Jian Zhang

Publication Activity (10 Years)

Years Active: 2000-2020
Publications (10 Years): 15

Top Topics

Top Venues

VISIGRAPP (3: IVAPP)

Publications

Haoqiang Guo, Lu Peng, Jian Zhang, Qing Chen, Travis LeCompte
ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks. ICCD (2020)
Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks. CoRR (2020)
Diwas Bhattarai, Jian Zhang, Bijaya B. Karki
Parallel Coordinates-based Visual Analytics for Materials Property. VISIGRAPP (3: IVAPP) (2019)
Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks. IGSC (2019)
Qing Chen, Mingxuan Sun, Jian Zhang
Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets. MLDM (1) (2019)
Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan
Fooling AI with AI: An Accelerator for Adversarial Attacks on Deep Learning Visual Classification. ASAP (2019)
Lu Peng, Wentao Shi, Jian Zhang, Samuel Irving
Exploiting Model-Level Parallelism in Recurrent Neural Network Accelerators. MCSoC (2019)
Mingxuan Sun, Fei Li, Jian Zhang
A Multi-Modality Deep Network for Cold-Start Recommendation. Big Data Cogn. Comput. 2 (1) (2018)
Shayan Shams, Richard Platania, Joohyun Kim, Jian Zhang, Kisung Lee, Seungwon Yang, Seung-Jong Park
A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. BCB (2018)
Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Seung-Jong Park
Deep Generative Breast Cancer Screening and Diagnosis. MICCAI (2) (2018)
Robin Nix, Jian Zhang
Classification of Android apps and malware using deep neural networks. IJCNN (2017)
Richard Platania, Shayan Shams, Seungwon Yang, Jian Zhang, Kisung Lee, Seung-Jong Park
Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID). BCB (2017)
Shobhit S. Shakya, Jian Zhang, Bijaya B. Karki
ToPoMine: A graph miner for analysis of atom-dynamics simulation data in material science. Intell. Data Anal. 20 (5) (2016)
Shobhit S. Shakya, Jian Zhang
Uncertain Reasoning Using Time-Dynamic Markov Random Field for Sensor-Network Applications. FLAIRS Conference (2015)
Shobhit S. Shakya, Jian Zhang
Towards Better Semi-Supervised Classification of Malicious Software. IWSPA@CODASPY (2015)
Jian Zhang
Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification. ICMLA (1) (2011)
Lakshmanan Nataraj, Vinod Yegneswaran, Phillip A. Porras, Jian Zhang
A comparative assessment of malware classification using binary texture analysis and dynamic analysis. AISec (2011)
Jian Zhang, Rajgopal Kannan
A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks. QSHINE (2010)
Jian Zhang
The Influence Machine: Nonnegative Instance-Space Learning with Differentiated Regularization. ICMLA (2010)
Jian Zhang, Phillip A. Porras, Johannes Ullrich
Gaussian process learning for cyber-attack early warning. Stat. Anal. Data Min. 3 (1) (2010)
Lei Jiang, Jian Zhang, Gabrielle Allen
Transferred correlation learning: An incremental scheme for neural network ensembles. IJCNN (2010)
Jian Zhang, Shobhit S. Shakya
Knowledge Transfer for Feature Generation in Document Classification. ICMLA (2009)
Jian Zhang, Phillip A. Porras, Johannes Ullrich
Gaussian Process Learning for Cyber-Attack Early Warning. SDM (2008)
Jian Zhang, Phillip A. Porras, Johannes Ullrich
Highly Predictive Blacklisting. login Usenix Mag. 33 (6) (2008)
Jian Zhang, Phillip A. Porras, Johannes Ullrich
Highly Predictive Blacklisting. USENIX Security Symposium (2008)
Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
Graph Distances in the Data-Stream Model. SIAM J. Comput. 38 (5) (2008)
Jian Zhang
Co-clustering by similarity refinement. ICMLA (2007)
Jian Zhang, Phillip A. Porras, Johannes Ullrich
A New Service for Increasing the Effectiveness of Network Address Blacklists. SRUTI (2007)
Michael Elkin, Jian Zhang
Efficient algorithms for constructing (1+epsilon, beta)-spanners in the distributed and streaming models. Distributed Comput. 18 (5) (2006)
Jian Zhang, Joan Feigenbaum
Finding highly correlated pairs efficiently with powerful pruning. CIKM (2006)
Joan Feigenbaum, Sampath Kannan, Jian Zhang
Computing Diameter in the Streaming and Sliding-Window Models. Algorithmica 41 (1) (2005)
Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
Graph distances in the streaming model: the value of space. SODA (2005)
Jian Zhang, Jennifer Rexford, Joan Feigenbaum
Learning-based anomaly detection in BGP updates. MineNet (2005)
Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
On graph problems in a semi-streaming model. Theor. Comput. Sci. 348 (2-3) (2005)
Michael Elkin, Jian Zhang
Efficient algorithms for constructing (1+, varepsilon;, beta)-spanners in the distributed and streaming models. PODC (2004)
Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
On Graph Problems in a Semi-streaming Model. ICALP (2004)
Jian Zhang, L. F. Abbott
Gain modulation of recurrent networks. Neurocomputing (2000)