b'Ming Yan'

research

∙ 06/07/2023

Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks

To promote the development of Vision-Language Pre-training (VLP) and mul...

0 Haiyang Xu, et al. ∙

research

∙ 05/15/2023

CLIP-VG: Self-paced Curriculum Adapting of CLIP via Exploiting Pseudo-Language Labels for Visual Grounding

Visual Grounding (VG) refers to locating a region described by expressio...

0 Linhui Xiao, et al. ∙

research

∙ 05/14/2023

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering

Existing knowledge-enhanced methods have achieved remarkable results in ...

0 Qianglong Chen, et al. ∙

research

∙ 05/13/2023

AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference

Knowledge distillation is of key importance to launching multilingual pr...

0 Qianglong Chen, et al. ∙

research

∙ 05/03/2023

Transforming Visual Scene Graphs to Image Captions

We propose to Transform Scene Graphs (TSG) into more descriptive caption...

0 Xu Yang, et al. ∙

research

∙ 04/27/2023

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Large language models (LLMs) have demonstrated impressive zero-shot abil...

0 Qinghao Ye, et al. ∙

research

∙ 04/26/2023

From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping

With the development of Vision-Language Pre-training Models (VLPMs) repr...

0 Junyang Wang, et al. ∙

research

∙ 04/16/2023

ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human

In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...

0 Junfeng Tian, et al. ∙

research

∙ 04/04/2023

Improved Visual Fine-tuning with Natural Language Supervision

Fine-tuning a pre-trained model can leverage the semantic information fr...

0 Junyang Wang, et al. ∙

research

∙ 03/31/2023

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

Motion capture is a long-standing research problem. Although it has been...

0 Ming Yan, et al. ∙

research

∙ 02/13/2023

Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval

Cross-domain image retrieval aims at retrieving images across different ...

0 Xu Wang, et al. ∙

research

∙ 02/01/2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Recent years have witnessed a big convergence of language, vision, and m...

0 Haiyang Xu, et al. ∙

research

∙ 01/05/2023

Learning Trajectory-Word Alignments for Video-Language Tasks

Aligning objects with words plays a critical role in Image-Language BERT...

0 Xu Yang, et al. ∙

research

∙ 12/30/2022

HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Video-language pre-training has advanced the performance of various down...

0 Qinghao Ye, et al. ∙

research

∙ 11/14/2022

Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment

CLIP (Contrastive Language-Image Pre-Training) has shown remarkable zero...

0 Junyang Wang, et al. ∙

research

∙ 10/18/2022

Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models

Eye movements are known to reflect cognitive processes in reading, and p...

1 Patrick Haller, et al. ∙

research

∙ 10/14/2022

Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate

Decentralized optimization is an emerging paradigm in distributed learni...

0 Zhuoqing Song, et al. ∙

research

∙ 08/25/2022

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum

This paper applies an idea of adaptive momentum for the nonlinear conjug...

0 Mengqi Hu, et al. ∙

research

∙ 08/01/2022

DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning

Although pre-trained language models (PLMs) have achieved state-of-the-a...

0 Qianglong Chen, et al. ∙

research

∙ 07/15/2022

X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval

Video-text retrieval has been a crucial and fundamental task in multi-mo...

0 Yiwei Ma, et al. ∙

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 ...

0 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 ...

0 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 ...

0 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 ...

0 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...

0 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...

0 Ming Yan, et al. ∙

research

∙ 08/10/2021

Decentralized Composite Optimization with Compression

Decentralized optimization and communication compression have exhibited ...

0 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...

0 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...

0 Zhuoqing Song, et al. ∙

research

∙ 07/05/2021

Elastic Graph Neural Networks

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

0 Xiaorui Liu, et al. ∙

research

∙ 06/25/2021

Hessian informed mirror descent

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

0 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...

0 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...

0 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 ...

0 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...

0 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...

0 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...

3 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...

0 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...

0 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 ...

36 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 ...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 Xingyi Cheng, et al. ∙

Ming Yan

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