Dan Zhang - Citegraph

Author Info

Name	Affiliation	Papers
DAN ZHANG	Purdue University, West Lafayette, IN, USA	31
Collaborators	Citations	PageRank
23	461	22.17
Referers	Referees	References
1046	849	667

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Publications (31 rows)

Collaborators (23 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media	1	0.38	2014
A general framework for scalable transductive transfer learning.	4	0.69	2014
Learning To Hash With Partial Tags: Exploring Correlation Between Tags And Hashing Bits For Large Scale Image Retrieval	18	0.67	2014
MI2LS: multi-instance learning from multiple informationsources	18	0.65	2013
Semantic hashing using tags and topic modeling	23	0.85	2013
MILEAGE: Multiple Instance LEArning with Global Embedding.	7	0.47	2013
Weighted hashing for fast large scale similarity search	5	0.43	2013
A discriminative data-dependent mixture-model approach for multiple instance learning in image classification	9	0.52	2012
Sentiment detection with auxiliary data	4	0.40	2012
Multi-view transfer learning with a large margin approach	45	1.16	2011
Maximum margin multiple instance clustering with applications to image and text clustering.	14	0.59	2011
Composite hashing with multiple information sources	118	3.41	2011
Query Expansion and Message-Passing Algorithms for TREC Microblog Track.	7	0.49	2011
Multiple Instance Learning on Structured Data.	19	0.71	2011
Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning	15	0.70	2011
Serendipitous learning: learning beyond the predefined label space	6	0.46	2011
Transfer Latent Semantic Learning: Microblog Mining with Less Supervision.	7	0.47	2011
Document clustering with universum	10	0.50	2011
Interactive localized content based image retrieval with multiple-instance active learning	30	0.96	2010
ALPOS: A Machine Learning Approach for Analyzing Microblogging Data	3	0.36	2010
Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images	6	0.58	2009
M3IC: maximum margin multiple instance clustering	5	0.42	2009
Multiple Instance Transfer Learning	5	0.40	2009
Modeling search response time	0	0.34	2009
MACBSE: Extracting signals with linear autocorrelations	1	0.37	2008
Semi-Supervised Classification with Universum	24	1.36	2008
Multi-view local learning	13	0.74	2008
An experimental evaluation of ensemble methods for EEG signal classification	39	1.92	2007
Multi-Pitch Estimation Based on Partial Event and Support Transfer	0	0.34	2007
Localized content-based image retrieval using semi-supervised multiple instance learning	5	0.48	2007
A Fixed-Point Algorithm For Blind Separation Of Temporally Correlated Sources	0	0.34	2007