Shuai Zheng

Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes

BERT has recently attracted a lot of attention in natural language under...
06/24/2020 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Graph representation learning aims to encode all nodes of a graph into l...
12/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Manufacturing Dispatching using Reinforcement and Transfer Learning

Efficient dispatching rule in manufacturing industry is key to ensure pr...
10/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Generative Adversarial Networks for Failure Prediction

Prognostics and Health Management (PHM) is an emerging engineering disci...
10/04/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Edge Heuristic GAN for Non-uniform Blind Deblurring

Non-uniform blur, mainly caused by camera shake and motions of multiple ...
07/11/2019 ∙ by Shuai Zheng, et al. ∙ 2 ∙ share

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GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

We present GluonCV and GluonNLP, the deep learning toolkits for computer...
07/09/2019 ∙ by Jian Guo, et al. ∙ 5 ∙ share

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Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback

Communication overhead is a major bottleneck hampering the scalability o...
05/27/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning

Stochastic methods with coordinate-wise adaptive stepsize (such as RMSpr...
05/23/2019 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Remaining Useful Life Estimation Using Functional Data Analysis

Remaining Useful Life (RUL) of an equipment or one of its components is ...
04/12/2019 ∙ by Qiyao Wang, et al. ∙ 0 ∙ share

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Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback

In this paper, we introduce an attribute-based interactive image search ...
09/24/2018 ∙ by Bryan A. Plummer, et al. ∙ 0 ∙ share

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ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

Understanding clothes from a single image has strong commercial and cult...
07/03/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data

Variance reduction has been commonly used in stochastic optimization. It...
06/08/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Regularized Singular Value Decomposition and Application to Recommender System

Singular value decomposition (SVD) is the mathematical basis of principa...
04/13/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Minimal Support Vector Machine

Support Vector Machine (SVM) is an efficient classification approach, wh...
04/06/2018 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Fast End-to-End Trainable Guided Filter

Image processing and pixel-wise dense prediction have been advanced by h...
03/15/2018 ∙ by Huikai Wu, et al. ∙ 0 ∙ share

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Conditional Image-Text Embedding Networks

This paper presents an approach for grounding phrases in images which jo...
11/22/2017 ∙ by Bryan A. Plummer, et al. ∙ 0 ∙ share

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GP-GAN: Towards Realistic High-Resolution Image Blending

Recent advances in generative adversarial networks (GANs) have shown pro...
03/21/2017 ∙ by Huikai Wu, et al. ∙ 0 ∙ share

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Learning Arbitrary Pairwise Potentials in CRFs for Semantic Segmentation

Are we using the right potential functions in the Conditional Random Fie...
01/24/2017 ∙ by Måns Larsson, et al. ∙ 0 ∙ share

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A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification

Linear Discriminant Analysis (LDA) is a widely-used supervised dimension...
10/14/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Kernel Alignment Inspired Linear Discriminant Analysis

Kernel alignment measures the degree of similarity between two kernels. ...
10/14/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Fully-Trainable Deep Matching

Deep Matching (DM) is a popular high-quality method for quasi-dense imag...
09/12/2016 ∙ by James Thewlis, et al. ∙ 0 ∙ share

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Accelerating Deep Learning with Shrinkage and Recall

Deep Learning is a very powerful machine learning model. Deep Learning t...
05/04/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Stochastic Variance-Reduced ADMM

The alternating direction method of multipliers (ADMM) is a powerful opt...
04/24/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Fast Nonsmooth Regularized Risk Minimization with Continuation

In regularized risk minimization, the associated optimization problem be...
02/25/2016 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Conditional Random Fields as Recurrent Neural Networks

Pixel-level labelling tasks, such as semantic segmentation, play a centr...
02/11/2015 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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ImageSpirit: Verbal Guided Image Parsing

Humans describe images in terms of nouns and adjectives while algorithms...
10/16/2013 ∙ by Ming-Ming Cheng, et al. ∙ 0 ∙ share

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Translation-Invariant Representation for Cumulative Foot Pressure Images

Human can be distinguished by different limb movements and unique ground...
10/26/2010 ∙ by Shuai Zheng, et al. ∙ 0 ∙ share

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Shuai Zheng

Featured Co-authors

Philip H. S. Torr

Andrea Vedaldi

Fan Yang

Ming-Ming Cheng

Yao Zhao

Tieniu Tan

Jian Cheng

Mu Li

Heng Huang

Hang Zhang

Kaiqi Huang

Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes

Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Manufacturing Dispatching using Reinforcement and Transfer Learning

Generative Adversarial Networks for Failure Prediction

Edge Heuristic GAN for Non-uniform Blind Deblurring

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback

Blockwise Adaptivity: Faster Training and Better Generalization in Deep Learning

Remaining Useful Life Estimation Using Functional Data Analysis

Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data

Regularized Singular Value Decomposition and Application to Recommender System

Minimal Support Vector Machine

Fast End-to-End Trainable Guided Filter

Conditional Image-Text Embedding Networks

GP-GAN: Towards Realistic High-Resolution Image Blending

Learning Arbitrary Pairwise Potentials in CRFs for Semantic Segmentation

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification

Kernel Alignment Inspired Linear Discriminant Analysis

Fully-Trainable Deep Matching

Accelerating Deep Learning with Shrinkage and Recall

Stochastic Variance-Reduced ADMM

Fast Nonsmooth Regularized Risk Minimization with Continuation

Conditional Random Fields as Recurrent Neural Networks

ImageSpirit: Verbal Guided Image Parsing

Translation-Invariant Representation for Cumulative Foot Pressure Images