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)

An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios. - Jungwoo Pyo; Joohyun Lee; Youngjune Park; Tien-Cuong Bui; Sang-Kyun Cha (CoRR, 2019)

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

STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach. - Tien-Cuong Bui; Joonyoung Kim; Taewoo Kang; Donghyeon Lee; Junyoung Choi; Insoon Yang; Kyomin Jung; Sang-Kyun Cha (IntelliSys (2), 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)

PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes. - Tien-Cuong Bui; Wen-Syan Li; Sang-Kyun Cha (CoRR, 2022)

Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm. - Youngjoon Park; DongKyu Lee; Tien-Cuong Bui (CoRR, 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)

Toward Interpretable Graph Neural Networks via Concept Matching Model. - Tien-Cuong Bui; Wen-Syan Li (ICDM, 2023)

Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees. - Jisoo Jang; Mina Kim; Tien-Cuong Bui; Wen-Syan Li (PAKDD (2), 2023)

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)

Human-Driven Active Verification for Efficient and Trustworthy Graph Classification. - Tien-Cuong Bui; Wen-Syan Li (PAKDD (1), 2024)

Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence. - Tien-Cuong Bui; Wen-Syan Li (PAKDD (Workshops), 2024)