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| 2012 | ||
|---|---|---|
| 169 | Tianbao Yang, Rong Jin, Mehrdad Mahdavi, Shenghuo Zhu: An Efficient Primal-Dual Prox Method for Non-Smooth Optimization CoRR abs/1201.5283: (2012) | |
| 168 | Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu: Robust Metric Learning by Smooth Optimization CoRR abs/1203.3461: (2012) | |
| 167 | Mehrdad Mahdavi, Tianbao Yang, Rong Jin: Efficient Constrained Regret Minimization CoRR abs/1205.2265: (2012) | |
| 166 | Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu: A Bayesian Framework for Community Detection Integrating Content and Link CoRR abs/1205.2603: (2012) | |
| 165 | Anil K. Jain, Rong Jin, Jung-Eun Lee: Tattoo Image Matching and Retrieval. IEEE Computer 45(5): 93-96 (2012) | |
| 164 | Jung-Eun Lee, Rong Jin, Anil K. Jain, Wei Tong: Image Retrieval in Forensics: Tattoo Image Database Application. IEEE MultiMedia 19(1): 40-49 (2012) | |
| 163 | Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu: Learning Bregman Distance Functions for Semi-Supervised Clustering. IEEE Trans. Knowl. Data Eng. 24(3): 478-491 (2012) | |
| 162 | Wei Tong, Fengjie Li, Rong Jin, Anil K. Jain: Large-scale near-duplicate image retrieval by kernel density estimation. IJMIR 1(1): 45-58 (2012) | |
| 2011 | ||
| 161 | Steven C. H. Hoi, Jiebo Luo, Susanne Boll, Dong Xu, Rong Jin: Social Media Modeling and Computing. Springer 2011 | |
| 160 | Wei Wu, Hang Li, Yunhua Hu, Rong Jin: Multi-Task Learning in Square Integrable Space. AAAI 2011 | |
| 159 | Subhabrata Bhattacharya, Rahul Sukthankar, Rong Jin, Mubarak Shah: A probabilistic representation for efficient large scale visual recognition tasks. CVPR 2011: 2593-2600 | |
| 158 | Serhat Selcuk Bucak, Rong Jin, Anil K. Jain: Multi-label learning with incomplete class assignments. CVPR 2011: 2801-2808 | |
| 157 | Timothy C. Havens, Radha Chitta, Anil K. Jain, Rong Jin: Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering. FUZZ-IEEE 2011: 463-470 | |
| 156 | Peilin Zhao, Steven C. H. Hoi, Rong Jin, Tianbao Yang: Online AUC Maximization. ICML 2011: 233-240 | |
| 155 | Wei Tong, Fengjie Li, Tianbao Yang, Rong Jin, Anil K. Jain: A kernel density based approach for large scale image retrieval. ICMR 2011: 28 | |
| 154 | Hamed Valizadegan, Rong Jin, Shijun Wang: Learning to trade off between exploration and exploitation in multiclass bandit prediction. KDD 2011: 204-212 | |
| 153 | Radha Chitta, Rong Jin, Timothy C. Havens, Anil K. Jain: Approximate kernel k-means: solution to large scale kernel clustering. KDD 2011: 895-903 | |
| 152 | Luo Si, Rong Jin: Machine learning for information retrieval. SIGIR 2011: 1293-1294 | |
| 151 | Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu: Distance metric learning from uncertain side information for automated photo tagging. ACM TIST 2(2): 13 (2011) | |
| 150 | Rong Jin, Tianbao Yang, Mehrdad Mahdavi: Improved Bound for the Nystrom's Method and its Application to Kernel Classification CoRR abs/1111.2262: (2011) | |
| 149 | Mehrdad Mahdavi, Rong Jin, Tianbao Yang: Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints CoRR abs/1111.6082: (2011) | |
| 148 | Tianbao Yang, Rong Jin, Mehrdad Mahdavi: Regret Bound by Variation for Online Convex Optimization CoRR abs/1111.6337: (2011) | |
| 147 | Peilin Zhao, Steven C. H. Hoi, Rong Jin: Double Updating Online Learning. Journal of Machine Learning Research 12: 1587-1615 (2011) | |
| 146 | Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin: Detecting communities and their evolutions in dynamic social networks - a Bayesian approach. Machine Learning 82(2): 157-189 (2011) | |
| 145 | Steven C. H. Hoi, Rong Jin: Active multiple kernel learning for interactive 3D object retrieval systems. TiiS 1(1): 3 (2011) | |
| 2010 | ||
| 144 | Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King: Smooth Optimization for Effective Multiple Kernel Learning. AAAI 2010 | |
| 143 | Rong Jin, Steven C. H. Hoi, Tianbao Yang: Online Multiple Kernel Learning: Algorithms and Mistake Bounds. ALT 2010: 390-404 | |
| 142 | ZhiXin Tie, Rong Jin, Hong Zhuang, Zhaoqing Wang: The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis. CIT 2010: 2001-2004 | |
| 141 | Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain: Online visual vocabulary pruning using pairwise constraints. CVPR 2010: 3073-3080 | |
| 140 | Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu: Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML 2010: 1175-1182 | |
| 139 | Tianbao Yang, Rong Jin, Anil K. Jain: Learning from Noisy Side Information by Generalized Maximum Entropy Model. ICML 2010: 1199-1206 | |
| 138 | Jung-Eun Lee, Rong Jin, Anil K. Jain: Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval. ICPR 2010: 3902-3906 | |
| 137 | Tianbao Yang, Rong Jin, Anil K. Jain, Yang Zhou, Wei Tong: Unsupervised transfer classification: application to text categorization. KDD 2010: 1159-1168 | |
| 136 | Wei Li, Xuerui Wang, Ruofei Zhang, Ying Cui, Jianchang Mao, Rong Jin: Exploitation and exploration in a performance based contextual advertising system. KDD 2010: 27-36 | |
| 135 | Serhat Selcuk Bucak, Rong Jin, Anil K. Jain: Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition. NIPS 2010: 325-333 | |
| 134 | Sheng-Jun Huang, Rong Jin, Zhi-Hua Zhou: Active Learning by Querying Informative and Representative Examples. NIPS 2010: 892-900 | |
| 133 | Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin: Directed Network Community Detection: A Popularity and Productivity Link Model. SDM 2010: 742-753 | |
| 132 | Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain: Non-parametric Mixture Models for Clustering. SSPR/SPR 2010: 334-343 | |
| 131 | Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu: Robust Metric Learning by Smooth Optimization. UAI 2010: 244-251 | |
| 130 | Haibin Cheng, Pang-Ning Tan, Rong Jin: Efficient Algorithm for Localized Support Vector Machine. IEEE Trans. Knowl. Data Eng. 22(4): 537-549 (2010) | |
| 129 | Liu Yang, Rong Jin, Lily B. Mummert, Rahul Sukthankar, Adam Goode, Bin Zheng, Steven C. H. Hoi, Mahadev Satyanarayanan: A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 30-44 (2010) | |
| 128 | Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin: Discriminative semi-supervised feature selection via manifold regularization. IEEE Transactions on Neural Networks 21(7): 1033-1047 (2010) | |
| 127 | Shijun Wang, Rong Jin, Hamed Valizadegan: A Potential-based Framework for Online Multi-class Learning with Partial Feedback. Journal of Machine Learning Research - Proceedings Track 9: 900-907 (2010) | |
| 126 | Yang Zhou, Rong Jin, Steven C. H. Hoi: Exclusive Lasso for Multi-task Feature Selection. Journal of Machine Learning Research - Proceedings Track 9: 988-995 (2010) | |
| 125 | Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss: On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles. Neural Computation 22(1): 158-189 (2010) | |
| 2009 | ||
| 124 | Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu: First ACM SIGMM international workshop onsocial media (WSM'09). ACM Multimedia 2009: 1161-1162 | |
| 123 | Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Nenghai Yu: Distance metric learning from uncertain side information with application to automated photo tagging. ACM Multimedia 2009: 135-144 | |
| 122 | Rong Jin, Shijun Wang, Zhi-Hua Zhou: Learning a distance metric from multi-instance multi-label data. CVPR 2009: 896-902 | |
| 121 | Seif Eldawlatly, Yang Zhou, Rong Jin, Karim G. Oweiss: Inferring functional cortical networks from spike train ensembles using Dynamic Bayesian Networks. ICASSP 2009: 3489-3492 | |
| 120 | Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain: Efficient multi-label ranking for multi-class learning: Application to object recognition. ICCV 2009: 2098-2105 | |
| 119 | Anil K. Jain, Jung-Eun Lee, Rong Jin, Nicholas Gregg: Content-based image retrieval: An application to tattoo images. ICIP 2009: 2745-2748 | |
| 118 | Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King: Non-monotonic feature selection. ICML 2009: 144 | |
| 117 | Liu Yang, Rong Jin, Jieping Ye: Online learning by ellipsoid method. ICML 2009: 145 | |
| 116 | Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King: Discriminative Semi-Supervised Feature Selection via Manifold Regularization. IJCAI 2009: 1303-1308 | |
| 115 | Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu: Combining link and content for community detection: a discriminative approach. KDD 2009: 927-936 | |
| 114 | Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao: Learning to Rank by Optimizing NDCG Measure. NIPS 2009: 1883-1891 | |
| 113 | Lei Wu, Rong Jin, Steven C. H. Hoi, Jianke Zhu, Nenghai Yu: Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering. NIPS 2009: 2089-2097 | |
| 112 | Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu, Zhirong Yang: Adaptive Regularization for Transductive Support Vector Machine. NIPS 2009: 2125-2133 | |
| 111 | Peilin Zhao, Steven C. H. Hoi, Rong Jin: DUOL: A Double Updating Approach for Online Learning. NIPS 2009: 2259-2267 | |
| 110 | Rong Jin, Shijun Wang, Yang Zhou: Regularized Distance Metric Learning: Theory and Algorithm. NIPS 2009: 862-870 | |
| 109 | Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin: A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks. SDM 2009: 990-1001 | |
| 108 | Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu: A Bayesian Framework for Community Detection Integrating Content and Link. UAI 2009: 615-622 | |
| 107 | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu: Semisupervised SVM batch mode active learning with applications to image retrieval. ACM Trans. Inf. Syst. 27(3): (2009) | |
| 106 | Xuerui Yang, Yang Zhou, Rong Jin, Christina Chan: Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization. Bioinformatics 25(17): 2236-2243 (2009) | |
| 105 | Steven C. H. Hoi, Rong Jin, Michael R. Lyu: Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval. IEEE Trans. Knowl. Data Eng. 21(9): 1233-1248 (2009) | |
| 104 | Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain, Yi Liu: SemiBoost: Boosting for Semi-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2000-2014 (2009) | |
| 103 | Shijun Wang, Rong Jin: An Information Geometry Approach for Distance Metric Learning. Journal of Machine Learning Research - Proceedings Track 5: 591-598 (2009) | |
| 102 | Seif Eldawlatly, Rong Jin, Karim G. Oweiss: Identifying Functional Connectivity in Large-Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach. Neural Computation 21(2): 450-477 (2009) | |
| 2008 | ||
| 101 | Steven C. H. Hoi, Rong Jin: Semi-Supervised Ensemble Ranking. AAAI 2008: 634-639 | |
| 100 | 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 | |
| 99 | Jinfeng Zhuang, Steven C. H. Hoi, Aixin Sun, Rong Jin: Representative entry selection for profiling blogs. CIKM 2008: 1387-1388 | |
| 98 | Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King: Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 | |
| 97 | Jung-Eun Lee, Rong Jin, Anil K. Jain: Rank-based distance metric learning: An application to image retrieval. CVPR 2008 | |
| 96 | Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu: Semi-supervised SVM batch mode active learning for image retrieval. CVPR 2008 | |
| 95 | Liu Yang, Rong Jin, Rahul Sukthankar, Frédéric Jurie: Unifying discriminative visual codebook generation with classifier training for object category recognition. CVPR 2008 | |
| 94 | Hamed Valizadegan, Rong Jin, Anil K. Jain: Semi-Supervised Boosting for Multi-Class Classification. ECML/PKDD (2) 2008: 522-537 | |
| 93 | Steven C. H. Hoi, Rong Jin: Active kernel learning. ICML 2008: 400-407 | |
| 92 | Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain: Active query selection for semi-supervised clustering. ICPR 2008: 1-4 | |
| 91 | Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu: An Extended Level Method for Efficient Multiple Kernel Learning. NIPS 2008: 1825-1832 | |
| 90 | Liu Yang, Rong Jin, Rahul Sukthankar: Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization. NIPS 2008: 1857-1864 | |
| 89 | Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye: Multi-label Multiple Kernel Learning. NIPS 2008: 777-784 | |
| 88 | Rong Jin, Hamed Valizadegan, Hang Li: Ranking refinement and its application to information retrieval. WWW 2008: 397-406 | |
| 87 | 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) | |
| 86 | 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 | ||
| 85 | Feilong Chen, Rong Jin: Active Algorithm Selection. AAAI 2007: 534-539 | |
| 84 | Wei Tong, Rong Jin: Semi-Supervised Learning by Mixed Label Propagation. AAAI 2007: 651-656 | |
| 83 | Yi Liu, Joyce Yue Chai, Rong Jin: Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems. ACL 2007 | |
| 82 | Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukthankar: Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data. CVPR 2007 | |
| 81 | Rong Jin, Ming Wu, Rahul Sukthankar: Semi-supervised Collaborative Text Classification. ECML 2007: 600-607 | |
| 80 | Steven C. H. Hoi, Rong Jin, Michael R. Lyu: Learning nonparametric kernel matrices from pairwise constraints. ICML 2007: 361-368 | |
| 79 | 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 | |
| 78 | 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 | |
| 77 | Yi Liu, Rong Jin, Anil K. Jain: BoostCluster: boosting clustering by pairwise constraints. KDD 2007: 450-459 | |
| 76 | Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu: Efficient Convex Relaxation for Transductive Support Vector Machine. NIPS 2007 | |
| 75 | Anil K. Jain, Jung-Eun Lee, Rong Jin: Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification. PCM 2007: 256-265 | |
| 74 | Feng Kang, Rong Jin, Steven C. H. Hoi: Similarity Beyond Distance Measurement. RIAO 2007 | |
| 73 | Haibin Cheng, Pang-Ning Tan, Rong Jin: Localized Support Vector Machine and Its Efficient Algorithm. SDM 2007 | |
| 72 | Chen Zhang, Matthew Gerber, Tyler Baldwin, Steve Emelander, Joyce Yue Chai, Rong Jin: Michigan State University at the 2007 TREC ciQA Task. TREC 2007 | |
| 71 | Liu Yang, Rong Jin, Rahul Sukthankar: Bayesian Active Distance Metric Learning. UAI 2007: 442-449 | |
| 70 | 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) | |
| 69 | Rong Jin, Jian Zhang: Multi-Class Learning by Smoothed Boosting. Machine Learning 67(3): 207-227 (2007) | |
| 68 | 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 | ||
| 67 | Yi Liu, Rong Jin, Liu Yang: Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization. AAAI 2006: 421-426 | |
| 66 | Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu: An Efficient Algorithm for Local Distance Metric Learning. AAAI 2006: 543-548 | |
| 65 | Feng Kang, Rong Jin, Rahul Sukthankar: Correlated Label Propagation with Application to Multi-label Learning. CVPR (2) 2006: 1719-1726 | |
| 64 | 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 | |
| 63 | Hamed Valizadegan, Rong Jin: Generalized Maximum Margin Clustering and Unsupervised Kernel Learning. NIPS 2006: 1417-1424 | |
| 62 | Ming Wu, Rong Jin: A graph-based framework for relation propagation and its application to multi-label learning. SIGIR 2006: 717-718 | |
| 61 | Steven C. H. Hoi, Rong Jin, Michael R. Lyu: Large-scale text categorization by batch mode active learning. WWW 2006: 633-642 | |
| 60 | 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) | |
| 59 | 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) | |
| 58 | Rong Jin, Luo Si, Chengxiang Zhai: A study of mixture models for collaborative filtering. Inf. Retr. 9(3): 357-382 (2006) | |
| 57 | 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 | ||
| 56 | Yi Liu, Rong Jin: Query Translation Disambiguation as Graph Partitioning. AAAI 2005: 1424-1429 | |
| 55 | Wang Chen, Xiao Li, Rong Jin: Sensor Localization in an Obstructed Environment. DCOSS 2005: 49-62 | |
| 54 | 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 | |
| 53 | Rong Jin, Joyce Y. Chai, Luo Si: Learn to weight terms in information retrieval using category information. ICML 2005: 353-360 | |
| 52 | Rong Jin, Jian Zhang: A smoothed boosting algorithm using probabilistic output codes. ICML 2005: 361-368 | |
| 51 | Rong Jin, Huan Liu: Learning with Labeled Sessions. IJCAI 2005: 740-745 | |
| 50 | Rong Jin, Huan Liu: A Novel Approach to Model Generation for Heterogeneous Data Classification. IJCAI 2005: 746-751 | |
| 49 | Joyce Y. Chai, Zahar Prasov, Joseph Blaim, Rong Jin: Linguistic theories in efficient multimodal reference resolution: an empirical investigation. IUI 2005: 43-50 | |
| 48 | Rong Jin, Chris H. Q. Ding, Feng Kang: A Probabilistic Approach for Optimizing Spectral Clustering. NIPS 2005 | |
| 47 | Rong Jin, Yi Liu: A Framework for Incorporating Class Priors into Discriminative Classification. PAKDD 2005: 568-577 | |
| 46 | Luo Si, Rong Jin: Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis. PAKDD 2005: 622-631 | |
| 45 | Feng Kang, Rong Jin: Symmetric Statistical Translation Models for Automatic Image Annotation. SDM 2005 | |
| 44 | Chen Zhang, Joyce Y. Chai, Rong Jin: User term feedback in interactive text-based image retrieval. SIGIR 2005: 51-58 | |
| 43 | Yi Liu, Rong Jin, Joyce Y. Chai: A maximum coherence model for dictionary-based cross-language information retrieval. SIGIR 2005: 536-543 | |
| 42 | Rong Jin, Joyce Y. Chai: Study of cross lingual information retrieval using on-line translation systems. SIGIR 2005: 619-620 | |
| 2004 | ||
| 41 | Rong Jin, Joyce Y. Chai, Luo Si: Effective automatic image annotation via a coherent language model and active learning. ACM Multimedia 2004: 892-899 | |
| 40 | Luo Si, Rong Jin: Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model. CIKM 2004: 156-157 | |
| 39 | Feng Kang, Rong Jin, Joyce Y. Chai: Regularizing translation models for better automatic image annotation. CIKM 2004: 350-359 | |
| 38 | Vineet Bansal, Chen Zhang, Joyce Y. Chai, Rong Jin: MSU at ImageCLEF: Cross Language and Interactive Image Retrieval. CLEF 2004: 805-815 | |
| 37 | Rong Jin, Huan Liu: SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data. ECML 2004: 560-562 | |
| 36 | Rong Jin, Huan Liu: Robust feature induction for support vector machines. ICML 2004 | |
| 35 | Pang-Ning Tan, Rong Jin: Ordering patterns by combining opinions from multiple sources. KDD 2004: 695-700 | |
| 34 | Rong Jin, Joyce Y. Chai, Luo Si: An automatic weighting scheme for collaborative filtering. SIGIR 2004: 337-344 | |
| 33 | Rong Jin, Luo Si: A study of methods for normalizing user ratings in collaborative filtering. SIGIR 2004: 568-569 | |
| 32 | Rong Jin, Luo Si: A Bayesian Approach toward Active Learning for Collaborative Filtering. UAI 2004: 278-285 | |
| 2003 | ||
| 31 | Rong Yan, Alexander G. Hauptmann, Rong Jin: Negative pseudo-relevance feedback in content-based video retrieval. ACM Multimedia 2003: 343-346 | |
| 30 | Rong Jin, Luo Si, ChengXiang Zhai, James P. Callan: Collaborative filtering with decoupled models for preferences and ratings. CIKM 2003: 309-316 | |
| 29 | Rong Yan, Alexander G. Hauptmann, Rong Jin: Multimedia Search with Pseudo-relevance Feedback. CIVR 2003: 238-247 | |
| 28 | Rong Jin, ChengXiang Zhai, Alexander G. Hauptmann: Information retrieval for OCR documents: a content-based probabilistic correction model. DRR 2003: 128-135 | |
| 27 | Yan Liu, Jaime G. Carbonell, Rong Jin: A New Pairwise Ensemble Approach for Text Classification. ECML 2003: 277-288 | |
| 26 | Rong Jin, Rong Yan, Jian Zhang, Alexander G. Hauptmann: A Faster Iterative Scaling Algorithm for Conditional Exponential Model. ICML 2003: 282-289 | |
| 25 | Luo Si, Rong Jin: Flexible Mixture Model for Collaborative Filtering. ICML 2003: 704-711 | |
| 24 | 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 | |
| 23 | Alexander G. Hauptmann, Rong Jin, Tobun Dorbin Ng: Video retrieval using speech and image information. Storage and Retrieval for Media Databases 2003: 148-159 | |
| 22 | Rong Jin, Luo Si, ChengXiang Zhai: Preference-based Graphic Models for Collaborative Filtering. UAI 2003: 329-336 | |
| 21 | Wei-Hao Lin, Rong Jin, Alexander G. Hauptmann: Web Image Retrieval Re-Ranking with Relevance Model. Web Intelligence 2003: 242-248 | |
| 20 | Rong Jin: Statistical approaches toward automatic title generation. SIGIR Forum 37(2): 79 (2003) | |
| 2002 | ||
| 19 | Luo Si, Rong Jin, James P. Callan, Paul Ogilvie: A language modeling framework for resource selection and results merging. CIKM 2002: 391-397 | |
| 18 | Rong Jin, Alexander G. Hauptmann: A New Probabilistic Model for Title Generation. COLING 2002 | |
| 17 | Rong Jin, Alexander G. Hauptmann: Using a probabilistic source model for comparing images. ICIP (3) 2002: 941-944 | |
| 16 | Rong Jin, Yanjun Qi, Alexander G. Hauptmann: A Probabilistic Model for Camera Zoom Detection. ICPR (3) 2002: 859-862 | |
| 15 | Alexander G. Hauptmann, Rong Jin, Tobun D. Ng: Multi-modal information retrieval from broadcast video using OCR and speech recognition. JCDL 2002: 160-161 | |
| 14 | Wei-Hao Lin, Rong Jin, Alexander G. Hauptmann: Meta-Classification of Multimedia Classifiers. KDMCD 2002: 21-27 | |
| 13 | Rong Jin, Zoubin Ghahramani: Learning with Multiple Labels. NIPS 2002: 897-904 | |
| 12 | Rong Jin, Luo Si, Alexander G. Hauptmann, James P. Callan: Language model for IR using collection information. SIGIR 2002: 419-420 | |
| 11 | Rong Jin, Alexander G. Hauptmann, ChengXiang Zhai: Title language model for information retrieval. SIGIR 2002: 42-48 | |
| 10 | 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 | ||
| 9 | Rong Jin, Alexander G. Hauptmann: Title Generation Using a Training Corpus. CICLing 2001: 208-215 | |
| 8 | Rong Jin, Alexander G. Hauptmann: Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval. ICML 2001: 242-249 | |
| 7 | Rong Jin, Alexander G. Hauptmann: Title Generation for Machine-Translated Documents. IJCAI 2001: 1229-1234 | |
| 6 | Susan T. Dumais, Rong Jin: Probabilistic Combination of Content and Links. SIGIR 2001: 402-403 | |
| 5 | Rong Jin, Christos Falusos, Alexander G. Hauptmann: Meta-scoring: Automatically Evaluating Term Weighting Schemes in IR without Precision-Recall. SIGIR 2001: 83-89 | |
| 4 | 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 | ||
| 3 | Alexander G. Hauptmann, Rong Jin, Howard D. Wactlar: Data Analysis for a Multimedia Library. ELSNET Summer School 2000: 6-37 | |
| 2 | Rong Jin, Alexander G. Hauptmann: Title generation for spoken broadcast news using a training corpus. INTERSPEECH 2000: 680-683 | |
| 1999 | ||
| 1 | M. Siegler, Rong Jin, Alexander G. Hauptmann: CMU Spoken Document Retrieval in Trec-8: Analysis of the role of Term Frequency TF. TREC 1999 | |
Colors in the list of coauthors
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