Wenqi Cao

According to our database, Wenqi Cao authored at least 26 papers between 2016 and 2024.

Collaborative distances:

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

2024

Spectral Factorization of Rank-Deficient Rational Densities.

Wenqi Cao, Anders Lindquist

SIAM J. Control. Optim., February, 2024

Dealing with collinearity in large-scale linear system identification using Gaussian regression.

Wenqi Cao, Gianluigi Pillonetto

Autom., 2024

2023

Modeling of Low Rank Time Series.

Wenqi Cao, Anders Lindquist, Giorgio Picci

IEEE Trans. Autom. Control., December, 2023

Mobile communication channel resource allocation technology in interference environment based on clustering algorithm.

Yuan Chen, Wenqi Cao, Wenjie Xu, Juan Li

J. Comput. Methods Sci. Eng., 2023

Identification of low rank vector processes.

Wenqi Cao, Giorgio Picci, Anders Lindquist

Autom., 2023

Lane Detection and Estimation from Surround View Camera Sensing Systems.

Ting Yuan, Wenqi Cao, Shuqi Zhang, Kaipei Yang, Markus Schoen, Bharanidhar Duraisamy

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

A Comparative Measurement Study of Deep Learning as a Service Framework.

Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang

IEEE Trans. Serv. Comput., 2022

A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning.

Hongze Liu, Jie Li, Shijing Yuan, Wenqi Cao, Bowen Li

CoRR, 2022

Dealing with collinearity in large-scale linear system identification using Bayesian regularization.

Wenqi Cao, Gianluigi Pillonetto

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

An effective Parallel Integrated Neural Network System for industrial data prediction.

Wenqi Cao, Cong Zhang

Appl. Soft Comput., 2021

IDP: An Intelligent Data Prediction Scheme Based on Big Data and Smart Service for Soil Heavy Metal Content Prediction.

Fang Chen, Cong Zhang, Junjie Zhang, Wenqi Cao

IEEE Access, 2021

Efficient Huge Page Management with Xpage.

Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Dynamic and Elastic Memory Management in Virtualized Clouds.

Wenqi Cao

PhD thesis, 2020

Hierarchical Orchestration of Disaggregated Memory.

Wenqi Cao, Ling Liu

IEEE Trans. Computers, 2020

Modeling and Identification of Low Rank Vector Processes.

Giorgio Picci, Wenqi Cao, Anders Lindquist

CoRR, 2020

A Collaborative Compound Neural Network Model for Soil Heavy Metal Content Prediction.

Wenqi Cao, Cong Zhang

IEEE Access, 2020

Memory Abstraction and Optimization for Distributed Executors.

Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu

Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification.

Wenqi Cao, Anders Lindquist, Giorgio Picci

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Memory Disaggregation: Research Problems and Opportunities.

Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing.

Qi Zhang, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond.

Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Experimental Characterizations and Analysis of Deep Learning Frameworks.

Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud.

Wenqi Cao, Ling Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Persistence and Recovery for In-Memory NoSQL Services: A Measurement Study.

Xianqiang Bao, Ling Liu, Nong Xiao, Yutong Lu, Wenqi Cao

Proceedings of the IEEE International Conference on Web Services, 2016

JVM Configuration Management and Its Performance Impact for Big Data Applications.

Semih Sahin, Wenqi Cao, Qi Zhang, Ling Liu

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

Evaluation and Analysis of In-Memory Key-Value Systems.

Wenqi Cao, Semih Sahin, Ling Liu, Xianqiang Bao

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016