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Tien-Cuong Bui

Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction
2020 · Van-Duc Le, Tien-Cuong Bui, et al. · IEEE International Conference on Big Data and Smart Computing (BigComp) · 109
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A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM
2018 · Bui, Tien-Cuong, Le, Van-Duc, et al. · arXiv (Cornell University) · 81
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STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach
2020 · Tien-Cuong Bui, Joonyoung Kim, et al. · Advances in intelligent systems and computing · 14
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Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars
2021 · Tien-Cuong Bui, Van-Duc Le, et al. · IEEE International Conference on Big Data and Smart Computing (BigComp) · 9
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A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM.
2018 · Tien-Cuong Bui, Van-Duc Le, et al. · arXiv (Cornell University) · 8
RAG-IT: Retrieval-Augmented Instruction Tuning for Automated Financial Analysis - A Case Study for the Semiconductor Sector
2025 · Van-Duc Le, Tien-Cuong Bui, et al. · Journal of Science and Transport Technology · 7
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Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System
2023 · Tung-Lam Duong, Van-Duc Le, et al. · Lecture notes in computer science · 5
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Generating Real-Time Explanations for GNNs via Multiple Specialty Learners and Online Knowledge Distillation
2023 · Tien-Cuong Bui, Van-Duc Le, et al. · IEEE Access · 5
Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees
2023 · Jisoo Jang, Mina Kim, et al. · Lecture notes in computer science · 5
Toward Interpretable Graph Neural Networks via Concept Matching Model
2023 · Tien-Cuong Bui, Wen-Syan Li · Proceedings · 4
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation
2022 · Bui, Tien-Cuong, Le, Van-Duc, et al. · arXiv (Cornell University) · 2
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Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm
2022 · Park, YoungJoon, Lee, DongKyu, et al. · arXiv (Cornell University) · 2
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Real-Time Social Distancing Alert System Using Pose Estimation on Smart Edge Devices
2021 · Hai-Thien To, Khac-Hoai Nam Bui, et al. · Communications in computer and information science · 2
IgPose: a generative data-augmented pipeline for robust immunoglobulin–antigen binding prediction
2026 · Tien-Cuong Bui, Injae Chung, et al. · Bioinformatics · 1
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Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence
2024 · Tien-Cuong Bui, Wen-Syan Li · Lecture notes in computer science · 1
Efficient ML Lifecycle Transferring for Large-Scale and High-Dimensional Data via Core Set-Based Dataset Similarity
2023 · Van-Duc Le, Tien-Cuong Bui, et al. · IEEE Access · 1
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INGREX: An Interactive Explanation Framework for Graph Neural Networks
2022 · Bui, Tien-Cuong, Le, Van-Duc, et al. · arXiv (Cornell University) · 1
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An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios
2019 · Pyo, Jungwoo, Lee, Joohyun, et al. · arXiv (Cornell University) · 1
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OmniScore: A geometric foundation encoder for universal biomolecular representation and scoring
2026 · Tien-Cuong Bui, Yiyu Hong, et al. · bioRxiv (Cold Spring Harbor Laboratory)
Human-Driven Active Verification for Efficient and Trustworthy Graph Classification
2024 · Tien-Cuong Bui, Wen-Syan Li · Lecture notes in computer science
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes
2022 · Bui, Tien-Cuong, Li, Wen-syan, et al. · arXiv (Cornell University)
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Works count: 21
Citation count: 258
H-index: 6
I10-index: 3
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