Van-Duc Le

Orcid: 0000-0002-3333-1848

According to our database1, Van-Duc Le authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
VeML: An End-to-End Machine Learning Lifecycle for Large-scale and High-dimensional Data.
CoRR, 2023

Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting.
CoRR, 2023

Efficient ML Lifecycle Transferring for Large-Scale and High-Dimensional Data via Core Set-Based Dataset Similarity.
IEEE Access, 2023

Generating Real-Time Explanations for GNNs via Multiple Specialty Learners and Online Knowledge Distillation.
IEEE Access, 2023

2022
INGREX: An Interactive Explanation Framework for Graph Neural Networks.
CoRR, 2022

Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation.
CoRR, 2022

Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Real-Time Social Distancing Alert System Using Pose Estimation on Smart Edge Devices.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

2020
Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2018
A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM.
CoRR, 2018


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