Jian Zhang - RankMe

42 papers A* 4A 2B 2C 5Misc 1Journal 12Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Automated Polyp Segmentation in Colonoscopy Images. CoRR Swagat Ranjit, Jian Zhang, Bijaya B. Karki
2024	—	`conf`	Improved Polyp Segmentation of Irregular Shapes in Colonoscopy Images. AIIoT Swagat Ranjit, Jian Zhang, Bijaya B. Karki
2024	—	`conf`	Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation. VISIGRAPP (4): VISAPP Dipesh Gyawali, Jian Zhang, Bijaya B. Karki
2024	J	`jnl`	Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation. CoRR Dipesh Gyawali, Jian Zhang, Bijaya B. Karki
2020	C	`conf`	ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks. ICCD Haoqiang Guo, Lu Peng, Jian Zhang, Qing Chen, Travis LeCompte
2020	J	`jnl`	Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks. CoRR Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan
2019	—	`conf`	Exploiting Model-Level Parallelism in Recurrent Neural Network Accelerators. MCSoC Lu Peng, Wentao Shi, Jian Zhang, Samuel Irving
2019	—	`conf`	Fooling AI with AI: An Accelerator for Adversarial Attacks on Deep Learning Visual Classification. ASAP Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan
2019	—	`conf`	Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks. IGSC Haoqiang Guo, Lu Peng, Jian Zhang, Fang Qi, Lide Duan
2019	—	`conf`	Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets. MLDM (1) Qing Chen, Mingxuan Sun, Jian Zhang
2019	—	`conf`	Parallel Coordinates-based Visual Analytics for Materials Property. VISIGRAPP (3: IVAPP) Diwas Bhattarai, Jian Zhang, Bijaya B. Karki
2018	—	`conf`	A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. BCB Shayan Shams, Richard Platania, Joohyun Kim, Jian Zhang, Kisung Lee, Seungwon Yang, Seung-Jong Park
2018	J	`jnl`	A Multi-Modality Deep Network for Cold-Start Recommendation. Big Data Cogn. Comput. Mingxuan Sun, Fei Li, Jian Zhang
2018	—	`conf`	Deep Generative Breast Cancer Screening and Diagnosis. MICCAI (2) Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Seung-Jong Park
2017	—	`conf`	Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID). BCB Richard Platania, Shayan Shams, Seungwon Yang, Jian Zhang, Kisung Lee, Seung-Jong Park
2017	B	`conf`	Classification of Android apps and malware using deep neural networks. IJCNN Robin Nix, Jian Zhang
2016	J	`jnl`	ToPoMine: A graph miner for analysis of atom-dynamics simulation data in material science. Intell. Data Anal. Shobhit S. Shakya, Jian Zhang, Bijaya B. Karki
2015	—	`conf`	Towards Better Semi-Supervised Classification of Malicious Software. IWSPA@CODASPY Shobhit S. Shakya, Jian Zhang
2015	Misc	`conf`	Uncertain Reasoning Using Time-Dynamic Markov Random Field for Sensor-Network Applications. FLAIRS Shobhit S. Shakya, Jian Zhang
2011	—	`conf`	A comparative assessment of malware classification using binary texture analysis and dynamic analysis. AISec Lakshmanan Nataraj, Vinod Yegneswaran, Phillip A. Porras, Jian Zhang
2011	—	`conf`	Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification. ICMLA (1) Jian Zhang
2010	C	`conf`	A Sparse Bayesian Framework for Anomaly Detection in Heterogeneous Networks. QSHINE Jian Zhang, Rajgopal Kannan
2010	—	`ch.`	A Survey on Streaming Algorithms for Massive Graphs. Managing and Mining Graph Data Jian Zhang
2010	J	`jnl`	Gaussian process learning for cyber-attack early warning. Stat. Anal. Data Min. Jian Zhang, Phillip A. Porras, Johannes Ullrich
2010	C	`conf`	The Influence Machine: Nonnegative Instance-Space Learning with Differentiated Regularization. ICMLA Jian Zhang
2010	B	`conf`	Transferred correlation learning: An incremental scheme for neural network ensembles. IJCNN Lei Jiang, Jian Zhang, Gabrielle Allen
2009	C	`conf`	Knowledge Transfer for Feature Generation in Document Classification. ICMLA Jian Zhang, Shobhit S. Shakya
2008	A	`conf`	Gaussian Process Learning for Cyber-Attack Early Warning. SDM Jian Zhang, Phillip A. Porras, Johannes Ullrich
2008	J	`jnl`	Graph Distances in the Data-Stream Model. SIAM J. Comput. Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
2008	A*	`conf`	Highly Predictive Blacklisting. USENIX Security Symposium Jian Zhang, Phillip A. Porras, Johannes Ullrich
2008	J	`jnl`	Highly Predictive Blacklisting. login Usenix Mag. Jian Zhang, Phillip A. Porras, Johannes Ullrich
2007	—	`conf`	A New Service for Increasing the Effectiveness of Network Address Blacklists. SRUTI Jian Zhang, Phillip A. Porras, Johannes Ullrich
2007	C	`conf`	Co-clustering by similarity refinement. ICMLA Jian Zhang
2006	J	`jnl`	Efficient algorithms for constructing (1+epsilon, beta)-spanners in the distributed and streaming models. Distributed Comput. Michael Elkin, Jian Zhang
2006	A	`conf`	Finding highly correlated pairs efficiently with powerful pruning. CIKM Jian Zhang, Joan Feigenbaum
2005	J	`jnl`	Computing Diameter in the Streaming and Sliding-Window Models. Algorithmica Joan Feigenbaum, Sampath Kannan, Jian Zhang
2005	A*	`conf`	Graph distances in the streaming model: the value of space. SODA Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
2005	—	`conf`	Learning-based anomaly detection in BGP updates. MineNet Jian Zhang, Jennifer Rexford, Joan Feigenbaum
2005	J	`jnl`	On graph problems in a semi-streaming model. Theor. Comput. Sci. Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
2004	A*	`conf`	Efficient algorithms for constructing (1+, varepsilon;, beta)-spanners in the distributed and streaming models. PODC Michael Elkin, Jian Zhang
2004	A*	`conf`	On Graph Problems in a Semi-streaming Model. ICALP Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, Jian Zhang
2000	J	`jnl`	Gain modulation of recurrent networks. Neurocomputing Jian Zhang, L. F. Abbott