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Author

Ruobin Qi

ORCID: 0000-0001-9072-9484
Observed ORCID: 0000-0001-9072-9484
OpenAlex ID: A5043169172
A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters
2022 · Ruobin Qi, Jun Zheng, et al. · IEEE Transactions on Instrumentation and Measurement · 96
Detecting Cyber Attacks in Smart Grids Using Semi-Supervised Anomaly Detection and Deep Representation Learning
2021 · Ruobin Qi, Craig Rasband, et al. · Information · 73
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Deep semi-supervised electricity theft detection in AMI for sustainable and secure smart grids
2023 · Ruobin Qi, Qingqing Li, et al. · Sustainable Energy Grids and Networks · 18
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DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition
2023 · Qingqing Li, Zhirui Luo, et al. · IEEE Access · 13
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Automatic Searching of Lightweight and High-Performing CNN Architectures for EEG-Based Driving Fatigue Detection
2024 · Qingqing Li, Zhirui Luo, et al. · IEEE Transactions on Instrumentation and Measurement · 12
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data
2023 · Zhirui Luo, Ruobin Qi, et al. · Lecture notes in computer science · 11
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Feature Engineering for Semi-supervised Electricity Theft Detection in AMI
2023 · Elijah Orozco, Ruobin Qi, et al. · IEEE Green Technologies Conference (GreenTech) · 6
A Data-Driven Unsupervised Ensemble Method for Electricity Theft Detection in AMI Systems
2025 · Ruobin Qi, Qingqing Li, et al. · IEEE Access · 4
Enhancing the Performance of Semi-supervised Electricity Theft Detection in Smart Grids with Feature Engineering and Ensemble Learning
2024 · Ruobin Qi, Wynter Japp, et al. · IEEE Kansas Power and Energy Conference (KPEC) · 4
A Model-Agnostic Approach to Reveal Detection Basis and Occurrence Time of Electricity Theft
2025 · Wenlong Liao, Shuyang Zhu, et al. · IEEE Transactions on Instrumentation and Measurement · 3
MOGSM-Net: Multi-objective genetically searched multi-label deep networks for non-intrusive load monitoring
2026 · Zhirui Luo, Qingqing Li, et al. · Neural Computing and Applications · 1
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Bagging or Boostingƒ Anomalous Transaction Identification in Financial Systems
2025 · Srushti Patel, Ruobin Qi, et al. · IEEE World AI IoT Congress (AIIoT) · 1
Detecting Cyber-Attacks and Power System Disturbances in Smart Grids with Deep Forest
2023 · Craig Rasband, Ruobin Qi, et al. · Lecture notes in networks and systems · 1
Adversarial Robustness of CNN-Based Architectures for Deepfake Image Detection
2026 · Dhruv Vagadiya, Vijay Srinivas Tida, et al. · IEEE World AI IoT Congress (AIIoT)
A Semi-Supervised Anomaly Detection Framework for Electricity Theft Using Optimized Feature Selection
2026 · Kyungwon Shin, Ruobin Qi · IEEE World AI IoT Congress (AIIoT)
Normalizing Flow for Financial Anomaly Detection: the Impact of Loss Function
2026 · Amir Rashidi, Ruobin Qi, et al. · International Symposium on Digital Forensics and Security (ISDFS)
Designing Channel Attention Fully Convolutional Networks with Neural Architecture Search for Customer Socio-Demographic Information Identification Using Smart Meter Data
2025 · Zhirui Luo, Qingqing Li, et al. · AI
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Semi-Supervised Outlier Detection and Deep Feature Extraction for Detecting Cyber-Attacks in Smart Grids Using PMU Data
2020 · Ruobin Qi, Craig Rasband, et al. · Advances in intelligent systems and computing
Works count: 19
Citation count: 243
H-index: 6
I10-index: 6
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