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ORCIDWenqi Cao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Wenqi Cao, Gianluigi Pillonetto:
Dealing with collinearity in large-scale linear system identification using Gaussian regression. Autom. 166: 111708 (2024)- [j9]Wenqi Cao, Anders Lindquist:
Spectral Factorization of Rank-Deficient Rational Densities. SIAM J. Control. Optim. 62(1): 776-798 (2024) - 2023
- [j8]Wenqi Cao, Giorgio Picci, Anders Lindquist:
Identification of low rank vector processes. Autom. 151: 110938 (2023) - [j7]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): 3331-3345 (2023) - [j6]Wenqi Cao
, Anders Lindquist, Giorgio Picci:
Modeling of Low Rank Time Series. IEEE Trans. Autom. Control. 68(12): 7270-7285 (2023) - [c13]Ting Yuan, Wenqi Cao, Shuqi Zhang, Kaipei Yang, Markus Schoen, Bharanidhar Duraisamy:
Lane Detection and Estimation from Surround View Camera Sensing Systems. SENSORS 2023: 1-4 - [i8]Wenqi Cao, Gianluigi Pillonetto:
Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression. CoRR abs/2302.10959 (2023) - 2022
- [j5]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): 551-566 (2022) - [c12]Wenqi Cao, Gianluigi Pillonetto:
Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CDC 2022: 196-202 - [i7]Wenqi Cao, Gianluigi Pillonetto:
Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CoRR abs/2203.13633 (2022) - [i6]Hongze Liu, Jie Li, Shijing Yuan, Wenqi Cao, Bowen Li:
A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning. CoRR abs/2205.06101 (2022) - 2021
- [j4]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: 32351-32367 (2021) - [j3]Wenqi Cao, Cong Zhang:
An effective Parallel Integrated Neural Network System for industrial data prediction. Appl. Soft Comput. 107: 107397 (2021) - [c11]Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar:
Efficient Huge Page Management with Xpage. IEEE BigData 2021: 1317-1326 - [i5]Wenqi Cao, Anders Lindquist, Giorgio Picci:
Modeling of Low Rank Time Series. CoRR abs/2109.11814 (2021) - [i4]Wenqi Cao, Giorgio Picci, Anders Lindquist:
Identification of Low Rank Vector Processes. CoRR abs/2111.10899 (2021) - 2020
- [b1]Wenqi Cao:
Dynamic and Elastic Memory Management in Virtualized Clouds. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [j2]Wenqi Cao, Cong Zhang:
A Collaborative Compound Neural Network Model for Soil Heavy Metal Content Prediction. IEEE Access 8: 129497-129509 (2020) - [j1]Wenqi Cao, Ling Liu:
Hierarchical Orchestration of Disaggregated Memory. IEEE Trans. Computers 69(6): 844-855 (2020) - [c10]Wenqi Cao, Anders Lindquist, Giorgio Picci:
Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. CDC 2020: 4299-4305 - [c9]Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Abstraction and Optimization for Distributed Executors. CIC 2020: 78-87 - [e1]Surya Nepal, Wenqi Cao, Aziz Nasridinov, Md. Zakirul Alam Bhuiyan, Xuan Guo, Liang-Jie Zhang:
Big Data - BigData 2020 - 9th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. Lecture Notes in Computer Science 12402, Springer 2020, ISBN 978-3-030-59611-8 [contents] - [i3]Wenqi Cao, Anders Lindquist, Giorgio Picci:
Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. CoRR abs/2004.02463 (2020) - [i2]Giorgio Picci, Wenqi Cao, Anders Lindquist:
Modeling and Identification of Low Rank Vector Processes. CoRR abs/2012.05004 (2020)
2010 – 2019
- 2019
- [c8]Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Disaggregation: Research Problems and Opportunities. ICDCS 2019: 1664-1673 - 2018
- [c7]Wenqi Cao, Ling Liu:
Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud. IEEE BigData 2018: 191-200 - [c6]Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu:
Experimental Characterizations and Analysis of Deep Learning Frameworks. IEEE BigData 2018: 372-377 - [c5]Qi Zhang, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin:
Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing. ICDCS 2018: 1212-1223 - [c4]Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang:
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS 2018: 1258-1269 - [i1]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 abs/1810.12210 (2018) - 2016
- [c3]Wenqi Cao, Semih Sahin, Ling Liu, Xianqiang Bao:
Evaluation and Analysis of In-Memory Key-Value Systems. BigData Congress 2016: 26-33 - [c2]Semih Sahin, Wenqi Cao, Qi Zhang, Ling Liu:
JVM Configuration Management and Its Performance Impact for Big Data Applications. BigData Congress 2016: 410-417 - [c1]Xianqiang Bao, Ling Liu, Nong Xiao, Yutong Lu, Wenqi Cao:
Persistence and Recovery for In-Memory NoSQL Services: A Measurement Study. ICWS 2016: 530-537
Coauthor Index
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last updated on 2024-07-27 17:30 CEST by the dblp team
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