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Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection


Mar 18, 2021
Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun

* This manuscript is waiting for further improvement 

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Attack as Defense: Characterizing Adversarial Examples using Robustness


Mar 13, 2021
Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, Jun Sun


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Point Cloud Distortion Quantification based on Potential Energy for Human and Machine Perception


Mar 04, 2021
Qi Yang, Siheng Chen, Yiling Xu, Jun Sun, M. Salman Asif, Zhan Ma


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CSTR: A Classification Perspective on Scene Text Recognition


Feb 22, 2021
Hongxiang Cai, Jun Sun, Yichao Xiong

* 10 pages, 4 figures 

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Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection


Dec 20, 2020
Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun

* This work is being revised. The updated version will be upload few months later 

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Towards Repairing Neural Networks Correctly


Dec 03, 2020
Guoliang Dong, Jun Sun, Jingyi Wang, Xinyu Wang, Ting Dai


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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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