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Cong Tran
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2020 – today
- 2024
- [j11]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): 150-162 (2024) - [j10]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): 3148-3160 (2024) - 2023
- [j9]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): 28241-28253 (2023) - [j8]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): 15292-15307 (2023) - [c11]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: 254-259 - [i17]Yu Hou, Cong Tran, Ming Li, Won-Yong Shin:
Graph Neural Network-Aided Exploratory Learning for Community Detection with Unknown Topology. CoRR abs/2304.04497 (2023) - [i16]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Node Feature Augmentation Vitaminizes Network Alignment. CoRR abs/2304.12751 (2023) - [i15]Ngan Dao Hoang, Dat Tran-Anh, Manh Luong, Cong Tran, Cuong Pham:
Federated Few-shot Learning for Cough Classification with Edge Devices. CoRR abs/2309.01076 (2023) - [i14]Son Tran, Cong Tran, Anh Dat Tran, Cuong Pham:
UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance. CoRR abs/2309.01078 (2023) - 2022
- [j7]Dat Tran-An, 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: 120200-120212 (2022) - [j6]Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz:
${\sf DeepNC}$DeepNC: Deep Generative Network Completion. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1837-1852 (2022) - [j5]Cong Tran, Won-Yong Shin, Andreas Spitz:
Community Detection in Partially Observable Social Networks. ACM Trans. Knowl. Discov. Data 16(2): 22:1-22:24 (2022) - [c10]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). AAAI 2022: 13027-13028 - [c9]Yu Hou, Cong Tran, Won-Yong Shin:
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CIKM 2022: 4034-4038 - [c8]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. CIKM 2022: 4374-4378 - [c7]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: 329-335 - [i13]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. CoRR abs/2201.10945 (2022) - [i12]Yu Hou, Cong Tran, Won-Yong Shin:
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. CoRR abs/2208.11015 (2022) - [i11]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. CoRR abs/2208.11025 (2022) - 2021
- [j4]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: 106710 (2021) - [c6]Cong Tran, Won-Yong Shin:
Network Completion: Beyond Matrix Completion. ICOIN 2021: 667-670 - [i10]Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao:
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR abs/2104.05225 (2021) - [i9]Cong Tran, Won-Yong Shin, Andreas Spitz:
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology. CoRR abs/2106.02926 (2021) - 2020
- [i8]Cong Tran, Dung Do Vu, Won-Yong Shin:
An Improved Approach for Estimating Social POI Boundaries With Textual Attributes on Social Media. CoRR abs/2012.09990 (2020)
2010 – 2019
- 2019
- [j3]Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim:
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. IEEE Access 7: 62115-62125 (2019) - [i7]Cong Tran, Jang-Young Kim, Won-Yong Shin, Sang-Wook Kim:
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model. CoRR abs/1905.01990 (2019) - [i6]Cong Tran, Won-Yong Shin, Andreas Spitz, Michael Gertz:
DeepNC: Deep Generative Network Completion. CoRR abs/1907.07381 (2019) - 2018
- [j2]Cong Tran, Won-Yong Shin, Sang-Il Choi:
DIR-ST2: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. IEEE Access 6: 36364-36375 (2018) - [i5]Cong Tran, Won-Yong Shin, Andreas Spitz:
Community Detection in Partially Observable Social Networks. CoRR abs/1801.00132 (2018) - [i4]Cong Tran, Won-Yong Shin, Sang-Il Choi:
DIR-ST2: Delineation of Imprecise Regions Using Spatio-Temporal-Textual Information. CoRR abs/1806.03482 (2018) - 2010
- [c5]The Duy Bui, Duc Hai Ngo, Cong Tran:
Multi-agent Based Simulation of Traffic in Vietnam. PRIMA 2010: 636-648
2000 – 2009
- 2004
- [j1]Cong Tran, Ajith Abraham, Lakhmi C. Jain:
Decision support systems using hybrid neurocomputing. Neurocomputing 61: 85-97 (2004) - [i3]Cong Tran, Ajith Abraham, Lakhmi C. Jain:
A Concurrent Fuzzy-Neural Network Approach for Decision Support Systems. CoRR cs.AI/0405026 (2004) - [i2]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 cs.AI/0405031 (2004) - [i1]Cong Tran, Ajith Abraham, Lakhmi C. Jain:
Decision Support Systems Using Intelligent Paradigms. CoRR cs.AI/0405052 (2004) - 2003
- [c4]Cong Tran, Ajith Abraham, Lakhmi C. Jain:
A concurrent fuzzy-neural network approach for decision support systems. FUZZ-IEEE 2003: 1092-1097 - [c3]Cong Tran, Ajith Abraham, Lakhmi C. Jain:
Decision Support Systems Using Hybrid Neurocomputing. HIS 2003: 116-125 - 2002
- [c2]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: 672-680 - 2001
- [c1]Cong Tran, Lakhmi C. Jain, Ajith Abraham:
Adaptive Database Learning in Decision Support Systems Using Evolutionary Fuzzy Systems: A Generic Framework. HIS 2001: 237-251
Coauthor Index
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last updated on 2024-05-19 00:11 CEST by the dblp team
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