Jian Zhang

Affiliations:
  • Louisiana State University, Department of Computer Science, Baton Rouge, LA, USA
  • SRI International, Menlo Park, CA, USA
  • Yale University, New Haven, CT, USA (PhD 2005)
  • Brandeis University, Waltham, MA, USA


According to our database1, Jian Zhang authored at least 34 papers between 2000 and 2020.

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Bibliography

2020
ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks.
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.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Exploiting Model-Level Parallelism in Recurrent Neural Network Accelerators.
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.
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019

Parallel Coordinates-based Visual Analytics for Materials Property.
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.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018
A Multi-Modality Deep Network for Cold-Start Recommendation.
Big Data Cogn. Comput., 2018

Deep Generative Breast Cancer Screening and Diagnosis.
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.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Classification of Android apps and malware using deep neural networks.
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).
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.
Intell. Data Anal., 2016

2015
Uncertain Reasoning Using Time-Dynamic Markov Random Field for Sensor-Network Applications.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Towards Better Semi-Supervised Classification of Malicious Software.
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.
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.
Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

2010
A Survey on Streaming Algorithms for Massive Graphs.
Proceedings of the Managing and Mining Graph Data, 2010

Gaussian process learning for cyber-attack early warning.
Stat. Anal. Data Min., 2010

A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks.
Proceedings of the Quality, Reliability, Security and Robustness in Heterogeneous Networks, 2010

Transferred correlation learning: An incremental scheme for neural network ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2010

The Influence Machine: Nonnegative Instance-Space Learning with Differentiated Regularization.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Knowledge Transfer for Feature Generation in Document Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Highly Predictive Blacklisting.
login Usenix Mag., 2008

Graph Distances in the Data-Stream Model.
SIAM J. Comput., 2008

2007
A New Service for Increasing the Effectiveness of Network Address Blacklists.
Proceedings of the 3rd Workshop on Steps to Reducing Unwanted Traffic on the Internet, 2007

Co-clustering by similarity refinement.
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.
Distributed Comput., 2006

Finding highly correlated pairs efficiently with powerful pruning.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
On graph problems in a semi-streaming model.
Theor. Comput. Sci., 2005

Computing Diameter in the Streaming and Sliding-Window Models.
Algorithmica, 2005

Graph distances in the streaming model: the value of space.
Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

Learning-based anomaly detection in BGP updates.
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.
Proceedings of the Twenty-Third Annual ACM Symposium on Principles of Distributed Computing, 2004

2000
Gain modulation of recurrent networks.
Neurocomputing, 2000


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