Wenqi Cao - RankMe

38 papers A 4B 1Journal 22Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ARMAX identification of low rank graphical models. CoRR Wenqi Cao, Aming Li
2025	J	`jnl`	Data-driven functional state estimation of complex networks. CoRR Yuan Zhang, Ziyuan Luo, Wenxuan Xu, Jiayu Wu, Wenqi Cao, Ranbo Cheng, Tingting Qin, Yuanqing Xia, Mohamed Darouach, Aming Li, Tyrone Fernando
2025	J	`jnl`	Lax Formulation of 3-Component KP Hierarchy by Shiota Construction. J. Nonlinear Sci. Tongtong Cui, Jinbiao Wang, Wenqi Cao, Jipeng Cheng
2025	J	`jnl`	Modeling and Topology Estimation of Low Rank Dynamical Networks. CoRR Wenqi Cao, Aming Li
2024	J	`jnl`	Dealing with collinearity in large-scale linear system identification using Gaussian regression. Autom. Wenqi Cao, Gianluigi Pillonetto
2024	—	`conf`	Multi-Sensor Track-to-Track Fusion Using Dynamic Consensus. SDF Shuqi Zhang, Ting Yuan, Wenqi Cao, Kuo-Chu Chang, Krishanth Krishnan
2024	J	`jnl`	Spectral Factorization of Rank-Deficient Rational Densities. SIAM J. Control. Optim. Wenqi Cao, Anders Lindquist
2023	J	`jnl`	Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression. CoRR Wenqi Cao, Gianluigi Pillonetto
2023	J	`jnl`	Identification of low rank vector processes. Autom. Wenqi Cao, Giorgio Picci, Anders Lindquist
2023	—	`conf`	Lane Detection and Estimation from Surround View Camera Sensing Systems. SENSORS Ting Yuan, Wenqi Cao, Shuqi Zhang, Kaipei Yang, Markus Schoen, Bharanidhar Duraisamy
2023	J	`jnl`	Mobile communication channel resource allocation technology in interference environment based on clustering algorithm. J. Comput. Methods Sci. Eng. Yuan Chen, Wenqi Cao, Wenjie Xu, Juan Li
2023	J	`jnl`	Modeling of Low Rank Time Series. IEEE Trans. Autom. Control. Wenqi Cao, Anders Lindquist, Giorgio Picci
2022	J	`jnl`	A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
2022	J	`jnl`	A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning. CoRR Hongze Liu, Jie Li, Shijing Yuan, Wenqi Cao, Bowen Li
2022	—	`conf`	Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CDC Wenqi Cao, Gianluigi Pillonetto
2022	J	`jnl`	Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CoRR Wenqi Cao, Gianluigi Pillonetto
2021	J	`jnl`	An effective Parallel Integrated Neural Network System for industrial data prediction. Appl. Soft Comput. Wenqi Cao, Cong Zhang
2021	—	`conf`	Efficient Huge Page Management with Xpage. IEEE BigData Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar
2021	J	`jnl`	IDP: An Intelligent Data Prediction Scheme Based on Big Data and Smart Service for Soil Heavy Metal Content Prediction. IEEE Access Fang Chen, Cong Zhang, Junjie Zhang, Wenqi Cao
2021	J	`jnl`	Identification of Low Rank Vector Processes. CoRR Wenqi Cao, Giorgio Picci, Anders Lindquist
2021	J	`jnl`	Modeling of Low Rank Time Series. CoRR Wenqi Cao, Anders Lindquist, Giorgio Picci
2020	J	`jnl`	A Collaborative Compound Neural Network Model for Soil Heavy Metal Content Prediction. IEEE Access Wenqi Cao, Cong Zhang
2020	B	`ed.`	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 BigData Surya Nepal, Wenqi Cao, Aziz Nasridinov, Md. Zakirul Alam Bhuiyan, Xuan Guo, Liang-Jie Zhang
2020	—	`—`	Dynamic and Elastic Memory Management in Virtualized Clouds. Wenqi Cao
2020	J	`jnl`	Hierarchical Orchestration of Disaggregated Memory. IEEE Trans. Computers Wenqi Cao, Ling Liu
2020	—	`conf`	Memory Abstraction and Optimization for Distributed Executors. CIC Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu
2020	J	`jnl`	Modeling and Identification of Low Rank Vector Processes. CoRR Giorgio Picci, Wenqi Cao, Anders Lindquist
2020	—	`conf`	Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. CDC Wenqi Cao, Anders Lindquist, Giorgio Picci
2020	J	`jnl`	Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. CoRR Wenqi Cao, Anders Lindquist, Giorgio Picci
2019	A	`conf`	Memory Disaggregation: Research Problems and Opportunities. ICDCS Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu
2018	J	`jnl`	A Comparative Measurement Study of Deep Learning as a Service Framework. CoRR Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang
2018	A	`conf`	Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. ICDCS Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang
2018	—	`conf`	Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud. IEEE BigData Wenqi Cao, Ling Liu
2018	A	`conf`	Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing. ICDCS Qi Zhang, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin
2018	—	`conf`	Experimental Characterizations and Analysis of Deep Learning Frameworks. IEEE BigData Yanzhao Wu, Wenqi Cao, Semih Sahin, Ling Liu
2016	—	`conf`	Evaluation and Analysis of In-Memory Key-Value Systems. BigData Congress Wenqi Cao, Semih Sahin, Ling Liu, Xianqiang Bao
2016	—	`conf`	JVM Configuration Management and Its Performance Impact for Big Data Applications. BigData Congress Semih Sahin, Wenqi Cao, Qi Zhang, Ling Liu
2016	A	`conf`	Persistence and Recovery for In-Memory NoSQL Services: A Measurement Study. ICWS Xianqiang Bao, Ling Liu, Nong Xiao, Yutong Lu, Wenqi Cao