b'Dan Li'

research

∙ 09/11/2023

An Empirical Study of NetOps Capability of Pre-Trained Large Language Models

Nowadays, the versatile capabilities of Pre-trained Large Language Model...

0 Yukai Miao, et al. ∙

research

∙ 06/25/2023

High Order Morley Elements for Biharmonic Equations on Polytopal Partitions

This paper introduces an extension of the Morley element for approximati...

0 Dan Li, et al. ∙

research

∙ 05/26/2023

Faster Ray Tracing through Hierarchy Cut Code

We propose a novel ray reordering technique to accelerate the ray tracin...

0 Weilai Xiang, et al. ∙

research

∙ 05/15/2023

Generalized weak Galerkin finite element methods for second order elliptic problems

This article proposes and analyzes the generalized weak Galerkin (gWG) f...

0 Dan Li, et al. ∙

research

∙ 04/16/2023

GLHAD: A Group Lasso-based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems

As Industry 4.0 and digitalization continue to advance, the reliance on ...

0 Ahmad Kokhahi, et al. ∙

research

∙ 02/13/2023

Generalized Weak Galerkin Finite Element Methods for Biharmonic Equations

The generalized weak Galerkin (gWG) finite element method is proposed an...

0 Dan Li, et al. ∙

research

∙ 12/24/2022

An L^p-primal-dual finite element method for first-order transport problems

A new L^p-primal-dual weak Galerkin method (L^p-PDWG) with p>1 is propos...

0 Dan Li, et al. ∙

research

∙ 10/31/2022

Weak Galerkin methods based Morley elements on general polytopal partitions

A new weak Galerkin method based on the weak tangential derivative and w...

0 Dan Li, et al. ∙

research

∙ 10/30/2022

Curved Elements in Weak Galerkin Finite Element Methods

A mathematical analysis is established for the weak Galerkin finite elem...

0 Dan Li, et al. ∙

research

∙ 06/24/2022

Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approach

This paper proposes an eco-driving framework for electric connected vehi...

4 Xia Jiang, et al. ∙

research

∙ 05/07/2022

Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review

The advent of Federated Learning (FL) has ignited a new paradigm for par...

0 Leon Witt, et al. ∙

research

∙ 04/23/2022

A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree

Decision tree (DT) attracts persistent research attention due to its imp...

0 Dan Li, et al. ∙

research

∙ 02/13/2022

Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions

Deep image inpainting research mainly focuses on constructing various ne...

0 Yufeng Wang, et al. ∙

research

∙ 12/16/2021

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing

Graph neural networks (GNNs) have extended the success of deep neural ne...

0 Tianfeng Liu, et al. ∙

research

∙ 12/08/2021

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction

With the booming of pre-trained transformers, remarkable progress has be...

0 Dan Li, et al. ∙

research

∙ 09/23/2021

Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems

In this work we propose a new task: artistic visualization of classical ...

3 Dan Li, et al. ∙

research

∙ 07/31/2021

Missingness Augmentation: A General Approach for Improving Generative Imputation Models

Despite tremendous progress in missing data imputation task, designing n...

0 Yufeng Wang, et al. ∙

research

∙ 06/27/2021

Reward-Based 1-bit Compressed Federated Distillation on Blockchain

The recent advent of various forms of Federated Knowledge Distillation (...

0 Leon Witt, et al. ∙

research

∙ 06/04/2021

Analyzing Open-Source Serverless Platforms: Characteristics and Performance

Serverless computing is increasingly popular because of its lower cost a...

0 Junfeng Li, et al. ∙

research

∙ 05/28/2021

High Performance and Scalable NAT System on Commodity Platforms

Quick network address translation (NAT) is proposed to improve the netwo...

0 Junfeng Li, et al. ∙

research

∙ 05/09/2021

Quick NAT: High performance NAT system on commodity platforms

NAT gateway is an important network system in today's IPv4 network when ...

0 Junfeng Li, et al. ∙

research

∙ 02/22/2021

An Online Approach to Cyberattack Detection and Localization in Smart Grid

Complex interconnections between information technology and digital cont...

0 Dan Li, et al. ∙

research

∙ 02/18/2021

Online Optimization and Learning in Uncertain Dynamical Environments with Performance Guarantees

We propose a new framework to solve online optimization and learning pro...

0 Dan Li, et al. ∙

research

∙ 01/19/2021

Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG

Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting a larg...

0 Dacheng Chen, et al. ∙

research

∙ 10/18/2020

Blockchain Based Decentralized Cyber Attack Detection for Large Scale Power Systems

Large scale power systems are comprised of regional utilities with IIoT ...

0 Paritosh Ramanan, et al. ∙

research

∙ 10/08/2020

Improve Adversarial Robustness via Weight Penalization on Classification Layer

It is well-known that deep neural networks are vulnerable to adversarial...

1 Cong Xu, et al. ∙

research

∙ 09/25/2020

Deep Learning based Covert Attack Identification for Industrial Control Systems

Cybersecurity of Industrial Control Systems (ICS) is drawing significant...

0 Dan Li, et al. ∙

research

∙ 06/25/2020

A simplified primal-dual weak Galerkin finite element method for Fokker-Planck type equations

A simplified primal-dual weak Galerkin (S-PDWG) finite element method is...

0 Dan Li, et al. ∙

research

∙ 05/24/2020

Query Resolution for Conversational Search with Limited Supervision

In this work we focus on multi-turn passage retrieval as a crucial compo...

0 Nikos Voskarides, et al. ∙

research

∙ 04/21/2020

Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets

Positive Unlabeled (PU) learning is widely used in many applications, wh...

0 Liwei Jiang, et al. ∙

research

∙ 03/17/2020

High-Confidence Attack Detection via Wasserstein-Metric Computations

This paper considers a sensor attack and fault detection problem for lin...

0 Dan Li, et al. ∙

research

∙ 02/09/2020

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longit...

0 Razvan V. Marinescu, et al. ∙

research

∙ 11/26/2019

ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment

Automatic Speech Recognition (ASR) is greatly developed in recent years,...

0 Xianlong Tan, et al. ∙

research

∙ 11/22/2019

Data-driven Variable Speed Limit Design with Performance Guarantees for Highways

This paper studies the data-driven design of variable speed limits for h...

0 Dan Li, et al. ∙

research

∙ 11/18/2019

Understanding Open Source Serverless Platforms: Design Considerations and Performance

Serverless computing is increasingly popular because of the promise of l...

0 Junfeng Li, et al. ∙

research

∙ 10/30/2019

A Primal-dual weak Galerkin finite element method for linear convection equations in non-divergence form

A new primal-dual weak Galerkin (PD-WG) finite element method was develo...

0 Dan Li, et al. ∙

research

∙ 10/30/2019

Primal-dual weak Galerkin finite element methods for linear convection equations in non-divergence form

A new primal-dual weak Galerkin (PD-WG) finite element method was develo...

0 Dan Li, et al. ∙

research

∙ 10/15/2019

CRISLoc: Reconstructable CSI Fingerprintingfor Indoor Smartphone Localization

Channel state information (CSI) based fingerprinting for WIFI indoor loc...

0 Zhihui Gao, et al. ∙

research

∙ 08/19/2019

LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation

Electrocardiography plays an essential role in diagnosing and screening ...

0 Zijian Ding, et al. ∙

research

∙ 06/10/2019

Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo

This paper exploits the advantages of sequential Monte Carlo (SMC) to de...

0 Dan Li, et al. ∙

research

∙ 02/18/2019

Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks

Early detection of incipient faults is of vital importance to reducing m...

0 Baihong Jin, et al. ∙

research

∙ 02/18/2019

A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection

It is important to identify the change point of a system's health status...

0 Baihong Jin, et al. ∙

research

∙ 02/06/2019

The relative efficiency of time-to-progression and continuous measures of cognition in pre-symptomatic Alzheimer's

Pre-symptomatic (or Preclinical) Alzheimer's Disease is defined by bioma...

0 Dan Li, et al. ∙

research

∙ 01/15/2019

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

The prevalence of networked sensors and actuators in many real-world sys...

20 Dan Li, et al. ∙

research

∙ 10/12/2018

Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers

The goal of a technology-assisted review is to achieve high recall with ...

0 Jie Zou, et al. ∙

research

∙ 09/13/2018

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

Today's Cyber-Physical Systems (CPSs) are large, complex, and affixed wi...

0 Dan Li, et al. ∙

research

∙ 07/01/2018

Performance Analysis of Indoor THz Communications with One-Bit Precoding

In this paper, the performance of indoor Terahertz (THz) communication s...

0 Dan Li, et al. ∙

research

∙ 06/25/2018

EAST Real-Time VOD System Based on MDSplus

As with EAST (Experimental Advanced Superconducting Tokamak) experimenta...

0 J. Y. Xia, et al. ∙

research

∙ 01/31/2018

ILPS at TREC 2017 Common Core Track

The TREC 2017 Common Core Track aimed at gathering a diverse set of part...

0 Christophe Van Gysel, et al. ∙

research

∙ 09/06/2017

Active Sampling for Large-scale Information Retrieval Evaluation

Evaluation is crucial in Information Retrieval. The development of model...

0 Dan Li, et al. ∙

Dan Li

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