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

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

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

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

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

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

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

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

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

Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm. - Park, Youngjoon; Lee, DongKyu; Bui, Tien-Cuong (CoRR, 2022)

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

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

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

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

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

STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach. - Bui, Tien-Cuong; Kim, Joonyoung; Kang, Taewoo; Lee, Donghyeon; Choi, Junyoung; Yang, Insoon; Jung, Kyomin; Cha, Sang-Kyun (2020)

Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars. - Bui, Tien-Cuong; Le, Van-Duc; To, Hai-Thien; Cha, Sang-Kyun (CoRR, 2020)

Spatiotemporal deep learning model for citywide air pollution interpolation and prediction. - Le, Van-Duc; Bui, Tien-Cuong; Cha, Sang-Kyun (CoRR, 2019)

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

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