b'Wei Ding'

research

∙ 09/05/2023

Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning

Support-query shift few-shot learning aims to classify unseen examples (...

0 Siyang Jiang, et al. ∙

research

∙ 12/09/2022

Object Goal Navigation with End-to-End Self-Supervision

A household robot should be able to navigate to target locations without...

0 So Yeon Min, et al. ∙

research

∙ 11/28/2022

Generalized Category Discovery with Decoupled Prototypical Network

Generalized Category Discovery (GCD) aims to recognize both known and no...

0 Wenbin An, et al. ∙

research

∙ 10/26/2022

Multiscale multimesh finite element method | M^2-FEM: Hierarchical mesh-decoupling for integral structural theories

This study presents a generalized multiscale multimesh finite element me...

0 Wei Ding, et al. ∙

research

∙ 09/23/2022

Safe Real-World Reinforcement Learning for Mobile Agent Obstacle Avoidance

Collision avoidance is key for mobile robots and agents to operate safel...

5 Mario Srouji, et al. ∙

research

∙ 07/06/2022

Multiscale nonlocal beam theory: An application of distributed-order fractional operators

This study presents a comprehensive theoretical framework to simulate th...

0 Wei Ding, et al. ∙

research

∙ 05/08/2022

PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift

Few-shot learning methods aim to embed the data to a low-dimensional emb...

0 Siyang Jiang, et al. ∙

research

∙ 12/24/2021

Multiscale Nonlocal Elasticity: A Distributed Order Fractional Formulation

This study presents a generalized multiscale nonlocal elasticity theory ...

0 Wei Ding, et al. ∙

research

∙ 10/23/2021

ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks

With event-driven algorithms, especially the spiking neural networks (SN...

0 Yihan Lin, et al. ∙

research

∙ 07/03/2021

Architecture Information Communication in Two OSS Projects: the Why, Who, When, and What

Architecture information is vital for Open Source Software (OSS) develop...

0 Tingting Bi, et al. ∙

research

∙ 04/06/2021

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Currently, a growing number of mature natural language processing applic...

0 Ahmed Elnaggar, et al. ∙

research

∙ 03/14/2021

Learning a Proposal Classifier for Multiple Object Tracking

The recent trend in multiple object tracking (MOT) is heading towards le...

0 Xin Yu, et al. ∙

research

∙ 08/13/2020

Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze

Accurate localization is a foundational capacity, required for autonomou...

0 Dongfang Liu, et al. ∙

research

∙ 05/02/2020

Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences

Neuromorphic data, recording frameless spike events, have attracted cons...

11 Weihua He, et al. ∙

research

∙ 02/23/2020

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance

The study of model bias and variance with respect to decision boundaries...

0 Matthew Almeida, et al. ∙

research

∙ 02/20/2020

SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis

SummerTime seeks to summarize globally time series signals and provides ...

0 Kevin M. Amaral, et al. ∙

research

∙ 01/10/2020

GeoCMS : Towards a Geo-Tagged Media Management System

In this paper, we propose the design and implementation of the new geota...

0 Jang You Park, et al. ∙

research

∙ 01/03/2020

Fair Auction and Trade Framework for Cloud VM Allocation based on Blockchain

Cloud auctions provide cost-effective strategies for cloud VM allocation...

0 Zhili Chen, et al. ∙

research

∙ 11/08/2019

CFS: A Distributed File System for Large Scale Container Platforms

We propose CFS, a distributed file system for large scale container plat...

0 Haifeng Liu, et al. ∙

research

∙ 04/28/2019

Measuring similarity between geo-tagged videos using largest common view

This paper presents a novel problem for discovering the similar trajecto...

0 Wei Ding, et al. ∙

research

∙ 12/17/2018

Most memory efficient distributed super points detection on core networks

The super point, a host which communicates with lots of others, is a kin...

0 Jie Xu, et al. ∙

research

∙ 12/01/2018

VATE: a trade-off between memory and preserving time for high accuracy cardinalities estimation under sliding time window

Host cardinality is one of the important attributes in the field of netw...

0 Jie Xu, et al. ∙

research

∙ 10/01/2018

Truncated Laplacian Mechanism for Approximate Differential Privacy

We derive a class of noise probability distributions to preserve (ϵ, δ)-...

0 Quan Geng, et al. ∙

research

∙ 09/26/2018

Optimal Noise-Adding Mechanism in Additive Differential Privacy

We derive the optimal (0, δ)-differentially private query-output indepen...

0 Quan Geng, et al. ∙

research

∙ 03/28/2018

SRLA: A real time sliding time window super point cardinality estimation algorithm for high speed network based on GPU

Super point is a special host in network which communicates with lots of...

0 Jie Xu, et al. ∙

research

∙ 04/05/2017

Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation

Accelerometer measurements are the prime type of sensor information most...

0 Kevin M. Amaral, et al. ∙

research

∙ 04/26/2016

Scale Normalization

One of the difficulties of training deep neural networks is caused by im...

0 Henry Z. Lo, et al. ∙

research

∙ 03/14/2016

Rapid building detection using machine learning

This work describes algorithms for performing discrete object detection,...

0 Joseph Paul Cohen, et al. ∙

research

∙ 03/02/2016

LOFS: Library of Online Streaming Feature Selection

As an emerging research direction, online streaming feature selection de...

0 Kui Yu, et al. ∙

research

∙ 02/18/2016

RandomOut: Using a convolutional gradient norm to rescue convolutional filters

Filters in convolutional neural networks are sensitive to their initiali...

0 Joseph Paul Cohen, et al. ∙

research

∙ 01/05/2016

Crater Detection via Convolutional Neural Networks

Craters are among the most studied geomorphic features in the Solar Syst...

0 Joseph Paul Cohen, et al. ∙

research

∙ 10/05/2015

A Common-Factor Approach for Multivariate Data Cleaning with an Application to Mars Phoenix Mission Data

Data quality is fundamentally important to ensure the reliability of dat...

0 Dongping Fang, et al. ∙

Wei Ding

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