b'Yang Chen'

LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT

Compressed sensing (CS) computed tomography has been proven to be import...
12/13/2020 ∙ by Yi Zhang, et al. ∙ 0 ∙ share

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Matrix Completion Methods for the Total Electron Content Video Reconstruction

The total electron content (TEC) maps can be used to estimate the signal...
12/03/2020 ∙ by Hu Sun, et al. ∙ 0 ∙ share

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Model Selection for Cross-Lingual Transfer using a Learned Scoring Function

Transformers that are pre-trained on multilingual text corpora, such as,...
10/13/2020 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model

Dose reduction in computed tomography (CT) is essential for decreasing r...
09/27/2020 ∙ by Zhuonan He, et al. ∙ 21 ∙ share

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FTN: Foreground-Guided Texture-Focused Person Re-Identification

Person re-identification (Re-ID) is a challenging task as persons are of...
09/24/2020 ∙ by Donghaisheng Liu, et al. ∙ 5 ∙ share

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Remote sensing image fusion based on Bayesian GAN

Remote sensing image fusion technology (pan-sharpening) is an important ...
09/20/2020 ∙ by Junfu Chen, et al. ∙ 0 ∙ share

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Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection

In the information age, a secure and stable network environment is essen...
08/28/2020 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Homotopic Gradients of Generative Density Priors for MR Image Reconstruction

Deep learning, particularly the generative model, has demonstrated treme...
08/14/2020 ∙ by Cong Quan, et al. ∙ 23 ∙ share

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Self-supervised Light Field View Synthesis Using Cycle Consistency

High angular resolution is advantageous for practical applications of li...
08/12/2020 ∙ by Yang Chen, et al. ∙ 10 ∙ share

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A Study of Efficient Light Field Subsampling and Reconstruction Strategies

Limited angular resolution is one of the main obstacles for practical ap...
08/11/2020 ∙ by Yang Chen, et al. ∙ 15 ∙ share

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Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields

Depth map estimation is a crucial task in computer vision, and new appro...
08/11/2020 ∙ by Yang Chen, et al. ∙ 1 ∙ share

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Control Interface for Hands-free Navigation of Standing Mobility Vehicles based on Upper-Body Natural Movements

In this paper, we propose and evaluate a novel human-machine interface (...
08/03/2020 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images

Deep learning-based medical image registration and segmentation joint mo...
08/03/2020 ∙ by Yuting He, et al. ∙ 12 ∙ share

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SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization

Nowadays, as data becomes increasingly complex and distributed, data ana...
07/30/2020 ∙ by Jiazhi Xia, et al. ∙ 0 ∙ share

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A Latent Mixture Model for Heterogeneous Causal Mechanisms in Mendelian Randomization

Mendelian Randomization (MR) is a popular method in epidemiology and gen...
07/13/2020 ∙ by Daniel Iong, et al. ∙ 0 ∙ share

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Marginal loss and exclusion loss for partially supervised multi-organ segmentation

Annotating multiple organs in medical images is both costly and time-con...
07/08/2020 ∙ by Gonglei Shi, et al. ∙ 16 ∙ share

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Progressively Unfreezing Perceptual GAN

Generative adversarial networks (GANs) are widely used in image generati...
06/18/2020 ∙ by Jinxuan Sun, et al. ∙ 0 ∙ share

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Niose-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer

Recent end-to-end deep neural networks for disparity regression have ach...
05/18/2020 ∙ by Yang Chen, et al. ∙ 7 ∙ share

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Learning Generalized Spoof Cues for Face Anti-spoofing

Many existing face anti-spoofing (FAS) methods focus on modeling the dec...
05/08/2020 ∙ by Haocheng Feng, et al. ∙ 0 ∙ share

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A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks

The Arabic language is a morphological rich language, posing many challe...
04/30/2020 ∙ by Wuwei Lan, et al. ∙ 0 ∙ share

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TPPO: A Novel Trajectory Predictor with Pseudo Oracle

Forecasting pedestrian trajectories in dynamic scenes remains a critical...
02/04/2020 ∙ by Biao Yang, et al. ∙ 4 ∙ share

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A Novel Graph based Trajectory Predictor with Pseudo Oracle

Pedestrian trajectory prediction in dynamic scenes remains a challenging...
02/02/2020 ∙ by Biao Yang, et al. ∙ 7 ∙ share

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Quantifying Observed Prior Impact

We distinguish two questions (i) how much information does the prior con...
01/29/2020 ∙ by David E. Jones, et al. ∙ 0 ∙ share

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Data Techniques For Online End-to-end Speech Recognition

Practitioners often need to build ASR systems for new use cases in a sho...
01/24/2020 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Semi-supervised ASR by End-to-end Self-training

While deep learning based end-to-end automatic speech recognition (ASR) ...
01/24/2020 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Geometric Conditions for the Discrepant Posterior Phenomenon and Connections to Simpson's Paradox

The discrepant posterior phenomenon (DPP) is a counterintuitive phenomen...
01/23/2020 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Active Learning over DNN: Automated Engineering Design Optimization for Fluid Dynamics Based on Self-Simulated Dataset

Optimizing fluid-dynamic performance is an important engineering task. T...
01/18/2020 ∙ by Yang Chen, et al. ∙ 19 ∙ share

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Interpreting LSTM Prediction on Solar Flare Eruption with Time-series Clustering

We conduct a post hoc analysis of solar flare predictions made by a Long...
12/27/2019 ∙ by Hu Sun, et al. ∙ 12 ∙ share

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Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions

Despite continuous efforts to build and update network infrastructure, m...
12/03/2019 ∙ by Qinge Xie, et al. ∙ 0 ∙ share

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"How do urban incidents affect traffic speed?" A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction

Accurate traffic speed prediction is an important and challenging topic ...
12/03/2019 ∙ by Qinge Xie, et al. ∙ 0 ∙ share

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Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019

This notebook paper presents an overview and comparative analysis of our...
10/08/2019 ∙ by Yingwei Pan, et al. ∙ 0 ∙ share

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NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques

Quantization has emerged to be an effective way to significantly boost t...
10/01/2019 ∙ by Wenlei Bao, et al. ∙ 0 ∙ share

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Dirichlet Depths for Point Process

Statistical depths have been well studied for multivariate and functiona...
09/16/2019 ∙ by Kai Qi, et al. ∙ 0 ∙ share

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Phase retrieval of complex and vector-valued functions

The phase retrieval problem in the classical setting is to reconstruct r...
09/04/2019 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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EntEval: A Holistic Evaluation Benchmark for Entity Representations

Rich entity representations are useful for a wide class of problems invo...
08/31/2019 ∙ by Mingda Chen, et al. ∙ 0 ∙ share

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Mocycle-GAN: Unpaired Video-to-Video Translation

Unsupervised image-to-image translation is the task of translating an im...
08/26/2019 ∙ by Yang Chen, et al. ∙ 19 ∙ share

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An overlapping-free leaf segmentation method for plant point clouds

Automatic leaf segmentation, as well as identification and classificatio...
08/12/2019 ∙ by Dawei Li, et al. ∙ 6 ∙ share

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PoMo: Generating Entity-Specific Post-Modifiers in Context

We introduce entity post-modifier generation as an instance of a collabo...
04/05/2019 ∙ by Jun Seok Kang, et al. ∙ 0 ∙ share

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Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation

Federated learning obtains a central model on the server by aggregating ...
03/18/2019 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Student's t-Generative Adversarial Networks

Generative Adversarial Networks (GANs) have a great performance in image...
11/06/2018 ∙ by Jinxuan Sun, et al. ∙ 0 ∙ share

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Structure Learning of Deep Networks via DNA Computing Algorithm

Convolutional Neural Network (CNN) has gained state-of-the-art results i...
10/25/2018 ∙ by Guoqiang Zhong, et al. ∙ 0 ∙ share

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Continuous Learning of Context-dependent Processing in Neural Networks

Deep artificial neural networks (DNNs) are powerful tools for recognitio...
09/29/2018 ∙ by Guanxiong Zeng, et al. ∙ 0 ∙ share

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Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations

Air pollution poses a serious threat to human health as well as economic...
09/11/2018 ∙ by Hao Wang, et al. ∙ 0 ∙ share

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Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

Structure-preserved denoising of 3-D magnetic resonance images (MRI) is ...
08/12/2018 ∙ by Maosong Ran, et al. ∙ 0 ∙ share

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Powerful genome-wide design and robust statistical inference in two-sample summary-data Mendelian randomization

Mendelian randomization (MR) uses genetic variants as instrumental varia...
04/19/2018 ∙ by Qingyuan Zhao, et al. ∙ 0 ∙ share

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A genome-wide design and an empirical partially Bayes approach to increase the power of Mendelian randomization, with application to the effect of blood lipids on cardiovascula

Mendelian randomization (MR) is an instrumental variable method of estim...
04/19/2018 ∙ by Qingyuan Zhao, et al. ∙ 0 ∙ share

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Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage

Calibration data are often obtained by observing several well-understood...
11/26/2017 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Souper: A Synthesizing Superoptimizer

If we can automatically derive compiler optimizations, we might be able ...
11/13/2017 ∙ by Raimondas Sasnauskas, et al. ∙ 0 ∙ share

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MomentsNet: a simple learning-free method for binary image recognition

In this paper, we propose a new simple and learning-free deep learning n...
02/22/2017 ∙ by Jiasong Wu, et al. ∙ 0 ∙ share

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Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Given the potential X-ray radiation risk to the patient, low-dose CT has...
02/01/2017 ∙ by Hu Chen, et al. ∙ 0 ∙ share

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Yang Chen

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