Two Papers are Accepted by the 28th ACM SigKDD Conference on Knowledge Discovery and Data Mining (KKD 2019)


– 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.


Asia and South Pacific Design Automation Conference (ASP-DAC 2019)


– 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”


Zhuwei presented the works at ASP-DAC.

The 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)


– 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”


Fuxun presented the paper at NeurIPS 2018.

Three Papers are Accepted by the 24th Asia and South Pacific Design Automation Conference (ASP-DAC 2019)


– 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”


International Conference on Computer Aided Design (ICCAD 2017)


– 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.”


Dr. Chen presenting the paper.

A academic family reunion with Dr. Chen’s mentor Dr. Helen Li, and Dr. Li’s mentor Dr. Kaushik Roy.