1 citations · 1 across the 4 of their papers we have counts for
4 papers
The Comparison of Individual Cat Recognition Using Neural Networks
Mingxuan Li, Kai Zhou
Facial recognition using deep learning has been widely used in social life for applications such as authentication, smart door locks, and photo grouping, etc. More and more network…
Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes
Mingxuan Li, Yuanxun Shao
Artificial neural network has achieved the state-of-art performance in fault detection on the Tennessee Eastman process, but it often requires enormous memory to fund its massive p…
Towards Sample Efficient Agents through Algorithmic Alignment
Mingxuan Li, Michael L. Littman
In this work, we propose and explore Deep Graph Value Network (DeepGV) as a promising method to work around sample complexity in deep reinforcement-learning agents using a message-…
Are L2 adversarial examples intrinsically different?
Mingxuan Li, Jingyuan Wang, Yufan Wu
Deep Neural Network (DDN) has achieved notable success in various tasks, including many security concerning scenarios. However, a considerable amount of work has proved its vulnera…