b'Ying Chen'

research

∙ 05/05/2022

Spot-adaptive Knowledge Distillation

Knowledge distillation (KD) has become a well established paradigm for c...

Jie Song, et al. ∙

research

∙ 04/29/2022

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement

The 3D Lookup Table (3D LUT) is a highly-efficient tool for real-time im...

Canqian Yang, et al. ∙

research

∙ 04/05/2022

Pyramid Frequency Network with Spatial Attention Residual Refinement Module for Monocular Depth Estimation

Deep-learning-based approaches to depth estimation are rapidly advancing...

Zhengyang Lu, et al. ∙

research

∙ 03/25/2022

An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development

Recent years have witnessed an exponential growth in developing deep lea...

Jin Yang, 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...

Yifu Qiu, et al. ∙

research

∙ 02/21/2022

Applications of blockchain and artificial intelligence technologies for enabling prosumers in smart grids: A review

Governments' net zero emission target aims at increasing the share of re...

Weiqi Hua, et al. ∙

research

∙ 02/18/2022

Guide Local Feature Matching by Overlap Estimation

Local image feature matching under large appearance, viewpoint, and dist...

Ying Chen, et al. ∙

research

∙ 02/17/2022

Article's Scientific Prestige: measuring the impact of individual articles in the Web of Science

We performed a citation analysis on the Web of Science publications cons...

Ying Chen, 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...

Hongyu Zhu, et al. ∙

research

∙ 10/25/2021

Neural ODE and DAE Modules for Power System Dynamic Modeling

The time-domain simulation is the fundamental tool for power system tran...

Tannan Xiao, et al. ∙

research

∙ 10/20/2021

Semi-supervised Domain Adaptation for Semantic Segmentation

Deep learning approaches for semantic segmentation rely primarily on sup...

Ying Chen, et al. ∙

research

∙ 10/11/2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Background: The current clinical workflow for esophageal gross tumor vol...

Xianghua Ye, et al. ∙

research

∙ 10/03/2021

Exploration of AI-Oriented Power System Transient Stability Simulations

Artificial Intelligence (AI) has made significant progress in the past 5...

Tannan Xiao, et al. ∙

research

∙ 09/30/2021

Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism

In the past decade, sarcasm detection has been intensively conducted in ...

Xiaoqiang Zhang, et al. ∙

research

∙ 08/30/2021

DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation

While deep learning models have greatly improved the performance of most...

Lijie Wang, et al. ∙

research

∙ 08/15/2021

Multi-granularity for knowledge distillation

Considering the fact that students have different abilities to understan...

Baitan Shao, et al. ∙

research

∙ 06/04/2021

Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching

We propose a deep switching state space model (DS^3M) for efficient infe...

Xiuqin Xu, et al. ∙

research

∙ 05/10/2021

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation

Knowledge distillation (KD) has recently emerged as an efficacious schem...

Mengqi Xue, et al. ∙

research

∙ 05/03/2021

Spectral Machine Learning for Pancreatic Mass Imaging Classification

We present a novel spectral machine learning (SML) method in screening f...

Yiming Liu, et al. ∙

research

∙ 04/08/2021

BSTC: A Large-Scale Chinese-English Speech Translation Dataset

This paper presents BSTC (Baidu Speech Translation Corpus), a large-scal...

Ruiqing Zhang, et al. ∙

research

∙ 03/31/2021

Cooperative Beam Hopping for Accurate Positioning in Ultra-Dense LEO Satellite Networks

In ultra-dense LEO satellite networks, conventional communication-orient...

Yu Wang, et al. ∙

research

∙ 03/18/2021

Refining Neural Networks with Compositional Explanations

Neural networks are prone to learning spurious correlations from biased ...

Huihan Yao, et al. ∙

research

∙ 02/25/2021

Deep Stochastic Volatility Model

Volatility for financial assets returns can be used to gauge the risk fo...

Xiuqin Xu, et al. ∙

research

∙ 02/18/2021

The Variational Bayesian Inference for Network Autoregression Models

We develop a variational Bayesian (VB) approach for estimating large-sca...

Wei-Ting Lai, et al. ∙

research

∙ 02/06/2021

Concentrated Document Topic Model

We propose a Concentrated Document Topic Model(CDTM) for unsupervised te...

Hao Lei, et al. ∙

research

∙ 02/06/2021

Exclusive Topic Modeling

We propose an Exclusive Topic Modeling (ETM) for unsupervised text class...

Hao Lei, et al. ∙

research

∙ 01/25/2021

Mask-based Data Augmentation for Semi-supervised Semantic Segmentation

Semantic segmentation using convolutional neural networks (CNN) is a cru...

Ying Chen, et al. ∙

research

∙ 12/08/2020

MANGO: A Mask Attention Guided One-Stage Scene Text Spotter

Recently end-to-end scene text spotting has become a popular research to...

Liang Qiao, et al. ∙

research

∙ 12/03/2020

Domain Adaptation of Aerial Semantic Segmentation

Semantic segmentation has achieved significant advances in recent years....

Ying Chen, et al. ∙

research

∙ 11/20/2020

Cascade Attentive Dropout for Weakly Supervised Object Detection

Weakly supervised object detection (WSOD) aims to classify and locate ob...

Wenlong Gao, et al. ∙

research

∙ 11/11/2020

Dense U-net for super-resolution with shuffle pooling layer

Single image super-resolution (SISR) in unconstrained environments is ch...

Zhengyang Lu, et al. ∙

research

∙ 10/17/2020

DEAL: Difficulty-aware Active Learning for Semantic Segmentation

Active learning aims to address the paucity of labeled data by finding t...

Shuai Xie, et al. ∙

research

∙ 09/11/2020

Limousine Service Management: Capacity Planning with Predictive Analytics and Optimization

The limousine service in luxury hotels is an integral component of the w...

Peng Liu, et al. ∙

research

∙ 09/09/2020

Regularised Text Logistic Regression: Key Word Detection and Sentiment Classification for Online Reviews

Online customer reviews have become important for managers and executive...

Ying Chen, et al. ∙

research

∙ 09/03/2020

Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression

Probabilistic forecasting of electricity load curves is of fundamental i...

Xiuqin Xu, et al. ∙

research

∙ 07/01/2020

Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture

Inspired by the development of deep learning in computer vision and obje...

Zhun Fan, et al. ∙

research

∙ 06/22/2020

DO-Conv: Depthwise Over-parameterized Convolutional Layer

Convolutional layers are the core building blocks of Convolutional Neura...

Jinming Cao, et al. ∙

research

∙ 05/31/2020

A two-stage framework for short-term wind power forecasting using different feature-learning models

With the growing dependence on wind power generation, improving the accu...

Jiancheng Qin, et al. ∙

research

∙ 05/27/2020

GSTO: Gated Scale-Transfer Operation for Multi-Scale Feature Learning in Pixel Labeling

Existing CNN-based methods for pixel labeling heavily depend on multi-sc...

Zhuoying Wang, et al. ∙

research

∙ 05/04/2020

Stochastic Sparse Subspace Clustering

State-of-the-art subspace clustering methods are based on self-expressiv...

Ying Chen, et al. ∙

research

∙ 02/26/2020

On the Capacity of Fractal D2D Social Networks with Hierarchical Communications

The maximum capacity of fractal D2D (device-to-device) social networks w...

Ying Chen, et al. ∙

research

∙ 02/08/2020

Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement

Automated pavement crack detection and measurement are important road is...

Zhun Fan, et al. ∙

research

∙ 01/19/2020

MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion

To efficiently extract spatiotemporal features of video for action recog...

Kaiyu Shan, et al. ∙

research

∙ 01/16/2020

MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

Binary Neural Networks (BNNs) are neural networks which use binary weigh...

Joseph Bethge, et al. ∙

research

∙ 12/17/2019

Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data

Real-time accurate detection of three-dimensional (3D) objects is a fund...

Shibo Zhou, et al. ∙

research

∙ 11/21/2019

Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss

Single image super-resolution (SISR) is the task of inferring a high-res...

Zhengyang Lu, et al. ∙

research

∙ 09/24/2019

Direct training based spiking convolutional neural networks for object recognition

Direct training based spiking neural networks (SNNs) have been paid a lo...

Shibo Zhou, et al. ∙

research

∙ 05/06/2019

Bee^+: A 95-mg Four-Winged Insect-Scale Flying Robot Driven by Twinned Unimorph Actuators

We introduce Bee^+, a 95-mg four-winged microrobot with improved control...

Xiufeng Yang, et al. ∙

research

∙ 03/04/2019

CloudPSS: A High-Performance Power System Simulator Based on Cloud Computing

With the increasing computations in power system simulations, high-perfo...

Yankan Song, et al. ∙

research

∙ 01/11/2019

Segmentation of Levator Hiatus Using Multi-Scale Local Region Active contours and Boundary Shape Similarity Constraint

In this paper, a multi-scale framework with local region based active co...

Xinling Zhang, et al. ∙

Ying Chen

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