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Jun Sun

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Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients

Sep 17, 2019
Jun Sun, Tianyi Chen, Georgios B. Giannakis, Zaiyue Yang

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Learning from Adversarial Features for Few-Shot Classification

Mar 25, 2019
Wei Shen, Ziqiang Shi, Jun Sun

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Safeguarded Dynamic Label Regression for Generalized Noisy Supervision

Mar 06, 2019
Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jun Sun

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Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing

Jan 18, 2019
Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang

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Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System

Jun 13, 2018
Yuqi Chen, Christopher M. Poskitt, Jun Sun

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Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing

May 17, 2018
Jingyi Wang, Jun Sun, Peixin Zhang, Xinyu Wang

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Toward `verifying' a Water Treatment System

May 10, 2018
Jingyi Wang, Jun Sun, Yifan Jia, Shengchao Qin, Zhiwu Xu

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Deep Learning from Noisy Image Labels with Quality Embedding

Nov 02, 2017
Jiangchao Yao, Jiajie Wang, Ivor Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang

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Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning

Sep 25, 2017
Jun Inoue, Yoriyuki Yamagata, Yuqi Chen, Christopher M. Poskitt, Jun Sun

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On Study of the Reliable Fully Convolutional Networks with Tree Arranged Outputs (TAO-FCN) for Handwritten String Recognition

Jul 10, 2017
Song Wang, Jun Sun, Satoshi Naoi

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