Publications (128)
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao, Ming Liang, Yinpeng Dong +3
Conditional Generative Moment-Matching Networks
Yong Ren, Jialian Li, Yucen Luo +1
A Model-Based Scatter Artifacts Correction for Cone Beam CT
Wei Zhao, Don Vernekohl, Jun Zhu +2
Linear mappings of local preserving-majorization on matrix algebras
Jun Zhu, Changping Xiong
Photoluminescence from nanocrystalline graphite monofluoride
Bei Wang, Justin R. Sparks, Humberto R. Gutierrez +6
Scalable Training of Inference Networks for Gaussian-Process Models
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, Tian Tian +4
Reward Shaping via Meta-Learning
Haosheng Zou, Tongzheng Ren, Dong Yan +2
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
Danyang Sun, Tongzheng Ren, Chongxun Li +2
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
Gibbs Max-margin Topic Models with Data Augmentation
Jun Zhu, Ning Chen, Hugh Perkins +1
Penalized maximum likelihood estimation and variable selection in geostatistics
Tingjin Chu, Jun Zhu, Haonan Wang
Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference
Zhize Li, Tianyi Zhang, Shuyu Cheng +2
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields
Ni Lao, Jun Zhu
Dropout Training for Support Vector Machines
Ning Chen, Jun Zhu, Jianfei Chen +1
Direct Training for Spiking Neural Networks: Faster, Larger, Better
Yujie Wu, Lei Deng, Guoqi Li +2
Collaborative Filtering with User-Item Co-Autoregressive Models
Chao Du, Chongxuan Li, Yin Zheng +2
Local Adaptive Grouped Regularization and its Oracle Properties for Varying Coefficient Regression
Wesley Brooks, Jun Zhu, Zudi Lu
Jordan Higher All-Derivable Points in Nest Algebras
Nannan Zhen, Jun Zhu
Effective Landau Level Diagram of Bilayer Graphene
Jing Li, Yevhen Tupikov, Kenji Watanabe +2
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Jun Zhu, Jiaming Song, Bei Chen
Robust and Secure Resource Allocation for Full-Duplex MISO Multicarrier NOMA Systems
Yan Sun, Derrick Wing Kwan Ng, Jun Zhu +1
Adversarial Attacks and Defences Competition
Alexey Kurakin, Ian Goodfellow, Samy Bengio +20
Jointly Modeling Topics and Intents with Global Order Structure
Bei Chen, Jun Zhu, Nan Yang +3
Improving Interpretability of Deep Neural Networks with Semantic Information
Yinpeng Dong, Hang Su, Jun Zhu +1
Kernel Bayesian Inference with Posterior Regularization
Yang Song, Jun Zhu, Yong Ren
Secure Transmission in Multi-Cell Massive MIMO Systems
Jun Zhu, Robert Schober, Vijay K. Bhargava
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Jun Zhu, Ning Chen, Eric P. Xing
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Jun Zhu
Understanding and Accelerating Particle-Based Variational Inference
Chang Liu, Jingwei Zhuo, Pengyu Cheng +3
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
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation
Bei Chen, Ning Chen, Jun Zhu +2
Low-Complexity QoS-Aware Coordinated Scheduling for Heterogenous Networks
Jun Zhu, Hong-Chuan Yang
Deep Structured Generative Models
Kun Xu, Haoyu Liang, Jun Zhu +2
Analyzing the Noise Robustness of Deep Neural Networks
Mengchen Liu, Shixia Liu, Hang Su +2
Riemannian Stein Variational Gradient Descent for Bayesian Inference
Chang Liu, Jun Zhu
Scaling up Dynamic Topic Models
Arnab Bhadury, Jianfei Chen, Jun Zhu +1
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition
Yinpeng Dong, Hang Su, Baoyuan Wu +4
An Air-Stable and Atomically Thin Graphene/Gallium Superconducting Heterostructure
Brian Bersch, Natalie Briggs, Yuanxi Wang +13
A Spectral Approach to Gradient Estimation for Implicit Distributions
Jiaxin Shi, Shengyang Sun, Jun Zhu
Unifying Treatment of Discord via Relative Entropy
Lin Zhang, Shao-Ming Fei, Jun Zhu
Diversity-Promoting Bayesian Learning of Latent Variable Models
Pengtao Xie, Jun Zhu, Eric P. Xing
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization
Yinpeng Dong, Renkun Ni, Jianguo Li +3
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information
Yichi Zhou, Tongzheng Ren, Jialian Li +2
Composite Binary Decomposition Networks
You Qiaoben, Zheng Wang, Jianguo Li +3
Semi-crowdsourced Clustering with Deep Generative Models
Yucen Luo, Tian Tian, Jiaxin Shi +2
Learning Random Fourier Features by Hybrid Constrained Optimization
Jianqiao Wangni, Jingwei Zhuo, Jun Zhu
Streaming Gibbs Sampling for LDA Model
Yang Gao, Jianfei Chen, Jun Zhu
Multi-objects Generation with Amortized Structural Regularization
Kun Xu, Chongxuan Li, Jun Zhu +1
Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng, Yinpeng Dong, Jun Zhu
Max-margin Deep Generative Models
Chongxuan Li, Jun Zhu, Tianlin Shi +1
Pose-Guided Human Parsing with Deep Learned Features
Fangting Xia, Jun Zhu, Peng Wang +1
Max-Mahalanobis Linear Discriminant Analysis Networks
Tianyu Pang, Chao Du, Jun Zhu
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo, Jun Zhu, Mengxi Li +2
Function Space Particle Optimization for Bayesian Neural Networks
Ziyu Wang, Tongzheng Ren, Jun Zhu +1
Simulations and plans for possible DLA experiments at SINBAD
Frank Mayet, Ralph Assmann, Joern Boedewadt +6
Nematic Quantum Critical Fluctuations in BaFe$_{2-x}$Ni$_x$As$_2$
Zhaoyu Liu, Yanhong Gu, Wei Zhang +15
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples
Yinpeng Dong, Fan Bao, Hang Su +1
Metallic Phase and Temperature Dependence of the $ν= 0$ Quantum Hall State in Bilayer Graphene
Jing Li, Hailong Fu, Zhenxi Yin +3
Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base
Jiaxin Shi, Jun Zhu
Graphical Generative Adversarial Networks
Chongxuan Li, Max Welling, Jun Zhu +1
Bounded-Distortion Metric Learning
Renjie Liao, Jianping Shi, Ziyang Ma +2
DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization
Jun Zhu, Xianjie Chen, Alan L. Yuille
Analysis and Design of Secure Massive MIMO Systems in the Presence of Hardware Impairments
Jun Zhu, Derrick Wing Kwan Ng, Ning Wang +2
Physical Layer Security for Massive MIMO Systems Impaired by Phase Noise
Jun Zhu, Robert Schober, Vijay K. Bhargava
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu, Jiaxin Shi, Zhen Li +3
Sparse Topical Coding
Jun Zhu, Eric P. Xing
Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang, Kun Xu, Chao Du +2
Discriminative Relational Topic Models
Ning Chen, Jun Zhu, Fei Xia +1
Fast Parallel SVM using Data Augmentation
Hugh Perkins, Minjie Xu, Jun Zhu +1
An optimal problem for relative entropy
Fan Wang, Jun Zhu, Lin Zhang
Stochastic Training of Graph Convolutional Networks with Variance Reduction
Jianfei Chen, Jun Zhu, Le Song
A Communication-Efficient Parallel Method for Group-Lasso
Binghong Chen, Jun Zhu
ZhuSuan: A Library for Bayesian Deep Learning
Jiaxin Shi, Jianfei Chen, Jun Zhu +4
Structured Generative Adversarial Networks
Zhijie Deng, Hao Zhang, Xiaodan Liang +4
Deterministic Quantum Key Distribution Using Gaussian-Modulated Squeezed States
Guangqiang He, Jun Zhu, Guihua Zeng
Per-Antenna Constant Envelope Precoding for Secure Transmission in Large-Scale MISO Systems
Jun Zhu, Ning Wang, Vijay K. Bhargava
Maximum Entropy Discrimination Markov Networks
Jun Zhu, Eric P. Xing
Kernel Implicit Variational Inference
Jiaxin Shi, Shengyang Sun, Jun Zhu
Sparse Adversarial Perturbations for Videos
Xingxing Wei, Jun Zhu, Hang Su
The Deposition of High-Quality HfO2 on Graphene and the Effect of Remote Oxide Phonon Scattering
Ke Zou, Xia Hong, Derek Keefer +1
Characterizations of all-derivable points in $B(H)$
Jun Zhu, Changping Xiong, Pan Li
Gate-controlled transmission of quantum Hall edge states in bilayer graphene
Jing Li, Hua Wen, Kenji Watanabe +2
Understanding MCMC Dynamics as Flows on the Wasserstein Space
Chang Liu, Jingwei Zhuo, Jun Zhu
SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data
Jingkang Yang, Haohan Wang, Jun Zhu +1
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Shaohua Li, Jun Zhu, Chunyan Miao
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu, Lei Deng, Guoqi Li +2
Boosting Adversarial Attacks with Momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang +4
Resampling methods for spatial regression models under a class of stochastic designs
S. N. Lahiri, Jun Zhu
Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process
Haosheng Zou, Hang Su, Shihong Song +1
A valley valve and electron beam splitter
Jing Li, Rui-Xing Zhang, Zhenxi Yin +5
Jordan higher all-derivable points in triangular algebras
Jun Zhu, Jinping Zhao
Spectral Learning for Supervised Topic Models
Yong Ren, Yining Wang, Jun Zhu
Message Passing Stein Variational Gradient Descent
Jingwei Zhuo, Chang Liu, Jiaxin Shi +3
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation
Jianfei Chen, Kaiwei Li, Jun Zhu +1
Multi-Objective Optimization for Robust Power Efficient and Secure Full-Duplex Wireless Communication Systems
Yan Sun, Derrick Wing Kwan Ng, Jun Zhu +1
Triple Generative Adversarial Nets
Chongxuan Li, Kun Xu, Jun Zhu +1
Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective
Shixia Liu, Xiting Wang, Mengchen Liu +1
Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)
Shaohua Li, Tat-Seng Chua, Jun Zhu +1
MedLDA: A General Framework of Maximum Margin Supervised Topic Models
Jun Zhu, Amr Ahmed, Eric P. Xing