Hong Kong Baptist University

research

∙ 08/02/2019

AutoML: A Survey of the State-of-the-Art

Deep learning has penetrated all aspects of our lives and brought us gre...

Xin He, et al. ∙

research

∙ 04/19/2022

DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks

Since 2017, the Transformer-based models play critical roles in various ...

Ziyang Luo, et al. ∙

research

∙ 12/22/2021

GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples

This paper focuses on the problem of detecting out-of-distribution (ood)...

Sen Pei, et al. ∙

research

∙ 11/20/2019

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models

Skin disease is one of the most common types of human diseases, which ma...

Xin He, et al. ∙

research

∙ 03/21/2020

A level set representation method for N-dimensional convex shape and applications

In this work, we present a new efficient method for convex shape represe...

Lingfeng Li, et al. ∙

research

∙ 04/30/2022

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation

Federated learning provides a privacy guarantee for generating good deep...

Xinyi Shang, et al. ∙

research

∙ 07/20/2021

Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues

Near infrared (NIR) imaging has been widely applied in low-light imaging...

Xingxing Yang, et al. ∙

research

∙ 11/25/2019

Regularized Fine-grained Meta Face Anti-spoofing

Face presentation attacks have become an increasingly critical concern w...

Rui Shao, et al. ∙

research

∙ 09/25/2021

MC^2-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation

With the hardware development of mobile devices, it is possible to build...

Zeyuan Chen, et al. ∙

research

∙ 05/15/2020

Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation

Convex Shapes (CS) are common priors for optic disc and cup segmentation...

Jun Liu, et al. ∙

research

∙ 07/13/2021

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration

High Dynamic Range (HDR) imaging via multi-exposure fusion is an importa...

Jie Chen, et al. ∙

research

∙ 05/11/2019

Deep Plug-and-play Prior for Low-rank Tensor Completion

Tensor image data sets such as color images and multispectral images are...

Wen-Hao Xu, et al. ∙

research

∙ 07/02/2019

Robust Tensor Completion Using Transformed Tensor SVD

In this paper, we study robust tensor completion by using transformed te...

Guangjing Song, et al. ∙

research

∙ 09/02/2020

Open-set Adversarial Defense

Open-set recognition and adversarial defense study two key aspects of de...

Rui Shao, et al. ∙

research

∙ 12/20/2019

IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation

Indoor robotics localization, navigation and interaction heavily rely on...

Qiang Wang, et al. ∙

research

∙ 04/05/2020

Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization

Light field (LF) images acquired by hand-held devices usually suffer fro...

Jing Jin, et al. ∙

research

∙ 11/05/2015

Robust data assimilation using L_1 and Huber norms

Data assimilation is the process to fuse information from priors, observ...

Vishwas Rao, et al. ∙

research

∙ 09/27/2017

Dynamic Label Graph Matching for Unsupervised Video Re-Identification

Label estimation is an important component in an unsupervised person re-...

Mang Ye, et al. ∙

research

∙ 05/01/2017

Towards well-specified semi-supervised model-based classifiers via structural adaptation

Semi-supervised learning plays an important role in large-scale machine ...

Zhaocai Sun, et al. ∙

research

∙ 01/11/2016

A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews

Recommender systems (RSs) provide an effective way of alleviating the in...

Guang-Neng Hu, et al. ∙

research

∙ 03/02/2017

Face Image Reconstruction from Deep Templates

State-of-the-art face recognition systems are based on deep (convolution...

Guangcan Mai, et al. ∙

research

∙ 11/07/2016

Action2Activity: Recognizing Complex Activities from Sensor Data

As compared to simple actions, activities are much more complex, but sem...

Ye Liu, et al. ∙

research

∙ 04/30/2015

Semi-Orthogonal Multilinear PCA with Relaxed Start

Principal component analysis (PCA) is an unsupervised method for learnin...

Qiquan Shi, et al. ∙

research

∙ 12/28/2015

Outlier Detection In Large-scale Traffic Data By Naïve Bayes Method and Gaussian Mixture Model Method

It is meaningful to detect outliers in traffic data for traffic manageme...

Philip Lam, et al. ∙

research

∙ 12/18/2015

Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking

This paper addresses fully automated multi-person tracking in complex en...

Andy J Ma, et al. ∙

research

∙ 07/08/2013

Bridging Information Criteria and Parameter Shrinkage for Model Selection

Model selection based on classical information criteria, such as BIC, is...

Kun Zhang, et al. ∙

research

∙ 09/10/2010

Multiplex Structures: Patterns of Complexity in Real-World Networks

Complex network theory aims to model and analyze complex systems that co...

Jiming Liu, et al. ∙

research

∙ 05/30/2015

A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)

In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) m...

Xiaohao Cai, et al. ∙

research

∙ 07/06/2011

Online Vehicle Detection For Estimating Traffic Status

We propose a traffic congestion estimation system based on unsupervised ...

Ranch Y. Q. Lai, et al. ∙

research

∙ 11/16/2017

Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

Deep learning frameworks have been widely deployed on GPU servers for de...

Shaohuai Shi, et al. ∙

research

∙ 04/19/2017

CNN based music emotion classification

Music emotion recognition (MER) is usually regarded as a multi-label tag...

Xin Liu, et al. ∙

research

∙ 01/19/2017

GPGPU Performance Estimation with Core and Memory Frequency Scaling

Graphics Processing Units (GPUs) support dynamic voltage and frequency s...

Qiang Wang, et al. ∙

research

∙ 01/12/2018

TFisher Tests: Optimal and Adaptive Thresholding for Combining p-Values

For testing a group of hypotheses, tremendous p-value combination method...

Hong Zhang, et al. ∙

research

∙ 01/29/2018

Testing normality using the summary statistics with application to meta-analysis

As the most important tool to provide high-level evidence-based medicine...

Dehui Luo, et al. ∙

research

∙ 03/20/2018

3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model

3D point cloud - a new signal representation of volumetric objects - is ...

Jin Zeng, et al. ∙

research

∙ 05/04/2018

MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval

Hashing has recently sparked a great revolution in cross-modal retrieval...

Xin Liu, et al. ∙

research

∙ 05/10/2018

Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs

With huge amounts of training data, deep learning has made great breakth...

Shaohuai Shi, et al. ∙

research

∙ 05/22/2018

Convexity Shape Prior for Level Set based Image Segmentation Method

We propose a geometric convexity shape prior preservation method for var...

Shi Yan, et al. ∙

research

∙ 05/31/2018

Geometric Active Learning via Enclosing Ball Boundary

Active Learning (AL) requires learners to retrain the classifier with th...

Xiaofeng Cao, et al. ∙

research

∙ 07/30/2018

Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

Synchronized stochastic gradient descent (SGD) optimizers with data para...

Xianyan Jia, et al. ∙

research

∙ 08/03/2018

A Cooperative Group Optimization System

A cooperative group optimization (CGO) system is presented to implement ...

Xiao-Feng Xie, et al. ∙

research

∙ 09/20/2018

PP-DBLP: Modeling and Generating Attributed Public-Private Networks with DBLP

In many online social networks (e.g., Facebook, Google+, Twitter, and In...

Xin Huang, et al. ∙

research

∙ 11/27/2018

MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms

Distributed synchronous stochastic gradient descent has been widely used...

Shaohuai Shi, et al. ∙

research

∙ 01/14/2019

A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks

Distributed synchronous stochastic gradient descent (S-SGD) with data pa...

Shaohuai Shi, et al. ∙

research

∙ 01/29/2019

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem

Recent studies have shown that imbalance ratio is not the only cause of ...

Yang Lu, et al. ∙

research

∙ 02/08/2019

A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition

Recently, there has been a lot of research into tensor singular value de...

Wen-Hao Xu, et al. ∙

research

∙ 02/10/2019

BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data

Detecting interaction effects is a crucial step in various applications....

Min Zhou, et al. ∙

research

∙ 02/20/2019

Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools

Mining pools, the main components of the Bitcoin network, dominate the c...

Canhui Wang, et al. ∙

research

∙ 04/06/2019

Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

This paper studies the unsupervised embedding learning problem, which re...

Mang Ye, et al. ∙

research

∙ 04/25/2019

Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning

In this paper we study the stability and its trade-off with optimization...

Wei Shen, et al. ∙

Hong Kong Baptist University

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