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On the Properties of Kullback-Leibler Divergence Between Gaussians


Feb 24, 2021
Yufeng Zhang, Wanwei Liu, Zhenbang Chen, Kenli Li, Ji Wang

* arXiv admin note: text overlap with arXiv:2002.03328 

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Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference


Oct 24, 2020
Haoyu Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie, Fei Huang, Ji Wang

* 11 pages 

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AP-Loss for Accurate One-Stage Object Detection


Aug 17, 2020
Kean Chen, Weiyao Lin, Jianguo Li, John See, Ji Wang, Junni Zou

* Accepted to IEEE TPAMI. arXiv admin note: substantial text overlap with arXiv:1904.06373 

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Input Validation for Neural Networks via Runtime Local Robustness Verification


Feb 09, 2020
Jiangchao Liu, Liqian Chen, Antoine Mine, Ji Wang


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Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models


Feb 09, 2020
Yufeng Zhang, Wanwei Liu, Zhenbang Chen, Ji Wang, Zhiming Liu, Kenli Li, Hongmei Wei, Zuoning Chen


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SEdroid: A Robust Android Malware Detector using Selective Ensemble Learning


Sep 06, 2019
Ji Wang, Qi Jing, Jianbo Gao


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Private Deep Learning with Teacher Ensembles


Jun 05, 2019
Lichao Sun, Yingbo Zhou, Ji Wang, Jia Li, Richard Sochar, Philip S. Yu, Caiming Xiong


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Towards Accurate One-Stage Object Detection with AP-Loss


Apr 12, 2019
Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, Junni Zou

* 13 pages, 7 figures, 4 tables, main paper + supplementary material, accepted to CVPR 2019 

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Pretraining-Based Natural Language Generation for Text Summarization


Apr 12, 2019
Haoyu Zhang, Jianjun Xu, Ji Wang

* 7 pages 

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Adversarial Attack and Defense on Graph Data: A Survey


Dec 26, 2018
Lichao Sun, Ji Wang, Philip S. Yu, Bo Li


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Boosting the Robustness Verification of DNN by Identifying the Achilles's Heel


Nov 17, 2018
Chengdong Feng, Zhenbang Chen, Weijiang Hong, Hengbiao Yu, Wei Dong, Ji Wang

* 12 

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Private Model Compression via Knowledge Distillation


Nov 13, 2018
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu

* Conference version accepted by AAAI'19 

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Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction


Sep 28, 2018
Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu

* The 2018 IEEE International Conference on Data Mining (ICDM'18) 

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Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud


Sep 19, 2018
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu

* Conference version accepted by KDD'18 

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Deep Learning Towards Mobile Applications


Sep 10, 2018
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu

* Conference version accepted by ICDCS'18 

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