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Research Interests
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My research focus on statistical learning and its application to information management. There are two main obstacles that prevent users from effectively accessing information: the language barrier when queries and documents are in different languages, and the media barrier when queries and documents are in different media formats. I am interested in designing and applying efficient machine learning algorithms to bridge these two barriers, with the emphasis on insufficient training data.
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Selected Services
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| Program committee member for:
SIGIR 2007
ICML 2007
NAACL-HLT 2007
CIKM 2007
PAKDD 2007
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Recent Publications
(More)
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--- Machine Learning ---
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Generalized Maximum Margin Clustering and Unsupervised Kernel Learning (
pdf )
H. Valizadegan and R. Jin
to appear in the Proceedings of the 20th Annual Conference on Neural
Information Processing Systems (NIPS
2006)Cancouver,Canada, December 4-7, 2006
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Correlated
Label Propagation with Application to Multi-label Learning (
pdf )
F. Kang, R. Jin
and R. Sukthankar 2006 IEEE Computer
Society Conference on Computer Vision and Pattern Recognition (CVPR
2006) New York, NY,USA, June 17-22, 2006
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Semi-supervised
Multi-label Learning by Constrained Non-negative Matrix Factorization (
pdf )
Y. Liu, R. Jin
and L. Yang Proceedings of The Twenty-First National
Conference on Artificial Intelligence (AAAI
2006) Boston, Massachusetts, USA, July 16-20, 2006
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An Efficient
Algorithm for Local Distance Metric Learning (pdf )
L. Yang, R. Jin
, R. Sukthankar and Yi Liu Proceedings of The
Twenty-First National Conference on Artificial Intelligence (AAAI
2006) Boston, Massachusetts, USA, July 16-20, 2006
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Batch Mode
Active Learning and Its Application to Medical Image Classification (pdf )
S. C. H. Hoi, R. Jin
,J. Zhu, and M. R. Lyu The 23th International Conference on
Machine Learning (ICML
2006)Pittsburgh, Pennsylvania,USA, June 25-29, 2006
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Large-scale
Text Categorization by Batch Mode Active Learning (pdf )
S. C. H. Hoi, R. Jin
and M. R. Lyu , Proceedings of the 15th International
Conference on World Wide Web (WWW
2006) Edinburgh, Scotland , May 23-26, 2006
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| --- Information Retrieval ---
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A Graph-based
Framework for Relation Propagation and Its Application to Multi-label Learning
/poster (pdf )
M. Wu and Jin, R.
The 29th Annual International ACM SIGIR Conference (
SIGIR 2006),Seattle, Washington,USA, August 6-11, 2006
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A Study of Mixture Models
for Collaborative Filtering
Jin,R. , L. Si and C. X. Zhai
Information Retrieval Journal 2006
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| --- Multimedia ---
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Collaborative Image Retrieval via Regularized Metric Learning (
pdf )
L. Si, Rong Jin
,S. C.H. Hoi and Michael R. Lyu ACM Multimedia Systems
Journal
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A Unified Log-Based Relevance Feedback Scheme for Image Retrieval( pdf )
S. C. H. Hoi, M. R. Lyu and Jin,
R. IEEE Transactions on Knowledge and Data Engineering
Journal (TKDE)
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--- Natural Language Processing ---
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Discourse Status for
Context Questions (
pdf )
J. Y. Chai and Jin, R.
HLT-NAACL 2004 Workshop on Pragmatics in Question Answering (HLT-NAACL
2004) Boston, MA, USA, May 3-7, 2004
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A new probabilistic model
for title generation
Jin, R. and Hauptmann, A. The
19th International Conference On Computational Linguistics (COLING
2002) Taipei, Taiwan, August 24 - September 1, 2002
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| --- Bioinformatics ---
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Identifying neuronal assemblies with local and global connectivity with scale
space spectral clustering (
pdf )
Karim Oweiss, Jin, R.and Yasir
Suhail Neurocomputing (2006)
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Assessing Temporal and Spatial Evolution of Clusters of Functionally
Interdependent Neurons using Graph Partitioning Techniques (
pdf )
K. Oweiss, Jin, R.
,Y. Suhail, and F. Chen Proceedings of the 28th IEEE
Engineering in Medicine and Biology(EMBC
2006) New York City, New York, USA, August 30-Sept. 3,
2006
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A Knowledge Driven
Regression Model for Gene Expression and Microarray Analysis
Jin, R.,L. Si, S. Srivastava,
Z. Li and C. Chan Proceedings of the 28th IEEE
Engineering in Medicine and Biology(EMBC
2006) New York City, New York, USA, August 30-Sept. 3,
2006
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Identifying Neuronal
Assemblies with Local and Global Connectivity with Spectral Clustering in Scale
Space
K. Oweiss, Jin, R.,
Y. Suhail, and F. Chen Proceedings of Computational
Neuroscience 2006 (CNS
2006)Edinburgh, UK, July 16-18, 2006
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Identifying Functionally Interdependent Neurons From Multielectrode Array
Recordings in Local and Global Network Contexts
K. Oweiss, Jin, R.,Y.
Suhail and F. Chen Proceedings of the
Substrate-integrated Microelectrode Arrays Workshop (NMI 2006)Reutlingen, Germany, July 4-7
2006
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A Mixture Model for Spike Train Ensemble Analysis Using Spectral Clustering(
pdf )
Jin, R. ,Y. Suhail, and K.
Oweiss Proceedings of the IEEE Int. Conf. Acoustics,
Speech & Signal Processing (ICASSP 2006) Toulouse, France,,May
15-19, 2006
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Scale Space Processing and Clustering for Efficient Multi-Electrode Data
Analysis of Large Neuronal Ensembles
K.Oweiss, Jin, R. and Y.
Suhail Proceedings of the 2nd IEEE-EMBS Conf. on
Neural Engineering(IEEE-EMBS
2005) Arlington, VA,USA, March 16-19 2005
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Teaching
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CSE847
Machine Learning (Spring 2007) Seminar in
Advanced Machine Learning (Fall 2006)
CSE484 Information Retrieval (Fall 2006) CSE847
Machine Learning (Spring 2006)
CSE484 Information Retrieval (Fall 2005) CSE847
Machine Learning (Spring 2005)
CSE491 Information Retrieval (Fall 2004) CSE847
Machine Learning (Spring 2004)
CSE260 Discrete Structure in Computer Science (Fall 2003)
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Contact Info
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Email:
rongjin_at_cse.msu.edu
URL:
http://www.cse.msu.edu/~rongjin
Office Phone: +1
(517) 353-7284
Fax:
+1 (517) 432-1061
Office Address: EB
1124 (MSU Campus Map)
Mailing Address:
Rong Jin
Department of Computer
Science and Engineering
3115 Engineering Building
Michigan State University
East Lansing, MI 48824
U.S.A
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