| 2025 | ACL | Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories. | Alperen Yildiz, Sin G. Teo, Yiling Lou, Yebo Feng, Chong Wang, Dinil Mon Divakaran |
| 2025 | GLOBECOM | High-accuracy AoA-based Localization using Hierarchical ML Classifiers in Outdoor Environments. | Bac Trinh-Nguyen, Sara Berri, Sin G. Teo, Tram Truong Huu, Arsenia Chorti |
| 2023 | ACNS | Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning. | Mao V. Ngo, Tram Truong Huu, Dima Rabadi, Jia Yi Loo, Sin G. Teo |
| 2023 | DASC | A Novel Feature Vector for AI-Assisted Windows Malware Detection. | Le Qi Yau, Yik Ting Lam, Ashwin Lokesh, Prannaya Gupta, Justin Lim, Ishneet Sukhvinder Singh, Jia Yi Loo, Mao V. Ngo, Sin G. Teo, Tram Truong Huu |
| 2023 | ICDM | PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. | Yubo Hou, Tram Truong Huu, Zhenghua Chen, Chee-Keong Kwoh, Sin G. Teo |
| 2023 | ICECCS | Supervised Robustness-preserving Data-free Neural Network Pruning. | Mark Huasong Meng, Guangdong Bai, Sin G. Teo, Jin Song Dong |
| 2023 | NDSS | Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers. | Mark Huasong Meng, Qing Zhang, Guangshuai Xia, Yuwei Zheng, Yanjun Zhang, Guangdong Bai, Zhi Liu, Sin G. Teo, Jin Song Dong |
| 2023 | PAKDD | Enhancing Federated Learning Robustness Using Data-Agnostic Model Pruning. | Mark Huasong Meng, Sin G. Teo, Guangdong Bai, Kailong Wang, Jin Song Dong |
| 2022 | ICDM | Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model. | Yuchen Lan, Tram Truong Huu, Jiyan Wu, Sin G. Teo |
| 2022 | NSS | Detecting Contradictions from CoAP RFC Based on Knowledge Graph. | Xinguo Feng, Yanjun Zhang, Mark Huasong Meng, Sin G. Teo |
| 2020 | ACSAC | Advanced Windows Methods on Malware Detection and Classification. | Dima Rabadi, Sin G. Teo |
| 2020 | ICDE | DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract). | Sin G. Teo, Jianneng Cao, Vincent C. S. Lee |
| 2019 | AAAI | Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. | Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng |
| 2018 | ICDM | Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. | Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng |
| 2018 | KDD | Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions. | Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi |
| 2017 | ADMA | Privacy and Utility Preservation for Location Data Using Stay Region Analysis. | Manoranjan Dash, Sin G. Teo |
| 2017 | APCC | Cloud-of-clouds based resource provisioning strategy for continuous write applications. | Zeng Zeng, Bharadwaj Veeravalli, Samee U. Khan, Sin G. Teo |
| 2015 | ICWS | DAG: A Model for Privacy Preserving Computation. | Sin G. Teo, Jianneng Cao, Vincent C. S. Lee |
| 2012 | AINA | A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining. | Sin G. Teo, Vincent C. S. Lee, Shuguo Han |