World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
96
Citations
37010
World Ranking
227
National Ranking
113

Overview

Yu Cao is affiliated with the University of Minnesota in the United States and has contributed extensively to the fields of engineering and computer science. Their research spans multiple subfields including biomedical engineering, computer vision and pattern recognition, control and systems engineering, electrical and electronic engineering, and artificial intelligence.

The researcher's recent papers cover a range of topics primarily focused on control systems, robotics, and neural network applications. Notable publications include:

  • Neural-network-based nonlinear model predictive tracking control of a pneumatic muscle actuator-driven exoskeleton, 2020, IEEE/CAA Journal of Automatica Sinica
  • Adaptive Proxy-Based Robust Control Integrated With Nonlinear Disturbance Observer for Pneumatic Muscle Actuators, 2020, IEEE/ASME Transactions on Mechatronics
  • A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Yu Cao's research interests include prosthetics and rehabilitation robotics, advanced neural network applications, muscle activation and electromyography studies, adaptive control of nonlinear systems, soft robotics and applications, optical imaging and spectroscopy techniques, and electrical and bioimpedance tomography.

The author has published frequently in the following venues:

  • arXiv (Cornell University)
  • IEEE/ASME Transactions on Mechatronics
  • Remote Sensing
  • ISA Transactions
  • IEEE Transactions on Cognitive and Developmental Systems

Collaborations have been an important aspect of Yu Cao's research, with frequent co-authors including Jian Huang, Mengshi Zhang, Caihua Xiong, Jindong Liu, and Dongrui Wu. These partnerships have contributed to a broad output across multiple domains of engineering and computer science.

Best Publications

  • New Generation of Predictive Technology Model for Sub-45 nm Early Design Exploration

    Wei Zhao;Yu Cao

  • CrackTree: Automatic crack detection from pavement images

    Qin Zou;Yu Cao;Qingquan Li;Qingzhou Mao

  • New paradigm of predictive MOSFET and interconnect modeling for early circuit simulation

    Y. Cao;T. Sato;M. Orshansky;D. Sylvester

  • New Generation of Predictive Technology Model for Sub-45nm Design Exploration

    Wei Zhao;Yu Cao

  • Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks

    Naveen Suda;Vikas Chandra;Ganesh Dasika;Abinash Mohanty

  • Modeling and minimization of PMOS NBTI effect for robust nanometer design

    Rakesh Vattikonda;Wenping Wang;Yu Cao

  • Flexible Hybrid Electronics for Digital Healthcare.

    Yinji Ma;Yingchao Zhang;Shisheng Cai;Zhiyuan Han

  • Frequency-independent equivalent-circuit model for on-chip spiral inductors

    Yu Cao;R.A. Groves;Xuejue Huang;N.D. Zamdmer

  • Predictive Modeling of the NBTI Effect for Reliable Design

    S. Bhardwaj;Wenping Wang;R. Vattikonda;Y. Cao

  • Cooperative mobile robotics: antecedents and directions

    Y.U. Cao;A.S. Fukunaga;A.B. Kahng;F. Meng

  • Compact Modeling and Simulation of Circuit Reliability for 65-nm CMOS Technology

    Wenping Wang;V. Reddy;A.T. Krishnan;R. Vattikonda

  • Frequency-independent equivalent circuit model for on-chip spiral inductors

    Yu Cao;R.A. Groves;N.D. Zamdmer;J.-O. Plouchart

  • Switch-mediated activation and retargeting of CAR-T cells for B-cell malignancies

    David T. Rodgers;Magdalena Mazagova;Eric N. Hampton;Yu Cao

  • Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • Minimising efficiency roll-off in high-brightness perovskite light-emitting diodes.

    Wei Zou;Renzhi Li;Shuting Zhang;Yunlong Liu;Yunlong Liu

  • Mapping Statistical Process Variations Toward Circuit Performance Variability: An Analytical Modeling Approach

    Yu Cao;L.T. Clark

  • Exploring sub-20nm FinFET design with predictive technology models

    Saurabh Sinha;Greg Yeric;Vikas Chandra;Brian Cline

  • The Impact of NBTI Effect on Combinational Circuit: Modeling, Simulation, and Analysis

    Wenping Wang;Shengqi Yang;S. Bhardwaj;S. Vrudhula

  • Hybrid structure of zinc oxide nanorods and three dimensional graphene foam for supercapacitor and electrochemical sensor applications

    Xiaochen Dong;Yunfa Cao;Jing Wang;Mary B. Chan-Park

  • Optimizing the Convolution Operation to Accelerate Deep Neural Networks on FPGA

    Yufei Ma;Yu Cao;Sarma Vrudhula;Jae-sun Seo

  • DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment

    Chang Liu;Yu Cao;Yan Luo;Guanling Chen

  • A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure

    Chang Liu;Yu Cao;Yan Luo;Guanling Chen

Frequent Co-Authors

Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Sarma Vrudhula
Sarma Vrudhula Arizona State University
Chenming Hu
Chenming Hu University of California, Berkeley
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Pai-Yu Chen
Pai-Yu Chen Arizona State University
Chongwu Zhou
Chongwu Zhou University of Southern California
Huazhong Yang
Huazhong Yang Tsinghua University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Bertan Bakkaloglu
Bertan Bakkaloglu Arizona State University

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