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Wenqi Cao
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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
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
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
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
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
A Collaborative Compound Neural Network Model for Soil Heavy Metal Content Prediction. IEEE Access 8: 129497-129509 (2020) - [j1]Wenqi Cao
Hierarchical Orchestration of Disaggregated Memory. IEEE Trans. Computers 69(6): 844-855 (2020) - [c10]Wenqi Cao
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
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
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
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 16:42 CEST by the dblp team
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