b'Liang Xu'

research

∙ 09/19/2023

A Hierarchy-based Analysis Approach for Blended Learning: A Case Study with Chinese Students

Blended learning is generally defined as the combination of traditional ...

0 Yu Ye, et al. ∙

research

∙ 08/22/2023

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models

Multimodal data, which can comprehensively perceive and recognize the ph...

0 Zengxiang Li, et al. ∙

research

∙ 07/27/2023

SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

Large language models (LLMs) have shown the potential to be integrated i...

0 Liang Xu, et al. ∙

research

∙ 07/27/2023

MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation

The UNet architecture, based on Convolutional Neural Networks (CNN), has...

0 Liang Xu, et al. ∙

research

∙ 05/24/2023

P-vectors: A Parallel-Coupled TDNN/Transformer Network for Speaker Verification

Typically, the Time-Delay Neural Network (TDNN) and Transformer can serv...

0 Xiyuan Wang, et al. ∙

research

∙ 11/14/2022

Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions

Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at dete...

0 Yong-Lu Li, et al. ∙

research

∙ 05/24/2022

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification

Deep neural networks generally perform poorly with datasets that suffer ...

4 Liang Xu, et al. ∙

research

∙ 03/22/2022

On Robust Classification using Contractive Hamiltonian Neural ODEs

Deep neural networks can be fragile and sensitive to small input perturb...

0 Muhammad Zakwan, et al. ∙

research

∙ 03/04/2022

Weighted Simultaneous Algebra Reconstruction Technique (wSART) for Additive Light Field Synthesis

We apply an iterative weighting scheme for additive light field synthesi...

0 Chen Gao, et al. ∙

research

∙ 02/14/2022

HAKE: A Knowledge Engine Foundation for Human Activity Understanding

Human activity understanding is of widespread interest in artificial int...

0 Yong-Lu Li, et al. ∙

research

∙ 11/16/2021

DataCLUE: A Benchmark Suite for Data-centric NLP

Data-centric AI has recently proven to be more effective and high-perfor...

0 Liang Xu, et al. ∙

research

∙ 10/28/2021

Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition

Skeleton data carries valuable motion information and is widely explored...

0 Liang Xu, et al. ∙

research

∙ 09/11/2021

AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations

State-of-the-art Named Entity Recognition(NER) models rely heavily on la...

0 Hongtao Ruan, et al. ∙

research

∙ 07/15/2021

FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark

Pretrained Language Models (PLMs) have achieved tremendous success in na...

0 Liang Xu, et al. ∙

research

∙ 06/15/2021

Evaluating Modules in Graph Contrastive Learning

The recent emergence of contrastive learning approaches facilitates the ...

16 Ganqu Cui, et al. ∙

research

∙ 05/27/2021

Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design

Deep Neural Networks (DNNs) training can be difficult due to vanishing a...

42 Clara Lucía Galimberti, et al. ∙

research

∙ 04/27/2021

A unified framework for Hamiltonian deep neural networks

Training deep neural networks (DNNs) can be difficult due to the occurre...

0 Clara L. Galimberti, et al. ∙

research

∙ 04/15/2021

An Alignment-Agnostic Model for Chinese Text Error Correction

This paper investigates how to correct Chinese text errors with types of...

0 Liying Zheng, et al. ∙

research

∙ 01/25/2021

Transferable Interactiveness Knowledge for Human-Object Interaction Detection

Human-Object Interaction (HOI) detection is an important problem to unde...

7 Yong-Lu Li, et al. ∙

research

∙ 01/09/2021

Pushing the Envelope of Thin Crack Detection

In this study, we consider the problem of detecting cracks from the imag...

8 Liang Xu, et al. ∙

research

∙ 01/08/2021

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection

In recent studies, Lots of work has been done to solve time series anoma...

24 Liang Xu, et al. ∙

research

∙ 01/07/2021

Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification

Although deep convolutional neural networks (DCNNs) have achieved signif...

14 Shuwei Shen, et al. ∙

research

∙ 10/12/2020

OCNLI: Original Chinese Natural Language Inference

Despite the tremendous recent progress on natural language inference (NL...

0 Hai Hu, et al. ∙

research

∙ 04/13/2020

CLUE: A Chinese Language Understanding Evaluation Benchmark

We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...

0 Liang Xu, et al. ∙

research

∙ 04/02/2020

PaStaNet: Toward Human Activity Knowledge Engine

Existing image-based activity understanding methods mainly adopt direct ...

2 Yong-Lu Li, et al. ∙

research

∙ 03/03/2020

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model

In this paper, we introduce the Chinese corpus from CLUE organization, C...

0 Liang Xu, et al. ∙

research

∙ 03/03/2020

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-trainingLanguage Model

In this paper, we introduce the Chinese corpus from CLUE organization, C...

0 Liang Xu, et al. ∙

research

∙ 01/13/2020

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

In this paper, we introduce the NER dataset from CLUE organization (CLUE...

0 Liang Xu, et al. ∙

research

∙ 01/13/2020

CLUENER2020: Fine-grained Name Entity Recognition for Chinese

In this paper, we introduce the NER dataset from CLUE organization (CLUE...

0 Liang Xu, et al. ∙

research

∙ 12/05/2019

3D Objectness Estimation via Bottom-up Regret Grouping

3D objectness estimation, namely discovering semantic objects from 3D sc...

0 Zelin Ye, et al. ∙

research

∙ 04/13/2019

HAKE: Human Activity Knowledge Engine

Human activity understanding is crucial for building automatic intellige...

0 Yong-Lu Li, et al. ∙

research

∙ 04/02/2019

Hierarchical method for cataract grading based on retinal images using improved Haar wavelet

Cataracts, which are lenticular opacities that may occur at different le...

20 Lvchen Cao, et al. ∙

research

∙ 12/14/2018

Action Machine: Rethinking Action Recognition in Trimmed Videos

Existing methods in video action recognition mostly do not distinguish h...

26 Jiagang Zhu, et al. ∙

research

∙ 11/20/2018

Transferable Interactiveness Prior for Human-Object Interaction Detection

Human-Object Interaction (HOI) Detection is an important problem to unde...

4 Yong-Lu Li, et al. ∙

Liang Xu

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