Search Results for author: Chao Yang

Found 57 papers, 13 papers with code

A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition

no code implementations25 Oct 2021 Chuanfu Xiao, Chao Yang

We propose a novel rank-adaptive higher-order orthogonal iteration (HOOI) algorithm to compute the truncated Tucker decomposition of higher-order tensors with a given error tolerance, and prove that the method is locally optimal and monotonically convergent.

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

1 code implementation7 Oct 2021 BinBin Zhang, Hang Lv, Pengcheng Guo, Qijie Shao, Chao Yang, Lei Xie, Xin Xu, Hui Bu, Xiaoyu Chen, Chenchen Zeng, Di wu, Zhendong Peng

In this paper, we present WenetSpeech, a multi-domain Mandarin corpus consisting of 10000+ hours high-quality labeled speech, 2400+ hours weakly labeled speech, and about 10000 hours unlabeled speech, with 22400+ hours in total.

Optical Character Recognition Speech Recognition +1

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

no code implementations2 Sep 2021 Chao Yang, Debajyoti Chowdhury, Zhenmiao Zhang, William K. Cheung, Aiping Lu, Zhao Xiang Bian, Lu Zhang

Metagenomics has equipped us with new avenues of investigating the microbiome, from studying a single species to a complex community in a dynamic ecosystem.

Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant

no code implementations5 Jul 2021 Zhiyi Lin, Chunyue Song, Jun Zhao, Chao Yang, Huan Yin

Intra-day economic dispatch of an integrated microgrid is a fundamental requirement to integrate distributed generators.

Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation

no code implementations23 Jun 2021 Xiaofeng Liu, Fangxu Xing, Chao Yang, Georges El Fakhri, Jonghye Woo

To alleviate this, in this work, we target source free UDA for segmentation, and propose to adapt an ``off-the-shelf" segmentation model pre-trained in the source domain to the target domain, with an adaptive batch-wise normalization statistics adaptation framework.

Medical Image Segmentation Unsupervised Domain Adaptation

SAS: Self-Augmented Strategy for Language Model Pre-training

no code implementations14 Jun 2021 Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu

The seminal contextualized augmentation recently proposed by the ELECTRA requires a separate generator, which leads to extra computation cost as well as the challenge in adjusting the capability of its generator relative to that of the other model component(s).

Data Augmentation Language Modelling +1

U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition

1 code implementation10 Jun 2021 Di wu, BinBin Zhang, Chao Yang, Zhendong Peng, Wenjing Xia, Xiaoyu Chen, Xin Lei

On the experiment of AISHELL-1, we achieve a 4. 63\% character error rate (CER) with a non-streaming setup and 5. 05\% with a streaming setup with 320ms latency by U2++.

Data Augmentation Speech Recognition

Composite Localization for Human Pose Estimation

no code implementations15 May 2021 ZiFan Chen, Xin Qin, Chao Yang, Li Zhang

This work proposes a novel deep learning framework for human pose estimation called composite localization to divide the complex learning objective into two simpler ones: a sparse heatmap to find the keypoint's approximate location and two short-distance offsetmaps to obtain its final precise coordinates.

Pose Estimation

FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting

no code implementations6 May 2021 Bi-Ying Yan, Chao Yang, Feng Chen, Kohei Takeda, Changjun Wang

To the best of our knowledge, this is the first network architecture with flow and deformation separation to model the evolution of radar echoes for precipitation nowcasting.

Optical Flow Estimation

WeNet: Production oriented Streaming and Non-streaming End-to-End Speech Recognition Toolkit

1 code implementation2 Feb 2021 Zhuoyuan Yao, Di wu, Xiong Wang, BinBin Zhang, Fan Yu, Chao Yang, Zhendong Peng, Xiaoyu Chen, Lei Xie, Xin Lei

In this paper, we propose an open source, production first, and production ready speech recognition toolkit called WeNet in which a new two-pass approach is implemented to unify streaming and non-streaming end-to-end (E2E) speech recognition in a single model.

End-To-End Speech Recognition Speech Recognition

Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology

no code implementations17 Jan 2021 Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Georges ElFakhri, Jonghye Woo

Deformable registration of magnetic resonance images between patients with brain tumors and healthy subjects has been an important tool to specify tumor geometry through location alignment and facilitate pathological analysis.

Brain Tumor Segmentation Image Inpainting +3

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI

no code implementations13 Jan 2021 Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo

Deep learning has great potential for accurate detection and classification of diseases with medical imaging data, but the performance is often limited by the number of training datasets and memory requirements.

Classification Dimensionality Reduction +1

Learning content and context with language bias for Visual Question Answering

1 code implementation21 Dec 2020 Chao Yang, Su Feng, Dongsheng Li, HuaWei Shen, Guoqing Wang, Bin Jiang

Many works concentrate on how to reduce language bias which makes models answer questions ignoring visual content and language context.

Question Answering Visual Question Answering

Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

5 code implementations10 Dec 2020 BinBin Zhang, Di wu, Zhuoyuan Yao, Xiong Wang, Fan Yu, Chao Yang, Liyong Guo, Yaguang Hu, Lei Xie, Xin Lei

In this paper, we present a novel two-pass approach to unify streaming and non-streaming end-to-end (E2E) speech recognition in a single model.

Speech Recognition

CoRe: An Efficient Coarse-refined Training Framework for BERT

no code implementations27 Nov 2020 Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin

In the second phase, we transform the trained relaxed BERT model into the original BERT and further retrain the model.

Progressively Stacking 2.0: A Multi-stage Layerwise Training Method for BERT Training Speedup

no code implementations27 Nov 2020 Cheng Yang, Shengnan Wang, Chao Yang, Yuechuan Li, Ru He, Jingqiao Zhang

In BERT training, the backward computation is much more time-consuming than the forward computation, especially in the distributed training setting in which the backward computation time further includes the communication time for gradient synchronization.

Fault-Aware Robust Control via Adversarial Reinforcement Learning

no code implementations17 Nov 2020 Fan Yang, Chao Yang, Di Guo, Huaping Liu, Fuchun Sun

Robots have limited adaptation ability compared to humans and animals in the case of damage.

Fine-tuning

a-Tucker: Input-Adaptive and Matricization-Free Tucker Decomposition for Dense Tensors on CPUs and GPUs

no code implementations20 Oct 2020 Min Li, Chuanfu Xiao, Chao Yang

A mode-wise flexible Tucker decomposition algorithm is proposed to enable the switch of different solvers for the factor matrices and core tensor, and a machine-learning adaptive solver selector is applied to automatically cope with the variations of both the input data and the hardware.

Gated Res2Net for Multivariate Time Series Analysis

1 code implementation19 Sep 2020 Chao Yang, Mingxing Jiang, Zhongwen Guo, Yu-An Liu

Through the utilization of gated mechanism, the network can control the process of information sending hence can better capture and utilize the both the temporal information and the correlations between the feature maps.

Time Series Time Series Analysis

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

1 code implementation ECCV 2020 Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang

We use CNN features from the deep and shallow layers of the encoder to represent structures and textures of an input image, respectively.

Image Inpainting

On the Efficient Evaluation of the Exchange Correlation Potential on Graphics Processing Unit Clusters

1 code implementation7 Jul 2020 David B. Williams-Young, Wibe A. de Jong, Hubertus J. J. van Dam, Chao Yang

We demonstrate the performance and scalability of the implementation of the purposed method in the NWChemEx software package by comparing to the existing scalable CPU XC integration in NWChem.

Computational Physics Distributed, Parallel, and Cluster Computing Chemical Physics

Improving Co-registration for Sentinel-1 SAR and Sentinel-2 Optical images

no code implementations22 May 2020 Yuanxin Ye, Chao Yang, Bai Zhu, Youquan He, Huarong Jia

Finally, the obtained correspondences are employed to measure the misregistration shifts between the images.

Fast and Robust Registration of Aerial Images and LiDAR data Based on Structrual Features and 3D Phase Correlation

no code implementations21 Apr 2020 Bai Zhu, Yuanxin Ye, Chao Yang, Liang Zhou, Huiyu Liu, Yungang Cao

Subsequently, a robust structural feature descriptor is build based on dense gradient features, and the 3D phase correlation is used to detect control points (CPs) between aerial images and LiDAR data in the frequency domain, where the image matching is accelerated by the 3D Fast Fourier Transform (FFT).

PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries

no code implementations14 Apr 2020 Hailong Sheng, Chao Yang

We present PFNN, a penalty-free neural network method, to efficiently solve a class of second-order boundary-value problems on complex geometries.

Efficient Alternating Least Squares Algorithms for Low Multilinear Rank Approximation of Tensors

no code implementations6 Apr 2020 Chuanfu Xiao, Chao Yang, Min Li

In this paper, we propose a new class of truncated HOSVD algorithms based on alternating least squares (ALS) for efficiently computing the low multilinear rank approximation of tensors.

One-Shot Domain Adaptation For Face Generation

no code implementations CVPR 2020 Chao Yang, Ser-Nam Lim

To generate images of the same distribution, we introduce a style-mixing technique that transfers the low-level statistics from the target to faces randomly generated with the model.

Domain Adaptation Face Generation

One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block

no code implementations18 Dec 2019 Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang

However, the two-stage architecture is time-consuming, the contextual information lack high-level semantics and ignores both the semantic relevance and distance information of hole's feature patches, these limitations result in blurry textures and distorted structures of final result.

Image Inpainting Texture Synthesis

Unconstrained Facial Expression Transfer using Style-based Generator

1 code implementation12 Dec 2019 Chao Yang, Ser-Nam Lim

Given two face images, our method can create plausible results that combine the appearance of one image and the expression of the other.

Image Manipulation

Towards Disentangled Representations for Human Retargeting by Multi-view Learning

no code implementations12 Dec 2019 Chao Yang, Xiaofeng Liu, Qingming Tang, C. -C. Jay Kuo

We study the problem of learning disentangled representations for data across multiple domains and its applications in human retargeting.

MULTI-VIEW LEARNING

Boundary-Aware Salient Object Detection via Recurrent Two-Stream Guided Refinement Network

no code implementations11 Dec 2019 Fangting Lin, Chao Yang, Huizhou Li, Bin Jiang

Recent deep learning based salient object detection methods which utilize both saliency and boundary features have achieved remarkable performance.

RGB Salient Object Detection Salient Object Detection

Constrained R-CNN: A general image manipulation detection model

no code implementations19 Nov 2019 Chao Yang, Huizhou Li, Fangting Lin, Bin Jiang, Hao Zhao

Finally, the coarse localization information guides the model to further learn the finer local features and segment out the tampered region.

General Classification Image Forensics +3

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance

no code implementations16 Nov 2019 Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu

In this paper, we study Reinforcement Learning from Demonstrations (RLfD) that improves the exploration efficiency of Reinforcement Learning (RL) by providing expert demonstrations.

Context-Integrated and Feature-Refined Network for Lightweight Object Parsing

no code implementations26 Jul 2019 Bin Jiang, Wenxuan Tu, Chao Yang, Junsong Yuan

The core components of CIFReNet are the Long-skip Refinement Module (LRM) and the Multi-scale Context Integration Module (MCIM).

Scene Parsing Semantic Segmentation

Coherent Semantic Attention for Image Inpainting

1 code implementation ICCV 2019 Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang

The latest deep learning-based approaches have shown promising results for the challenging task of inpainting missing regions of an image.

Image Inpainting

Deep learning: Extrapolation tool for ab initio nuclear theory

no code implementations6 Oct 2018 Gianina Alina Negoita, James P. Vary, Glenn R. Luecke, Pieter Maris, Andrey M. Shirokov, Ik Jae Shin, Youngman Kim, Esmond G. Ng, Chao Yang, Matthew Lockner, Gurpur M. Prabhu

The NCSM and other approaches require an extrapolation of the results obtained in a finite basis space to the infinite basis space limit and assessment of the uncertainty of those extrapolations.

A Survey on Deep Transfer Learning

no code implementations6 Aug 2018 Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains.

General Classification Transfer Learning

PortraitGAN for Flexible Portrait Manipulation

no code implementations5 Jul 2018 Jiali Duan, Xiaoyuan Guo, Yuhang Song, Chao Yang, C. -C. Jay Kuo

Previous methods have dealt with discrete manipulation of facial attributes such as smile, sad, angry, surprise etc, out of canonical expressions and they are not scalable, operating in single modality.

SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting

1 code implementation9 May 2018 Yuhang Song, Chao Yang, Yeji Shen, Peng Wang, Qin Huang, C. -C. Jay Kuo

In this paper, we focus on image inpainting task, aiming at recovering the missing area of an incomplete image given the context information.

Image Inpainting Interactive Segmentation +1

Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart

no code implementations23 Mar 2018 Chao Yang, Yuhang Song, Xiaofeng Liu, Qingming Tang, C. -C. Jay Kuo

We present a new approach to address the difficulty of training a very deep generative model to synthesize high-quality photo-realistic inpainting.

Facial Inpainting

Deep Learning: A Tool for Computational Nuclear Physics

no code implementations8 Mar 2018 Gianina Alina Negoita, Glenn R. Luecke, James P. Vary, Pieter Maris, Andrey M. Shirokov, Ik Jae Shin, Youngman Kim, Esmond G. Ng, Chao Yang

In recent years, several successful applications of the Artificial Neural Networks (ANNs) have emerged in nuclear physics and high-energy physics, as well as in biology, chemistry, meteorology, and other fields of science.

Computational Physics Nuclear Theory

Contextual-based Image Inpainting: Infer, Match, and Translate

no code implementations ECCV 2018 Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C. -C. Jay Kuo

We study the task of image inpainting, which is to fill in the missing region of an incomplete image with plausible contents.

Image Inpainting Translation

Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks

no code implementations ICCV 2017 Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, Ulrich Neumann

The 3D-ED-GAN is a 3D convolutional neural network trained with a generative adversarial paradigm to fill missing 3D data in low-resolution.

Realistic Dynamic Facial Textures From a Single Image Using GANs

no code implementations ICCV 2017 Kyle Olszewski, Zimo Li, Chao Yang, Yi Zhou, Ronald Yu, Zeng Huang, Sitao Xiang, Shunsuke Saito, Pushmeet Kohli, Hao Li

By retargeting the PCA expression geometry from the source, as well as using the newly inferred texture, we can both animate the face and perform video face replacement on the source video using the target appearance.

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

1 code implementation CVPR 2017 Chao Yang, Xin Lu, Zhe Lin, Eli Shechtman, Oliver Wang, Hao Li

Recent advances in deep learning have shown exciting promise in filling large holes in natural images with semantically plausible and context aware details, impacting fundamental image manipulation tasks such as object removal.

Image Inpainting Image Manipulation

Symmetry-aware Depth Estimation using Deep Neural Networks

no code implementations20 Apr 2016 Guilin Liu, Chao Yang, Zimo Li, Duygu Ceylan, Qi-Xing Huang

Due to the abundance of 2D product images from the Internet, developing efficient and scalable algorithms to recover the missing depth information is central to many applications.

Depth Estimation

Exact Hybrid Covariance Thresholding for Joint Graphical Lasso

no code implementations7 Mar 2015 Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu

This paper proposes a novel hybrid covariance thresholding algorithm that can effectively identify zero entries in the precision matrices and split a large joint graphical lasso problem into small subproblems.

Low-rank SIFT: An Affine Invariant Feature for Place Recognition

no code implementations7 Aug 2014 Chao Yang, Shengnan Caih, Jingdong Wang, Long Quan

As an extension of SIFT, our method seeks to add prior to solve the ill-posed affine parameter estimation problem and normalizes them directly, and is applicable to objects with regular structures.

Feature Selection Translation

Feature selection for classification with class-separability strategy and data envelopment analysis

no code implementations6 May 2014 Yishi Zhang, Chao Yang, Anrong Yang, Chan Xiong, Xingchi Zhou, Zigang Zhang

In this paper, a novel feature selection method is presented, which is based on Class-Separability (CS) strategy and Data Envelopment Analysis (DEA).

Feature Selection General Classification

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