Adaptive Database Learning in Decision Support Systems Using Evolutionary Fuzzy Systems: A Generic Framework. - Cong Tran; Lakhmi C. Jain; Ajith Abraham (HIS, 2001)

Adaptation of a Mamdani Fuzzy Inference System Using Neuro-Genetic Approach for Tactical Air Combat Decision Support System. - Cong Tran; Ajith Abraham; Lakhmi C. Jain (Australian Joint Conference on Artificial Intelligence, 2002)

A concurrent fuzzy-neural network approach for decision support systems. - Cong Tran; Ajith Abraham; Lakhmi C. Jain (FUZZ-IEEE, 2003)

Decision Support Systems Using Intelligent Paradigms - Cong Tran; Ajith Abraham; Lakhmi C. Jain (CoRR, 2004)

Decision support systems using hybrid neurocomputing. - Cong Tran; Ajith Abraham; Lakhmi C. Jain (Neurocomputing, 2004)

Multi-agent Based Simulation of Traffic in Vietnam. - The Duy Bui; Duc Hai Ngo; Cong Tran (PRIMA, 2010)

DIR-ST2: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. - Cong Tran; Won-Yong Shin; Sang-Il Choi (IEEE Access, 2018)

Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. - Cong Tran; Jang-Young Kim; Won-Yong Shin; Sang-Wook Kim (IEEE Access, 2019)

DeepNC: Deep Generative Network Completion. - Cong Tran; Won-Yong Shin; Andreas Spitz; Michael Gertz 001 (CoRR, 2019)

Network Completion: Beyond Matrix Completion. - Cong Tran; Won-Yong Shin (ICOIN, 2021)

Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. - Yong-Min Shin; Cong Tran; Won-Yong Shin; Xin Cao 001 (CoRR, 2021)

An improved approach for estimating social POI boundaries with textual attributes on social media. - Cong Tran; Dung Do Vu; Won-Yong Shin (Knowl. Based Syst., 2021)

Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (AAAI, 2022)

META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. - Yu Hou; Cong Tran; Won-Yong Shin (CIKM, 2022)

GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (CIKM, 2022)

Improving text recognition by combining visual and linguistic features of text. - Cong Tran; Khanh Nguyen Trong; Cuong Pham 001; Dat Tran-Anh; Tien Nguyen-Thi-Tan (SoICT, 2022)

Integrative Few-Shot Classification and Segmentation for Landslide Detection. - Dat Tran-Anh; Bao Bui-Quoc; Anh Vu-Duc; Trung-Anh Do; Viet Hung Nguyen; Hoai-Nam Vu; Cong Tran (IEEE Access, 2022)

Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (CoRR, 2022)

${ sf DeepNC}$DeepNC: Deep Generative Network Completion. - Cong Tran; Won-Yong Shin; Andreas Spitz; Michael Gertz 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Community Detection in Partially Observable Social Networks. - Cong Tran; Won-Yong Shin; Andreas Spitz (ACM Trans. Knowl. Discov. Data, 2022)

Learning to Classify Cough Sounds with Dictionary-Guided Meta-Learning. - Ngan Dao Hoang; Dat Tran-Anh; Tien-Dung Do; Cong Tran; Cuong Pham 001 (RIVF, 2023)

Graph Neural Network-Aided Exploratory Learning for Community Detection with Unknown Topology. - Yu Hou; Cong Tran; Ming Li 026; Won-Yong Shin (CoRR, 2023)

Node Feature Augmentation Vitaminizes Network Alignment. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (CoRR, 2023)

UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance. - Son Tran; Cong Tran; Anh Dat Tran; Cuong Pham 001 (CoRR, 2023)

Federated few-shot learning for cough classification with edge devices. - Ngan Dao Hoang; Dat Tran-Anh; Manh Luong; Cong Tran; Cuong Pham 001 (Appl. Intell., 2023)

On the Power of Gradual Network Alignment Using Dual-Perception Similarities. - Jin-Duk Park; Cong Tran; Won-Yong Shin; Xin Cao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Active Learning Framework for Incomplete Networks. - Tung Khong; Cong Tran; Cuong Pham 001 (UAI, 2024)

Enhancing Fine-grained Image Classification through Attentive Batch Training. - Duy M. Le; Bao Q. Bui; Anh Tran 001; Cong Tran; Cuong Pham 001 (CoRR, 2024)

Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. - Yong-Min Shin; Cong Tran; Won-Yong Shin; Xin Cao 001 (IEEE Trans. Emerg. Top. Comput., 2024)

IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. - Cong Tran; Won-Yong Shin; Andreas Spitz (IEEE Trans. Netw. Sci. Eng., 2024)

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. - Huyen Nguyen; Hieu Dam; Nguyen Hoang Khoi Do; Cong Tran; Cuong Pham 001 (AAAI, 2025)

A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty. - Yu Hou; Cong Tran; Ming Li 065; Won-Yong Shin (IEEE Trans. Netw. Sci. Eng., 2025)

Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques. - Bao Q. Bui; Tien T. T. Nguyen; Duy M. Le; Cong Tran; Cuong Pham 001 (CoRR, 2025)

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. - Huyen Nguyen; Hieu Dam; Nguyen Do; Cong Tran; Cuong Pham 001 (CoRR, 2025)

A4O: All Trigger for One sample. - Duc Anh Vu; Anh Tuan Tran 001; Cong Tran; Cuong Pham 001 (CoRR, 2025)