Wenqi Cao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Topics

Matrix Decomposition

Learning Frameworks

Top Venues

Publications

Wenqi Cao, Gianluigi Pillonetto
Dealing with collinearity in large-scale linear system identification using Gaussian regression. Autom. 166 (2024)
Wenqi Cao, Anders Lindquist
Spectral Factorization of Rank-Deficient Rational Densities. SIAM J. Control. Optim. 62 (1) (2024)
Yuan Chen, Wenqi Cao, Wenjie Xu, Juan Li
Mobile communication channel resource allocation technology in interference environment based on clustering algorithm. J. Comput. Methods Sci. Eng. 23 (6) (2023)
Wenqi Cao, Giorgio Picci, Anders Lindquist
Identification of low rank vector processes. Autom. 151 (2023)
Wenqi Cao, Anders Lindquist, Giorgio Picci
Modeling of Low Rank Time Series. IEEE Trans. Autom. Control. 68 (12) (2023)
Wenqi Cao, Gianluigi Pillonetto
Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression. CoRR (2023)
Ting Yuan, Wenqi Cao, Shuqi Zhang, Kaipei Yang, Markus Schoen, Bharanidhar Duraisamy
Lane Detection and Estimation from Surround View Camera Sensing Systems. SENSORS (2023)
Wenqi Cao, Gianluigi Pillonetto
Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CoRR (2022)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. 15 (1) (2022)
Wenqi Cao, Gianluigi Pillonetto
Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CDC (2022)
Hongze Liu, Jie Li, Shijing Yuan, Wenqi Cao, Bowen Li
A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning. CoRR (2022)
Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar
Efficient Huge Page Management with Xpage. IEEE BigData (2021)
Wenqi Cao, Giorgio Picci, Anders Lindquist
Identification of Low Rank Vector Processes. CoRR (2021)
Wenqi Cao, Anders Lindquist, Giorgio Picci
Modeling of Low Rank Time Series. CoRR (2021)
Fang Chen, Cong Zhang, Junjie Zhang, Wenqi Cao
IDP: An Intelligent Data Prediction Scheme Based on Big Data and Smart Service for Soil Heavy Metal Content Prediction. IEEE Access 9 (2021)
Wenqi Cao, Cong Zhang
An effective Parallel Integrated Neural Network System for industrial data prediction. Appl. Soft Comput. 107 (2021)
Wenqi Cao, Cong Zhang
A Collaborative Compound Neural Network Model for Soil Heavy Metal Content Prediction. IEEE Access 8 (2020)
Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu
Memory Abstraction and Optimization for Distributed Executors. CIC (2020)
Wenqi Cao, Anders Lindquist, Giorgio Picci
Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. CDC (2020)
Wenqi Cao, Ling Liu
Hierarchical Orchestration of Disaggregated Memory. IEEE Trans. Computers 69 (6) (2020)
Wenqi Cao, Anders Lindquist, Giorgio Picci
Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. CoRR (2020)
Giorgio Picci, Wenqi Cao, Anders Lindquist
Modeling and Identification of Low Rank Vector Processes. CoRR (2020)
Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu
Memory Disaggregation: Research Problems and Opportunities. ICDCS (2019)
Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS (2018)
Qi Zhang, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin
Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing. ICDCS (2018)
Wenqi Cao, Ling Liu
Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud. IEEE BigData (2018)
Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR (2018)
Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu
Experimental Characterizations and Analysis of Deep Learning Frameworks. IEEE BigData (2018)
Wenqi Cao, Semih Sahin, Ling Liu, Xianqiang Bao
Evaluation and Analysis of In-Memory Key-Value Systems. BigData Congress (2016)
Xianqiang Bao, Ling Liu, Nong Xiao, Yutong Lu, Wenqi Cao
Persistence and Recovery for In-Memory NoSQL Services: A Measurement Study. ICWS (2016)
Semih Sahin, Wenqi Cao, Qi Zhang, Ling Liu
JVM Configuration Management and Its Performance Impact for Big Data Applications. BigData Congress (2016)