Tien-Cuong Bui

24 papers A* 1Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IgPose: A Generative Data-Augmented Pipeline for Robust Immunoglobulin-Antigen Binding Prediction. CoRR Tien-Cuong Bui, Injae Chung, Wonjun Lee, Junsu Ko, Juyong Lee
2026	J	`jnl`	IgPose: a generative data-augmented pipeline for robust immunoglobulin-antigen binding prediction. Bioinform. Tien-Cuong Bui, Injae Chung, Wonjun Lee, Junsu Ko, Juyong Lee
2025	J	`jnl`	Enhancing Explainability of Graph Neural Networks Through Conceptual and Structural Analyses and Their Extensions. CoRR Tien-Cuong Bui
2025	J	`jnl`	Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG. CoRR Jisoo Jang, Tien-Cuong Bui, Yunjun Choi, Wen-Syan Li
2024	—	`conf`	Human-Driven Active Verification for Efficient and Trustworthy Graph Classification. PAKDD (1) Tien-Cuong Bui, Wen-Syan Li
2024	—	`conf`	Toward Interpretable Graph Classification via Concept-Focused Structural Correspondence. PAKDD (Workshops) Tien-Cuong Bui, Wen-Syan Li
2023	J	`jnl`	Efficient ML Lifecycle Transferring for Large-Scale and High-Dimensional Data via Core Set-Based Dataset Similarity. IEEE Access Van-Duc Le, Tien-Cuong Bui, Wen-Syan Li
2023	J	`jnl`	Generating Real-Time Explanations for GNNs via Multiple Specialty Learners and Online Knowledge Distillation. IEEE Access Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li
2023	A*	`conf`	Toward Interpretable Graph Neural Networks via Concept Matching Model. ICDM Tien-Cuong Bui, Wen-Syan Li
2023	—	`conf`	Toward Interpretable Machine Learning: Constructing Polynomial Models Based on Feature Interaction Trees. PAKDD (2) Jisoo Jang, Mina Kim, Tien-Cuong Bui, Wen-Syan Li
2022	J	`jnl`	INGREX: An Interactive Explanation Framework for Graph Neural Networks. CoRR Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li, Sang-Kyun Cha
2022	J	`jnl`	Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm. CoRR Youngjoon Park, Dongkyu Lee, Tien-Cuong Bui
2022	J	`jnl`	PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes. CoRR Tien-Cuong Bui, Wen-Syan Li, Sang-Kyun Cha
2022	J	`jnl`	Toward Multiple Specialty Learners for Explaining GNNs via Online Knowledge Distillation. CoRR Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li, Sang-Kyun Cha
2022	—	`conf`	Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System. ECCV Workshops (7) Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai-Thien To
2022	J	`jnl`	Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System. CoRR Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai-Thien To
2021	—	`conf`	Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars. BigComp Tien-Cuong Bui, Van-Duc Le, Hai-Thien To, Sang-Kyun Cha
2021	—	`conf`	Real-Time Social Distancing Alert System Using Pose Estimation on Smart Edge Devices. ACIIDS (Companion) Hai-Thien To, Khac-Hoai Nam Bui, Van-Duc Le, Tien-Cuong Bui, Wen-Syan Li, Sang-Kyun Cha
2020	J	`jnl`	Generative Pre-training for Paraphrase Generation by Representing and Predicting Spans in Exemplars. CoRR Tien-Cuong Bui, Van-Duc Le, Hai-Thien To, Sang-Kyun Cha
2020	—	`conf`	STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach. IntelliSys (2) Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, Junyoung Choi, Insoon Yang, Kyomin Jung, Sang-Kyun Cha
2020	—	`conf`	Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction. BigComp Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha
2019	J	`jnl`	An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios. CoRR Jungwoo Pyo, Joohyun Lee, Youngjune Park, Tien-Cuong Bui, Sang-Kyun Cha
2019	J	`jnl`	Spatiotemporal deep learning model for citywide air pollution interpolation and prediction. CoRR Van-Duc Le, Tien-Cuong Bui, Sang-Kyun Cha
2018	J	`jnl`	A Deep Learning Approach for Air Pollution Forecasting in South Korea Using Encoder-Decoder Networks & LSTM. CoRR Tien-Cuong Bui, Van-Duc Le, Sang-Kyun Cha