Van-Duc Le
Orcid: 0000-0002-3333-1848
According to our database1,
Van-Duc Le
authored at least 11 papers
between 2018 and 2023.
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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
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation.
CoRR, 2022
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