Cong Tran

According to our database, Cong Tran authored at least 28 papers between 2001 and 2024.

Collaborative distances:

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

2024

Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes.

Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao

IEEE Trans. Emerg. Top. Comput., 2024

2023

On the Power of Gradual Network Alignment Using Dual-Perception Similarities.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Federated few-shot learning for cough classification with edge devices.

Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran, Cuong Pham

Appl. Intell., December, 2023

UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance.

Son Tran, Cong Tran, Anh Dat Tran, Cuong Pham

CoRR, 2023

Node Feature Augmentation Vitaminizes Network Alignment.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

CoRR, 2023

Graph Neural Network-Aided Exploratory Learning for Community Detection with Unknown Topology.

Yu Hou, Cong Tran, Ming Li, Won-Yong Shin

CoRR, 2023

Learning to Classify Cough Sounds with Dictionary-Guided Meta-Learning.

Ngan Dao Hoang, Dat Tran-Anh, Tien-Dung Do, Cong Tran, Cuong Pham

Proceedings of the International Conference on Computing and Communication Technologies, 2023

2022

Community Detection in Partially Observable Social Networks.

Cong Tran, Won-Yong Shin, Andreas Spitz

ACM Trans. Knowl. Discov. Data, 2022

${\sf DeepNC}$DeepNC: Deep Generative Network Completion.

Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

CoRR, 2022

Integrative Few-Shot Classification and Segmentation for Landslide Detection.

Dat Tran-An, Bao Bui-Quoc, Anh Vu-Duc, Trung-Anh Do, Viet Hung Nguyen, Nam Vu Hoai, Cong Tran

IEEE Access, 2022

Improving text recognition by combining visual and linguistic features of text.

Cong Tran, Khanh Nguyen Trong, Cuong Pham, Dat Tran-Anh, Tien Nguyen-Thi-Tan

Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation.

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks.

Yu Hou, Cong Tran, Won-Yong Shin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract).

Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology.

Cong Tran, Won-Yong Shin, Andreas Spitz

CoRR, 2021

Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding.

Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao

CoRR, 2021

Network Completion: Beyond Matrix Completion.

Cong Tran, Won-Yong Shin

Proceedings of the International Conference on Information Networking, 2021

2019

DeepNC: Deep Generative Network Completion.

Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz

CoRR, 2019

Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model.

Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim

IEEE Access, 2019

2018

DIR-ST²: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information.

Cong Tran, Won-Yong Shin, Sang-Il Choi

IEEE Access, 2018

2010

Multi-agent Based Simulation of Traffic in Vietnam.

The Duy Bui, Duc Hai Ngo, Cong Tran

Proceedings of the Principles and Practice of Multi-Agent Systems, 2010

2004

Decision support systems using hybrid neurocomputing.

Cong Tran, Ajith Abraham, Lakhmi C. Jain

Neurocomputing, 2004

Decision Support Systems Using Intelligent Paradigms

Cong Tran, Ajith Abraham, Lakhmi C. Jain

CoRR, 2004

2003

A concurrent fuzzy-neural network approach for decision support systems.

Cong Tran, Ajith Abraham, Lakhmi C. Jain

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002

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

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

Adaptive Database Learning in Decision Support Systems Using Evolutionary Fuzzy Systems: A Generic Framework.

Cong Tran, Lakhmi C. Jain, Ajith Abraham

Proceedings of the Hybrid Information Systems, 2001