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[Bio] [News] [Press Coverage] [Funding] [Awards] [Research] [Publications] [Teaching] [Service] [SMILE Lab] |
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Yun Raymond
Fu GoogleCitation Founding Director of SMILE Lab Department
of ECE, College
of Engineering College of Computer
and Information Science (Affiliated) Ph: (617)
373-7328 Fax: (617) 373-8970 E-mail: yunfu AT ece Dot neu Dot edu |
Hiring
I
am continuously looking for excellent Ph.D. students,
PostDocs, Visiting Scholars, and Research
Associates to work on machine learning, data mining, computer vision, and social media analytics. Please send me your
CV if interested. |
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Research Interests: Machine
Learning and Computational Intelligence, Social Media Analytics,
Human-Computer Interaction, and Cyber-Physical Systems Education: Ph.D.
(ECE,
UIUC)
M.S. (STAT,
UIUC)
M.Eng. (PRIS,
XJTU)
B.Eng. (IE, XJTU) Membership: IEEE (senior
member), ACM
(life member), AAAI (life member), SPIE (life
member), INNS (member), IMS (life
member), Beckman Institute (Graduate
Fellow-07) Associate Editor: IEEE Transactions on Neural Networks and Leaning Systems
(TNNLS) (2013-), IEEE
Transactions on Circuits and Systems for Video Technology (TCSVT)
(2011-), Neurocomputing (2008-),
International Journal of Pattern Recognition and
Artificial Intelligence (IJPRAI) (2011-), Journal
of Multimedia (JMM) (2009-), Journal of Electronic Imaging (JEI)
(2014-). Best Paper Awards (5): [SIAM SDM 2014], [IEEE FG 2013], [IEEE ICDM LSVA Workshop 2011], [IAPR ICFHR 2010], [IEEE ICIP 2007]. Young Investigator Award (3): [2014 ONR Young Investigator], [2014 ARO Young Investigator], [2014 INNS Young Investigator]
News - 01/2015,
our SMILE Lab moved to the new home! - 01/2015,
PI, NPS, Pinpoint Geolocation
using Multi-Source Multi-Dimensional Big Data from Social Media, $450k, 9/15-9/17. - 01/2015,
We have 4 FG 2015 papers
accepted. - 01/2015,
Program Chair, CVPR-AMFG 2015.
Special Session Chair, ICMR-GMAR 2015. - 12/2014, We have 2 SIAM International Conference on Data Mining (SDM 2015) full papers accepted. -
11/2014, PI, Adobe, Gift donation, $9k. -
11/2014, My students Zhengming Ding, Kang Li, and Sheng Li received the ICDM 2014 NSF Student Travel Award.
Congratulations! - 10/2014, PI, MITLL, Multimedia Search and
Retrieval, $45k, 11/14-11/15. - 09/2014, PI, DHS, Video-Based
Re-Identification of Subjects, $60k, 9/14-9/15. - 09/2014, Co-PI, NIH, Multimodal Speech Translation for Assistive Communication, $489,200, 9/14-9/16 -
09/2014, We
have 2 ICDM 2014 Regular papers accepted (Acceptance
rate is 9.7%). Congratulations! -
09/2014, My students Chengcheng Jia,
Shuyang Wang, and Zhengming Ding received the ACM
MM 2014 Student Travel Award.
Congratulations! -
09/2014, We
have 1 IEEE Transactions on KDE
paper accepted for 2014 publishing. -
09/2014, I accepted the invitation
to serve as Associate Editor of Journal of Electronic Imaging (JEI). -
08/2014, I am elected as the Chair of IEEE Boston Computational Intelligence Chapter (CIS011). -
08/2014, Co-PI, NSF, Wireless
Sensing of Speech Kinematics and Acoustics for Remediation, $150k,
9/14-9/16 -
07/2014, We
have 1 Full (Long) ACM MM 2014 paper and
1 short paper accepted. - 07/2014,
Our ICME2014 paper was selected as one of the 4 ICME2014 Best Paper Award candidates (4 out of 716 submissions). -
06/2014, We
have 1 ECCV 2014 paper and 2
ECCV14-workshop papers accepted. -
06/2014, PI, I received the 2014 DOD
DURIP Award from the Department
of Defense (DOD). $240k,
6/14-6/15. - 05/2014,
PI, NSF, Research Experiences for
Undergraduates (REU) Award, $16k, 6/14-12/15. - 05/2014,
We have 1 IEEE Transactions on CSVT paper accepted for 2014 publishing. - 04/2014,
PI, I received the 2014 ARO Young Investigator Award from
the Army Research
Office (ARO). $150k,
5/14-5/17. - 04/2014, We received the 2014 SDM Best Paper Award from SIAM SDM. Only 1 out of 384 submissions. My 5th Best Paper Award! -
04/2014, PI, I received the 2014 ONR
Young Investigator Award from the Office
of Naval Research (ONR). $510k,
6/14-6/17. - 04/2014,
Publicity Chair, IJCNN 2015. - 04/2014,
We have 2 AAAI 2014 papers
accepted. Congratulations! - 03/2014,
We have 3 ICME
2014 papers accepted. - 03/2014,
My student Sheng Li received the SDM2014 Student Travel Award. - 03/2014,
My students Shuhui Jiang
and Hongfu Liu received the prestigious Dean's Fellowship, NEU CoE. - 03/2014, Program Chair, ECCV-VECTaR 2014. Program Committee, CVPR-VSM 2014. - 02/2014,
News@Northeastern, Face Value. - 02/2014,
We have 1 Image and
Vision Computing (IVC) Journal
paper and 2 IJCNN 2014 papers
accepted. - 01/2014,
Adjunct Professor (honorable
recognition), Xi'an Jiaotong University, China,
2014-2019. - 01/2014,
We have 1 IEEE Transactions on PAMI paper accepted for 2014 publishing. - 01/2014,
PI, Samsung, Visual Recognition,
$160k, 1/14-1/15. - 12/2013, We have 1 SIAM International Conference on Data Mining (SDM 2014) full paper accepted for 2014 publishing. - 12/2013,
We have 1 IEEE Transactions on PAMI paper and 1 IJCV
paper accepted for 2014 publishing. - 11/2013,
I received the 2014 INNS
Young Investigator Award from the International Neural Networks Society (INNS). - 11/2013,
We have 1 IEEE Transactions on CSVT paper accepted for 2014 publishing. - 10/2013,
I have a new book with Springer on Low-Rank
and Sparse Modeling for Visual Analysis for 2014 publishing. - 09/2013,
Our FG 2013 paper by Sheng
Li, Liangyue Li, and Yun Fu received the Best Student Paper Honorable Mention
Award. -
08/2013, We have 2 ICCV 2013 papers
accepted. -
07/2013, Program Chair, ICCV-VECTaR 2013. Program Committee, ICCV-LSVisCom 2013 and ICCV-LSVSM
2013. -
07/2013, I
accepted the invitation to serve as Area
Chair of FG 2015. -
06/2013, We have 1 Full (Long) ACM MM 2013 paper
accepted. -
06/2013, I
accepted the invitation to serve as Associate
Editor of IEEE Transactions on Neural Networks and Leaning Systems (TNNLS). -
05/2013, I received the travel grant from IJCAI 2013. -
04/2013, PI, ARO, Manifold Learning for 3D
Shape Description and Classification, $50k, 9/13-7/14. -
04/2013, We have 1 IJCAI 2013 paper, 1 AAAI 2013 paper and 1
T-IFS paper accepted. -
03/2013, PI, Northeastern University Tier 1
Program, $50k, 7/13-6/14. -
03/2013, I
received the 2012 TCSVT Best Associate
Editor (BAE) Award. -
03/2013, Program Chair, CVPR-AMFG 2013, CVPR-MV 2013, ICMLA 2013, ICCCN-MCC 2013. -
03/2013, Our FG
paper is selected to a special issue of the Image and Vision Computing
Journal on "The Best of Face and
Gesture 2013". -
03/2013, My student Handong Zhao received
the prestigious Dean's Fellowship,
NEU CoE. -
02/2013, PI, Technion-Northeastern
University Research Partnership, $90k, 2/13-2/14. -
11/2012, We have 5 FG 2013 papers
accepted including 1 oral presentation. -
09/2012, Press
coverage: Data mining in the social-media and 3Qs: Facial recognition is the new fingerprint. -
09/2012, Founding Director of the Synergetic
Media Learning (SMILE) Lab at
Northeastern University. [More..] Books
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Courses - Fall 2015, EECE 5698 - Introduction to Visualization [CourseWeb] - Spring 2015, EECE 3464 - Linear Systems [CourseWeb] - Fall 2014, EECE 5698 - Introduction to Visualization [CourseWeb] - Spring 2014, CS 5320 - Digital Image Processing [CourseWeb] - Fall 2013, EECE 5698 - Introduction to Visualization [CourseWeb] - Spring 2013, EECE 3464 - Linear Systems [CourseWeb] - Spring 2013, EECE 2411 - Introduction to ECE Lab [ CourseWeb ] Recent Publications [Full-List] [B-01] Yun Fu, Low-Rank and Sparse Modeling for Visual Analysis, Springer, 2014 (in
press) [B-02]
Yuan Yao, Fan Zhang, and Yun Fu, Realtime
Hand-Gesture Recognition Using RGB-D Sensor, in Computer Vision and Machine Learning with RGB-D Sensors, L. Shao,
J. Han, P. Kohli, and Z. Zhang (Eds.), Springer-Verlag, 2014. (in
press) [B-03]
Yun Fu, Human-Centered Social Media Analytics, Springer, 2014 (in press) [B-04] Yun Fu and Yunqian Ma, Graph Embedding for Pattern
Classification, Springer, 2013 [B-05] Haomian Zheng,
Zhu Li, Yun Fu, Aggelos K.Katsaggelos, and Jane You, Video Activity
Recognition by Luminance Differential Trajectory and Aligned Projection
Distance, volume 31, Handbook of Statistics, C.R.Rao and Venu Govindaraju
(Eds.), 2013 [J-01]
Sheng Li and Yun Fu, Learning Balanced and Unbalanced Graphs via
Low-Rank Coding, IEEE Transactions on
Knowledge and Data Engineering (T-KDE), Volume:, Issue:, Page(s):, 2014. [J-02]
Kang Li and Yun Fu, Prediction of Human Activity by Discovering
Temporal Sequence Patterns, IEEE Transactions
on Pattern Analysis and Machine Intelligence (T-PAMI), Volume: 36,
Issue: 8, Page(s): 1644-1657, 2014. [J-03]
Yu Kong, Yunde Jia
and Yun Fu, Interactive Phrases: Semantic Descriptions for Human
Interaction Recognition, IEEE
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI),
Volume: 36, Issue: 9, Page(s): 1775-1788, 2014. [J-04]
Ming Shao, Dmitry Kit, and Yun Fu, Generalized Transfer Subspace Learning through Low-Rank Constraint, International Journal of Computer Vision
(IJCV), Volume: 109, Issue: 1-2, Page(s): 74-93, 2014. [J-05]
Ya Su, Sheng Li,
Shengjin Wang, and Yun Fu, Submanifold Decomposition, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT),
Volume:, Issue:, Page(s):, 2014. [J-06]
Yuan Yao and Yun Fu, Contour Model based Hand-Gesture
Recognition Using Kinect Sensor, IEEE
Transactions on Circuits and Systems for Video Technology (T-CSVT),
Volume:, Issue:, Page(s):, 2014. [J-07]
Liangyue Li, Sheng Li and Yun Fu, Learning Low-Rank
and Discriminative Dictionary for Image Classification, Image and Vision
Computing (IVC), 2014. (Accepted, invited for special issue on The
Best of Face and Gesture 2013) [J-08] Xu Zhao, Xiong
Li, Zhe Wu, Yun Fu, and Yuncai
Liu, Multiple Subcategories Parts-Based Representation for One Sample Face
Identification, IEEE Transactions on
Information Forensics and Security (T-IFS), Volume: 8, Issue: 10, Page(s):
1654-1664, 2013. [C-01]
Sheng Li, Ming Shao, and Yun Fu, Multi-view Low-Rank Analysis for Outlier Detection, SIAM
International Conference on Data Mining (SDM),
2015 [C-02]
Hongfu Liu, Junjie
Wu, Dacheng Tao, Yuchao
Zhang and Yun Fu, DIAS: A Disassemble-Assemble
Framework for Highly Sparse Text Clustering, SIAM International Conference on
Data Mining (SDM), 2015 [C-03]
Yu Kong, Behnam Sattar, and Yun Fu,
Hierarchical 3D Kernel Descriptors for Action Recognition Using Depth
Sequences, IEEE Conference on Automatic Face and Gesture Recognition (FG), 2015 [C-04]
Handong Zhao, Zhengming
Ding, and Yun Fu, Block-wise
Constrained Sparse Graph for Face Image Representation, IEEE Conference on
Automatic Face and Gesture Recognition (FG),
2015 [C-05]
Zhengming Ding , Sungjoo
Suh , Jae-Joon Han , Changkyu
Choi, and Yun Fu, Discriminative
Low-Rank Metric Learning for Face Recognition, IEEE Conference on Automatic
Face and Gesture Recognition (FG),
2015 [C-06]
Ming Shao, Zhengming Ding,
and Yun Fu, Sparse Low-Rank Fusion
based Deep Features for Missing Modality Face Recognition, IEEE Conference on
Automatic Face and Gesture Recognition (FG),
2015 [C-07]
Chengcheng Jia,
Guoqiang Zhong, and Yun Fu, Low-Rank Tensor Completion
with Discriminant Analysis for Action Classification, Twenty-Eighth AAAI
Conference on Artificial Intelligence (AAAI),
2014 (Oral Presentation) [C-08]
Zhengming Ding, Ming Shao, and Yun Fu, Latent Low-Rank
Bi-Directional Transfer Subspace Learning, Twenty-Eighth AAAI Conference on
Artificial Intelligence (AAAI),
2014 [C-09]
Sheng Li and Yun
Fu, Robust Subspace Discovery through Supervised Low-Rank Constraints,
SIAM International Conference on Data Mining (SDM), 2014 (Oral
Presentation [Best Paper Award] 1 out of 384) [C-10]
Zhengming Ding
and Yun Fu, Low-Rank Common Subspace for Multi-view Learning, IEEE
International Conference on Data Mining (ICDM), 2014 [Regular paper,
acceptance rate 9.7%] [C-11] Kang
Li, Sheng Li, and Yun Fu, Early Classification of Ongoing Observation,
IEEE International Conference on Data Mining (ICDM), 2014 [Regular paper,
acceptance rate 9.7%] [C-12]
Yu Kong, Dmitry Kit, and Yun Fu, A Discriminative Model with Multiple Temporal Scales for
Action Prediction, European Conference on Computer Vision (ECCV), 2014 [C-13]
Yu Kong and Yun
Fu, Modeling Supporting Regions for Close Human Interaction Recognition,
European Conference on Computer Vision (ECCV)
Workshop, 2014 [C-14]
Chengcheng Jia
and Yun Fu, Mode-Driven Volume
Analysis based on Correlation of Time Series, European Conference on Computer
Vision (ECCV) Workshop, 2014 [C-15]
Chengcheng Jia,
Yu Kong, Zhengming Ding and Yun Fu, Latent Tensor Transfer Learning for RGB-D Action
Recognition, ACM Multimedia (MM),
2014 [Full Paper] [C-16]
Shuyang Wang, Ming Shao and Yun Fu, Attractive or Not? Beauty
Prediction with Attractiveness-Aware Encoders and Robust Late Fusion, ACM
Multimedia (MM), 2014 [C-17]
Sheng Li, Ming Shao and Yun Fu, Locality Linear Fitting One-class SVM with Low-Rank
Constraints for Outlier Detection, International Joint Conference on Neural
Networks (IJCNN), 2014 [C-18]
Dmitry Kit, Yu Kong and Yun Fu, Location Aware Self-Organizing Map for Discovering
Similar and Unique Visual Features of Geographical Locations, International
Joint Conference on Neural Networks (IJCNN),
2014 [C-19]
Ming Shao, Sheng Li, Tongliang
Liu, Dacheng Tao, Thomas S. Huang, and Yun Fu,
LEARNING RELATIVE FEATURES THROUGH ADAPTIVE POOLING FOR IMAGE CLASSIFICATION,
IEEE International Conference
on Multimedia and Expo (ICME),
2014 (Oral Presentation [Best Paper
Award Candidate] 4 out of 716) [C-20]
Shuyang Wang, Jinzheng
Sha, Huaiyu Wu, and Yun
Fu, HIERARCHICAL FACIAL EXPRESSION ANIMATION BY MOTION CAPTURE DATA,
IEEE International Conference
on Multimedia and Expo (ICME),
2014 [C-21]
Mohammad Soleymani, Sadjad Asghari-Esfeden, Maja Pantic, and Yun Fu, CONTINUOUS EMOTION DETECTION USING
EEG SIGNALS AND FACIAL EXPRESSIONS, IEEE International Conference on Multimedia and
Expo (ICME), 2014(Oral Presentation) [C-22]
Sheng Li and Yun
Fu, Low-Rank Coding with b-Matching Constraint for Semi-supervised
Classification, International Joint Conference on Artificial Intelligence (IJCAI), 2013 [C-23]
Ming Shao, Liangyue Li,
and Yun Fu, Predicting Professions
through Probabilistic Model under Social Context, Twenty-Seventh AAAI
Conference on Artificial Intelligence (AAAI),
2013 [C-24]
Ming Shao, Liangyue Li,
and Yun Fu, What Do You Do?
Recognize Occupations in a Photo via Social Context, International Conference
on Computer Vision (ICCV), 2013 [C-26]
Xu Zhao, Yuncai Liu and Yun Fu, Exploring Discriminative Pose
Sub-Patterns for Effective Action Classification, ACM Multimedia(MM), 2013 [Full Paper] [C-27]
Liangyue Li, Sheng Li, and Yun Fu, Discriminative Dictionary
Learning with Low-Rank Regularization for Face Recognition, IEEE Conference
on Automatic Face and Gesture Recognition (FG), 2013 (Oral
Presentation, [Best Student Paper Honorable Mention
Award] Image
and Vision Computing Journal special issue on "The Best of Face and Gesture 2013") [C-28]
Ming Shao and Yun
Fu, Hierarchical Hyperlingual-Words for
Multi-Modality Face Classification, IEEE Conference on Automatic Face and
Gesture Recognition (FG), 2013 [C-29]
Mingbo Ma, Ming Shao, Xu Zhao, and Yun Fu, Prototype Based Feature
Learning for Face Image Set Classification, IEEE Conference on Automatic Face
and Gesture Recognition (FG), 2013 [C-30]
Gaurav Srivastava, Ming Shao, and Yun Fu, Low-Rank Embedding for Semisupervised Face Classification, IEEE Conference on
Automatic Face and Gesture Recognition (FG),
2013 [C-31]
Jie Hu, Yu Kong, and Yun Fu, Behavior Recognition by Learning Structural and Pairwise
Mid-level Features Using Random Forest, IEEE Conference on Automatic Face and
Gesture Recognition (FG), 2013 Acknowledgements
of Support
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Last Update: 9-11-2013, Copyright 2004~2014, Raymond Fu, All Rights Reserved |
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