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Improving Neural Network Verification through Spurious Region Guided Refinement

Oct 15, 2020
Pengfei Yang, Renjue Li, Jianlin Li, Cheng-Chao Huang, Jingyi Wang, Jun Sun, Bai Xue, Lijun Zhang


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Holistic Combination of Structural and Textual Code Information for Context based API Recommendation

Oct 15, 2020
Chi Chen, Xin Peng, Zhenchang Xing, Jun Sun, Xin Wang, Yifan Zhao, Wenyun Zhao


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SOCRATES: Towards a Unified Platform for Neural Network Verification

Jul 22, 2020
Long H. Pham, Jiaying Li, Jun Sun


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Active Fuzzing for Testing and Securing Cyber-Physical Systems

May 28, 2020
Yuqi Chen, Bohan Xuan, Christopher M. Poskitt, Jun Sun, Fan Zhang

* Accepted by the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2020) 

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Learning efficient structured dictionary for image classification

Feb 09, 2020
Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin

* Submitted to Journal of Electronic Imaging 

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Multiplication fusion of sparse and collaborative-competitive representation for image classification

Jan 20, 2020
Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin

* submitted to International Journal of Machine Learning and Cybernetics 

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There is Limited Correlation between Coverage and Robustness for Deep Neural Networks

Nov 14, 2019
Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting


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Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation

Nov 03, 2019
Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang

* 25 pages, 3 figures 

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Understanding Social Networks using Transfer Learning

Oct 16, 2019
Jun Sun, Steffen Staab, J茅r么me Kunegis

* IEEE Computer (Volume: 51, Issue: 6, June 2018) 
* 11 pages, 4 figures, IEEE Computer. arXiv admin note: text overlap with arXiv:1611.02941 

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A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

Sep 28, 2019
Ming Cheng, Zhan Ma, M. Salman Asif, Yiling Xu, Haojie Liu, Wenbo Bao, Jun Sun


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Analyzing Recurrent Neural Network by Probabilistic Abstraction

Sep 22, 2019
Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong


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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

* Accepted in NeurIPS 2019 

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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

* Submitted to Transactions on Image Processing 

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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

* Accepted by ICSE 2019 

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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

* In Proc. IEEE Symposium on Security & Privacy (S&P 2018), pages 648-660. IEEE, 2018 
* Accepted by IEEE S&P 2018 

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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

* Sumitted to NIPS 2018 

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Toward `verifying' a Water Treatment System

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

* Accepted by FM 2018 

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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

* Under review for Transactions on Image Processing 

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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

* Proc. IEEE International Conference on Data Mining Workshops (ICDMW 2017): Data Mining for Cyberphysical and Industrial Systems (DMCIS 2017), pages 1058-1065. IEEE, 2017 

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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

* Rejected by ICDAR 2017 

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Building Fast and Compact Convolutional Neural Networks for Offline Handwritten Chinese Character Recognition

Feb 26, 2017
Xuefeng Xiao, Lianwen Jin, Yafeng Yang, Weixin Yang, Jun Sun, Tianhai Chang

* 15 pages, 7 figures, 5 tables 

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An Automated CNN Recommendation System for Image Classification Tasks

Dec 27, 2016
Song Wang, Li Sun, Wei Fan, Jun Sun, Satoshi Naoi, Koichi Shirahata, Takuya Fukagai, Yasumoto Tomita, Atsushi Ike

* Submitted to ICME 2017 and all the methods in this paper are patented 

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Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation

Nov 09, 2016
Jun Sun, J茅r么me Kunegis, Steffen Staab

* 8 pages, 5 figures, IEEE ICDMW 2016 

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Towards Learning and Verifying Invariants of Cyber-Physical Systems by Code Mutation

Sep 06, 2016
Yuqi Chen, Christopher M. Poskitt, Jun Sun

* In Proc. International Symposium on Formal Methods (FM 2016), volume 9995 of LNCS, pages 155-163. Springer, 2016 
* Short paper accepted by the 21st International Symposium on Formal Methods (FM 2016) 

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A Novel Scene Text Detection Algorithm Based On Convolutional Neural Network

Apr 07, 2016
Xiaohang Ren, Kai Chen, Jun Sun

* 5 pages, IWPR 2016 

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A CNN Based Scene Chinese Text Recognition Algorithm With Synthetic Data Engine

Apr 07, 2016
Xiaohang Ren, Kai Chen, Jun Sun

* 2 pages, DAS 2016 short paper 

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On Study of the Binarized Deep Neural Network for Image Classification

Feb 24, 2016
Song Wang, Dongchun Ren, Li Chen, Wei Fan, Jun Sun, Satoshi Naoi

* 9 pages, 6 figures. Rejected conference (CVPR 2015) submission. Submission date: November, 2014. This work is patented in China (NO. 201410647710.3) 

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A Feature-based Classification Technique for Answering Multi-choice World History Questions

May 05, 2015
Shuangyong Song, Yao Meng, Zhongguang Zheng, Jun Sun

* 5 pages, no figure 

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Random Drift Particle Swarm Optimization

Jun 12, 2013
Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi

* The paper is the work in progress on particle swarm optimization. It has 41 pages and 7 figures 

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