Yang Chen

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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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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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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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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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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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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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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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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Denoising Hyperspectral Image with Non-i.i.d. Noise Structure

Hyperspectral image (HSI) denoising has been attracting much research at...
02/01/2017 ∙ by Yang Chen, et al. ∙ 0 ∙ share

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Blur Robust Optical Flow using Motion Channel

It is hard to estimate optical flow given a realworld video sequence wit...
03/07/2016 ∙ by Wenbin Li, et al. ∙ 0 ∙ share

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Low-rank Matrix Factorization under General Mixture Noise Distributions

Many computer vision problems can be posed as learning a low-dimensional...
01/06/2016 ∙ by Xiangyong Cao, et al. ∙ 0 ∙ share

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Color Image Classification via Quaternion Principal Component Analysis Network

The Principal Component Analysis Network (PCANet), which is one of the r...
03/05/2015 ∙ by Rui Zeng, 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Yang Chen

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