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Sin G. Teo
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Year
Gated residual recurrent graph neural networks for traffic prediction
C Chen, K Li, SG Teo, X Zou, K Wang, J Wang, Z Zeng
Proceedings of the AAAI conference on artificial intelligence 33 (01), 485-492, 2019
2302019
Citywide traffic flow prediction based on multiple gated spatio-temporal convolutional neural networks
C Chen, K Li, SG Teo, X Zou, K Li, Z Zeng
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-23, 2020
1662020
Exploiting spatio-temporal correlations with multiple 3d convolutional neural networks for citywide vehicle flow prediction
C Chen, K Li, SG Teo, G Chen, X Zou, X Yang, RC Vijay, J Feng, Z Zeng
2018 IEEE international conference on data mining (ICDM), 893-898, 2018
862018
Deep learning for practical image recognition: Case study on kaggle competitions
X Yang, Z Zeng, SG Teo, L Wang, V Chandrasekhar, S Hoi
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
662018
Advanced windows methods on malware detection and classification
D Rabadi, SG Teo
Proceedings of the 36th Annual Computer Security Applications Conference, 54-68, 2020
372020
An empirical study on unsupervised network anomaly detection using generative adversarial networks
T Truong-Huu, N Dheenadhayalan, P Pratim Kundu, V Ramnath, J Liao, ...
Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial …, 2020
292020
DAG: a general model for privacy-preserving data mining
SG Teo, J Cao, VCS Lee
IEEE Transactions on Knowledge and Data Engineering 32 (1), 40-53, 2018
282018
Adversarial robustness of deep neural networks: A survey from a formal verification perspective
MH Meng, G Bai, SG Teo, Z Hou, Y Xiao, Y Lin, JS Dong
IEEE Transactions on Dependable and Secure Computing, 2022
272022
Detection and classification of botnet traffic using deep learning with model explanation
PP Kundu, T Truong-Huu, L Chen, L Zhou, SG Teo
IEEE Transactions on Dependable and Secure Computing, 2022
232022
Privacy preserving support vector machine using non-linear kernels on hadoop mahout
SG Teo, S Han, VCS Lee
2013 IEEE 16th international conference on computational science and …, 2013
222013
A study of efficiency and accuracy of secure multiparty protocol in privacy-preserving data mining
SG Teo, V Lee, S Han
2012 26th International Conference on Advanced Information Networking and …, 2012
142012
Reshnet: Spectrograms based efficient heart sounds classification using stacked residual networks
A Balamurugan, SG Teo, J Yang, Z Peng, Y Xulei, Z Zeng
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
122019
ENAD: An ensemble framework for unsupervised network anomaly detection
J Liao, SG Teo, PP Kundu, T Truong-Huu
2021 IEEE International Conference on Cyber Security and Resilience (CSR), 81-88, 2021
112021
PPTPF: Privacy-preserving trajectory publication framework for CDR mobile trajectories
J Yang, M Dash, SG Teo
ISPRS International Journal of Geo-Information 10 (4), 224, 2021
102021
LSTMSPLIT: effective SPLIT learning based LSTM on sequential time-series data
L Jiang, Y Wang, W Zheng, C Jin, Z Li, SG Teo
arXiv preprint arXiv:2203.04305, 2022
72022
Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers.
MH Meng, Q Zhang, G Xia, Y Zheng, Y Zhang, G Bai, Z Liu, SG Teo, ...
NDSS, 2023
52023
A blockchain-enabled quantitative approach to trust and reputation management with sparse evidence
L Zeynalvand, T Luo, E Andrejczuk, D Niyato, SG Teo, J Zhang
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
52021
Handling labeled data insufficiency: Semi-supervised learning with self-training mixup decision tree for classification of network attacking traffic
Y Hou, SG Teo, Z Chen, M Wu, CK Kwoh, T Truong-Huu
IEEE Transactions on Dependable and Secure Computing, 2022
42022
Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model
Y Lan, T Truong-Huu, J Wu, SG Teo
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-7, 2022
32022
Towards end-to-end secure and efficient federated learning for xgboost
C Jin, J Wang, SG Teo, L Zhang, C Chan, Q Hou, KMM Aung
Proceedings of the AAAI International Workshop on Trustable, Verifiable and …, 2022
32022
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