b'Haifeng Wang'

research

∙ 09/08/2023

GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue

Pre-trained models have achieved success in Chinese Short Text Matching ...

0 Yanrui Du, et al. ∙

research

∙ 08/30/2023

Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation

In the field of parallel imaging (PI), alongside image-domain regulariza...

0 Zhuo-Xu Cui, et al. ∙

research

∙ 08/28/2023

An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation

Consistency regularization methods, such as R-Drop (Liang et al., 2021) ...

0 Pengzhi Gao, et al. ∙

research

∙ 08/13/2023

Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan

Brain tissue segmentation is essential for neuroscience and clinical stu...

0 Yongheng Sun, et al. ∙

research

∙ 08/05/2023

Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis

In this paper, a dynamic dual-graph fusion convolutional network is prop...

0 Fanshi Li, et al. ∙

research

∙ 06/12/2023

Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization

Multilingual sentence representations are the foundation for similarity-...

0 Pengzhi Gao, et al. ∙

research

∙ 05/12/2023

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization

The multilingual neural machine translation (NMT) model has a promising ...

0 Pengzhi Gao, et al. ∙

research

∙ 05/06/2023

Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model

MRI and PET are crucial diagnostic tools for brain diseases, as they pro...

0 Taofeng Xie, et al. ∙

research

∙ 05/04/2023

Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI

Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...

0 Zhuo-Xu Cui, et al. ∙

research

∙ 11/09/2022

ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation

Recent cross-lingual cross-modal works attempt to extend Vision-Language...

0 Bin Shan, et al. ∙

research

∙ 11/02/2022

PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation

Recently, the practical deployment of open-domain dialogue systems has b...

0 Siqi Bao, et al. ∙

research

∙ 10/27/2022

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts

Recent progress in diffusion models has revolutionized the popular techn...

0 Zhida Feng, et al. ∙

research

∙ 10/24/2022

A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks

Physics-Informed Neural Networks (PINNs) have become a kind of attractiv...

0 Jia Guo, et al. ∙

research

∙ 10/21/2022

Clip-Tuning: Towards Derivative-free Prompt Learning with a Mixture of Rewards

Derivative-free prompt learning has emerged as a lightweight alternative...

3 Yekun Chai, et al. ∙

research

∙ 10/12/2022

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding

Recent years have witnessed the rise and success of pre-training techniq...

12 Qiming Peng, et al. ∙

research

∙ 09/30/2022

ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training

Recent Vision-Language Pre-trained (VLP) models based on dual encoder ha...

7 Bin Shan, et al. ∙

research

∙ 09/02/2022

Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction

Recently, score-based diffusion models have shown satisfactory performan...

17 Zhuo-Xu Cui, et al. ∙

research

∙ 08/30/2022

Towards Boosting the Open-Domain Chatbot with Human Feedback

Many open-domain dialogue models pre-trained with social media comments ...

0 Hua Lu, et al. ∙

research

∙ 08/25/2022

Citation advantage of COVID-19 related publications

With the global spread of the COVID-19 pandemic, scientists from various...

0 Weishu Liu, et al. ∙

research

∙ 08/15/2022

DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps

Estimated time of arrival (ETA) prediction, also known as travel time es...

0 Jizhou Huang, et al. ∙

research

∙ 08/11/2022

K-UNN: k-Space Interpolation With Untrained Neural Network

Recently, untrained neural networks (UNNs) have shown satisfactory perfo...

24 Zhuo-Xu Cui, et al. ∙

research

∙ 06/28/2022

SINC: Service Information Augmented Open-Domain Conversation

Generative open-domain dialogue systems can benefit from external knowle...

0 Han Zhou, et al. ∙

research

∙ 06/25/2022

Render unto Numerics : Orthogonal Polynomial Neural Operator for PDEs with Non-periodic Boundary Conditions

By learning the map between function spaces using carefully designed dee...

0 Ziyuan Liu, et al. ∙

research

∙ 06/22/2022

Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games

Evolutionary game theory has been a successful tool to combine classical...

4 Xinyu Zhang, et al. ∙

research

∙ 06/06/2022

Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation

We introduce Bi-SimCut: a simple but effective training strategy to boos...

0 Pengzhi Gao, et al. ∙

research

∙ 05/25/2022

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation

Many recent works indicate that the deep neural networks tend to take da...

0 Yanrui Du, et al. ∙

research

∙ 05/23/2022

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP

While there is increasing concern about the interpretability of neural m...

0 Lijie Wang, et al. ∙

research

∙ 05/18/2022

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval

Neural retrievers based on pre-trained language models (PLMs), such as d...

0 Yuxiang Lu, et al. ∙

research

∙ 05/17/2022

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer

Accurate ADMET (an abbreviation for "absorption, distribution, metabolis...

0 Shanzhuo Zhang, et al. ∙

research

∙ 04/22/2022

Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation

Emotional support is a crucial skill for many real-world scenarios, incl...

0 Shihang Wang, et al. ∙

research

∙ 04/15/2022

Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals

Most dialog systems posit that users have figured out clear and specific...

0 Zeming Liu, et al. ∙

research

∙ 04/05/2022

Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging

Parallel imaging is widely used in magnetic resonance imaging as an acce...

1 Hui Tao, et al. ∙

research

∙ 03/19/2022

DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine

In this paper, we present DuReader_retrieval, a large-scale Chinese data...

0 Yifu Qiu, et al. ∙

research

∙ 03/17/2022

POLARIS: A Geographic Pre-trained Model and its Applications in Baidu Maps

Pre-trained models (PTMs) have become a fundamental backbone for downstr...

0 Jizhou Huang, et al. ∙

research

∙ 03/17/2022

UNIMO-2: End-to-End Unified Vision-Language Grounded Learning

Vision-Language Pre-training (VLP) has achieved impressive performance o...

0 Wei Li, et al. ∙

research

∙ 03/11/2022

Long Time No See! Open-Domain Conversation with Long-Term Persona Memory

Most of the open-domain dialogue models tend to perform poorly in the se...

0 Xinchao Xu, et al. ∙

research

∙ 02/19/2022

Function-valued RKHS-based Operator Learning for Differential Equations

Recently, a steam of works seek for solving a family of partial differen...

0 Kaijun Bao, et al. ∙

research

∙ 02/16/2022

Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data

The constrained outbreak of COVID-19 in Mainland China has recently been...

0 Jizhou Huang, et al. ∙

research

∙ 02/05/2022

Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion

Natural language processing (NLP) task has achieved excellent performanc...

2 Peiying Zhang, et al. ∙

research

∙ 01/03/2022

A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images

Diagnosis and treatment management for head and neck squamous cell carci...

11 Yibin Wang, et al. ∙

research

∙ 01/03/2022

Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization

In this research, an attention-based depthwise separable neural network ...

9 Yibin Wang, et al. ∙

research

∙ 12/31/2021

ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation

Conventional methods for the image-text generation tasks mainly tackle t...

6 Han Zhang, et al. ∙

research

∙ 12/23/2021

ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Pre-trained language models have achieved state-of-the-art results in va...

4 Shuohuan Wang, et al. ∙

research

∙ 12/23/2021

TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations

Task-oriented dialogue systems have been plagued by the difficulties of ...

0 Xin Tian, et al. ∙

research

∙ 12/18/2021

Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI

Recently, model-driven deep learning unrolls a certain iterative algorit...

13 Zhuo-Xu Cui, et al. ∙

research

∙ 12/16/2021

DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models

In this paper, we focus on studying robustness evaluation of Chinese que...

3 Hongyu Zhu, et al. ∙

research

∙ 12/06/2021

End-to-end Adaptive Distributed Training on PaddlePaddle

Distributed training has become a pervasive and effective approach for t...

0 Yulong Ao, et al. ∙

research

∙ 12/01/2021

Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning

Purpose: To propose a novel deep learning-based method called RG-Net (re...

6 Yanjie Zhu, et al. ∙

research

∙ 11/18/2021

Docking-based Virtual Screening with Multi-Task Learning

Machine learning shows great potential in virtual screening for drug dis...

0 Zijing Liu, et al. ∙

research

∙ 10/25/2021

SgSum: Transforming Multi-document Summarization into Sub-graph Selection

Most of existing extractive multi-document summarization (MDS) methods s...

0 Moye Chen, et al. ∙

Haifeng Wang

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