Feng Zhang

According to our database, Feng Zhang authored at least 33 papers between 2009 and 2024.

Collaborative distances:

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

2024

An XGBoost-Based Method for Improved Orbit Prediction With an Orbit-Separate Modeling Strategy.

Wenbin Huang, Rui Tang, Guangzhi Qu, Feng Zhang

IEEE Trans. Aerosp. Electron. Syst., August, 2024

Edged Weisfeiler-Lehman Algorithm.

Xiao Yue, Bo Liu, Feng Zhang, Guangzhi Qu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation.

Lige Gan, Bo Liu, Andrew Meng, Feng Zhang, Guangzhi Qu

Proceedings of the IEEE International Conference on Data Mining, 2023

Efficient Differentially Private Tensor Factorization in the Parallel and Distributed Computing Paradigm.

Feng Zhang, Hao Wang, Ruixin Guo, Erkang Xue, Guangzhi Qu

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

DS-ADMM++: A Novel Distributed Quantized ADMM to Speed up Differentially Private Matrix Factorization.

Feng Zhang, Erkang Xue, Ruixin Guo, Guangzhi Qu, Gansen Zhao, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2022

Exploit the data level parallelism and schedule dependent tasks on the multi-core processors.

Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang

Inf. Sci., 2022

Landslide susceptibility assessment based on multi GPUs: a deep learning approach.

Chuliang Guo, Jinxia Wu, Shuaihe Zhao, Zihao Wang, Sansar Raj Meena, Feng Zhang

CCF Trans. High Perform. Comput., 2022

Edge utilization in graph convolutional networks for graph classification.

Xiao Yue, Guangzhi Qu, Bo Liu, Feng Zhang

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

BaPa: A Novel Approach of Improving Load Balance in Parallel Matrix Factorization for Recommender Systems.

Ruixin Guo, Feng Zhang, Lizhe Wang, Wusheng Zhang, Xinya Lei, Rajiv Ranjan, Albert Y. Zomaya

IEEE Trans. Computers, 2021

2020

Optimizing FHEW With Heterogeneous High-Performance Computing.

Xinya Lei, Ruixin Guo, Feng Zhang, Lizhe Wang, Rui Xu, Guangzhi Qu

IEEE Trans. Ind. Informatics, 2020

Optimizing the confidence bound of count-min sketches to estimate the streaming big data query results more precisely.

Ruixin Guo, Erkang Xue, Feng Zhang, Gansen Zhao, Guangzhi Qu

Computing, 2020

Blockchain application in remote sensing big data management and production.

Jining Yan, Lizhe Wang, Feng Zhang, Xiaodao Chen, Xiaohui Huang, Jiabao Li

Proceedings of the Blockchains for Network Security: Principles, 2020

2019

Privacy-aware smart city: A case study in collaborative filtering recommender systems.

Feng Zhang, Victor E. Lee, Ruoming Jin, Saurabh Garg, Kim-Kwang Raymond Choo, Michele Maasberg, Lijun Dong, Chi Cheng

J. Parallel Distributed Comput., 2019

Task Decomposition and Parallelization Planning for Automotive Power-Train Applications.

Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Distributed Differentially Private Matrix Factorization Based on ADMM.

Erkang Xue, Ruixin Guo, Feng Zhang, Lizhe Wang, Xiaohan Zhang, Guangzhi Qu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Accelerating Homomorphic Full Adder Based on FHEW Using Multicore CPU and GPUs.

Xinya Lei, Ruixin Guo, Feng Zhang, Lizhe Wang, Rui Xu, Guangzhi Qu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Parallelization Planning for Legacy Programs: A Multi-Objective Genetic Algorithm Approach.

Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

A Temporal Dependency Aware Approach for Scheduling Real-Time Tasks on Multi-Core Platforms.

Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Jo-DPMF: Differentially private matrix factorization learning through joint optimization.

Feng Zhang, Victor E. Lee, Kim-Kwang Raymond Choo

Inf. Sci., 2018

Discriminant document embeddings with an extreme learning machine for classifying clinical narratives.

Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse

Neurocomputing, 2018

2017

Fast lightweight reconfiguration of virtual constellation for obtaining of earth observation big data.

Lijun Dong, Hong Yao, Rajiv Ranjan, Feng Zhang, Mengqi Pan

Clust. Comput., 2017

2016

Constructing authentication web in cloud computing.

Gansen Zhao, Zhongjie Ba, Xinming Wang, Feng Zhang, Changqin Huang, Yong Tang

Secur. Commun. Networks, 2016

Fast algorithms to evaluate collaborative filtering recommender systems.

Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Chunming Rong, Guangzhi Qu

Knowl. Based Syst., 2016

Clinical narrative classification using discriminant word embeddings with ELM.

Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Automatic Species Recognition Based on Improved Birdsong Analysis.

Joshua Knapp, Guangzhi Qu, Feng Zhang

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

A Multilevel Security Model for Search Engine Over Integrated Data.

Gansen Zhao, Kaijun Chen, Haoxiang Tan, Xinming Wang, Meiying You, Jing Xiao, Feng Zhang

Trans. Comput. Collect. Intell., 2015

Simple is Beautiful: An Online Collaborative Filtering Recommendation Solution with Higher Accuracy.

Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Guangzhi Qu

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

k-CoRating: Filling Up Data to Obtain Privacy and Utility.

Feng Zhang, Victor E. Lee, Ruoming Jin

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Contructing Authentication Web in Cloud Computing.

Gansen Zhao, Zhongjie Ba, Feng Zhang, Qi Chen, Jianguo Li, Yong Tang

Proceedings of the 2013 International Conference on Cloud and Service Computing, 2013

2010

Histogram Distance for Similarity Search in Large Time Series Database.

Yicun Ouyang, Feng Zhang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Trusted Data Sharing over Untrusted Cloud Storage Providers.

Gansen Zhao, Chunming Rong, Jin Li, Feng Zhang, Yong Tang

Proceedings of the Cloud Computing, Second International Conference, 2010

2009

Cloud Computing: A Statistics Aspect of Users.

Gansen Zhao, Jiale Liu, Yong Tang, Wei Sun, Feng Zhang, Xiao-ping Ye, Na Tang

Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009

Privacy-Preserving Distributed k-Nearest Neighbor Mining on Horizontally Partitioned Multi-Party Data.

Feng Zhang, Gansen Zhao, Tingyan Xing

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009