Ruobin Qi

According to our database, Ruobin Qi authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

MOGSM-Net: Multi-objective genetically searched multi-label deep networks for non-intrusive load monitoring.

Zhirui Luo, Qingqing Li, Ruobin Qi, Jun Zheng

Neural Comput. Appl., March, 2026

Normalizing Flow for Financial Anomaly Detection: the Impact of Loss Function.

Amir Rashidi, Ruobin Qi, Rashida Hasan

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

2025

A Model-Agnostic Approach to Reveal Detection Basis and Occurrence Time of Electricity Theft.

Wenlong Liao, Shuyang Zhu, Leijiao Ge, Takayuki Ishizaki, Ruobin Qi, Yue Yang, Zhe Yang

IEEE Trans. Instrum. Meas., 2025

A Data-Driven Unsupervised Ensemble Method for Electricity Theft Detection in AMI Systems.

Ruobin Qi, Qingqing Li, Zhirui Luo, Jun Zheng

IEEE Access, 2025

2024

Automatic Searching of Lightweight and High-Performing CNN Architectures for EEG-Based Driving Fatigue Detection.

Qingqing Li, Zhirui Luo, Ruobin Qi, Jun Zheng

IEEE Trans. Instrum. Meas., 2024

2023

DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition.

Qingqing Li, Zhirui Luo, Ruobin Qi, Jun Zheng

IEEE Access, 2023

2022

A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters.

Ruobin Qi, Jun Zheng, Zhirui Luo, Qingqing Li

IEEE Trans. Instrum. Meas., 2022

ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data.

Zhirui Luo, Ruobin Qi, Qingqing Li, Jun Zheng, Sihua Shao

Proceedings of the Smart Computing and Communication - 7th International Conference, 2022

2021

Detecting Cyber Attacks in Smart Grids Using Semi-Supervised Anomaly Detection and Deep Representation Learning.

Ruobin Qi, Craig Rasband, Jun Zheng, Raul Longoria

Inf., 2021