b'Ming Yan'

research

∙ 05/24/2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Large-scale pretrained foundation models have been an emerging paradigm ...

Chenliang Li, et al. ∙

research

∙ 03/29/2022

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

Visual grounding focuses on establishing fine-grained alignment between ...

Jiabo Ye, et al. ∙

research

∙ 01/01/2022

On the improved conditions for some primal-dual algorithms

The convex minimization of f(𝐱)+g(𝐱)+h(𝐀𝐱) over ℝ^n with differentiable ...

Yao Li, et al. ∙

research

∙ 11/17/2021

Achieving Human Parity on Visual Question Answering

The Visual Question Answering (VQA) task utilizes both visual image and ...

Ming Yan, et al. ∙

research

∙ 11/15/2021

Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data

Recent advancements in end-to-end speech synthesis have made it possible...

Zhu Li, et al. ∙

research

∙ 08/21/2021

Grid-VLP: Revisiting Grid Features for Vision-Language Pre-training

Existing approaches to vision-language pre-training (VLP) heavily rely o...

Ming Yan, et al. ∙

research

∙ 08/10/2021

Decentralized Composite Optimization with Compression

Decentralized optimization and communication compression have exhibited ...

Yao Li, et al. ∙

research

∙ 08/04/2021

ErrorCompensatedX: error compensation for variance reduced algorithms

Communication cost is one major bottleneck for the scalability for distr...

Hanlin Tang, et al. ∙

research

∙ 07/26/2021

Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs

In this work, we consider the decentralized optimization problem in whic...

Zhuoqing Song, et al. ∙

research

∙ 07/05/2021

Elastic Graph Neural Networks

While many existing graph neural networks (GNNs) have been proven to per...

Xiaorui Liu, et al. ∙

research

∙ 06/25/2021

Hessian informed mirror descent

Inspired by the recent paper (L. Ying, Mirror descent algorithms for min...

Li Wang, et al. ∙

research

∙ 06/14/2021

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks

In this paper, we propose two communication-efficient algorithms for dec...

Zhuoqing Song, et al. ∙

research

∙ 06/03/2021

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

Vision-language pre-training (VLP) on large-scale image-text pairs has a...

Haiyang Xu, et al. ∙

research

∙ 05/24/2021

StructuralLM: Structural Pre-training for Form Understanding

Large pre-trained language models achieve state-of-the-art results when ...

Chenliang Li, et al. ∙

research

∙ 03/26/2021

RCT: Resource Constrained Training for Edge AI

Neural networks training on edge terminals is essential for edge AI comp...

Tian Huang, et al. ∙

research

∙ 03/14/2021

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

Vision-language pre-training (VLP) on large-scale image-text pairs has r...

Chenliang Li, et al. ∙

research

∙ 11/27/2020

CoRe: An Efficient Coarse-refined Training Framework for BERT

In recent years, BERT has made significant breakthroughs on many natural...

Cheng Yang, et al. ∙

research

∙ 10/10/2020

Deep Neural Network Test Coverage: How Far Are We?

DNN testing is one of the most effective methods to guarantee the qualit...

Junjie Chen, et al. ∙

research

∙ 09/23/2020

Deep Neural Networks with Short Circuits for Improved Gradient Learning

Deep neural networks have achieved great success both in computer vision...

Ming Yan, et al. ∙

research

∙ 08/18/2020

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

The robust principal component analysis (RPCA) decomposes a data matrix ...

Ningyu Sha, et al. ∙

research

∙ 07/06/2020

A Novel Regularization Based on the Error Function for Sparse Recovery

Regularization plays an important role in solving ill-posed problems by ...

Weihong Guo, et al. ∙

research

∙ 07/03/2020

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

We design a variational asymptotic preserving scheme for the Vlasov-Pois...

José A. Carrillo, et al. ∙

research

∙ 07/01/2020

Linear Convergent Decentralized Optimization with Compression

Communication compression has been extensively adopted to speed up large...

Xiaorui Liu, et al. ∙

research

∙ 06/23/2020

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

Convolutional Neural Networks (CNN) have gained great success in many ar...

Xueli Xiao, et al. ∙

research

∙ 06/15/2020

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

This work studies multi-agent sharing optimization problems with the obj...

Sulaiman A. Alghunaim, et al. ∙

research

∙ 04/14/2020

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

Self-supervised pre-training has emerged as a powerful technique for nat...

Bin Bi, et al. ∙

research

∙ 12/13/2019

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...

Ming Yan, et al. ∙

research

∙ 11/10/2019

Manifold Denoising by Nonlinear Robust Principal Component Analysis

This paper extends robust principal component analysis (RPCA) to nonline...

He Lyu, et al. ∙

research

∙ 10/16/2019

A Double Residual Compression Algorithm for Efficient Distributed Learning

Large-scale machine learning models are often trained by parallel stocha...

Xiaorui Liu, et al. ∙

research

∙ 09/08/2019

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

The ability of semantic reasoning over the sentence pair is essential fo...

Xingyi Cheng, et al. ∙

research

∙ 09/06/2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering

Commonsense and background knowledge is required for a QA model to answe...

Bin Bi, et al. ∙

research

∙ 08/13/2019

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

Recently, the pre-trained language model, BERT (Devlin et al.(2018)Devli...

Wei Wang, et al. ∙

research

∙ 08/13/2019

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

This paper focuses on how to take advantage of external relational knowl...

Jiangnan Xia, et al. ∙

research

∙ 06/17/2019

On linear convergence of two decentralized algorithms

Decentralized algorithms solve multi-agent problems over a connected net...

Yao Li, et al. ∙

research

∙ 11/29/2018

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

This paper describes a novel hierarchical attention network for reading ...

Wei Wang, et al. ∙

research

∙ 11/28/2018

A Deep Cascade Model for Multi-Document Reading Comprehension

A fundamental trade-off between effectiveness and efficiency needs to be...

Ming Yan, et al. ∙

research

∙ 09/12/2018

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

Sign information is the key to overcoming the inevitable saturation erro...

Fan He, et al. ∙

research

∙ 03/19/2018

D^2: Decentralized Training over Decentralized Data

While training a machine learning model using multiple workers, each of ...

Hanlin Tang, et al. ∙

research

∙ 11/18/2017

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...

Zhi Li, et al. ∙

research

∙ 08/15/2017

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...

Chen Wu, et al. ∙

research

∙ 07/18/2017

Exploring Outliers in Crowdsourced Ranking for QoE

Outlier detection is a crucial part of robust evaluation for crowdsource...

Qianqian Xu, et al. ∙

research

∙ 06/04/2017

Nonconvex penalties with analytical solutions for one-bit compressive sensing

One-bit measurements widely exist in the real world, and they can be use...

Xiaolin Huang, et al. ∙

research

∙ 04/25/2017

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...

Zhi Li, et al. ∙

research

∙ 01/03/2017

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

When a measurement falls outside the quantization or measurable range, i...

Xiaolin Huang, et al. ∙

research

∙ 01/05/2016

Coordinate Friendly Structures, Algorithms and Applications

This paper focuses on coordinate update methods, which are useful for so...

Zhimin Peng, et al. ∙

research

∙ 06/08/2015

ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates

Finding a fixed point to a nonexpansive operator, i.e., x^*=Tx^*, abstra...

Zhimin Peng, et al. ∙

research

∙ 05/14/2015

Pinball Loss Minimization for One-bit Compressive Sensing

The one-bit quantization can be implemented by one single comparator, wh...

Xiaolin Huang, et al. ∙

research

∙ 04/09/2015

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

In this paper, we propose a variational multiphase image segmentation mo...

Fang Li, et al. ∙

research

∙ 01/08/2014

The Continuity of Images by Transmission Imaging Revisited

Transmission imaging, as an important imaging technique widely used in a...

Zhitao Fan, et al. ∙

research

∙ 04/04/2013

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...

Ming Yan, et al. ∙

Ming Yan

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