17 citations · 22 across the 3 of their papers we have counts for
3 papers
ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Miles Everett, Mingjun Zhong, Georgios Leontidis
Capsule Networks have emerged as a powerful class of deep learning architectures, known for robust performance with relatively few parameters compared to Convolutional Neural Netwo…
Non-intrusive Load Monitoring based on Self-supervised Learning
Shuyi Chen, Bochao Zhao, Mingjun Zhong +2
Deep learning models for non-intrusive load monitoring (NILM) tend to require a large amount of labeled data for training. However, it is difficult to generalize the trained models…
Transfer Learning for Non-Intrusive Load Monitoring
Michele DIncecco, Stefano Squartini, Mingjun Zhong
Non-intrusive load monitoring (NILM) is a technique to recover source appliances from only the recorded mains in a household. NILM is unidentifiable and thus a challenge problem be…