Lista de obras - Lei Chen - Dominio Público Uruguay

A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields

artículo científico publicado en 2023

Adaptive Distributed RDF Graph Fragmentation and Allocation based on Query Workload

artículo científico publicado en 2019

BoostER: Leveraging Large Language Models for Enhancing Entity Resolution

scientific article published on 12 May 2024

Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates

artículo científico publicado en 2022

Continuous monitoring of skylines over uncertain data streams

article by Xiaofeng Ding et al published February 2012 in Information Sciences

CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing

scholarly article published March 2014

DLTA: A Framework for Dynamic Crowdsourcing Classification Tasks

artículo científico publicado en 2019

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU

artículo científico publicado en 2023

Differential privacy in telco big data platform

Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering

artículo científico publicado en 2023

Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data

article

Distributed Graph Neural Network Training: A Survey

artículo científico publicado en 2024

EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs

artículo científico publicado en 2023

Efficient simrank-based similarity join over large graphs

Energy-Efficient Reverse Skyline Query Processing over Wireless Sensor Networks

FROG: A Fast and Reliable Crowdsourcing Framework

artículo científico publicado en 2019

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks

artículo científico publicado en 2024

LiteHST: A Tree Embedding based Method for Similarity Search

artículo científico publicado en 2023

Message Function Search for Knowledge Graph Embedding

artículo científico publicado en 2023

Mining Frequent Itemsets in Correlated Uncertain Databases

article

Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays

scholarly article by Yunhao Liu et al published November 2012 in IEEE Transactions on Parallel and Distributed Systems

Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays

scholarly article published 2007

Mining frequent itemsets over uncertain databases

article

Model Debiasing via Gradient-based Explanation on Representation

scientific article published on 29 August 2023

Multi-Campaign Oriented Spatial Crowdsourcing

artículo científico publicado en 2020

Narrow the Input Mismatch in Deep Graph Neural Network Distillation

artículo científico publicado en 2023

On Efficient Content Matching in Distributed Pub/Sub Systems

Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees

artículo científico publicado en 2023

Pareto-Based Dominant Graph: An Efficient Indexing Structure to Answer Top-K Queries

Probabilistic Web Data Management

Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates

artículo científico publicado en 2020

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement

artículo científico publicado en 2024

SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing

artículo científico publicado en 2018

SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation

artículo científico publicado en 2023

STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically

artículo científico publicado en 2024

Lista de obras de Lei Chen

A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields

Adaptive Distributed RDF Graph Fragmentation and Allocation based on Query Workload

BoostER: Leveraging Large Language Models for Enhancing Entity Resolution

Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates

Continuous monitoring of skylines over uncertain data streams

CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing

DLTA: A Framework for Dynamic Crowdsourcing Classification Tasks

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU

Differential privacy in telco big data platform

Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering

Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data

Distributed Graph Neural Network Training: A Survey

EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs

Efficient simrank-based similarity join over large graphs

Energy-Efficient Reverse Skyline Query Processing over Wireless Sensor Networks

FROG: A Fast and Reliable Crowdsourcing Framework

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks

LiteHST: A Tree Embedding based Method for Similarity Search

Message Function Search for Knowledge Graph Embedding

Mining Frequent Itemsets in Correlated Uncertain Databases

Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays

Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays

Mining frequent itemsets over uncertain databases

Model Debiasing via Gradient-based Explanation on Representation

Multi-Campaign Oriented Spatial Crowdsourcing

Narrow the Input Mismatch in Deep Graph Neural Network Distillation

On Efficient Content Matching in Distributed Pub/Sub Systems

Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees

Pareto-Based Dominant Graph: An Efficient Indexing Structure to Answer Top-K Queries

Probabilistic Web Data Management

Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement

SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing

SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation

STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically

Towards effective and efficient mining of arbitrary shaped clusters