Prof. Yu Cao, Ph.D.
Professor of Computer Science
Co-director, UMass Center for Digital Health
Senior Member, IEEE
One University Ave
Lowell, Massachusetts 01854
[Publications]08/2019: Three papers: "An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video" ; "Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features" ; and "AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy" accepted by the 2019 The IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Portland, U.S.A (ICTAI is a leading Conference of Artificial Intelligence in the Computer Society
05/2019: Paper "CLVSA: a Convolutional LSTM based Variational Sequence-to-Sequence model with Attention for predicting trends of financial markets " accepted by the 2019 International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China (IJCAI is one of the top conferences in Artificial Intelligence)
05/2019: Paper " Multi-stream single shot spatio-temporal action detection " and " People re-identification by multi-branch CNN with multi-scale features " accepted by the IEEE Conference on Image Processing (ICIP 2019), Taipei, Taiwan, China
[Join US] 12/2018: We are recruiting highly motivated doctorate students (multiple opennings) and Postdoc (one openning). Contact us at email@example.com and firstname.lastname@example.org for any further information.(click the detailed hiring flyer from here )
[Publications] 10/2017: Paper "Improved Multimodal Representation Learning with Skip Connections" accepted by the ACM Multimedia (ACM MM 2017), Mountain View, US. (ACM MM is one of the top conferences in Multimedia Signal Processing/Machine Learning/Deep Learning)
09/2017: Paper "TXCNN: Detecting Tuberculosis in Chest X-ray Images Using Convolutional Neural Network; accepted by the IEEE Conference on Image Processing (ICIP 2017), Beijing, China
[Grants] 10/2017: NSF Proposal "NSF Award #1738965: Building a Secure and Compliant Cyberinfrastructure for Translational Research" was awarded at the amount of $999,651 (Co-PI, PI Prof. Yan Luo)
[Publications] 02/2017: Paper "DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning" accepted by the International Conference on Learning Representations (ICLR 2017), Toulon, France. (ICLR is one of the top conferences in Deep Learning)
02/2017: Paper "A New Deep Learning-based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure" accepted by IEEE Transactions on Service Computing
[Grants] 07/2016: Proposal "UMass Center for Digital Health" was awarded by President’s Science & Technology Initiatives Fund at the amount of $125,000 (This is a joint proposal with researchers from three UMass campuses: Lowell, Worcester (Medical School), and Boston). See UMass System press release from here.
[Publications] 06/2016: Two papers "Improving Tuberculosis Diagnostics using Deep Learning and Mobile Health Technologies among Resource-poor and Marginalized Communities" and "iHearFood: Eating Detection Using Commodity Bluetooth Headsets" accepted by the IEEE Conference on Connected Health (CHASE 2016), Washington DC
06/2016: Paper "DeepFood: Deep Learning-based Food Image Recognition for Computer-aided Dietary Assessment" accepted by the 14th International Conference on Smart homes and Health telematics (ICOST 2016), Wuhan, China
05/2016: Paper "PNN for EEG-based Emotion Recognition" accepted by the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), Budapest, Hungary
04/2016: Paper "Causality Analysis during Shared Intentionality" accepted by 2th World Congress on Intelligent Control and Automation (WCICA 2016), Guilin, China
[Grants] 03/2016: Proposal "A New Generation Healthcare Monitoring System Platform over Big Data" was awarded by Eola Solutions, Inc., at the amount of $228,000 (PI, this is a multiple PI proposal and the other PI is Prof. Jie Wang)
[Publications] 11/2015: Paper "Shortcomings/limitations of Blockwise Granger Causality and Advances of Blockwise New Causality" accepted by the The IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (impact factor 4.37)
[Join US] 10/2015: I am recruiting highly motivated doctorate students (multiple opennings) and Postdoc (one openning). Contact me at email@example.com for any further information.
[Grants] 10/2015: NSF/NIH Proposal "NIH Award #1R01EB021900: A Sociotechnical Systems approach for Improving Tuberculosis Diagnostics Using Mobile Health Technologies" was awarded at the amount of $1,294,274 (PI, this is a multiple PI proposal and the other two PIs are Prof. Benyuan Liu and Prof. Maria Brunette)
NSF Proposal "NSF Award #1547428: Secure Data Architecture: STREAMS: Secure Transport and REsearch Architecture for Monitoring Stroke Recovery" was awarded at the amount of $500,000 (Co-PI, PI Prof. Yan Luo)
[Best Paper Award] 08/2015: Our Paper Entitled as "FAST: A Fog Computing Assisted Distributed Analytics System to Monitor Fall for Stroke Mitigation" was selected as Best Paper Award at the 10th IEEE International Conference on Networking, Architecture, and Storage (NAS 2015), Boston, MA, August, 2015
[Grants] 08/2015: NSF Proposal "NSF Award #1541434: Network Cyberinfrastructure (CI) for Biomedical Informatics Innovation " was awarded at the amount of $1,000,000 (Co-PI, PI Prof. Vinod Vokkarane)
[Publications] 07/2015: Paper "Comparison Analysis: Granger Causality and New Causality, and their applications to Motor Imagery" accepted by the The IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (impact factor 4.37)
Paper "Application of data mining tools for classification of protein structural class from residue based averaged NMR chemical shifts " accepted by The Biochimica et Biophysica Acta by Elsevier (impact factor 4.38)
Paper "Loss Aware Sample Packetization Strategy for Improvement of Body Sensor Data Analysis" accepted by Journal of Communication (impact factor 3.16)
Paper "FAST: A Fog Computing Assisted Distributed Analytics System to Monitor Fall for Stroke Mitigation " accepted by the 10th IEEE International Conference on Networking, Architecture, and Storage (NAS 2015) (Oral, acceptance rate 30%) Boston, MA, USA, 2015.
Paper "Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing " accepted by the Mobile Big Data 2015 workshop, in conjunction with Mobihoc 2015 (Oral) Hangzhou, China, 2015.
[Grants] 09/2014: NSF Proposal "NSF Award #1440737: FLowell: Accelerating Data-Driven Scientific Research at the University of Massachusetts Lowell " was awarded at the amount of $500,000 (Co-PI, PI Prof. Yan Luo)
[Publications] 09/2014: Paper "Loss Aware Sample Packetization Strategy for Improvement of Body Sensor Data Analysis" accepted by the 2015 International Conference on Computing, Networking and Communications (ICNC 2015) (Oral, Acceptance rate 30%), Anaheim, California, USA
Paper "Medical Image Retrieval: A Multi-modal Approach" accepted by Cancer Informatics (impact factor 1.64);
Paper "Smartphone-based Walking Speed Estimation for Stroke Mitigation" accepted by the IEEE International Symposium on Multimedia (ISM 2014) (Oral, acceptance rate 30%) Taichung, Taiwan, 2014.
Paper "Causality from Cz to C3/C4 or between C3 and C4 Revealed by Granger Causality and New Causality during Motor Imagery" accepted by The 2014 International Joint Conference on Neural Networks (IJCNN 2014) (Oral, Acceptance rate 25%), Beijing, China, 2014;
Paper "PIR: A Domain Specific Language for Multimedia Information Retrieval" accepted by International Journal of Multimedia Data Engineering and Management (IJMDEM) (Impact Factor: 0.94);
Paper "Accelerator of Stacked Convolutional Independent Subspace Analysis for Deep Learning-based Action Recognition" accepted by The 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2014), Boston, MA, USA, 2014
[Services] 02/2014: Prof. Cao is serving as PC member for 22nd ACM International Conference n Multimedia (ACM MultiMedia 2014), which is worldwide premier conference and a key world event to display scientific achievements and innovative industrial products in multimedia computing.
Prof. Cao is also serving as publicity Co-Chair for The IEEE International Symposium on Multimedia (ISM2014) (one of the premium international conferences in the area of multimedia computing)
Prof. Cao is also serving as publicity Co-Chair for IEEE/ASE Conference series on Big Data Science and Computing ((BigDataScience 2014)) (the premier international forum for research on advancing the core scientific and technological means of managing, analyzing, visualizing, and extracting useful information from large, diverse, distributed and heterogeneous data sets)
[Publications] 09/2013: Paper "Increase trend of correlation and phase synchrony of microwire iEEG before macroseizure onset " accepted by International Journal of Cognitive Neurodynamics, by Springer (Impact Factor: 1.985);
Paper "PIR: A Domain Specific Language for Multimedia Retrieval" accepted by IEEE International Symposium on Multimedia (ISM2013), Anaheim, California, USA, 2013; 08/2013:
Paper "Identify the Reference Signal of Scalp EEG Recording" accepted by The Sixth International Conference on Advanced Computational Intelligence (ICACI2013), Hangzhou, China, 2013;
Paper "A Data Analysis Driven Streaming Framework for Body Sensor Area Networks" accepted by The 8th ACM/IEEE International Conference on Body Area Networks (BodyNets 2013), Boston, Massachusetts, U.S, 2013.
[Professional Development] 12/2012: Dr. Cao has been named IEEE Senior Member. This honor was given to only 8% of IEEE membership of approximately 416,000 worldwide.
Dr. Yu Cao is a Full Professor at the Department of Computer Science, The University of Massachusetts Lowell. He is also serving as Co-director for UMass Center for Digital Health. He was a faculty at The University of Tennessee from from 2010 to 2013. He was a faculty at California State University from 2007 to 2010, h. Prior to that, he was a Visiting Fellow of Biomedical Engineering at Mayo Clinic, Rochester, Minnesota. He received his M.S. and Ph.D. degrees in Computer Science from Iowa State University in 2005 and 2007, respectively. He received the B.Eng. degree from Harbin Engineering University in 1997, the M.Eng. degree from Huazhong University of Science and Technology in 2000, all in Computer Science.
His research interests span a variety of aspects of knowledge discover from complex data, which include the area of biomedical informatics and intelligent system. Particular focus on scientific applications including: intelligent, multi-modal, and data-intensive medical image analysis and retrieval; motion tracking, analyzing, and visualization; and intelligent data analysis for electronic medical records and pervasive healthcare monitoring. Dr. Cao has over 70 peer-reviewed publications appeared in various prestigious journals, book chapters, and refereed conference proceedings in my field of endeavor. His research has been supported by seven NSF/NIH grants totaling $4.3 million, including six current active NSF/NIH awards totaling $3.8 million. He has served/is serving on Organizing Committees or Programming Committees of more than 30 international conferences and workshops. I am a senior member of IEEE, member of ACM, and Upsilon Pi Epsilon (UPE).
Grants and Funding:
"NIH/NSF (Award #1R01EB021900): A Sociotechnical Systems approach for Improving Tuberculosis Diagnostics Using Mobile Health Technologies", 2015-2019, (PI, this is a multiple PI proposal and the other two PIs are Prof. Benyuan Liu and Prof. Maria Brunette, $1,294,274)
"NSF (Award #1547428) Secure Data Architecture: STREAMS: Secure Transport and REsearch Architecture for Monitoring Stroke Recovery", 2016-2019, (Co-PI, $500,000)
"NSF (Award #1541434): Network Cyberinfrastructure (CI) for Biomedical Informatics Innovation " 2015-2017, (Co-PI, $1,000,000)
"NSF (Award #1440737): FLowell: Accelerating Data-Driven Scientific Research at the University of Massachusetts Lowell", 2014-2016, (Co-PI, $500,000)
US National Science Foundation "NSF CNS (Award #: 1229213): Acquisition of HPC-B: A High Performance Computational Infrastructure for Biomedical Informatics Research", 2012-2015, (PI, $305,494)
US National Science Foundation "NSF IIS (Award #: 1156639): Research on Biomedical Informatics", 2012-2015, (PI, $360,923)
Tennessee Higher Education Commission, The State of Tennessee "Computational Modeling of Physiological Data Using Inexpensive and Unobtrusive Sensors: A New Paradigm for Computational Physiology", 2012-2013, (Sole-PI, $49,606)
Tennessee Higher Education Commission, The State of Tennessee "Large-Scale Medical Image Modeling for Intelligent Medical Information Retrieval", 2011-2012, (Sole-PI, $43,540)
US National Science Foundation "NSF DBI (Award #: 0821820): Acquisition of a High-speed Camera System to Record Animal Movements in Three Dimensions", 2008-2012, (Co-PI, $311,414)
US National Science Foundation
Guest editor for Special Issue on Multimedia Data Semantic, Journal of Multimedia Tools and Applications, published by Springer (2011)
Guest editor for Special Issue: Data Semantics and Multimedia Information Managemen, Journal of Multimedia (2010)
Co-Chair for The ACM International Workshop on Medical Multimedia Analysis and Retrieval (MMAR2011), Held in conjunction with The Annual ACM International Conference on Multimedia (ACM Multimedia 2011)
Co-Chair for The IEEE International Workshop on Data Semantics for Multimedia Systems and Applications (DSMSA2008, 2009), held in conjunction with The IEEE International Symposium on Multimedia (ISM2008, 2009)
Yearbook of Medical Informatics (2010)
Journal of Multimedia Tools and Applications by Springer (2009-2011)
Journal of Neurocomputing by Elsevier (2007-2011)
IEEE transaction on Systems, Man and Cybernetics - Part B (2007-2008)
IEEE Transactions on Biomedical Circuits and Systems (2007)
Journal of Multimedia System by Springer (2008-2011)
Journal of Visual Languages & Computing by Elsevier (2009-2011)
Journal of Visual Image Communication &Representation by Elsevier(2009-2010)