| 2008 |
|---|
| 98 | | Steven C. H. Hoi,
Rong Jin:
Semi-Supervised Ensemble Ranking.
AAAI 2008: 634-639 |
| 97 | | Yang Zhou,
Zheng Li,
Xuerui Yang,
Linxia Zhang,
Shireesh Srivastava,
Rong Jin,
Christina Chan:
Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network.
AAAI 2008: 811-816 |
| 96 | EE | Jinfeng Zhuang,
Steven C. H. Hoi,
Aixin Sun,
Rong Jin:
Representative entry selection for profiling blogs.
CIKM 2008: 1387-1388 |
| 95 | EE | Zenglin Xu,
Rong Jin,
Kaizhu Huang,
Michael R. Lyu,
Irwin King:
Semi-supervised text categorization by active search.
CIKM 2008: 1517-1518 |
| 94 | EE | Jung-Eun Lee,
Rong Jin,
Anil K. Jain:
Rank-based distance metric learning: An application to image retrieval.
CVPR 2008 |
| 93 | EE | Steven C. H. Hoi,
Rong Jin,
Jianke Zhu,
Michael R. Lyu:
Semi-supervised SVM batch mode active learning for image retrieval.
CVPR 2008 |
| 92 | EE | Liu Yang,
Rong Jin,
Rahul Sukthankar,
Frédéric Jurie:
Unifying discriminative visual codebook generation with classifier training for object category recognition.
CVPR 2008 |
| 91 | EE | Hamed Valizadegan,
Rong Jin,
Anil K. Jain:
Semi-Supervised Boosting for Multi-Class Classification.
ECML/PKDD (2) 2008: 522-537 |
| 90 | EE | Steven C. H. Hoi,
Rong Jin:
Active kernel learning.
ICML 2008: 400-407 |
| 89 | EE | Pavan Kumar Mallapragada,
Rong Jin,
Anil K. Jain:
Active query selection for semi-supervised clustering.
ICPR 2008: 1-4 |
| 88 | EE | Zenglin Xu,
Rong Jin,
Irwin King,
Michael R. Lyu:
An Extended Level Method for Efficient Multiple Kernel Learning.
NIPS 2008: 1825-1832 |
| 87 | EE | Liu Yang,
Rong Jin,
Rahul Sukthankar:
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization.
NIPS 2008: 1857-1864 |
| 86 | EE | Shuiwang Ji,
Liang Sun,
Rong Jin,
Jieping Ye:
Multi-label Multiple Kernel Learning.
NIPS 2008: 777-784 |
| 85 | EE | Rong Jin,
Hamed Valizadegan,
Hang Li:
Ranking refinement and its application to information retrieval.
WWW 2008: 397-406 |
| 84 | EE | Shuiwang Ji,
Liang Sun,
Rong Jin,
Sudhir Kumar,
Jieping Ye:
Automated annotation of Drosophila gene expression patterns using a controlled vocabulary.
Bioinformatics 24(17): 1881-1888 (2008) |
| 83 | EE | Rong Jin,
Luo Si,
Christina Chan:
A Bayesian framework for knowledge driven regression model in micro-array data analysis.
IJDMB 2(3): 250-267 (2008) |
| 2007 |
|---|
| 82 | | Feilong Chen,
Rong Jin:
Active Algorithm Selection.
AAAI 2007: 534-539 |
| 81 | | Wei Tong,
Rong Jin:
Semi-Supervised Learning by Mixed Label Propagation.
AAAI 2007: 651-656 |
| 80 | EE | Yi Liu,
Joyce Yue Chai,
Rong Jin:
Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems.
ACL 2007 |
| 79 | EE | Liu Yang,
Rong Jin,
Caroline Pantofaru,
Rahul Sukthankar:
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data.
CVPR 2007 |
| 78 | EE | Rong Jin,
Ming Wu,
Rahul Sukthankar:
Semi-supervised Collaborative Text Classification.
ECML 2007: 600-607 |
| 77 | EE | Steven C. H. Hoi,
Rong Jin,
Michael R. Lyu:
Learning nonparametric kernel matrices from pairwise constraints.
ICML 2007: 361-368 |
| 76 | EE | Weiming Wang,
Ligang Dong,
Bin Zhuge,
Ming Gao,
Fenggen Jia,
Rong Jin,
Jin Yu,
Xiaochun Wu:
Design and Implementation of an Open Programmable Router Compliant to IETF ForCES Specifications.
ICN 2007: 82 |
| 75 | EE | Chris H. Q. Ding,
Rong Jin,
Tao Li,
Horst D. Simon:
A learning framework using Green's function and kernel regularization with application to recommender system.
KDD 2007: 260-269 |
| 74 | EE | Yi Liu,
Rong Jin,
Anil K. Jain:
BoostCluster: boosting clustering by pairwise constraints.
KDD 2007: 450-459 |
| 73 | EE | Zenglin Xu,
Rong Jin,
Jianke Zhu,
Irwin King,
Michael R. Lyu:
Efficient Convex Relaxation for Transductive Support Vector Machine.
NIPS 2007 |
| 72 | EE | Anil K. Jain,
Jung-Eun Lee,
Rong Jin:
Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification.
PCM 2007: 256-265 |
| 71 | | Feng Kang,
Rong Jin,
Steven C. H. Hoi:
Similarity Beyond Distance Measurement.
RIAO 2007 |
| 70 | EE | Haibin Cheng,
Pang-Ning Tan,
Rong Jin:
Localized Support Vector Machine and Its Efficient Algorithm.
SDM 2007 |
| 69 | EE | Chen Zhang,
Matthew Gerber,
Tyler Baldwin,
Steve Emelander,
Joyce Yue Chai,
Rong Jin:
Michigan State University at the 2007 TREC ciQA Task.
TREC 2007 |
| 68 | EE | Joyce Y. Chai,
Chen Zhang,
Rong Jin:
An empirical investigation of user term feedback in text-based targeted image search.
ACM Trans. Inf. Syst. 25(1): (2007) |
| 67 | EE | Rong Jin,
Jian Zhang:
Multi-Class Learning by Smoothed Boosting.
Machine Learning 67(3): 207-227 (2007) |
| 66 | EE | Karim G. Oweiss,
Rong Jin,
Yasir Suhail:
Identifying neuronal assemblies with local and global connectivity with scale space spectral clustering.
Neurocomputing 70(10-12): 1728-1734 (2007) |
| 2006 |
|---|
| 65 | | Liu Yang,
Rong Jin,
Rahul Sukthankar,
Yi Liu:
An Efficient Algorithm for Local Distance Metric Learning.
AAAI 2006 |
| 64 | | Yi Liu,
Rong Jin,
Liu Yang:
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization.
AAAI 2006 |
| 63 | EE | Feng Kang,
Rong Jin,
Rahul Sukthankar:
Correlated Label Propagation with Application to Multi-label Learning.
CVPR (2) 2006: 1719-1726 |
| 62 | EE | Steven C. H. Hoi,
Rong Jin,
Jianke Zhu,
Michael R. Lyu:
Batch mode active learning and its application to medical image classification.
ICML 2006: 417-424 |
| 61 | EE | Hamed Valizadegan,
Rong Jin:
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning.
NIPS 2006: 1417-1424 |
| 60 | EE | Ming Wu,
Rong Jin:
A graph-based framework for relation propagation and its application to multi-label learning.
SIGIR 2006: 717-718 |
| 59 | EE | Steven C. H. Hoi,
Rong Jin,
Michael R. Lyu:
Large-scale text categorization by batch mode active learning.
WWW 2006: 633-642 |
| 58 | EE | Yi Liu,
Rong Jin,
Joyce Y. Chai:
A statistical framework for query translation disambiguation.
ACM Trans. Asian Lang. Inf. Process. 5(4): 360-387 (2006) |
| 57 | EE | Steven C. H. Hoi,
Michael R. Lyu,
Rong Jin:
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval.
IEEE Trans. Knowl. Data Eng. 18(4): 509-524 (2006) |
| 56 | EE | Rong Jin,
Luo Si,
Chengxiang Zhai:
A study of mixture models for collaborative filtering.
Inf. Retr. 9(3): 357-382 (2006) |
| 55 | EE | Luo Si,
Rong Jin,
Steven C. H. Hoi,
Michael R. Lyu:
Collaborative image retrieval via regularized metric learning.
Multimedia Syst. 12(1): 34-44 (2006) |
| 2005 |
|---|
| 54 | | Yi Liu,
Rong Jin:
Query Translation Disambiguation as Graph Partitioning.
AAAI 2005: 1424-1429 |
| 53 | EE | Wang Chen,
Xiao Li,
Rong Jin:
Sensor Localization in an Obstructed Environment.
DCOSS 2005: 49-62 |
| 52 | EE | Steven C. H. Hoi,
Michael R. Lyu,
Rong Jin:
Integrating User Feedback Log into Relevance Feedback by Coupled SVM for Content-Based Image Retrieval.
ICDE Workshops 2005: 1177 |
| 51 | EE | Rong Jin,
Joyce Y. Chai,
Luo Si:
Learn to weight terms in information retrieval using category information.
ICML 2005: 353-360 |
| 50 | EE | Rong Jin,
Jian Zhang:
A smoothed boosting algorithm using probabilistic output codes.
ICML 2005: 361-368 |
| 49 | EE | Rong Jin,
Huan Liu:
Learning with Labeled Sessions.
IJCAI 2005: 740-745 |
| 48 | EE | Rong Jin,
Huan Liu:
A Novel Approach to Model Generation for Heterogeneous Data Classification.
IJCAI 2005: 746-751 |
| 47 | EE | Joyce Y. Chai,
Zahar Prasov,
Joseph Blaim,
Rong Jin:
Linguistic theories in efficient multimodal reference resolution: an empirical investigation.
IUI 2005: 43-50 |
| 46 | EE | Rong Jin,
Chris H. Q. Ding,
Feng Kang:
A Probabilistic Approach for Optimizing Spectral Clustering.
NIPS 2005 |
| 45 | EE | Rong Jin,
Yi Liu:
A Framework for Incorporating Class Priors into Discriminative Classification.
PAKDD 2005: 568-577 |
| 44 | EE | Luo Si,
Rong Jin:
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis.
PAKDD 2005: 622-631 |
| 43 | | Feng Kang,
Rong Jin:
Symmetric Statistical Translation Models for Automatic Image Annotation.
SDM 2005 |
| 42 | EE | Chen Zhang,
Joyce Y. Chai,
Rong Jin:
User term feedback in interactive text-based image retrieval.
SIGIR 2005: 51-58 |
| 41 | EE | Yi Liu,
Rong Jin,
Joyce Y. Chai:
A maximum coherence model for dictionary-based cross-language information retrieval.
SIGIR 2005: 536-543 |
| 40 | EE | Rong Jin,
Joyce Y. Chai:
Study of cross lingual information retrieval using on-line translation systems.
SIGIR 2005: 619-620 |
| 2004 |
|---|
| 39 | EE | Rong Jin,
Joyce Y. Chai,
Luo Si:
Effective automatic image annotation via a coherent language model and active learning.
ACM Multimedia 2004: 892-899 |
| 38 | EE | Luo Si,
Rong Jin:
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model.
CIKM 2004: 156-157 |
| 37 | EE | Feng Kang,
Rong Jin,
Joyce Y. Chai:
Regularizing translation models for better automatic image annotation.
CIKM 2004: 350-359 |
| 36 | EE | Vineet Bansal,
Chen Zhang,
Joyce Y. Chai,
Rong Jin:
MSU at ImageCLEF: Cross Language and Interactive Image Retrieval.
CLEF 2004: 805-815 |
| 35 | EE | Rong Jin,
Huan Liu:
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.
ECML 2004: 560-562 |
| 34 | EE | Rong Jin,
Huan Liu:
Robust feature induction for support vector machines.
ICML 2004 |
| 33 | EE | Pang-Ning Tan,
Rong Jin:
Ordering patterns by combining opinions from multiple sources.
KDD 2004: 695-700 |
| 32 | EE | Rong Jin,
Joyce Y. Chai,
Luo Si:
An automatic weighting scheme for collaborative filtering.
SIGIR 2004: 337-344 |
| 31 | EE | Rong Jin,
Luo Si:
A study of methods for normalizing user ratings in collaborative filtering.
SIGIR 2004: 568-569 |
| 30 | EE | Rong Jin,
Luo Si:
A Bayesian Approach toward Active Learning for Collaborative Filtering.
UAI 2004: 278-285 |
| 2003 |
|---|
| 29 | EE | Rong Yan,
Alexander G. Hauptmann,
Rong Jin:
Negative pseudo-relevance feedback in content-based video retrieval.
ACM Multimedia 2003: 343-346 |
| 28 | EE | Rong Jin,
Luo Si,
ChengXiang Zhai,
James P. Callan:
Collaborative filtering with decoupled models for preferences and ratings.
CIKM 2003: 309-316 |
| 27 | EE | Rong Yan,
Alexander G. Hauptmann,
Rong Jin:
Multimedia Search with Pseudo-relevance Feedback.
CIVR 2003: 238-247 |
| 26 | EE | Rong Jin,
ChengXiang Zhai,
Alexander G. Hauptmann:
Information retrieval for OCR documents: a content-based probabilistic correction model.
DRR 2003: 128-135 |
| 25 | EE | Yan Liu,
Jaime G. Carbonell,
Rong Jin:
A New Pairwise Ensemble Approach for Text Classification.
ECML 2003: 277-288 |
| 24 | | Rong Jin,
Rong Yan,
Jian Zhang,
Alexander G. Hauptmann:
A Faster Iterative Scaling Algorithm for Conditional Exponential Model.
ICML 2003: 282-289 |
| 23 | | Luo Si,
Rong Jin:
Flexible Mixture Model for Collaborative Filtering.
ICML 2003: 704-711 |
| 22 | | Jian Zhang,
Rong Jin,
Yiming Yang,
Alexander G. Hauptmann:
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization.
ICML 2003: 888-895 |
| 21 | | Rong Jin,
Luo Si,
ChengXiang Zhai:
Preference-based Graphic Models for Collaborative Filtering.
UAI 2003: 329-336 |
| 20 | EE | Wei-Hao Lin,
Rong Jin,
Alexander G. Hauptmann:
Web Image Retrieval Re-Ranking with Relevance Model.
Web Intelligence 2003: 242-248 |
| 19 | EE | Rong Jin:
Statistical approaches toward automatic title generation.
SIGIR Forum 37(2): 79 (2003) |
| 2002 |
|---|
| 18 | EE | Luo Si,
Rong Jin,
James P. Callan,
Paul Ogilvie:
A language modeling framework for resource selection and results merging.
CIKM 2002: 391-397 |
| 17 | EE | Rong Jin,
Alexander G. Hauptmann:
A New Probabilistic Model for Title Generation.
COLING 2002 |
| 16 | | Rong Jin,
Alexander G. Hauptmann:
Using a probabilistic source model for comparing images.
ICIP (3) 2002: 941-944 |
| 15 | EE | Rong Jin,
Yanjun Qi,
Alexander G. Hauptmann:
A Probabilistic Model for Camera Zoom Detection.
ICPR (3) 2002: 859-862 |
| 14 | EE | Alexander G. Hauptmann,
Rong Jin,
Tobun D. Ng:
Multi-modal information retrieval from broadcast video using OCR and speech recognition.
JCDL 2002: 160-161 |
| 13 | | Wei-Hao Lin,
Rong Jin,
Alexander G. Hauptmann:
Meta-Classification of Multimedia Classifiers.
KDMCD 2002: 21-27 |
| 12 | EE | Rong Jin,
Zoubin Ghahramani:
Learning with Multiple Labels.
NIPS 2002: 897-904 |
| 11 | EE | Rong Jin,
Luo Si,
Alexander G. Hauptmann,
James P. Callan:
Language model for IR using collection information.
SIGIR 2002: 419-420 |
| 10 | EE | Rong Jin,
Alexander G. Hauptmann,
ChengXiang Zhai:
Title language model for information retrieval.
SIGIR 2002: 42-48 |
| 9 | EE | Alexander G. Hauptmann,
Rong Yan,
Yanjun Qi,
Rong Jin,
Michael G. Christel,
Mark Derthick,
Ming-yu Chen,
Robert V. Baron,
Wei-Hao Lin,
Tobun D. Ng:
Video Classification and Retrieval with the Informedia Digital Video Library System.
TREC 2002 |
| 2001 |
|---|
| 8 | EE | Rong Jin,
Alexander G. Hauptmann:
Title Generation Using a Training Corpus.
CICLing 2001: 208-215 |
| 7 | | Rong Jin,
Alexander G. Hauptmann:
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval.
ICML 2001: 242-249 |
| 6 | | Rong Jin,
Alexander G. Hauptmann:
Title Generation for Machine-Translated Documents.
IJCAI 2001: 1229-1234 |
| 5 | | Susan T. Dumais,
Rong Jin:
Probabilistic Combination of Content and Links.
SIGIR 2001: 402-403 |
| 4 | | Rong Jin,
Christos Falusos,
Alexander G. Hauptmann:
Meta-scoring: Automatically Evaluating Term Weighting Schemes in IR without Precision-Recall.
SIGIR 2001: 83-89 |
| 3 | EE | Alexander G. Hauptmann,
Rong Jin,
Norman Papernick,
Tobun Dorbin Ng,
Yanjun Qi,
Ricky Houghton,
Sue Thornton:
Video Retrieval with the Informedia Digital Video Library System.
TREC 2001 |
| 2000 |
|---|
| 2 | EE | Alexander G. Hauptmann,
Rong Jin,
Howard D. Wactlar:
Data Analysis for a Multimedia Library.
ELSNET Summer School 2000: 6-37 |
| 1999 |
|---|
| 1 | EE | M. Siegler,
Rong Jin,
Alexander G. Hauptmann:
CMU Spoken Document Retrieval in Trec-8: Analysis of the role of Term Frequency TF.
TREC 1999 |
