Sin G. Teo

951 citations

27 papers · 638 · h-index 10

Impact in

Transportation top 2%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
Building and Construction top 5%
- Traffic Prediction and Management Techniques

Papers in

Artificial Intelligence 17
- Privacy-Preserving Technologies in Data 6
- Cryptography and Data Security 5
- Internet Traffic Analysis and Secure E-voting 5
- Anomaly Detection Techniques and Applications 5
Computer Networks and Communications 12
- Network Security and Intrusion Detection 10

Co-authors: Zeng Zeng (6 shared papers)Xiaofeng Zou (4 shared papers)Cen Chen (3 shared papers)Kenli Li (3 shared papers)Keqin Li (1 shared paper)Kang Wang (1 shared paper)Jie Wang (1 shared paper)Tram Truong-Huu (8 shared papers)
Journals: IEEE Transactions on Dependable and Secure Computing (3 papers)Journal of Information Security and Applications (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Software Practice and Experience (1 paper)Autonomous Agents and Multi-Agent Systems (1 paper)
Partner nations: Singapore Australia China

In The Last Decade

Sin G. Teo

22 papers receiving 616 citations

Peers

Countries citing papers authored by Sin G. Teo

Since Specialization

Citations

This map shows the geographic impact of Sin G. Teo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sin G. Teo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sin G. Teo more than expected).

Fields of papers citing papers by Sin G. Teo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin G. Teo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sin G. Teo. The network helps show where Sin G. Teo may publish in the future.

Co-authors

The 25 scholars most cited alongside Sin G. Teo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sin G. Teo Line = papers co-authored together Sin G. Teo links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

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#	Work
1	Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks ACM Transactions on Knowledge Discovery from Data ·Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng	2020	183
2	Gated Residual Recurrent Graph Neural Networks for Traffic Prediction Proceedings of the AAAI Conference on Artificial Intelligence ·Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng	2019	167
3	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	61
4	Deep Learning for Practical Image Recognition Singapore Management University Institutional Knowledge (InK) (Singapore Management University) ·Xulei Yang, Zeng Zeng, Sin G. Teo, Li Wang, Vijay Chandrasekhar, Steven C. H. Hoi	2018	36
5	Detection and Classification of Botnet Traffic using Deep Learning with Model Explanation IEEE Transactions on Dependable and Secure Computing ·Partha Pratim Kundu, Tram Truong-Huu, Ling Chen, Luying Zhou, Sin G. Teo	2022	34
6	Advanced Windows Methods on Malware Detection and Classification Annual Computer Security Applications Conference ·Dima Rabadi, Sin G. Teo	2020	29
7	An Empirical Study on Unsupervised Network Anomaly Detection using Generative Adversarial Networks Tram Truong-Huu, Nidhya Dheenadhayalan, Partha Pratim Kundu, Vasudha Ramnath, Liao Jingyi, Sin G. Teo, Sai Praveen Kadiyala	2020	28
8	Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective IEEE Transactions on Dependable and Secure Computing ·Mark Huasong Meng, Guangdong Bai, Sin G. Teo, Zhé Hóu, Yan Xiao, Yun Hui Lin, Jin Song Dong	2022	21
9	DAG: A General Model for Privacy-Preserving Data Mining IEEE Transactions on Knowledge and Data Engineering ·Sin G. Teo, Jianneng Cao, Vincent C. S. Lee	2018	17
10	ENAD: An Ensemble Framework for Unsupervised Network Anomaly Detection Liao Jingyi, Sin G. Teo, Partha Pratim Kundu, Tram Truong-Huu	2021	12
11	Privacy Preserving Support Vector Machine Using Non-linear Kernels on Hadoop Mahout Sin G. Teo, Shuguo Han, Vincent C. S. Lee	2013	9
12	ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks Akshaya Balamurugan, Sin G. Teo, Jianxi Yang, Zhongbo Peng, Xulei Yang, Zeng Zeng	2019	8
13	A Study of Efficiency and Accuracy of Secure Multiparty Protocol in Privacy-Preserving Data Mining Sin G. Teo, Vincent C. S. Lee, Shuguo Han	2012	7
14	Handling Labeled Data Insufficiency: Semi-supervised Learning with Self-Training Mixup Decision Tree for Classification of Network Attacking Traffic IEEE Transactions on Dependable and Secure Computing ·Yubo Hou, Sin G. Teo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Tram Truong-Huu	2022	6
15	PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories ISPRS International Journal of Geo-Information ·Jianxi Yang, Manoranjan Dash, Sin G. Teo	2021	6
16	Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model Yuchen Lan, Tram Truong-Huu, Jiyan Wu, Sin G. Teo	2022	5
17	A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence Autonomous Agents and Multi-Agent Systems ·Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang	2021	3
18	Supervised Robustness-preserving Data-free Neural Network Pruning Griffith Research Online (Griffith University, Queensland, Australia) ·Mark Huasong Meng, Guangdong Bai, Sin G. Teo, Jin Song Dong	2023	1
19	DAG: A General Model for Privacy-Preserving Data Mining : (Extended Abstract) Sin G. Teo, Jianneng Cao, Vincent C. S. Lee	2020	1
20	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	1

About Sin G. Teo

Sin G. Teo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Building and Construction, having authored 27 papers that have together received 638 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers), Privacy-Preserving Technologies in Data (6 papers), Cryptography and Data Security (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Anomaly Detection Techniques and Applications (5 papers), Traffic Prediction and Management Techniques (4 papers) and Digital and Cyber Forensics (3 papers). The work is most often cited by research in Transportation (165 citations), Building and Construction (224 citations), Signal Processing (121 citations), Artificial Intelligence (245 citations) and Computer Networks and Communications (141 citations). Sin G. Teo has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Zeng Zeng, Xiaofeng Zou, Cen Chen, Kenli Li, Keqin Li, Kang Wang, Jie Wang, Tram Truong-Huu, Vincent C. S. Lee and Ling Chen. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Journal of Information Security and Applications, ACM Transactions on Knowledge Discovery from Data, Software Practice and Experience and Autonomous Agents and Multi-Agent Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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