Ming Yan

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Assistant Professor, Department of Computational Mathematics, Science and Engineering; Department of Mathematics at Michigan State University

RCT: Resource Constrained Training for Edge AI

Neural networks training on edge terminals is essential for edge AI comp...
03/26/2021 ∙ by Tian Huang, et al. ∙ 0 ∙ share

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SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels

Vision-language pre-training (VLP) on large-scale image-text pairs has r...
03/14/2021 ∙ by Chenliang Li, et al. ∙ 0 ∙ share

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CoRe: An Efficient Coarse-refined Training Framework for BERT

In recent years, BERT has made significant breakthroughs on many natural...
11/27/2020 ∙ by Cheng Yang, et al. ∙ 3 ∙ share

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Deep Neural Network Test Coverage: How Far Are We?

DNN testing is one of the most effective methods to guarantee the qualit...
10/10/2020 ∙ by Junjie Chen, et al. ∙ 0 ∙ share

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Deep Neural Networks with Short Circuits for Improved Gradient Learning

Deep neural networks have achieved great success both in computer vision...
09/23/2020 ∙ by Ming Yan, et al. ∙ 0 ∙ share

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Fast algorithms for robust principal component analysis with an upper bound on the rank

The robust principal component analysis (RPCA) decomposes a data matrix ...
08/18/2020 ∙ by Ningyu Sha, et al. ∙ 36 ∙ share

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A Novel Regularization Based on the Error Function for Sparse Recovery

Regularization plays an important role in solving ill-posed problems by ...
07/06/2020 ∙ by Weihong Guo, et al. ∙ 0 ∙ share

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Variational Asymptotic Preserving Scheme for the Vlasov-Poisson-Fokker-Planck System

We design a variational asymptotic preserving scheme for the Vlasov-Pois...
07/03/2020 ∙ by José A. Carrillo, et al. ∙ 0 ∙ share

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Linear Convergent Decentralized Optimization with Compression

Communication compression has been extensively adopted to speed up large...
07/01/2020 ∙ by Xiaorui Liu, et al. ∙ 0 ∙ share

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Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm

Convolutional Neural Networks (CNN) have gained great success in many ar...
06/23/2020 ∙ by Xueli Xiao, et al. ∙ 0 ∙ share

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A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features

This work studies multi-agent sharing optimization problems with the obj...
06/15/2020 ∙ by Sulaiman A. Alghunaim, et al. ∙ 0 ∙ share

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PALM: Pre-training an Autoencoding Autoregressive Language Model for Context-conditioned Generation

Self-supervised pre-training has emerged as a powerful technique for nat...
04/14/2020 ∙ by Bin Bi, et al. ∙ 0 ∙ share

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Computing the 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences of period of twin prime products

This paper contributes to compute 2-adic complexity of two classes of Di...
12/13/2019 ∙ by Ming Yan, et al. ∙ 0 ∙ share

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Manifold Denoising by Nonlinear Robust Principal Component Analysis

This paper extends robust principal component analysis (RPCA) to nonline...
11/10/2019 ∙ by He Lyu, et al. ∙ 0 ∙ share

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A Double Residual Compression Algorithm for Efficient Distributed Learning

Large-scale machine learning models are often trained by parallel stocha...
10/16/2019 ∙ by Xiaorui Liu, et al. ∙ 0 ∙ share

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Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

The ability of semantic reasoning over the sentence pair is essential fo...
09/08/2019 ∙ by Xingyi Cheng, et al. ∙ 0 ∙ share

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Incorporating External Knowledge into Machine Reading for Generative Question Answering

Commonsense and background knowledge is required for a QA model to answe...
09/06/2019 ∙ by Bin Bi, et al. ∙ 0 ∙ share

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StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding

Recently, the pre-trained language model, BERT (Devlin et al.(2018)Devli...
08/13/2019 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning

This paper focuses on how to take advantage of external relational knowl...
08/13/2019 ∙ by Jiangnan Xia, et al. ∙ 0 ∙ share

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On linear convergence of two decentralized algorithms

Decentralized algorithms solve multi-agent problems over a connected net...
06/17/2019 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Multi-granularity hierarchical attention fusion networks for reading comprehension and question answering

This paper describes a novel hierarchical attention network for reading ...
11/29/2018 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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A Deep Cascade Model for Multi-Document Reading Comprehension

A fundamental trade-off between effectiveness and efficiency needs to be...
11/28/2018 ∙ by Ming Yan, et al. ∙ 0 ∙ share

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Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties

Sign information is the key to overcoming the inevitable saturation erro...
09/12/2018 ∙ by Fan He, et al. ∙ 0 ∙ share

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D^2: Decentralized Training over Decentralized Data

While training a machine learning model using multiple workers, each of ...
03/19/2018 ∙ by Hanlin Tang, et al. ∙ 0 ∙ share

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A primal-dual algorithm with optimal stepsizes and its application in decentralized consensus optimization

We consider a primal-dual algorithm for minimizing f(x)+h(Ax) with diffe...
11/18/2017 ∙ by Zhi Li, et al. ∙ 0 ∙ share

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Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016

Personalized search has been a hot research topic for many years and has...
08/15/2017 ∙ by Chen Wu, et al. ∙ 0 ∙ share

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Exploring Outliers in Crowdsourced Ranking for QoE

Outlier detection is a crucial part of robust evaluation for crowdsource...
07/18/2017 ∙ by Qianqian Xu, et al. ∙ 0 ∙ share

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Nonconvex penalties with analytical solutions for one-bit compressive sensing

One-bit measurements widely exist in the real world, and they can be use...
06/04/2017 ∙ by Xiaolin Huang, et al. ∙ 0 ∙ share

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A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates

This paper considers the problem of decentralized optimization with a co...
04/25/2017 ∙ by Zhi Li, et al. ∙ 0 ∙ share

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Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction

When a measurement falls outside the quantization or measurable range, i...
01/03/2017 ∙ by Xiaolin Huang, et al. ∙ 0 ∙ share

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Coordinate Friendly Structures, Algorithms and Applications

This paper focuses on coordinate update methods, which are useful for so...
01/05/2016 ∙ by Zhimin Peng, et al. ∙ 0 ∙ share

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ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates

Finding a fixed point to a nonexpansive operator, i.e., x^*=Tx^*, abstra...
06/08/2015 ∙ by Zhimin Peng, et al. ∙ 0 ∙ share

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Pinball Loss Minimization for One-bit Compressive Sensing

The one-bit quantization can be implemented by one single comparator, wh...
05/14/2015 ∙ by Xiaolin Huang, et al. ∙ 0 ∙ share

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A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity

In this paper, we propose a variational multiphase image segmentation mo...
04/09/2015 ∙ by Fang Li, et al. ∙ 0 ∙ share

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The Continuity of Images by Transmission Imaging Revisited

Transmission imaging, as an important imaging technique widely used in a...
01/08/2014 ∙ by Zhitao Fan, et al. ∙ 0 ∙ share

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Restoration of Images Corrupted by Impulse Noise and Mixed Gaussian Impulse Noise using Blind Inpainting

This article studies the problem of image restoration of observed images...
04/04/2013 ∙ by Ming Yan, et al. ∙ 0 ∙ share

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Ming Yan

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