Lax Formulation of 3-Component KP Hierarchy by Shiota Construction. - Cui, Tongtong; Wang, Jinbiao; Cao, Wenqi; Cheng, Jipeng (J. Nonlinear Sci., 2025)

ARMAX identification of low rank graphical models. - Cao, Wenqi; Li, Aming (CoRR, 2025)

Dealing with collinearity in large-scale linear system identification using Gaussian regression. - Cao, Wenqi; Pillonetto, Gianluigi (Autom., 2024)

Spectral Factorization of Rank-Deficient Rational Densities. - Cao, Wenqi; Lindquist, Anders (SIAM J. Control. Optim., 2024)

Multi-Sensor Track-to-Track Fusion Using Dynamic Consensus. - Zhang, Shuqi; Yuan, Ting; Cao, Wenqi; Chang, Kuo-Chu; Krishnan, Krishanth (2024)

Identification of low rank vector processes. - Cao, Wenqi; Picci, Giorgio; Lindquist, Anders (Autom., 2023)

Mobile communication channel resource allocation technology in interference environment based on clustering algorithm. - Chen, Yuan; Cao, Wenqi; Xu, Wenjie; Li, Juan (J. Comput. Methods Sci. Eng., 2023)

Modeling of Low Rank Time Series. - Cao, Wenqi; Lindquist, Anders; Picci, Giorgio (IEEE Trans. Autom. Control., 2023)

Lane Detection and Estimation from Surround View Camera Sensing Systems. - Yuan, Ting; Cao, Wenqi; Zhang, Shuqi; Yang, Kaipei; Schoen, Markus; Duraisamy, Bharanidhar (2023)

Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression. - Cao, Wenqi; Pillonetto, Gianluigi (CoRR, 2023)

A Comparative Measurement Study of Deep Learning as a Service Framework. - Wu, Yanzhao; Liu, Ling; Pu, Calton; Cao, Wenqi; Sahin, Semih; Wei, Wenqi; Zhang, Qi (IEEE Trans. Serv. Comput., 2022)

Dealing with collinearity in large-scale linear system identification using Bayesian regularization. - Cao, Wenqi; Pillonetto, Gianluigi (2022)

Dealing with collinearity in large-scale linear system identification using Bayesian regularization. - Cao, Wenqi; Pillonetto, Gianluigi (CoRR, 2022)

A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning. - Liu, Hongze; Li, Jie; Yuan, Shijing; Cao, Wenqi; Li, Bowen (CoRR, 2022)

IDP: An Intelligent Data Prediction Scheme Based on Big Data and Smart Service for Soil Heavy Metal Content Prediction. - Chen, Fang; Zhang, Cong; Zhang, Junjie; Cao, Wenqi (IEEE Access, 2021)

An effective Parallel Integrated Neural Network System for industrial data prediction. - Cao, Wenqi; Zhang, Cong (Appl. Soft Comput., 2021)

Efficient Huge Page Management with Xpage. - Cao, Wenqi; Liu, Ling; Su, Gong; Iyengar, Arun (2021)

Modeling of Low Rank Time Series. - Cao, Wenqi; Lindquist, Anders; Picci, Giorgio (CoRR, 2021)

Identification of Low Rank Vector Processes. - Cao, Wenqi; Picci, Giorgio; Lindquist, Anders (CoRR, 2021)

Dynamic and Elastic Memory Management in Virtualized Clouds. - Cao, Wenqi (2020)

A Collaborative Compound Neural Network Model for Soil Heavy Metal Content Prediction. - Cao, Wenqi; Zhang, Cong (IEEE Access, 2020)

Hierarchical Orchestration of Disaggregated Memory. - Cao, Wenqi; Liu, Ling (IEEE Trans. Computers, 2020)

Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. - Cao, Wenqi; Lindquist, Anders; Picci, Giorgio (2020)

Memory Abstraction and Optimization for Distributed Executors. - Sahin, Semih; Liu, Ling; Cao, Wenqi; Zhang, Qi; Bae, Juhyun; Wu, Yanzhao (2020)

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 (Springer, 2020)

Spectral Rank, Feedback, Causality and the Indirect Method for CARMA Identification. - Cao, Wenqi; Lindquist, Anders; Picci, Giorgio (CoRR, 2020)

Modeling and Identification of Low Rank Vector Processes. - Picci, Giorgio; Cao, Wenqi; Lindquist, Anders (CoRR, 2020)

Memory Disaggregation: Research Problems and Opportunities. - Liu, Ling; Cao, Wenqi; Sahin, Semih; Zhang, Qi; Bae, Juhyun; Wu, Yanzhao (2019)

Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud. - Cao, Wenqi; Liu, Ling (2018)

Experimental Characterizations and Analysis of Deep Learning Frameworks. - Wu, Yanzhao; Cao, Wenqi; Sahin, Semih; Liu, Ling (2018)

Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing. - Zhang, Qi; Liu, Ling; Pu, Calton; Cao, Wenqi; Sahin, Semih (2018)

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. - Liu, Ling; Wu, Yanzhao; Wei, Wenqi; Cao, Wenqi; Sahin, Semih; Zhang, Qi (2018)

A Comparative Measurement Study of Deep Learning as a Service Framework. - Wu, Yanzhao; Liu, Ling; Pu, Calton; Cao, Wenqi; Sahin, Semih; Wei, Wenqi; Zhang, Qi (CoRR, 2018)

Evaluation and Analysis of In-Memory Key-Value Systems. - Cao, Wenqi; Sahin, Semih; Liu, Ling; Bao, Xianqiang (2016)

JVM Configuration Management and Its Performance Impact for Big Data Applications. - Sahin, Semih; Cao, Wenqi; Zhang, Qi; Liu, Ling (2016)

Persistence and Recovery for In-Memory NoSQL Services: A Measurement Study. - Bao, Xianqiang; Liu, Ling; Xiao, Nong; Lu, Yutong; Cao, Wenqi (2016)