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03/10/2021
Quantization-Guided Training for Compact TinyML Models
We propose a Quantization Guided Training (QGT) method to guide DNN trai...
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10/07/2019
Bit Efficient Quantization for Deep Neural Networks
Quantization for deep neural networks have afforded models for edge devi...
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02/22/2019
Generative Memory for Lifelong Reinforcement Learning
Our research is focused on understanding and applying biological memory ...
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11/29/2018
Bootstrapping Deep Neural Networks from Image Processing and Computer Vision Pipelines
Complex image processing and computer vision systems often consist of a ...
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11/12/2018
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks
The use of deep neural networks in edge computing devices hinges on the ...
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06/18/2018
Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning
Attacks against the control processor of a power-grid system, especially...
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08/16/2017