Organized Research Center for Imaging, Acoustics, and Perception Science
(CIAPS)

What is CIAPS?



Imaging Science, Acoustic Science, and Perception Science (IAP) are the highly interdisciplinary fields which combine aspects of science, mathematics, and engineering. Imaging Science is a unique multidisciplinary approach to solving problems using imaging systems. These problems can range from understanding the environment at both large and microscopic scales, to understanding how the human eye-brain system allows us to visually understand the world. We use imaging systems to learn about the long hidden content of ancient documents, recognize human face and fingerprints, identify manipulated pictures, and support disaster relief efforts with images from airplanes and satellites. Acoustics is the interdisciplinary science that deals with the study of all mechanical waves including vibration, sound, ultrasound, especially their generation, transmission, and reception. The perception is to study how people translate sensory impressions into a coherent and unified view of the world around them.


CIAPSDescription

The mission of the CIAPS is to advance the scientific underpinnings of imaging and audioception technologies as well as increase the scientific understanding of human perception and cognitive mechanism, for applications in security, health-care, arts, robotics, environmental, and social science, etc. The center will also promote and facilitate interdisciplinary collaborations among CIAPS researchers and industry developers, leading to large-scale multidisciplinary research projects development with impacts both scientifically and economically.




Objective of CIAPS



The objective of the CISPS Center lies in three-fold:

  • Advance the scientific underpinnings of imaging and audioception technologies as well as increase the scientific understanding of human perception and cognitive mechanism, for applications in security, health-care, arts, robotics, environmental and social science, etc.

  • Promote and facilitate interdisciplinary collaboration among IAP researchers in Binghamton in both academia and industry, leading to large-scale multidisciplinary research projects development with external funding

  • Generate great impacts by translating the IAP scientific research to technology and product development with a great commercial potential for enhancing economic development opportunities in local region, New York State, as well as the nation as a whole.




News and Upcoming Events



  • 07/12/2020

    Projects Supported by Seed Funds

  • 10/10/2019

    CIAPS Lunch Meeting

  • 10/15/2019

    CIAPS seminar series in 2019-2020

  • 03/07/2018

    CIAPS seminar series in 2017-2018

· Long-term, Shared Autonomy with Augmented 360-Degree Vision for Mobile Telepresence Robotics, PIs: Shiqi Zhang (CS) and Yao Liu (CS)

· Validating the concept of label-free surgical dermatopathology via stimulated Raman imaging of fresh frozen tissues from Mohs surgery PIs: Fake Lu (BME), L. Yin (CS), external collaborator Dr. Sherrif Ibrahim (U of Rochester)

· Deep-learning Based Denoising and Registration of Brain Functional Images, PIs: Weiying Dai (CS) and L. Yin (CS)

· Landmine Detection via R-CNN Processing of UAV-based Imagery PIs: Kenneth Chiu (CS), Alex Nikulin (Geology), Tim de Smet (Geology)

· Road condition assessment using deep learning and in-situ sensing PIs: Chengbin Deng (Geography) and L. Yin (CS)

CIAPS lunch meeting on Oct.10 (12pm-1pm) at T01 Engineering Building.

· Invited Talk:Pain and Substance Use: Research Findings, Treatment Implications, and Future Directions, Dr. Emily Zale (Department of Psychology, Binghamton University (Oct. 29, 2020, 1:00pm-2:00pm via Zoom: https://binghamton.zoom.us/my/lijunyin)

· Invited Talk: “Shapes, Reconstruction, and Deep Fakes from a Generative Perspective” by Dr. Ilke Demir, Senior Research Scientist at Intel, (Oct. 15, 2020, 12pm-1pm via Zoom: https://binghamton.zoom.us/my/lijunyin)

· Invited Talk:”A Statistical Distribution-based Deep Neuron Network Model – a new perspective on effective learning” By Dr. Jinjun Xiong, IBM T. J. Watson Research Center, Yorktown Heights, NY (Oct. 16, 2020, 1pm-2pm via Zoom: https://binghamton.zoom.us/my/lijunyin)

· Invited talk:“Designing Controlled Experiments for Data Analysis in Public Health and Policy: An Introduction”, by Dr. Hao Deng, Massachusetts General Hospital/Harvard Medical School, and John Hopkins Bloomberg School of Public Health; Date/Time: September 18, 2020 (Friday: noon-1pm) via Zoom: https://binghamton.zoom.us/my/lijunyin

· Seminar talk:”Computational modeling of human affection and its applications” By Dr. Lijun Yin (Department of Computer Science, Binghamton University (September 10, 2020, 9am-10am via Zoom)

· Upcoming Invited Talk: Dr. Rodney M. Gabel (Decker's School of Rehabilitation Sciences, Binghamton University (Date/Time: TBA)

· Upcoming Invited Talk: Dr. Michael Reale (SUNY Polytechnic Institute (Date/Time: TBA)

· Invited talk:Dynamic functional brain imaging in early diagnosis and treatment therapy, by Dr. Weiying Dai, Assistant Professor of Computer Science, Binghamton University, 12pm-1pm on Nov.7 Thursday at G11 conference room of Engineering building

· Invited talk: Multiphoton optical imaging renders rapid label-free digital pathology for cancer diagnosis, by Dr. Frank (Fa-ke) Lu, Assistant Professor of Biomedical Engineering, Binghamton University, 12pm-1pm on Nov.14 Thursday at G11 conference room of Engineering building

· Invited talk: From Multi-Robot Systems to Human-Robot Interaction and Collaboration, by Dr. Shiqi Zhang, Assistant Professor of Computer Science, Binghamton University, 12pm-1pm on Dec.5 Thursday at G11 conference room of Engineering building

· Invited talk: Designing Evolutionary Rule-based Machine Learning for Real World Applications, Prof. Keiki Takadam, The University of Electro-Communications, Tokyo, April, 2019 (Hosted by Dr. Shiqi Zhang)

· Seminar talk: Multimodal emotion analysis with EEG and videos, Xiaotian Li and Xiang Zhang, April 28, 2020 (via Zoom)

· Seminar talk: Privacy protection by portrait replacement, Zhe Ge, May 12, 2020 (via Zoom)

· Invited talk: Challenges Facing Computational Face, Dr. Laszlo A. Jeni, Carnegie Mellon University, July 2018

· Invited talk: Digital Facial Morphometry for Face Perception Research, Dr. Carl Martin Grewe, Zuse Institute Berlin, Germany, Aug. 2018

· Invited talk: Quantitative susceptibility mapping (QSM): physics, algorithm and applications, Dr. Yi Wang, Cornell University, Sept. 2018

· Invited talk: Mechanical object modeling, detection, recognition, and classification, Taichi Wada, The University of Electro-Communications, Tokyo, Japan, Oct. 2018

· Invited talk: Object Oriented Data Analysis, Dr. Steve Marron from UNC Chapel Hill, March, 2018 (co-organized with Data Science TWG)

· Invited talk: Integrating Prior Knowledge and Data for Efficient Visual Learning, Dr. Qiang Ji, Rensselaer Polytechic Institute, Nov. 2017




Faculty Team




Lijun Yin

Professor, Director of Organized Research Center for Imaging, Acoustics, and Perception Science

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Computer vision & graphics, HCI, biometrics
 607-777-5484
 lijun@cs.binghamton.edu

Scott Craver

Associate Professor and Undergraduate Director

Department of Electrical and Computer Engineering
Thomas J. Watson School of Engineering and Applied Science
 Information security, Cryptology, Steganography, Watermarking and DRM systems
 607-777-7238
 scraver@binghamton.edu

Ronald Miles

SUNY Distinguished Professor

Department of Mechanical Engineering
Thomas J. Watson School of Engineering and Applied Science
 Acoustics, micro-acoustic sensor, vibrations.
 607-777-4038
 miles@binghamton.edu

Peter C. Gerhardstrin

Professor and Cognitive and Brain Science Coordinator

Department of Psychology
Harper College of Arts and Science
 Visual perception and cognition
 607-777-4387
 gerhard@binghamton.edu

Zhongfei (Mark) Zhang

Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Multimedia and image data learning & retrieval
 607-777-2935
 zhongfei@cs.binghamton.edu

Jessica Fridrich

Distinguished Professor

Department of Electrical and Computer Engineering
Thomas J. Watson School of Engineering and Applied Science
 Steganography and steganalysis
 607-777-6177
 fridrich@binghamton.edu

Carl P. Lipo

Professor, Director of Environmental Studies; Associate Dean for Reasearch and Programs

Department of Anthropology
Harper College of Arts and Science
 Remote sensing and thermal imagery for study of archaeological record
 607-777-4306
 clipo@binghamton.edu

Mohammad T. Khasawneh

Professor and Department Chair

Department of Systems Science & Industrial Engineering
Thomas J. Watson School of Engineering and Applied Science
 Digital human modeling in manufacturing and healthcare
 607-777-4408
 mkhasawn@binghamton.edu

Xingye Qiao

Associate Professor, Director of Undergraduate Studies

Department of Mathematical Sciences
Harper College of Arts and Science
 Statistical machine learning and pattern recognition
 607-777-2593
 qiao@math.binghamton.edu

Kenneth Chiu

Associate Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 High-performance computing, Big data, Bioinformatics
 607-777-7320
 kchiu@cs.binghamton.edu

Lei Yu

Associate Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Machine learning, Data mining, Bioformatics
 607-777-6250
 lyu@binghamton.edu

Chengbin Deng

Associate Professor

Department of Geography
Harper College of Arts and Science
 Remote sensing image processing, spatial analysis and modeling, GIS
 607-777-6791
 cdeng@binghamton.edu

Fake "Frank" Lu

Assistant Professor

Department of Biomedical Engineering
Thomas J. Watson School of Engineering and Applied Science
 Multiphoton microscopy, Label-free digital histopathology, SRS microscopy, Dynamic imaging into the tumor microenvironment, Computer-visi
 607-777-5777
 fakelu@binghamton.edu

Weiying Dai

Assistant Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Medical Image (MRI, CT, neuroimaging, Angiography)
 607-777-4859
 wdai@binghamton.edu

Shiqi Zhang

Assistant Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Artificial Intelligence, Robotics, Human-robot interaction, Machine Learning
 607-777-4355
 zhangs@binghamton.edu

Yao Liu

Assistant Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Power-efficient video streaming, QoE improved VR visualization
 607-777-4365
 yaoliu@binghamton.edu

Mark Fowler

Distinguished Teaching Professor

Department of Electrical and Computer Engineering
Thomas J. Watson School of Engineering and Applied Science
 Image compression and signal processing
 607-777-6973
 mfowler@binghamton.edu

Daehan Won

Assistant Professor

Department of Systems Science & Industrial Engineering
Thomas J. Watson School of Engineering and Applied Science
 Large scaled data analysis via mathematical programming and algorithms
 607-777-5024
 dhwon@binghamton.edu

Michael Dobbins

Assistant Professor

Department of Mathematical Sciences
Harper College of Arts and Science
 Computational geometry and visual topology
 607-777-2378
 dobbins@math.binghamton.edu

Matthew C. Sanger

Assistant Professor of Anthropology

Department of Anthropology
Harper College of Arts and Science
 Imaging for archaeological objects and contexts study
 607-777-6739
 msanger@binghamton.edu

Timothy S. de Smet

Environmental Visualization, Research Assistant Professor

Department of Anthropology
Harper College of Arts and Science
 Geoarchaeology, UAV-based remote sensing, GIS Statistical and Physics Modeling
 607-777-5523
 tdesmet@binghamton.edu

Qiusheng Wu

Assistant Professor

Department of Geography
Harper College of Arts and Science
 GIS, multispectral remote sensing, Environmental Change
 607-777-3145
 wqs@binghamton.edu

Jeremy Blackburn

Assistant Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Measurements, Data science, Social media, Social network analysis
 607-777-4830
 jblackbu@binghamton.edu

Kaiyan Yu

Assistant Professor

Department of Mechanical Engineering
Thomas J. Watson School of Engineering and Applied Science
 Autonomous robotic system, Nano/micro particles control and manipulation, Dynamic systems and control, Motion planning and motion control
 607-777-5038
 kyu@binghamton.edu

Emily L. Zale

Assistant Professor

Department of Psychology
Harper College of Arts and Science
 Health Psychology and Behavioral Medicine, with an emphasis on interrelations between substance use, chronic medical conditions, and psychopathology
 607-777-3381
 ezale@binghamton.edu

Guifang Fu

Assistant Professor

Department of Mathematical Sciences
Harper College of Arts and Science
 Statistical Shape Analysis, Biostatistics, Functional Data Analysis, Mixture Models
 607-777-3550
 gfu@math.binghamton.edu

Andrew Horowitz

Artist In Residence

Theatre Department
Harper College of Arts and Science
 Modern Dance
 607-348-4044
 ahorowi@binghamton.edu

David Schaffer

Visiting Research Professor

Institute for Justice and Well-Being
College of Community and Public Affairs
 Theory and applications of evolutionary computations, Machine learning, Neural networks
 607-777-9145
 dschaffe@binghamton.edu

Rodney M. Gabel

Professor

School of Rehabilitation Science
Decker College of Nursing and Health Sciences
 Speech and Language Pathology
 607-777-4680
 rgabel@binghamton.edu

Michael R. Buck

Associate Professor

School of Rehabilitation Sciences
Decker College of Nursing and Health Sciences
 Physical Therapy
 607-777-5446
 mbuck@binghamton.edu

Arti Ramesh

Assistant Professor

Department of Computer Science
Thomas J. Watson School of Engineering and Applied Science
 Natural Language Processing and Machine learning
 607-777-4829
 artir@binghamton.edu



Publications




International Conference on Computer Vision and Pattern Recognition (CVPR),2016

Emotion is expressed in multiple modalities, yet most research has considered at most one or two. This stems in part from the lack of large, diverse, well-annotated, multimodal databases with which to develop and test algorithms. We present a well-annotated, multimodal, multidimensional spontaneous emotion corpus of 140 participants. Emotion inductions were highly varied. Data were acquired from a variety of sensors of the face that included high-resolution 3D dynamic imaging, high-resolution 2D video, and thermal (infrared) sensing, and contact physiological sensors that included electrical conductivity of the skin, respiration, blood pressure, and heart rate. Facial expression was annotated for both the occurrence and intensity of facial action units from 2D video by experts in the Facial Action Coding System (FACS). The corpus further includes derived features from 3D, 2D, and IR (infrared) sensors and baseline results for facial expression and action unit detection. The entire corpus will be made available to the research community.

Z. Zhang, J. Girard, Y. Wu, X. Zhang, P. Liu, U. Ciftci, S. Canavan, M. Reale, A. Horowitz, H. Yang, J. Cohn, Q. Ji, and L. Yin


IEEE International Conference on Automatic Face and Gesture Recognition (FG),2020

X. Li, X. Zhang, W. Duan, W. Dai, and L. Yin


The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG),2019

I. Ertugrul, J. Cohn, L. Jeni, Z. Zhang, L. Yin, and Q. Ji


The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG),2019

Huiyuan Yang and Lijun Yin


The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG),2019

Michael J. Reale, Benjamin Klinghoffer, Micah Church, Hannah Szmurlo, Lijun Yin


IEEE Winter Conf. on Applications of Computer Vision (WACV 2019),2019

Peng Liu, Zheng Zhang, Huiyuan Yang, and Lijun Yin


The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG),2019

I. Ertugrul, J. Cohn, L. Jeni, Z. Zhang, L. Yin, and Q. Ji


Workshop of IEEE International Conference on Computer Vision (ICCV 2019 Workshop),2019

Rohith Krishnan Pillai, Laszlo Attila Jeni, Huiyuan Yang, Zheng Zhang, Lijun Yin, and Jeffrey F Cohn


8th International Conference on Affective Computing and Intelligent Interaction (ACII),2019

Jeff Girard, Gayatri Shandar, Zhun Liu, Jeff Cohn, Lijun Yin, and Louis-Philippe Morency


Conference of American Chemical Society (ACS), Vol.257,2019

Omowunmi Sadik, Idris Yazgan, Lijun Yin, and Peter Gerhardstein


14th International Symposium on Visual Computing (ISVC),2019

Umur Ciftci and Lijun Yin


IEEE International Conference on Image Processing (ICIP),2019

Kaoning Hu, Lijun Yin, Tianyang Wang


Journal of Cognitive Education and Psychology, 18, 108-130,2019

Learmonth, A. E., Lui, M., Janhofer, E., Barr, R., & Gerhardstein, P.


British Journal of Developmental Psychology, 37, 68-83,2019

Moser, A., Olsen, S., S. Rusnak, Barr, R. & Gerhardstein, P.


Journal of Cerebral Blood Flow & Metabolism, 39(2):302-312,2019

Li Zhao, David C Alsop, John A Detre, Weiying Dai


Journal of Magnetic Resonance Imaging, 49(3):834-844,2019

Yuheng Chen, Wenna Duan, Parshant Sehrawat, Vaibhav Chauhan, Freddy J Alfaro, Anna Gavrieli, Xingye Qiao, Vera Novak and Weiying Dai


Bipolar Disorder,2019

Weiying Dai, Mingzhao Chen, Wenna Duan, Li Zhao, Nicolas R Bolo, Carol Tamminga, David C Alsop, Matcheri Keshavan


Anesthesiology, 131(3): 477-491,2019

Lori A Daiello, Weiying Dai, et al.


Advances in Neural Information Processing Systems (NeuralIPS),2019

Qiao, X., Duan, J. and Cheng, G


Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 33, 3404-3411,2019

Cohen, A., Qiao, X., Yu, L., Way, E. and Tong, X.


Statistica Sinica, 29, 387-407,2019

Weng, H., Feng, Y. and Qiao, X.


IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2019

Saeid Amiri, Sujay Bajracharya, Cihangir Goktolga, Jesse Thomason, and Shiqi Zhang


IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2019

Yuqian Jiang, Fangkai Yang, Shiqi Zhang, and Peter Stone


Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI),2019

Keting Lu, Shiqi Zhang, and Xiaoping Chen


In proceedings of the 35th International Conference on Logic Programming (ICLP),2019

Yi Wang, Shiqi Zhang, and Joohyung Lee


Autonomous Robots,2019

Yuqian Jiang, Harel Yedidsion, Shiqi Zhang, Guni Sharon, and Peter Stone


Frontiers of Information Technology & Electronic Engineering volume 20, pages 363–373,2019

Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, and Peter Stone


Proceedings of the 4th ACM/IEEE Symposium on Edge Computing,2019

Yao Liu and Chao Zhou, Shuoqian Wang, and Mengbai Xiao


Proceedings of the 27th ACM International Conference on Multimedia (ACMMM),2019

Mengbai Xiao, Shuoqian Wang, Chao Zhou, Li Liu, Zhenhua Li, Yao Liu, Songqing Chen


Springer,2019

Zhongfei (Mark) Zhang and Ruofei Zhang, edited by Oded Maimon, Lior Rokach, and Erez Shmueli


IEEE Transactions on Cybernetics, Volume 49, Number 10, Pages 3755-3766,2019

Yunlong Yu, Zhong Ji, Jichang Guo, Zhongfei Zhang


Conference on Knowledge Science, Engineering, and Management (KSEM),2019

Lida Zhu, Shichao Liu, Fuxi Zhu, and Zhongfei Zhang


American Geophysical Union, Fall Meeting,2019

J Baur, TS de Smet, A Nikulin


Journal of Remote Sensing,2020

Jasper Baur, Gabriel Steinberg, Alex Nikulin, Kenneth Chiu, and Timothy S. de Smet


SPIE/COS Photonics Asia. Proceedings Volume 11190,2019

Yuanzhen Suo, Wenlong Yang, Fake Lu, X. Sunney Xie


Addictive Behaviors, 92, 173-179,2019

Hooten,W. M., LaRowe, L. R., Zale, E. L.,Ditre, J. W., & Warner, D. O.


Addiction Research and Theory,2019

Kosiba,J. D., Mitzel, L. D., Zale, E. L.,Zvolensky, M. J., & Ditre, J. W.


Current Orthopedics Research and Education,2019

Verheil,S., Greenberg, J.,Zale, E. L., Chen, N. C., Ring,D., & Vranceanu, A. M.


The American Journal of Drug and Alcohol Abuse,2019

Zale, E. L., LaRowe, L. R., Boissoneault, J.,Maisto, S. A., & Ditre, J. W.


Journal of Pain Research,2019

Greenberg, J., Lin, A., Zale, E. L., Kulich, R., James, P., Millstein, R. A., Edward, R., & Vranceanu, A.



Procedia Manufacturing, 38:217-224,2019

S. Cao, I. Parviziomran, S. Park, and D. Won.


Procedia Manufacturing, 38:108-116,2019

H. Lu, H. Wang, S. W. Yoon, D. Won, and S. Park


Procedia Manufacturing, 38:100-107,2019

I. Parviziomran, S. Cao, H. Yang, S. Park, and D. Won


In Optimization in Large Scale Problems, Springer,2019

H. Wang, Q. Zhang, D. Won, and S. W. Yoon


IISE Transactions on Healthcare Systems Engineering, 9(3):250–271,2019

H.Wang, D.Won, and S.W.Yoon


IEEE Transactions on Components, Packaging and Manufacturing Technology, 9(12):2490–2498,2019

H. Lu, H. Wang, S. W. Yoon, and D. Won


Springer International Publishing AG, Gewerbestrasse 11, 6330 Cham, Switzerland,2019

Walker H. Land, Jr, J. David Schaffer


Biomicrofluidics 13, 024103,2019

Mikhail Coloma, J. David Schaffer, Peter Huang, and Paul R. Chiarot


Journal of Magnetic Resonance Imaging (JMRI),2018

Y. Chen, W. Duan, P. Sehrawat, V. Chauhan, FJ. Alfaro, A. Gavrieli, X. Qiao, V. Novak, W. Dai


International Society for Magnetic Resonance in Medicine (ISMRM),2018

Weiying Dai, Mingzhao Chen, Li Zhao, Nicolas Bolo, David C. Alsop, and Keshavan Matcheri


International Society for Magnetic Resonance in Medicine (ISMRM),2018

Wenna Duan, Wen-Ming Luh, Mingzhao Chen, and Weiying Dai


International Society for Magnetic Resonance in Medicine (ISMRM),2018

Jason Barrett, Haomiao Meng, Song Chen, Li Zhao, David Alsop, Xingye Qiao, and Weiying Dai


British Journal of Developmental Psychology,2018

Alecia Moser, Sarah Olsen, Sylvia N. Rusnak, Rachel Barr, Peter Gerhardstein


Springer International Publishing AG: Switzerland,2018

Hipp, D & Gerhardstein, P


Journal of Southeastern Archaeology,2018

Dylan S. Davis, Matthew C. Sanger & Carl P. Lipo


Journal of Archaeological Science: Reports,2018

Dylan S. Davis, Matthew C. Sanger & Carl P. Lipo


Proceedings of the 26th ACM on Multimedia Conference, Pages 914-922,2018

Mengbai Xiao, Shuoqian Wang, Chao Zhou, Li Liu, Zhenhua Li, Yao Liu, and Songqing Chen


ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM),2018

Chao Zhou, Zhenhua Li, Joe Osgood, and Yao Liu


Proceedings of the IEEE International Conference on Computer Communications (INFOCOM),2018

Chao Zhou, Mengbai Xiao, and Yao Liu


Proceedings of the IEEE International Conference on Computer Communications (INFOCOM),2018

Mengbai Xiao, Chao Zhou, Viswanathan Swaminathan, Yao Liu, and Songqing Chen


Nature Communications volume 9, Article number: 4904,2018

Lizabeth C. Randall, Kristina B. Emdal, Janice K. Laramy, Minjee Kim, Alison Roos, David Calligaris, Michael S. Regan, Shiv K. Gupta, Ann C. Mladek, Brett L. Carlson, Aaron J. Johnson, Fake Lu, et. al.


International Journal of Computer Vision, 126(10):1103–1119,2018

Xi Peng, Rogerio S Feris, Xiaoyu Wang, and Dimitris N Metaxas


International Journal of Computer Vision, 126(2-4):184–197,2018

Xi Peng, Shaoting Zhang, Yang Yu, and Dimitris N Metaxas


Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2018

Xi Peng, Zhiqiang Tang, Fei Yang, Rogerio Feris, Dimitris Metaxas


IEEE International Conference on Automatic Face and Gesture Recognition (FG),2018

Rahil Mehrizi, Xi Peng, Zhiqiang Tang, Xu Xu, Dimitris Metaxas, Kang Li


In Advances in Neural Information Processing Systems (NeuralIPS),2018

Wang, W., & Qiao, X.


Statistical Analysis and Data Mining: The ASA Data Science Journal, 11(1), 17-31,2018

Lu, Q. and Qiao, X.


Journal of the American Statistical Association, 1:1–16,2018

Chong Zhang, Wenbo Wang, Xingye Qiao


In proceedings of the International Joint Conference on Artificial Intelligence (IJCAI),2018

Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone


In proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS),2018

Shih-Yun Lo, Shiqi Zhang, and Peter Stone


IEEE International Conference on Healthcare Informatics,2018

H. Lu, H. Wang, Q. Zhang, D. Won, and S. W. Yoon


IEEE International Conference on Healthcare Informatics,2018

Q. Zhang, H. Wang, H. Lu, D. Won, and S. W. Yoon


In Proceedings of Industrial and Systems Engineering Research Conference,2018

M. E. Khan, A. Choudhury, A. L. Friedman, and D. Won


In Proceedings of Industrial and Systems Engineering Research Conference,2018

M. Abdullar and D. Won


INFORMS Journal on Computing,2018

D. Won, H. Manzour, and W. A. Chaovalitwongse


Journal of the American Water Resources Association. Page:1-15,2018

Wu, Q., Lane, C.R., Wang, L., Vanderhoof, M.K., Christensen, J.R. & Liu, H.



IEEE Geoscience and Remote Sensing Letters, 15(8): 1279-1283,2018

Yu, B., Tang, M., Wu, Q., Yang, C., Deng, S., Shi, K., Peng, C., Wu, J., & Chen, Z.


Remote Sensing, 10(4): 580,2018

Berhane, T.M., Lane, C.R., Wu, Q., Autrey, B.C., Anenkhonov, O., Chepinoga, V., & Liu, H.


Remote Sensing, 10(1): 46,2018

Berhane, T.M., Lane, C.R., Wu, Q., Anenkhonov, O., Chepinoga, V., Autrey, B.C., & Liu, H.


International Journal of Geographical Information Science. 32(3): 450-475,2018

Wu, B., Yu, B., Wu, Q., Chen, Z., Yao, S., Huang, Y., & Wu, J.


IEEE International Conference on Computer Vision and Pattern Recognition (CVPR),2018

Huiyuan Yang, Umur Ciftci, Lijun Yin


13th IEEE International Conference on Automatic Face and Gesture Recognition (FG),2018

Huiyuan Yang, Zheng Zhang, and Lijun Yin


British Machine Vision Conference (BMVC),2018

Zheng Zhang, Shuangfei Zhai, Lijun Yin


IEEE Transactions on Pattern Analysis and Machine Intelligence,2018

Wei Li, Farnaz Abtahi, Zhigang Zhu, Lijun Yin


13th IEEE International Conference on Automatic Face and Gesture Recognition (FG),2018

Peng Liu, Idris Yazgan, Sarah T. Olsen, Alecia M. Moser, Umur A. Ciftci, Saeed Bajwa, Christian D. Tvetenstrand, Peter Gerhardstein, Omowunmi A Sadik, and Lijun Yin


Clinica Chimica Acta-International Journal of Clinical Chemistry and Diagnostic laboratory Medicine,2018

Omowunmi A Sadik, Idris Yazgan, Orhan Eroglu, Peng Liu, Sarah T. Olsen, Alecia M. Moser, Hakan Cengiz, Phillip G. Sander, Courage Tsiagbe, Kei Harada, Saeed Bajwa, Christian D. Tvetenstrand, Lijun Yin, and Peter Gerhardstein


ACM Conference on Pervasive and Ubiquitous Computing (UbiComp),2018

S. Canavan, M. Andujar, E. Schotter, Lijun Yin, and A. Nijholt


IEEE Transactions on Cybernetics,2018

Yunlong Yu, Zhong Ji, Jichang Guo, Zhongfei Zhang


IEEE Transactions on Knowledge and Data Engineering,2018

Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, and Zhongfei Zhang


IEEE Transactions on Knowledge and Data Engineering,2018

Jiangtao Yin, Lixin Gao, and Zhongfei Zhang


IEEE Transactions on Cybernetics, Volume 48, Number 10, Pages 2908-2929,2018

Yunlong Yu, Zhong Ji, Xi Li, Jichang Guo, Zhongfei Zhang, Haibin Ling, Fei Wu


Proc. 32nd Conference on Neural Information Processing Systems, (NeurIPS),2018

Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei (Mark) Zhang


Proc. ACM International Conference on Multimedia Retrieval (ICMR),2018

Zachary Seymour and Zhongfei (Mark) Zhang


Proc. ACM International Conference on Multimedia Retrieval (ICMR),2018

Zachary Seymour and Zhongfei (Mark) Zhang