Cong Tran

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 30

Top Topics

Community Detection

Influence Maximization

Text Recognition

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Cong Tran, Won-Yong Shin, Andreas Spitz
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. IEEE Trans. Netw. Sci. Eng. 11 (3) (2024)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
Node Feature Augmentation Vitaminizes Network Alignment. CoRR (2023)
Ngan Dao Hoang, Dat Tran-Anh, Tien-Dung Do, Cong Tran, Cuong Pham
Learning to Classify Cough Sounds with Dictionary-Guided Meta-Learning. RIVF (2023)
Yu Hou, Cong Tran, Ming Li, Won-Yong Shin
Graph Neural Network-Aided Exploratory Learning for Community Detection with Unknown Topology. CoRR (2023)
Son Tran, Cong Tran, Anh Dat Tran, Cuong Pham
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance. CoRR (2023)
Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran, Cuong Pham
Federated Few-shot Learning for Cough Classification with Edge Devices. CoRR (2023)
Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran, Cuong Pham
Federated few-shot learning for cough classification with edge devices. Appl. Intell. 53 (23) (2023)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. CoRR (2022)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. CIKM (2022)
Anh Dat Tran, Bao Bui-Quoc, Anh Vu-Duc, Trung-Anh Do, Viet Hung Nguyen, Nam Vu Hoai, Cong Tran
Integrative Few-Shot Classification and Segmentation for Landslide Detection. IEEE Access 10 (2022)
Cong Tran, Won-Yong Shin, Andreas Spitz
Community Detection in Partially Observable Social Networks. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Yu Hou, Cong Tran, Won-Yong Shin
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CoRR (2022)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). AAAI (2022)
Yu Hou, Cong Tran, Won-Yong Shin
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CIKM (2022)
Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
${\sf DeepNC}$DeepNC: Deep Generative Network Completion. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Cong Tran, Khanh Nguyen Trong, Cuong Pham, Dat Tran-Anh, Tien Nguyen-Thi-Tan
Improving text recognition by combining visual and linguistic features of text. SoICT (2022)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. CoRR (2022)
Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR (2021)
Cong Tran, Won-Yong Shin
Network Completion: Beyond Matrix Completion. ICOIN (2021)
Cong Tran, Won-Yong Shin, Andreas Spitz
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. CoRR (2021)
Cong Tran, Dung Do Vu, Won-Yong Shin
An improved approach for estimating social POI boundaries with textual attributes on social media. Knowl. Based Syst. 213 (2021)
Cong Tran, Dung Do Vu, Won-Yong Shin
An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media. CoRR (2020)
Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. CoRR (2019)
Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
DeepNC: Deep Generative Network Completion. CoRR (2019)
Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. IEEE Access 7 (2019)
Cong Tran, Won-Yong Shin, Sang-Il Choi
: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. CoRR (2018)
Cong Tran, Won-Yong Shin, Sang-Il Choi
: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. IEEE Access 6 (2018)
Cong Tran, Won-Yong Shin, Andreas Spitz
Community Detection in Partially Observable Social Networks. CoRR (2018)
The Duy Bui, Duc Hai Ngo, Cong Tran
Multi-agent Based Simulation of Traffic in Vietnam. PRIMA (2010)
Cong Tran, Ajith Abraham, Lakhmi C. Jain
Decision support systems using hybrid neurocomputing. Neurocomputing 61 (2004)
Cong Tran, Lakhmi C. Jain, Ajith Abraham
Adaptation of Mamdani Fuzzy Inference System Using Neuro - Genetic Approach for Tactical Air Combat Decision Support System CoRR (2004)
Cong Tran, Ajith Abraham, Lakhmi C. Jain
A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems CoRR (2004)
Cong Tran, Ajith Abraham, Lakhmi C. Jain
Decision Support Systems Using Intelligent Paradigms CoRR (2004)
Cong Tran, Ajith Abraham, Lakhmi C. Jain
A concurrent fuzzy-neural network approach for decision support systems. FUZZ-IEEE (2003)
Cong Tran, Ajith Abraham, Lakhmi C. Jain
Decision Support Systems Using Hybrid Neurocomputing. HIS (2003)
Cong Tran, Ajith Abraham, Lakhmi C. Jain
Adaptation of a Mamdani Fuzzy Inference System Using Neuro-Genetic Approach for Tactical Air Combat Decision Support System. Australian Joint Conference on Artificial Intelligence (2002)
Cong Tran, Lakhmi C. Jain, Ajith Abraham
Adaptive Database Learning in Decision Support Systems Using Evolutionary Fuzzy Systems: A Generic Framework. HIS (2001)