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Jingrui He
2010 – today
- 2013
[c34]Jingrui He, Wei Shen, Phani Divakaruni, Laura Wynter, Rick Lawrence: Improving Traffic Prediction with Tweet Semantics. IJCAI 2013- [c33]Dan Zhang, Jingrui He, Richard D. Lawrence: MI2LS: multi-instance learning from multiple informationsources. KDD 2013: 149-157
- [e1]Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy (Eds.): The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013. ACM 2013, ISBN 978-1-4503-2174-7
- 2012
- [b1]Jingrui He: Analysis of Rare Categories. Cognitive Technologies, Springer 2012, ISBN 978-3-642-22812-4, pp. 1-128
- [j5]Jingrui He, Hanghang Tong, Jaime G. Carbonell: An effective framework for characterizing rare categories. Frontiers of Computer Science 6(2): 154-165 (2012)
- [c32]
- [c31]
- [c30]Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski: GenDeR: A Generic Diversified Ranking Algorithm. NIPS 2012: 1151-1159
- [c29]Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell: Adaptive Multi-task Sparse Learning with an Application to fMRI Study. SDM 2012: 212-223
- 2011
- [c28]Jingrui He, Rick Lawrence: A Graphbased Framework for Multi-Task Multi-View Learning. ICML 2011: 25-32
- [c27]Hanghang Tong, Jingrui He, Zhen Wen, Ravi Konuru, Ching-Yung Lin: Diversified ranking on large graphs: an optimization viewpoint. KDD 2011: 1028-1036
- [c26]Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence: Multi-view transfer learning with a large margin approach. KDD 2011: 1208-1216
- 2010
- [j4]Jingrui He, Jaime G. Carbonell: Coselection of features and instances for unsupervised rare category analysis. Statistical Analysis and Data Mining 3(6): 417-430 (2010)
- [c25]
- [c24]Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter: Ensemble-Based Method for Task 2: Predicting Traffic Jam. ICDM Workshops 2010: 1363-1365
- [c23]Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz: Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report. ICDM Workshops 2010: 1369-1371
- [c22]Jingrui He, Jaime G. Carbonell: Co-selection of Features and Instances for Unsupervised Rare Category Analysis. SDM 2010: 525-536
2000 – 2009
- 2009
- [c21]
- [c20]
- 2008
- [c19]
- [c18]
- 2007
- [j3]Fei Wu, Changshui Zhang, Jingrui He: An evolutionary system for near-regular texture synthesis. Pattern Recognition 40(8): 2271-2282 (2007)
- [c17]
- [c16]Jingrui He, Jaime G. Carbonell, Yan Liu: Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI 2007: 2492-2497
- [c15]Jingrui He, Jaime G. Carbonell: Nearest-Neighbor-Based Active Learning for Rare Category Detection. NIPS 2007
- 2006
- [j2]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang: Manifold-Ranking-Based Keyword Propagation for Image Retrieval. EURASIP J. Adv. Sig. Proc. 2006 (2006)
- [j1]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Generalized Manifold-Ranking-Based Image Retrieval. IEEE Transactions on Image Processing 15(10): 3170-3177 (2006)
- 2005
- [c14]Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang: A Unified Optimization Based Learning Method for Image Retrieval. CVPR (2) 2005: 230-235
- [c13]Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen: Internet Traffic Prediction by W-Boost: Classification and Regression. ISNN (3) 2005: 397-402
- [c12]Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li: Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier. ISNN (3) 2005: 476-481
- [c11]Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang: Multiple random walk and its application in content-based image retrieval. Multimedia Information Retrieval 2005: 151-158
- [c10]Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma: Graph based multi-modality learning. ACM Multimedia 2005: 862-871
- [c9]Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma: Learning No-Reference Quality Metric by Examples. MMM 2005: 247-254
- 2004
- [c8]Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: Symmetry feature in content-based image retrieval. ICIP 2004: 417-420
- [c7]Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: W-Boost and Its Application to Web Image Classification. ICPR (1) 2004: 148-151
- [c6]Hanghang Tong, Chongrong Li, Jingrui He: A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction. ISNN (2) 2004: 931-936
- [c5]Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang: Mean version space: a new active learning method for content-based image retrieval. Multimedia Information Retrieval 2004: 15-22
- [c4]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Manifold-ranking based image retrieval. ACM Multimedia 2004: 9-16
- [c3]Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) 2004: 111-118
- [c2]Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang: Classification of Digital Photos Taken by Photographers or Home Users. PCM (1) 2004: 198-205
- [c1]Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval. PCM (2) 2004: 213-220
Coauthor Index
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last updated on 2013-10-02 10:58 CEST by the dblp team