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Ruobin Qi

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2024
[j4]
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  - journals/tim/LiLQZ24
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Qingqing Li, Zhirui Luo, Ruobin Qi, Jun Zheng:
Automatic Searching of Lightweight and High-Performing CNN Architectures for EEG-Based Driving Fatigue Detection. IEEE Trans. Instrum. Meas. 73: 1-11 (2024)
2023
[j3]
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Qingqing Li, Zhirui Luo, Ruobin Qi, Jun Zheng:
DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition. IEEE Access 11: 96797-96807 (2023)
2022
[j2]
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Ruobin Qi, Jun Zheng, Zhirui Luo, Qingqing Li:
A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters. IEEE Trans. Instrum. Meas. 71: 1-10 (2022)
[c1]
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  - conf/smartcom/LuoQLZS22
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Zhirui Luo, Ruobin Qi, Qingqing Li, Jun Zheng, Sihua Shao:
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data. SmartCom 2022: 152-164
[i1]
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  - journals/corr/abs-2212-11396
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Zhirui Luo, Ruobin Qi, Qingqing Li, Jun Zheng, Sihua Shao:
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data. CoRR abs/2212.11396 (2022)
2021
[j1]
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  - journals/information/QiR0L21
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Ruobin Qi, Craig Rasband, Jun Zheng, Raul Longoria:
Detecting Cyber Attacks in Smart Grids Using Semi-Supervised Anomaly Detection and Deep Representation Learning. Inf. 12(8): 328 (2021)

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