Tien-Cuong Bui

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Graph Classification

Top Venues

ECCV Workshops (7)

Publications

Tien-Cuong Bui, Wen-Syan Li
Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence. PAKDD (Workshops) (2024)
Tien-Cuong Bui, Wen-Syan Li
Human-Driven Active Verification for Efficient and Trustworthy Graph Classification. PAKDD (1) (2024)
Jisoo Jang, Mina Kim, Tien-Cuong Bui, Wen-Syan Li
Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees. PAKDD (2) (2023)
Van-Duc Le, Tien-Cuong Bui, Wen-Syan Li
Efficient ML Lifecycle Transferring for Large-Scale and High-Dimensional Data via Core Set-Based Dataset Similarity. IEEE Access 11 (2023)
Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li
Generating Real-Time Explanations for GNNs via Multiple Specialty Learners and Online Knowledge Distillation. IEEE Access 11 (2023)
Tien-Cuong Bui, Wen-Syan Li
Toward Interpretable Graph Neural Networks via Concept Matching Model. ICDM (2023)
Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai-Thien To
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System. CoRR (2022)
Tien-Cuong Bui, Wen-Syan Li, Sang-Kyun Cha
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes. CoRR (2022)
Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai-Thien To
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System. ECCV Workshops (7) (2022)
Youngjoon Park, DongKyu Lee, Tien-Cuong Bui
Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm. CoRR (2022)
Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li, Sang-Kyun Cha
Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation. CoRR (2022)
Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li, Sang-Kyun Cha
INGREX: An Interactive Explanation Framework for Graph Neural Networks. CoRR (2022)
Tien-Cuong Bui, Van-Duc Le, Hai-Thien To, Sang-Kyun Cha
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars. BigComp (2021)
Hai-Thien To, Khac-Hoai Nam Bui, Van-Duc Le, Tien-Cuong Bui, Wen-Syan Li, Sang-Kyun Cha
Real-Time Social Distancing Alert System Using Pose Estimation on Smart Edge Devices. ACIIDS (Companion) (2021)
Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha
Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction. BigComp (2020)
Tien-Cuong Bui, Van-Duc Le, Hai-Thien To, Sang-Kyun Cha
Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars. CoRR (2020)
Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, Junyoung Choi, Insoon Yang, Kyomin Jung, Sang-Kyun Cha
STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach. IntelliSys (2) (2020)
Jungwoo Pyo, Joohyun Lee, Youngjune Park, Tien-Cuong Bui, Sang-Kyun Cha
An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios. CoRR (2019)
Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha
Spatiotemporal deep learning model for citywide air pollution interpolation and prediction. CoRR (2019)
Tien-Cuong Bui, Van-Duc Le, Sang-Kyun Cha
A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM. CoRR (2018)