Gain modulation of recurrent networks. - Jian Zhang 004; L. F. Abbott (Neurocomputing, 2000)

Efficient algorithms for constructing (1+, varepsilon;, beta)-spanners in the distributed and streaming models. - Michael Elkin; Jian Zhang 004 (PODC, 2004)

Learning-based anomaly detection in BGP updates. - Jian Zhang 004; Jennifer Rexford; Joan Feigenbaum (MineNet, 2005)

Graph distances in the streaming model: the value of space. - Joan Feigenbaum; Sampath Kannan; Andrew McGregor 001; Siddharth Suri; Jian Zhang 004 (SODA, 2005)

Computing Diameter in the Streaming and Sliding-Window Models. - Joan Feigenbaum; Sampath Kannan; Jian Zhang 004 (Algorithmica, 2005)

On graph problems in a semi-streaming model. - Joan Feigenbaum; Sampath Kannan; Andrew McGregor 001; Siddharth Suri; Jian Zhang 004 (Theor. Comput. Sci., 2005)

Finding highly correlated pairs efficiently with powerful pruning. - Jian Zhang 004; Joan Feigenbaum (CIKM, 2006)

Efficient algorithms for constructing (1+epsilon, beta)-spanners in the distributed and streaming models. - Michael Elkin; Jian Zhang 004 (Distributed Comput., 2006)

Co-clustering by similarity refinement. - Jian Zhang 004 (ICMLA, 2007)

A New Service for Increasing the Effectiveness of Network Address Blacklists. - Jian Zhang 004; Phillip A. Porras; Johannes Ullrich (SRUTI, 2007)

Graph Distances in the Data-Stream Model. - Joan Feigenbaum; Sampath Kannan; Andrew McGregor 001; Siddharth Suri; Jian Zhang 004 (SIAM J. Comput., 2008)

Highly Predictive Blacklisting. - Jian Zhang 004; Phillip A. Porras; Johannes Ullrich (login Usenix Mag., 2008)

Knowledge Transfer for Feature Generation in Document Classification. - Jian Zhang 004; Shobhit S. Shakya (ICMLA, 2009)

The Influence Machine: Nonnegative Instance-Space Learning with Differentiated Regularization. - Jian Zhang 004 (ICMLA, 2010)

Transferred correlation learning: An incremental scheme for neural network ensembles. - Lei Jiang 010; Jian Zhang 004; Gabrielle Allen (IJCNN, 2010)

A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks. - Jian Zhang 004; Rajgopal Kannan (QSHINE, 2010)

Gaussian process learning for cyber-attack early warning. - Jian Zhang 004; Phillip A. Porras; Johannes Ullrich (Stat. Anal. Data Min., 2010)

A Survey on Streaming Algorithms for Massive Graphs. - Jian Zhang 004 (Managing and Mining Graph Data, 2010)

A comparative assessment of malware classification using binary texture analysis and dynamic analysis. - Lakshmanan Nataraj; Vinod Yegneswaran; Phillip A. Porras; Jian Zhang 004 (AISec, 2011)

Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification. - Jian Zhang 004 (ICMLA (1), 2011)

Towards Better Semi-Supervised Classification of Malicious Software. - Shobhit S. Shakya; Jian Zhang 004 (IWSPA@CODASPY, 2015)

Uncertain Reasoning Using Time-Dynamic Markov Random Field for Sensor-Network Applications. - Shobhit S. Shakya; Jian Zhang 004 (FLAIRS, 2015)

ToPoMine: A graph miner for analysis of atom-dynamics simulation data in material science. - Shobhit S. Shakya; Jian Zhang 004; Bijaya B. Karki (Intell. Data Anal., 2016)

Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID). - Richard Platania; Shayan Shams; Seungwon Yang; Jian Zhang 004; Kisung Lee; Seung-Jong Park (BCB, 2017)

Classification of Android apps and malware using deep neural networks. - Robin Nix; Jian Zhang 004 (IJCNN, 2017)

A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. - Shayan Shams; Richard Platania; Joohyun Kim 001; Jian Zhang 004; Kisung Lee; Seungwon Yang; Seung-Jong Park (BCB, 2018)

Deep Generative Breast Cancer Screening and Diagnosis. - Shayan Shams; Richard Platania; Jian Zhang 004; Joohyun Kim 001; Seung-Jong Park (MICCAI (2), 2018)

A Multi-Modality Deep Network for Cold-Start Recommendation. - Mingxuan Sun; Fei Li; Jian Zhang 004 (Big Data Cogn. Comput., 2018)

Fooling AI with AI: An Accelerator for Adversarial Attacks on Deep Learning Visual Classification. - Haoqiang Guo; Lu Peng 001; Jian Zhang 004; Fang Qi; Lide Duan (ASAP, 2019)

Parallel Coordinates-based Visual Analytics for Materials Property. - Diwas Bhattarai; Jian Zhang 004; Bijaya B. Karki (VISIGRAPP (3: IVAPP), 2019)

Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks. - Haoqiang Guo; Lu Peng 001; Jian Zhang 004; Fang Qi; Lide Duan (IGSC, 2019)

Exploiting Model-Level Parallelism in Recurrent Neural Network Accelerators. - Lu Peng 001; Wentao Shi; Jian Zhang 004; Samuel Irving (MCSoC, 2019)

Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets. - Qing Chen; Mingxuan Sun; Jian Zhang 004 (MLDM (1), 2019)

ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks. - Haoqiang Guo; Lu Peng 001; Jian Zhang 004; Qing Chen; Travis LeCompte (ICCD, 2020)

Improved Polyp Segmentation of Irregular Shapes in Colonoscopy Images. - Swagat Ranjit; Jian Zhang 004; Bijaya B. Karki (AIIoT, 2024)

Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation. - Dipesh Gyawali; Jian Zhang 004; Bijaya B. Karki (VISIGRAPP (4): VISAPP, 2024)

Automated Polyp Segmentation in Colonoscopy Images. - Swagat Ranjit; Jian Zhang 004; Bijaya B. Karki (CoRR, 2024)