

Crossing Variational Autoencoders for Answer Retrieval

no code implementations ACL 2020 Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang

Existing methods learned semantic representations with dual encoders or dual variational auto-encoders.

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study

no code implementations2 Apr 2019 Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhen-Xing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion, Jyotishman Pathak

While the NLP system showed high precision and recall measurements for four target concepts (aortic valve regurgitation, left atrium size at end systole, mitral valve regurgitation, tricuspid valve regurgitation) across all sites, we found moderate or poor results for the remaining concepts and the NLP system performance varied between individual sites.

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

1 code implementation20 Mar 2019 Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, Xin Tong

Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency. However, training deep neural networks typically requires a large volume of data, whereas face images with ground-truth 3D face shapes are scarce.

3D Face Reconstruction

Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms

no code implementations15 Nov 2018 Yizhen Zhong, Luke Rasmussen, Yu Deng, Jennifer Pacheco, Maureen Smith, Justin Starren, Wei-Qi Wei, Peter Speltz, Joshua Denny, Nephi Walton, George Hripcsak, Christopher G. Chute, Yuan Luo

Good classification accuracy with simple features demonstrated the attribution coherence and the feasibility of automatic identification of design patterns.

General Classification

Natural Language Processing for EHR-Based Computational Phenotyping

no code implementations13 Jun 2018 Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo

This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping.

Computational Phenotyping

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