Jian Zhang

According to our database, Jian Zhang authored at least 34 papers between 2000 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks.

Haoqiang Guo, Lu Peng, Jian Zhang, Qing Chen, Travis LeCompte

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2019

Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets.

Qing Chen, Mingxuan Sun, Jian Zhang

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Exploiting Model-Level Parallelism in Recurrent Neural Network Accelerators.

Lu Peng, Wentao Shi, Jian Zhang, Samuel Irving

Proceedings of the 13th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2019

Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks.

Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan

Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019

Parallel Coordinates-based Visual Analytics for Materials Property.

Diwas Bhattarai, Jian Zhang, Bijaya B. Karki

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Fooling AI with AI: An Accelerator for Adversarial Attacks on Deep Learning Visual Classification.

Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018

A Multi-Modality Deep Network for Cold-Start Recommendation.

Mingxuan Sun, Fei Li, Jian Zhang

Big Data Cogn. Comput., 2018

Deep Generative Breast Cancer Screening and Diagnosis.

Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Seung-Jong Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks.

Shayan Shams, Richard Platania, Joohyun Kim, Jian Zhang, Kisung Lee, Seungwon Yang, Seung-Jong Park

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Classification of Android apps and malware using deep neural networks.

Robin Nix, Jian Zhang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID).

Richard Platania, Shayan Shams, Seungwon Yang, Jian Zhang, Kisung Lee, Seung-Jong Park

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

ToPoMine: A graph miner for analysis of atom-dynamics simulation data in material science.

Shobhit S. Shakya, Jian Zhang, Bijaya B. Karki

Intell. Data Anal., 2016

2015

Uncertain Reasoning Using Time-Dynamic Markov Random Field for Sensor-Network Applications.

Shobhit S. Shakya, Jian Zhang

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Towards Better Semi-Supervised Classification of Malicious Software.

Shobhit S. Shakya, Jian Zhang

Proceedings of the 2015 ACM International Workshop on International Workshop on Security and Privacy Analytics, 2015

2011

Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification.

Jian Zhang

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

A comparative assessment of malware classification using binary texture analysis and dynamic analysis.

Lakshmanan Nataraj, Vinod Yegneswaran, Phillip A. Porras, Jian Zhang

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010

A Survey on Streaming Algorithms for Massive Graphs.

Jian Zhang

Proceedings of the Managing and Mining Graph Data, 2010

Gaussian process learning for cyber-attack early warning.

Jian Zhang, Phillip A. Porras, Johannes Ullrich

Stat. Anal. Data Min., 2010

A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks.

Jian Zhang, Rajgopal Kannan

Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2010

Transferred correlation learning: An incremental scheme for neural network ensembles.

Lei Jiang, Jian Zhang, Gabrielle Allen

Proceedings of the International Joint Conference on Neural Networks, 2010

The Influence Machine: Nonnegative Instance-Space Learning with Differentiated Regularization.

Jian Zhang

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Knowledge Transfer for Feature Generation in Document Classification.

Jian Zhang, Shobhit S. Shakya

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Highly Predictive Blacklisting.

Jian Zhang, Phillip A. Porras, Johannes Ullrich

login Usenix Mag., 2008

Graph Distances in the Data-Stream Model.

Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang

SIAM J. Comput., 2008

2007

A New Service for Increasing the Effectiveness of Network Address Blacklists.

Jian Zhang, Phillip A. Porras, Johannes Ullrich

Proceedings of the 3rd Workshop on Steps to Reducing Unwanted Traffic on the Internet, 2007

Co-clustering by similarity refinement.

Jian Zhang

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006

Efficient algorithms for constructing (1+epsilon, beta)-spanners in the distributed and streaming models.

Michael Elkin, Jian Zhang

Distributed Comput., 2006

Finding highly correlated pairs efficiently with powerful pruning.

Jian Zhang, Joan Feigenbaum

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005

On graph problems in a semi-streaming model.

Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang

Theor. Comput. Sci., 2005

Computing Diameter in the Streaming and Sliding-Window Models.

Joan Feigenbaum, Sampath Kannan, Jian Zhang

Algorithmica, 2005

Graph distances in the streaming model: the value of space.

Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang

Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

Learning-based anomaly detection in BGP updates.

Jian Zhang, Jennifer Rexford, Joan Feigenbaum

Proceedings of the 1st Annual ACM Workshop on Mining Network Data, 2005

2004

Efficient algorithms for constructing (1+, varepsilon;, beta)-spanners in the distributed and streaming models.

Michael Elkin, Jian Zhang

Proceedings of the Twenty-Third Annual ACM Symposium on Principles of Distributed Computing, 2004

2000

Gain modulation of recurrent networks.

Jian Zhang, L. F. Abbott

Neurocomputing, 2000