59 citations · 79 across the 10 of their papers we have counts for
10 papers
RAG-IT: Retrieval-Augmented Instruction Tuning for Automated Financial Analysis -- A Case Study for the Semiconductor Sector
Hai-Thien To, Tien-Cuong Bui, Van-Duc Le
Financial analysis relies heavily on the interpretation of earnings reports to assess company performance and guide decision-making. Traditional methods for generating such analyze…
VeML: An End-to-End Machine Learning Lifecycle for Large-scale and High-dimensional Data
Van-Duc Le, Tien-Cuong Bui, Wen-Syan Li
An end-to-end machine learning (ML) lifecycle consists of many iterative processes, from data preparation and ML model design to model training and then deploying the trained model…
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha
Citywide Air Pollution Forecasting tries to precisely predict the air quality multiple hours ahead for the entire city. This topic is challenged since air pollution varies in a spa…
INGREX: An Interactive Explanation Framework for Graph Neural Networks
Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li +1
Graph Neural Networks (GNNs) are widely used in many modern applications, necessitating explanations for their decisions. However, the complexity of GNNs makes it difficult to expl…
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation
Tien-Cuong Bui, Van-Duc Le, Wen-syan Li +1
Graph Neural Networks (GNNs) have become increasingly ubiquitous in numerous applications and systems, necessitating explanations of their predictions, especially when making criti…
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System
Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui +1
Although the smart camera parking system concept has existed for decades, a few approaches have fully addressed the system's scalability and reliability. As the cornerstone of a sm…
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars
Tien-Cuong Bui, Van-Duc Le, Hai-Thien To +1
Paraphrase generation is a long-standing problem and serves an essential role in many natural language processing problems. Despite some encouraging results, recent methods either…
Spatiotemporal deep learning model for citywide air pollution interpolation and prediction
Van-Duc Le, Tien-Cuong Bui, Sang Kyun Cha
Recently, air pollution is one of the most concerns for big cities. Predicting air quality for any regions and at any time is a critical requirement of urban citizens. However, air…
A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM
Tien-Cuong Bui, Van-Duc Le, Sang-Kyun Cha
Tackling air pollution is an imperative problem in South Korea, especially in urban areas, over the last few years. More specially, South Korea has joined the ranks of the world's…
Real-time Air Pollution prediction model based on Spatiotemporal Big data
Van-Duc Le, Tien-Cuong Bui, Sang Kyun Cha
Air pollution is one of the most concerns for urban areas. Many countries have constructed monitoring stations to hourly collect pollution values. Recently, there is a research in…