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papers

Publications (128)

cs.CV2018

Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser

Fangzhou Liao, Ming Liang, Yinpeng Dong +3

cs.LG2016

Conditional Generative Moment-Matching Networks

Yong Ren, Jialian Li, Yucen Luo +1

physics.med-ph2016

A Model-Based Scatter Artifacts Correction for Cone Beam CT

Wei Zhao, Don Vernekohl, Jun Zhu +2

math.QA2013

Linear mappings of local preserving-majorization on matrix algebras

Jun Zhu, Changping Xiong

cond-mat.mtrl-sci2010

Photoluminescence from nanocrystalline graphite monofluoride

Bei Wang, Justin R. Sparks, Humberto R. Gutierrez +6

stat.ML2019

Scalable Training of Inference Networks for Gaussian-Process Models

Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu

cs.LG2018

Adversarial Attack on Graph Structured Data

Hanjun Dai, Hui Li, Tian Tian +4

cs.LG2019

Reward Shaping via Meta-Learning

Haosheng Zou, Tongzheng Ren, Dong Yan +2

cs.CV2018

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

Danyang Sun, Tongzheng Ren, Chongxun Li +2

stat.AP2016

Statistically-estimated tree composition for the northeastern United States at the time of Euro-American settlement

Christopher J. Paciorek, Simon J. Goring, Andrew L. Thurman +6

stat.ML2013

Gibbs Max-margin Topic Models with Data Augmentation

Jun Zhu, Ning Chen, Hugh Perkins +1

stat.ME2012

Penalized maximum likelihood estimation and variable selection in geostatistics

Tingjin Chu, Jun Zhu, Haonan Wang

cs.LG2019

Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference

Zhize Li, Tianyi Zhang, Shuyu Cheng +2

cs.LG2014

Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields

Ni Lao, Jun Zhu

cs.LG2014

Dropout Training for Support Vector Machines

Ning Chen, Jun Zhu, Jianfei Chen +1

cs.NE2018

Direct Training for Spiking Neural Networks: Faster, Larger, Better

Yujie Wu, Lei Deng, Guoqi Li +2

cs.LG2018

Collaborative Filtering with User-Item Co-Autoregressive Models

Chao Du, Chongxuan Li, Yin Zheng +2

stat.ME2014

Local Adaptive Grouped Regularization and its Oracle Properties for Varying Coefficient Regression

Wesley Brooks, Jun Zhu, Zudi Lu

math.OA2011

Jordan Higher All-Derivable Points in Nest Algebras

Nannan Zhen, Jun Zhu

cond-mat.mes-hall2018

Effective Landau Level Diagram of Bilayer Graphene

Jing Li, Yevhen Tupikov, Kenji Watanabe +2

cs.LG2016

Max-Margin Nonparametric Latent Feature Models for Link Prediction

Jun Zhu, Jiaming Song, Bei Chen

cs.IT2017

Robust and Secure Resource Allocation for Full-Duplex MISO Multicarrier NOMA Systems

Yan Sun, Derrick Wing Kwan Ng, Jun Zhu +1

cs.CV2018

Adversarial Attacks and Defences Competition

Alexey Kurakin, Ian Goodfellow, Samy Bengio +20

cs.CL2015

Jointly Modeling Topics and Intents with Global Order Structure

Bei Chen, Jun Zhu, Nan Yang +3

cs.CV2017

Improving Interpretability of Deep Neural Networks with Semantic Information

Yinpeng Dong, Hang Su, Jun Zhu +1

stat.ML2016

Kernel Bayesian Inference with Posterior Regularization

Yang Song, Jun Zhu, Yong Ren

cs.IT2014

Secure Transmission in Multi-Cell Massive MIMO Systems

Jun Zhu, Robert Schober, Vijay K. Bhargava

cs.LG2014

Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs

Jun Zhu, Ning Chen, Eric P. Xing

cs.LG2012

Max-Margin Nonparametric Latent Feature Models for Link Prediction

Jun Zhu

stat.ML2019

Understanding and Accelerating Particle-Based Variational Inference

Chang Liu, Jingwei Zhuo, Pengyu Cheng +3

physics.med-ph2016

Using Edge-Preserving Algorithm with Non-local Mean for Significantly Improved Image-Domain Material Decomposition in Dual Energy CT

Wei Zhao, Tianye Niu, Lei Xing +6

cs.LG2015

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

Bei Chen, Ning Chen, Jun Zhu +2

cs.IT2016

Low-Complexity QoS-Aware Coordinated Scheduling for Heterogenous Networks

Jun Zhu, Hong-Chuan Yang

cs.LG2018

Deep Structured Generative Models

Kun Xu, Haoyu Liang, Jun Zhu +2

cs.LG2018

Analyzing the Noise Robustness of Deep Neural Networks

Mengchen Liu, Shixia Liu, Hang Su +2

stat.ML2017

Riemannian Stein Variational Gradient Descent for Bayesian Inference

Chang Liu, Jun Zhu

stat.ML2016

Scaling up Dynamic Topic Models

Arnab Bhadury, Jianfei Chen, Jun Zhu +1

cs.CV2019

Efficient Decision-based Black-box Adversarial Attacks on Face Recognition

Yinpeng Dong, Hang Su, Baoyuan Wu +4

cond-mat.supr-con2019

An Air-Stable and Atomically Thin Graphene/Gallium Superconducting Heterostructure

Brian Bersch, Natalie Briggs, Yuanxi Wang +13

stat.ML2018

A Spectral Approach to Gradient Estimation for Implicit Distributions

Jiaxin Shi, Shengyang Sun, Jun Zhu

quant-ph2012

Unifying Treatment of Discord via Relative Entropy

Lin Zhang, Shao-Ming Fei, Jun Zhu

cs.LG2017

Diversity-Promoting Bayesian Learning of Latent Variable Models

Pengtao Xie, Jun Zhu, Eric P. Xing

cs.CV2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization

Yinpeng Dong, Renkun Ni, Jianguo Li +3

cs.LG2018

Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information

Yichi Zhou, Tongzheng Ren, Jialian Li +2

cs.LG2018

Composite Binary Decomposition Networks

You Qiaoben, Zheng Wang, Jianguo Li +3

stat.ML2018

Semi-crowdsourced Clustering with Deep Generative Models

Yucen Luo, Tian Tian, Jiaxin Shi +2

stat.ML2017

Learning Random Fourier Features by Hybrid Constrained Optimization

Jianqiao Wangni, Jingwei Zhuo, Jun Zhu

cs.LG2016

Streaming Gibbs Sampling for LDA Model

Yang Gao, Jianfei Chen, Jun Zhu

cs.LG2019

Multi-objects Generation with Amortized Structural Regularization

Kun Xu, Chongxuan Li, Jun Zhu +1

cs.LG2019

Batch Virtual Adversarial Training for Graph Convolutional Networks

Zhijie Deng, Yinpeng Dong, Jun Zhu

cs.LG2015

Max-margin Deep Generative Models

Chongxuan Li, Jun Zhu, Tianlin Shi +1

cs.CV2015

Pose-Guided Human Parsing with Deep Learned Features

Fangting Xia, Jun Zhu, Peng Wang +1

cs.LG2018

Max-Mahalanobis Linear Discriminant Analysis Networks

Tianyu Pang, Chao Du, Jun Zhu

cs.LG2018

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

Yucen Luo, Jun Zhu, Mengxi Li +2

stat.ML2019

Function Space Particle Optimization for Bayesian Neural Networks

Ziyu Wang, Tongzheng Ren, Jun Zhu +1

physics.acc-ph2018

Simulations and plans for possible DLA experiments at SINBAD

Frank Mayet, Ralph Assmann, Joern Boedewadt +6

cond-mat.supr-con2016

Nematic Quantum Critical Fluctuations in BaFe$_{2-x}$Ni$_x$As$_2$

Zhaoyu Liu, Yanhong Gu, Wei Zhang +15

cs.LG2019

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

Yinpeng Dong, Fan Bao, Hang Su +1

cond-mat.mes-hall2019

Metallic Phase and Temperature Dependence of the $ν= 0$ Quantum Hall State in Bilayer Graphene

Jing Li, Hailong Fu, Zhenxi Yin +3

cs.CL2015

Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base

Jiaxin Shi, Jun Zhu

cs.LG2018

Graphical Generative Adversarial Networks

Chongxuan Li, Max Welling, Jun Zhu +1

cs.LG2015

Bounded-Distortion Metric Learning

Renjie Liao, Jianping Shi, Ziyang Ma +2

cs.CV2016

DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization

Jun Zhu, Xianjie Chen, Alan L. Yuille

cs.IT2016

Analysis and Design of Secure Massive MIMO Systems in the Presence of Hardware Impairments

Jun Zhu, Derrick Wing Kwan Ng, Ning Wang +2

cs.IT2016

Physical Layer Security for Massive MIMO Systems Impaired by Phase Noise

Jun Zhu, Robert Schober, Vijay K. Bhargava

cs.CV2016

Towards Better Analysis of Deep Convolutional Neural Networks

Mengchen Liu, Jiaxin Shi, Zhen Li +3

cs.LG2012

Sparse Topical Coding

Jun Zhu, Eric P. Xing

cs.LG2019

Improving Adversarial Robustness via Promoting Ensemble Diversity

Tianyu Pang, Kun Xu, Chao Du +2

cs.LG2013

Discriminative Relational Topic Models

Ning Chen, Jun Zhu, Fei Xia +1

cs.LG2015

Fast Parallel SVM using Data Augmentation

Hugh Perkins, Minjie Xu, Jun Zhu +1

cs.IT2013

An optimal problem for relative entropy

Fan Wang, Jun Zhu, Lin Zhang

stat.ML2018

Stochastic Training of Graph Convolutional Networks with Variance Reduction

Jianfei Chen, Jun Zhu, Le Song

cs.LG2016

A Communication-Efficient Parallel Method for Group-Lasso

Binghong Chen, Jun Zhu

stat.ML2017

ZhuSuan: A Library for Bayesian Deep Learning

Jiaxin Shi, Jianfei Chen, Jun Zhu +4

cs.LG2017

Structured Generative Adversarial Networks

Zhijie Deng, Hao Zhang, Xiaodan Liang +4

quant-ph2006

Deterministic Quantum Key Distribution Using Gaussian-Modulated Squeezed States

Guangqiang He, Jun Zhu, Guihua Zeng

cs.IT2015

Per-Antenna Constant Envelope Precoding for Secure Transmission in Large-Scale MISO Systems

Jun Zhu, Ning Wang, Vijay K. Bhargava

stat.ML2009

Maximum Entropy Discrimination Markov Networks

Jun Zhu, Eric P. Xing

stat.ML2018

Kernel Implicit Variational Inference

Jiaxin Shi, Shengyang Sun, Jun Zhu

cs.CV2018

Sparse Adversarial Perturbations for Videos

Xingxing Wei, Jun Zhu, Hang Su

cond-mat.mtrl-sci2009

The Deposition of High-Quality HfO2 on Graphene and the Effect of Remote Oxide Phonon Scattering

Ke Zou, Xia Hong, Derek Keefer +1

math.OA2014

Characterizations of all-derivable points in $B(H)$

Jun Zhu, Changping Xiong, Pan Li

cond-mat.mes-hall2018

Gate-controlled transmission of quantum Hall edge states in bilayer graphene

Jing Li, Hua Wen, Kenji Watanabe +2

stat.ML2019

Understanding MCMC Dynamics as Flows on the Wasserstein Space

Chang Liu, Jingwei Zhuo, Jun Zhu

q-bio.NC2016

SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data

Jingkang Yang, Haohan Wang, Jun Zhu +1

cs.CL2015

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

Shaohua Li, Jun Zhu, Chunyan Miao

cs.NE2017

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

Yujie Wu, Lei Deng, Guoqi Li +2

cs.LG2018

Boosting Adversarial Attacks with Momentum

Yinpeng Dong, Fangzhou Liao, Tianyu Pang +4

math.ST2006

Resampling methods for spatial regression models under a class of stochastic designs

S. N. Lahiri, Jun Zhu

cs.CV2018

Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process

Haosheng Zou, Hang Su, Shihong Song +1

cond-mat.mes-hall2018

A valley valve and electron beam splitter

Jing Li, Rui-Xing Zhang, Zhenxi Yin +5

math.OA2011

Jordan higher all-derivable points in triangular algebras

Jun Zhu, Jinping Zhao

cs.LG2016

Spectral Learning for Supervised Topic Models

Yong Ren, Yining Wang, Jun Zhu

stat.ML2018

Message Passing Stein Variational Gradient Descent

Jingwei Zhuo, Chang Liu, Jiaxin Shi +3

stat.ML2016

WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation

Jianfei Chen, Kaiwei Li, Jun Zhu +1

cs.IT2015

Multi-Objective Optimization for Robust Power Efficient and Secure Full-Duplex Wireless Communication Systems

Yan Sun, Derrick Wing Kwan Ng, Jun Zhu +1

cs.LG2017

Triple Generative Adversarial Nets

Chongxuan Li, Kun Xu, Jun Zhu +1

cs.LG2017

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Shixia Liu, Xiting Wang, Mengchen Liu +1

cs.CL2016

Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)

Shaohua Li, Tat-Seng Chua, Jun Zhu +1

stat.ML2009

MedLDA: A General Framework of Maximum Margin Supervised Topic Models

Jun Zhu, Amr Ahmed, Eric P. Xing