YU CAO, COMPUTER SCIENCE, UMASS CENTER FOR DIGITAL HEALTH, COMPUTATIONAL INTELLIGENCE AND BIOMEDICAL INFORMATICS LAB Associate Professor; Executive Director, Co-director; Director

Yu Cao

Professor; Director, UMass Center for Digital Health (CDH)

College
Kennedy College of Sciences
Department
Miner School of Computer & Information Sciences
Phone
978-934-3628
Fax
978-934-3551
Office
Dandeneau Hall - 319
Email
yu_cao@uml.edu
Links

Expertise

Big Data Analytics, Computational Intelligence, Multimedia Computing, and Biomedical Informatics

Research Interests

Yu Cao's research interests span a variety of aspects of algorithms and software infrastructure for big data analytics, computational intelligence, multimedia computing, and biomedical informatics.

Selected Publications

  • Chen, S., Liu, C., Cao, Y., Luo, Y., Chen, G., Vokkarane, V.M., Ma, Y., Hou, P. (2017). A New Deep Learning-based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure. IEEE Transactions on Services Computing, PP(99) 1-1.
  • Zhao, T., Huang, X., Cao, Y. (2017). DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning. arXiv preprint arXiv:1701.02284.
  • Zhu, Y., Wu, Y., Su, H., Hu, S., Cao, T., Zhang, J., Cao, Y. (2017). Identify Non-fatigue State to Fatigue State Using Causality Measure During Game Play (pp. 581--588).
  • Li, P., Xu, C., Luo, Y., Cao, Y., Mathew, J., Ma, Y. (2017). CareNet: Building a Secure Software-defined Infrastructure for Home-based Healthcare (pp. 69–72). ACM
  • Hu, X., Hu, S., Zhang, J., Kong, W., Cao, Y. (2016). A Fatal Drawback of the Widely Used Granger Causality in Neuroscience. 2016 Sixth International Conference on Information Science & Technology (ICIST)!!!, 61.
  • Ye, X., Chen, G., Gao, Y., Wang, H., Cao, Y. (2016). Assisting Food Journaling with Automatic Eating Detection. Conference on Human Factors in Computing Systems Proceedings, 3255.
  • Liu, C., Cao, Y., Luo, Y., Chen, G., Vokkarane, V.M., Ma, Y. (2016). DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment (pp. 37–48). Springer-Verlag New York, Inc.
  • Syeda-Mahmood, T., Guo, Y., Moradi, M., Beymer, D., Rajan, D., Cao, Y., Gur, Y., Negahdar, M. (2016). Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. Medical Image Computing & Computer-Assisted Intervention – MICCAI 2016: Part III!!!, 238.
  • Gao, Y., Zhang, N., Wang, H., Ding, X., Ye, X., Chen, G., Cao, Y. (2016). iHear Food: Eating Detection Using Commodity Bluetooth Headsets (pp. 163–172).
  • Zhang, J., Chen, M., Zhao, S., Hu, S., Shi, Z., Cao, Y. (2016). Relief-Based EEG Sensor Selection Methods for Emotion Recognition. Sensors (Basel, Switzerland), 16(10).
  • Kumar, A.V., Ali, R.F., Cao, Y., Krishnan, V. (2015). Application of Data Mining Tools for Classification of Protein Structural Class from Residue Based Averaged NMR Chemical Shifts. Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics.
  • Hu, S., Wang, H., Zhang, J., Kong, W., Cao, Y., Kozma, R. (2015). Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. IEEE.
  • Cao, Y., Hou, P., Brown, D., Wang, J., Chen, S. (2015). Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing (pp. 43–48).
  • Cao, Y., Chen, S., Hou, P., Brown, D. (2015). FAST: A Fog Computing Assisted Distributed Analytics System to Monitor Fall for Stroke Mitigation (pp. 2–11).
  • Li, P., Luo, Y., Zhang, N., Cao, Y. (2015). HeteroSpark: a Heterogeneous CPU/GPU Spark Platform for Machine Learning Algorithms (pp. 347–348).
  • Li, M., Cao, Y., Prabhakaran, B. (2015). Loss Aware Sample Packetization Strategy for Improvement of Body Sensor Data Analysis (pp. 673–678).
  • Li, M., Cao, Y., Prabhakaran, B. (2015). Multi-Level Sample Importance Ranking Based Progressive Transmission Strategy for Time Series Body Sensor Data (pp. 1–3).
  • Hu, S., Jia, X., Zhang, J., Kong, W., Cao, Y. (2015). Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality. IEEE.
  • He, L., Luo, Y., Cao, Y. (2014). Accelerator of Stacked Convolutional Independent Subspace Analysis for Deep Learning-Based Action Recognition (pp. 104–104).
  • Hu, S., Wang, H., Zhang, J., Kong, W., Cao, Y. (2014). Causality from Cz to C3/C4 or Between C3 and C4 Revealed by Granger Causality and New Causality During Motor Imagery (pp. 3178–3185).
  • Hu, S., Chi, J., Zhang, J., Kong, W., Cao, Y., He, B. (2014). Increase Trend of Correlation and Phase Synchrony of Microwire IEEG Before Macroseizure Onset. Cognitive neurodynamics, 8(2) 111–126.
  • Cao, Y., Steffey, S., He, J., Xiao, D., Tao, C., Chen, P., Müller, H. (2014). Medical Image Retrieval: A Multi-modal Approach.
  • Huang, X., Zhao, T., Cao, Y. (2014). PIR: A Domain Specific Language for Multimedia Information Retrieval. International Journal of Multimedia Data Engineering and Management (IJMDEM), 5(3) 1–27.
  • Cox, J., Cao, Y., Chen, G., He, J., Xiao, D. (2014). Smartphone-based Walking Speed Estimation for Stroke Mitigation (pp. 328–332).
  • Li, M., Cao, Y., Prabhakaran, B. (2013). A Data Analysis Driven Streaming Framework for Body Sensor Area Networks (pp. 205–208).
  • Hu, S., Chen, S., Zhang, J., Kong, W., Cao, Y. (2013). Identify the Reference Signal of Scalp EEG Recording (pp. 305–311).
  • Huang, X., Zhao, T., Cao, Y. (2013). PIR: A Domain Specific Language for Multimedia Retrieval (pp. 359–363).
  • Cao, Y., McAndrew, C. (2007). MOSFET Modeling for 45Nm and Beyond (pp. 638–643). IEEE Press
  • Chen, M., Cao, Y. (2006). Analysis of Pulse Signaling for Low-Power On-Chip Global Bus Design (pp. 401–406). IEEE Computer Society