A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM. - Tien-Cuong Bui; Van-Duc Le; Sang-Kyun Cha (CoRR, 2018)

Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction. - Van-Duc Le; Tien-Cuong Bui; Sang-Kyun Cha (BigComp, 2020)

Real-Time Social Distancing Alert System Using Pose Estimation on Smart Edge Devices. - Hai-Thien To; Khac-Hoai Nam Bui; Van-Duc Le; Tien-Cuong Bui; Wen-Syan Li; Sang-Kyun Cha (ACIIDS (Companion), 2021)

Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars. - Tien-Cuong Bui; Van-Duc Le; Hai-Thien To; Sang-Kyun Cha (BigComp, 2021)

Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System. - Tung-Lam Duong; Van-Duc Le; Tien-Cuong Bui; Hai-Thien To (ECCV Workshops (7), 2022)

Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation. - Tien-Cuong Bui; Van-Duc Le; Wen-Syan Li; Sang-Kyun Cha (CoRR, 2022)

INGREX: An Interactive Explanation Framework for Graph Neural Networks. - Tien-Cuong Bui; Van-Duc Le; Wen-Syan Li; Sang-Kyun Cha (CoRR, 2022)

Generating Real-Time Explanations for GNNs via Multiple Specialty Learners and Online Knowledge Distillation. - Tien-Cuong Bui; Van-Duc Le; Wen-Syan Li (IEEE Access, 2023)

Efficient ML Lifecycle Transferring for Large-Scale and High-Dimensional Data via Core Set-Based Dataset Similarity. - Van-Duc Le; Tien-Cuong Bui; Wen-Syan Li (IEEE Access, 2023)

Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting. - Van-Duc Le (CoRR, 2023)

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

Auto-Generating Earnings Report Analysis via a Financial-Augmented LLM. - Van-Duc Le (CoRR, 2024)