Cong Tran - RankMe

50 papers A* 2A 3B 2C 2Journal 37Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Centrality-Based Node Feature Augmentation for Robust Network Alignment. IEEE Trans. Netw. Sci. Eng. Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2026	J	`jnl`	Emotion-Aware Classroom Quality Assessment Leveraging IoT-Based Real-Time Student Monitoring. CoRR Hai Nguyen, Hieu Dao, Hung Nguyen, Nam Vu, Cong Tran
2026	J	`jnl`	Enhancing fine-grained image classification through attentive batch training. ICT Express Duy M. Le, Bao Q. Bui, Anh Tuan Tran, Cong Tran, Cuong Pham
2025	J	`jnl`	A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty. IEEE Trans. Netw. Sci. Eng. Yu Hou, Cong Tran, Ming Li, Won-Yong Shin
2025	J	`jnl`	A4O: All Trigger for One sample. CoRR Duc Anh Vu, Anh Tuan Tran, Cong Tran, Cuong Pham
2025	J	`jnl`	Innovative Silicosis and Pneumonia Classification: Leveraging Graph Transformer Post-hoc Modeling and Ensemble Techniques. CoRR Bao Q. Bui, Tien T. T. Nguyen, Duy M. Le, Cong Tran, Cuong Pham
2025	J	`jnl`	LiveNeRF: Efficient Face Replacement Through Neural Radiance Fields Integration. CoRR Tung Vu, Hai Nguyen, Cong Tran
2025	A*	`conf`	REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. AAAI Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do, Cong Tran, Cuong Pham
2025	J	`jnl`	REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization. CoRR Huyen Nguyen, Hieu Dam, Nguyen Do, Cong Tran, Cuong Pham
2024	A	`conf`	Active Learning Framework for Incomplete Networks. UAI Tung Khong, Cong Tran, Cuong Pham
2024	J	`jnl`	Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. IEEE Trans. Emerg. Top. Comput. Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
2024	J	`jnl`	Enhancing Fine-grained Image Classification through Attentive Batch Training. CoRR Duy M. Le, Bao Q. Bui, Anh Tran, Cong Tran, Cuong Pham
2024	J	`jnl`	IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. IEEE Trans. Netw. Sci. Eng. Cong Tran, Won-Yong Shin, Andreas Spitz
2023	J	`jnl`	Federated Few-shot Learning for Cough Classification with Edge Devices. CoRR Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran, Cuong Pham
2023	J	`jnl`	Federated few-shot learning for cough classification with edge devices. Appl. Intell. Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran, Cuong Pham
2023	J	`jnl`	Graph Neural Network-Aided Exploratory Learning for Community Detection with Unknown Topology. CoRR Yu Hou, Cong Tran, Ming Li, Won-Yong Shin
2023	—	`conf`	Learning to Classify Cough Sounds with Dictionary-Guided Meta-Learning. RIVF Ngan Dao Hoang, Dat Tran-Anh, Tien-Dung Do, Cong Tran, Cuong Pham
2023	J	`jnl`	Node Feature Augmentation Vitaminizes Network Alignment. CoRR Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2023	J	`jnl`	On the Power of Gradual Network Alignment Using Dual-Perception Similarities. IEEE Trans. Pattern Anal. Mach. Intell. Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2023	J	`jnl`	UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance. CoRR Son Tran, Cong Tran, Anh Dat Tran, Cuong Pham
2022	J	`jnl`	${\sf DeepNC}$DeepNC: Deep Generative Network Completion. IEEE Trans. Pattern Anal. Mach. Intell. Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
2022	J	`jnl`	Community Detection in Partially Observable Social Networks. ACM Trans. Knowl. Discov. Data Cong Tran, Won-Yong Shin, Andreas Spitz
2022	J	`jnl`	Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. CoRR Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022	A*	`conf`	Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). AAAI Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022	A	`conf`	GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. CIKM Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022	—	`conf`	Improving text recognition by combining visual and linguistic features of text. SoICT Cong Tran, Khanh Nguyen Trong, Cuong Pham, Dat Tran-Anh, Tien Nguyen-Thi-Tan
2022	J	`jnl`	Integrative Few-Shot Classification and Segmentation for Landslide Detection. IEEE Access Dat Tran-Anh, Bao Bui-Quoc, Anh Vu-Duc, Trung-Anh Do, Viet Hung Nguyen, Hoai-Nam Vu, Cong Tran
2022	A	`conf`	META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CIKM Yu Hou, Cong Tran, Won-Yong Shin
2022	J	`jnl`	META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CoRR Yu Hou, Cong Tran, Won-Yong Shin
2022	J	`jnl`	On the Power of Gradual Network Alignment Using Dual-Perception Similarities. CoRR Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2021	J	`jnl`	An improved approach for estimating social POI boundaries with textual attributes on social media. Knowl. Based Syst. Cong Tran, Dung Do Vu, Won-Yong Shin
2021	J	`jnl`	Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
2021	J	`jnl`	IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. CoRR Cong Tran, Won-Yong Shin, Andreas Spitz
2021	—	`conf`	Network Completion: Beyond Matrix Completion. ICOIN Cong Tran, Won-Yong Shin
2020	J	`jnl`	An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media. CoRR Cong Tran, Dung Do Vu, Won-Yong Shin
2019	J	`jnl`	Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. IEEE Access Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim
2019	J	`jnl`	Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. CoRR Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim
2019	J	`jnl`	DeepNC: Deep Generative Network Completion. CoRR Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz
2018	J	`jnl`	Community Detection in Partially Observable Social Networks. CoRR Cong Tran, Won-Yong Shin, Andreas Spitz
2018	J	`jnl`	DIR-ST IEEE Access Cong Tran, Won-Yong Shin, Sang-Il Choi
2018	J	`jnl`	DIR-ST CoRR Cong Tran, Won-Yong Shin, Sang-Il Choi
2010	B	`conf`	Multi-agent Based Simulation of Traffic in Vietnam. PRIMA The Duy Bui, Duc Hai Ngo, Cong Tran
2004	J	`jnl`	A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems CoRR Cong Tran, Ajith Abraham, Lakhmi C. Jain
2004	J	`jnl`	Adaptation of Mamdani Fuzzy Inference System Using Neuro - Genetic Approach for Tactical Air Combat Decision Support System CoRR Cong Tran, Lakhmi C. Jain, Ajith Abraham
2004	J	`jnl`	Decision Support Systems Using Intelligent Paradigms CoRR Cong Tran, Ajith Abraham, Lakhmi C. Jain
2004	J	`jnl`	Decision support systems using hybrid neurocomputing. Neurocomputing Cong Tran, Ajith Abraham, Lakhmi C. Jain
2003	B	`conf`	A concurrent fuzzy-neural network approach for decision support systems. FUZZ-IEEE Cong Tran, Ajith Abraham, Lakhmi C. Jain
2003	C	`conf`	Decision Support Systems Using Hybrid Neurocomputing. HIS Cong Tran, Ajith Abraham, Lakhmi C. Jain
2002	—	`conf`	Adaptation of a Mamdani Fuzzy Inference System Using Neuro-Genetic Approach for Tactical Air Combat Decision Support System. Australian Joint Conference on Artificial Intelligence Cong Tran, Ajith Abraham, Lakhmi C. Jain
2001	C	`conf`	Adaptive Database Learning in Decision Support Systems Using Evolutionary Fuzzy Systems: A Generic Framework. HIS Cong Tran, Lakhmi C. Jain, Ajith Abraham