Jingrui He

Jingrui He: Analysis of Rare Categories. Cognitive Technologies, Springer 2012, isbn 978-3-642-22812-4, pp. 1-128

Jingrui He, Hanghang Tong, Jaime G. Carbonell: An effective framework for characterizing rare categories. Frontiers of Computer Science 6(2): 154-165 (2012)

Yada Zhu, Jingrui He, Rick Lawrence: Hierarchical Modeling with Tensor Inputs. AAAI 2012

Jingrui He, Yada Zhu: Hierarchical Multi-task Learning with Application to Wafer Quality Prediction. ICDM 2012: 290-298

Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski: GenDeR: A Generic Diversified Ranking Algorithm. NIPS 2012: 1151-1159

Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell: Adaptive Multi-task Sparse Learning with an Application to fMRI Study. SDM 2012: 212-223

Jingrui He, Rick Lawrence: A Graphbased Framework for Multi-Task Multi-View Learning. ICML 2011: 25-32

Hanghang Tong, Jingrui He, Zhen Wen, Ravi Konuru, Ching-Yung Lin: Diversified ranking on large graphs: an optimization viewpoint. KDD 2011: 1028-1036

Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence: Multi-view transfer learning with a large margin approach. KDD 2011: 1208-1216

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)

Jingrui He, Hanghang Tong, Jaime G. Carbonell: Rare Category Characterization. ICDM 2010: 226-235

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

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

Jingrui He, Jaime G. Carbonell: Co-selection of Features and Instances for Unsupervised Rare Category Analysis. SDM 2010: 525-536

Jingrui He, Yan Liu, Richard D. Lawrence: Graph-based transfer learning. CIKM 2009: 937-946

Jingrui He, Jaime G. Carbonell: Prior-Free Rare Category Detection. SDM 2009: 155-163

Jingrui He, Yan Liu, Richard D. Lawrence: Graph-Based Rare Category Detection. ICDM 2008: 833-838

Jingrui He, Jaime G. Carbonell: Rare Class Discovery Based on Active Learning. ISAIM 2008

Fei Wu, Changshui Zhang, Jingrui He: An evolutionary system for near-regular texture synthesis. Pattern Recognition 40(8): 2271-2282 (2007)

Jingrui He, Bo Thiesson: Asymmetric Gradient Boosting with Application to Spam Filtering. CEAS 2007

Jingrui He, Jaime G. Carbonell, Yan Liu: Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI 2007: 2492-2497

Jingrui He, Jaime G. Carbonell: Nearest-Neighbor-Based Active Learning for Rare Category Detection. NIPS 2007

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)

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)

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

Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen: Internet Traffic Prediction by W-Boost: Classification and Regression. ISNN (3) 2005: 397-402

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

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

Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma: Graph based multi-modality learning. ACM Multimedia 2005: 862-871

Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma: Learning No-Reference Quality Metric by Examples. MMM 2005: 247-254

Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: Symmetry feature in content-based image retrieval. ICIP 2004: 417-420

Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: W-Boost and Its Application to Web Image Classification. ICPR (1) 2004: 148-151

Hanghang Tong, Chongrong Li, Jingrui He: A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction. ISNN (2) 2004: 931-936

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

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Manifold-ranking based image retrieval. ACM Multimedia 2004: 9-16

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) 2004: 111-118

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

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