Jun Zhu

Boosting Adversarial Attacks with Momentum

Yinpeng Dong;Fangzhou Liao;Tianyu Pang;Hang Su.
computer vision and pattern recognition (2018)

Size dependence of Young's modulus in ZnO nanowires.

C. Q. Chen;Y. Shi;Y. S. Zhang;J. Zhu.
Physical Review Letters (2006)

MedLDA: maximum margin supervised topic models

Jun Zhu;Amr Ahmed;Eric P. Xing.
Journal of Machine Learning Research (2012)

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser

Fangzhou Liao;Ming Liang;Yinpeng Dong;Tianyu Pang.
computer vision and pattern recognition (2018)

Towards Better Analysis of Deep Convolutional Neural Networks

Mengchen Liu;Jiaxin Shi;Zhen Li;Chongxuan Li.
IEEE Transactions on Visualization and Computer Graphics (2017)

StatSnowball: a statistical approach to extracting entity relationships

Jun Zhu;Zaiqing Nie;Xiaojiang Liu;Bo Zhang.
the web conference (2009)

Triple Generative Adversarial Nets

Chongxuan Li;Taufik Xu;Jun Zhu;Bo Zhang.
neural information processing systems (2017)

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks.

Yujie Wu;Lei Deng;Lei Deng;Guoqi Li;Jun Zhu.
Frontiers in Neuroscience (2018)

Adversarial Attack on Graph Structured Data

Hanjun Dai;Hui Li;Tian Tian;Xin Huang.
international conference on machine learning (2018)

Triple Generative Adversarial Nets

Chongxuan Li;Kun Xu;Jun Zhu;Bo Zhang.
arXiv: Learning (2017)