b'Qiang Wu'

research

∙ 04/05/2023

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images

Computer-assisted automatic analysis of diabetic retinopathy (DR) is of ...

5 Bo Qian, et al. ∙

research

∙ 04/03/2023

RPTQ: Reorder-based Post-training Quantization for Large Language Models

Large-scale language models (LLMs) have demonstrated outstanding perform...

0 Zhihang Yuan, et al. ∙

research

∙ 03/23/2023

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration

Deep point cloud registration methods face challenges to partial overlap...

0 Guofeng Mei, et al. ∙

research

∙ 03/23/2023

Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance

Post-training quantization (PTQ) is a popular method for compressing dee...

0 Zhihang Yuan, et al. ∙

research

∙ 11/02/2022

DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL

Deep reinforcement learning (DRL) is becoming increasingly popular in im...

0 Liang Zhang, et al. ∙

research

∙ 10/06/2022

Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

Unsupervised learning on 3D point clouds has undergone a rapid evolution...

14 Guofeng Mei, et al. ∙

research

∙ 07/15/2022

Lightweight Vision Transformer with Cross Feature Attention

Recent advances in vision transformers (ViTs) have achieved great perfor...

0 Youpeng Zhao, et al. ∙

research

∙ 07/10/2022

Self-attention on Multi-Shifted Windows for Scene Segmentation

Scene segmentation in images is a fundamental yet challenging problem in...

7 Litao Yu, et al. ∙

research

∙ 02/05/2022

Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting

Learning from unlabeled or partially labeled data to alleviate human lab...

14 Guofeng Mei, et al. ∙

research

∙ 12/30/2021

Knowledge intensive state design for traffic signal control

There is a general trend of applying reinforcement learning (RL) techniq...

0 Liang Zhang, et al. ∙

research

∙ 12/19/2021

Expression is enough: Improving traffic signal control with advanced traffic state representation

Recently, finding fundamental properties for traffic state representatio...

0 Liang Zhang, et al. ∙

research

∙ 12/04/2021

Efficient Pressure: Improving efficiency for signalized intersections

Since conventional approaches could not adapt to dynamic traffic conditi...

0 Qiang Wu, et al. ∙

research

∙ 11/24/2021

PTQ4ViT: Post-Training Quantization Framework for Vision Transformers

Quantization is one of the most effective methods to compress neural net...

0 Zhihang Yuan, et al. ∙

research

∙ 08/26/2021

Approximation algorithms for the random-field Ising model

Approximating the partition function of the ferromagnetic Ising model wi...

0 Tyler Helmuth, et al. ∙

research

∙ 06/13/2021

InfoBehavior: Self-supervised Representation Learning for Ultra-long Behavior Sequence via Hierarchical Grouping

E-commerce companies have to face abnormal sellers who sell potentially-...

0 Runshi Liu, et al. ∙

research

∙ 12/20/2020

PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning

The predicament in semi-supervised few-shot learning (SSFSL) is to maxim...

0 Huaxi Huang, et al. ∙

research

∙ 12/01/2020

Field-wise Learning for Multi-field Categorical Data

We propose a new method for learning with multi-field categorical data. ...

0 Zhibin Li, et al. ∙

research

∙ 11/04/2020

Multi-layer Feature Aggregation for Deep Scene Parsing Models

Scene parsing from images is a fundamental yet challenging problem in vi...

0 Litao Yu, et al. ∙

research

∙ 11/02/2020

Dual Attention on Pyramid Feature Maps for Image Captioning

Generating natural sentences from images is a fundamental learning task ...

0 Litao Yu, et al. ∙

research

∙ 09/29/2020

A Framework of Learning Through Empirical Gain Maximization

We develop in this paper a framework of empirical gain maximization (EGM...

0 Yunlong Feng, et al. ∙

research

∙ 09/27/2020

A Statistical Learning Assessment of Huber Regression

As one of the triumphs and milestones of robust statistics, Huber regres...

0 Yunlong Feng, et al. ∙

research

∙ 06/30/2020

Optimal Rates of Distributed Regression with Imperfect Kernels

Distributed machine learning systems have been receiving increasing atte...

0 Hongwei Sun, et al. ∙

research

∙ 05/28/2020

TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples

The challenges of high intra-class variance yet low inter-class fluctuat...

9 Huaxi Huang, et al. ∙

research

∙ 03/07/2020

ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training

Distributed training is useful to train complicated models to shorten th...

0 Qinqing Zheng, et al. ∙

research

∙ 08/24/2019

SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification

Cross-domain person re-identification (re-ID) is challenging due to the ...

7 Yan Huang, et al. ∙

research

∙ 08/04/2019

Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification

Deep neural networks have demonstrated advanced abilities on various vis...

0 Huaxi Huang, et al. ∙

research

∙ 07/22/2019

Model Adaptation via Model Interpolation and Boosting for Web Search Ranking

This paper explores two classes of model adaptation methods for Web sear...

0 Jianfeng Gao, et al. ∙

research

∙ 07/02/2019

Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

Railway points are among the key components of railway infrastructure. A...

3 Zhibin Li, et al. ∙

research

∙ 05/09/2019

Solo citations, duet citations, and prelude citations: New measures of the disruption of academic papers

It is important to measure the disruption of academic papers. According ...

0 Qiang Wu, et al. ∙

research

∙ 04/07/2019

Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning

The recognition ability of human beings is developed in a progressive wa...

4 Huaxi Huang, et al. ∙

research

∙ 03/11/2019

Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement

Many types of 3D acquisition sensors have emerged in recent years and po...

4 Xiaoshui Huang, et al. ∙

research

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

research

∙ 07/03/2018

Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition

The problem of incomplete data is common in signal processing and machin...

0 Longhao Yuan, et al. ∙

research

∙ 06/23/2018

Overlapping Sliced Inverse Regression for Dimension Reduction

Sliced inverse regression (SIR) is a pioneer tool for supervised dimensi...

0 Ning Zhang, et al. ∙

research

∙ 06/06/2018

DMOS-PUF: Dynamic Multi-key-selection Obfuscation for Strong PUFs against Machine Learning Attacks

Strong physical unclonable function (PUF) is a promising solution for de...

0 Jiliang Zhang, et al. ∙

research

∙ 01/21/2018

Multi-pseudo Regularized Label for Generated Samples in Person Re-Identification

Sufficient training data is normally required to train deeply learned mo...

0 Yan Huang, et al. ∙

research

∙ 08/07/2017

Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network

Distributed learning is an effective way to analyze big data. In distrib...

0 Zhengchu Guo, et al. ∙

research

∙ 03/28/2017

Robust Guided Image Filtering

The process of using one image to guide the filtering process of another...

0 Wei Liu, et al. ∙

research

∙ 02/26/2017

Citation personal display: A case study of personal websites by physicists in 11 well-known universities

This paper aims to investigate the extent to which researchers display c...

0 Xingchen Li, et al. ∙

research

∙ 10/24/2016

A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds

With the development of numerous 3D sensing technologies, object registr...

0 Xiaoshui Huang, et al. ∙

research

∙ 08/18/2016

A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures

We propose a systematic approach for registering cross-source point clou...

0 Xiaoshui Huang, et al. ∙

research

∙ 03/15/2016

Bias Correction for Regularized Regression and its Application in Learning with Streaming Data

We propose an approach to reduce the bias of ridge regression and regula...

0 Qiang Wu, et al. ∙

research

∙ 12/26/2015

Data Driven Robust Image Guided Depth Map Restoration

Depth maps captured by modern depth cameras such as Kinect and Time-of-F...

0 Wei Liu, et al. ∙

research

∙ 06/17/2015

Robust High Quality Image Guided Depth Upsampling

Time-of-Flight (ToF) depth sensing camera is able to obtain depth maps a...

0 Wei Liu, et al. ∙

research

∙ 04/23/2015

A new approach for physiological time series

We developed a new approach for the analysis of physiological time serie...

0 Dong Mao, et al. ∙

research

∙ 12/19/2014

Multiple Authors Detection: A Quantitative Analysis of Dream of the Red Chamber

Inspired by the authorship controversy of Dream of the Red Chamber and t...

0 Xianfeng Hu, et al. ∙

research

∙ 12/17/2014

Consistency Analysis of an Empirical Minimum Error Entropy Algorithm

In this paper we study the consistency of an empirical minimum error ent...

0 Jun Fan, et al. ∙

research

∙ 08/03/2012

Learning Theory Approach to Minimum Error Entropy Criterion

We consider the minimum error entropy (MEE) criterion and an empirical r...

0 Ting Hu, et al. ∙

Qiang Wu

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