Tien-Cuong Bui

According to our database, Tien-Cuong Bui authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence.

Tien-Cuong Bui, Wen-Syan Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2024

Human-Driven Active Verification for Efficient and Trustworthy Graph Classification.

Tien-Cuong Bui, Wen-Syan Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

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

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

Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees.

Jisoo Jang, Mina Kim, Tien-Cuong Bui, Wen-Syan Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Toward Interpretable Graph Neural Networks via Concept Matching Model.

Tien-Cuong Bui, Wen-Syan Li

Proceedings of the IEEE International Conference on Data Mining, 2023

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 Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation.

Tien-Cuong Bui, Van-Duc Le, 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

PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes.

Tien-Cuong Bui, Wen-Syan Li, Sang-Kyun Cha

CoRR, 2022

Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System.

Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai-Thien To

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

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

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

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

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

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

Proceedings of the Intelligent Systems and Applications, 2020

Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction.

Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

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

2018

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