Intelligence Fusion Laboratory
Electrical and Computer Engineering | George Mason University & Clarkson University
News about the lab’s paper publication.
– One Papers is accepted by the 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019.
“Interpreting and Evaluating Neural Network Robustness”
– Two Papers are accepted by the 28th ACM SigKDD Conference on Knowledge Discovery and Data Mining
(KDD) 2019.
“Deep Learning Alternating Direction Method of Multipliers” is accepted as a regular paper,
“DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks” is accepted as a workshop paper for the Workshop on Artificial Intelligence of Things hosted by the Microsoft Research.
– Two Papers are accepted by the 56th Design Automation Conference
(DAC) 2019.
“ReForm: Static and Dynamic Resource- Aware DNN Reconfiguration Framework for Mobile Devices”
“MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping”
– Zhuwei Qin attended the 24th Asia and South Pacific Design Automation Conference
(ASP-DAC) 2019 at Seoul, South Korea.
– Zhuwei presented three papers:
“HAMPER: High-Performance Adaptive Mobile Security Enhancement against Malicious Speech and Image Recognition”
“REIN: A Robust Training Method for Enhancing Generalization Ability of Neural Networks in Autonomous Driving Systems”
“CAPTOR: A Class Adaptive Filter Pruning Framework for Convolutional Neural Networks in Mobile Applications”
– Fuxun Yu attended the 32nd Conference on Neural Information Processing Systems, Workshop on Compact Deep Neural Networks with Industrial Applications (NeurIPS CDNNIA) 2018 at Montreal, Canada.
– Fuxun Yu presented two papers:
“Demystifying Neural Network Filter Pruning”
“Distilling Critical Paths in Convolutional Neural Networks”
– Two Papers are accepted by the 32nd Conference on Neural Information Processing Systems, Workshop on Compact Deep Neural Networks with Industrial Applications (NeurIPS CDNNIA) 2018.
“Demystifying Neural Network Filter Pruning”
“Distilling Critical Paths in Convolutional Neural Networks”
– Three Papers are accepted by the 24th Asia and South Pacific Design Automation Conference
(ASP-DAC) 2019.
“HAMPER: High-Performance Adaptive Mobile Security Enhancement against Malicious Speech and Image Recognition”
“REIN: A Robust Training Method for Enhancing Generalization Ability of Neural Networks in Autonomous Driving Systems”
“CAPTOR: A Class Adaptive Filter Pruning Framework for Convolutional Neural Networks in Mobile Applications”
– One Paper is accepted by the 23rd ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED) 2018.
“DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems.”
– Two Papers are accepted by the 55th Design Automation Conference WIP 2018 (DAC) 2019.
“ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction”
“DiReCt: Performance-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems”
– Dr. Chen attended the 36th International Conference On Computer Aided Design (ICCAD) 2017 at Irvine CA.
– Dr. Chen also presented the paper of “VoCaM: Visualization Oriented Convolutional Neural Network Acceleration on Mobile System.”
