Home  |  Education  |  Research  |  Publication  |  Honor  |  Misc.

 

Journal
  1. Fei Wu, Changshui Zhang, and Jingrui He. An Evolutionary System for Near-regular Texture Synthesis. Pattern Recognition. 40(8): 2271-2282, August 2007
  1. Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, and Changshui Zhang. Generalized Manifold-Ranking Based Image Retrieval. IEEE Transaction on Image Processing, Vol. 15, No. 10, pp. 3170-3177, October 2006.[PDF]
  1. Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, and Changshui Zhang. Manifold-Ranking Based Keyword Propagation for Image Retrieval. EURASIP Journal on Applied Signal Processing, Special Issue on Information Mining from Multimedia Database. Volume 2006 (2006), Article ID 79412, 10 pages [PDF]

 

Conference
  1. Jingrui He, Jaime Carbonell. Rare Class Discovery Based on Active Learning. ISAIM 2008 (PDF coming soon)
  1. Jingrui He, Jaime Carbonell. Nearest-Neighbor-Based Active Learning for Rare Category Detection. NIPS 2007 (PDF coming soon)
  1. Jingrui He, Bo Thiesson. Asymmetric Gradient Boosting with Application to Spam Filtering. CEAS 2007 (regular paper) [PDF] [Slides]
  1. Jingrui He, Jaime Carbonell and Yan Liu. Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI 2007 [PDF]
  1. Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma.  Graph Based Multi-modality Learning. Proc. ACM Int. conf. on Multimedia, 2005.[PDF]
  1. Hanghang Tong, Jingrui He, Mingjing Li, Hong-Jiang Zhang, and Changshui Zhang. A Unified Optimization Based Learning Method for Image Retrieval. CVPR2005.[PDF]
  1. Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma. Multiple Random Walk and Its Application in content-based image retrieval. ACM Multimedia Information Retrieval Workshop (MIR2005) [PDF]
  1. Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, and Changshui Zhang. Manifold-Ranking Based Image Retrieval. Proc. ACM Int. Conf. on Multimedia, 2004 (MM2004, regular paper accepted rate: 17%).[PDF]
  1. Jingrui He, Changshui Zhang, Nanyuan Zhao, and Hanghang Tong. Boosting Web Image Search by Co-Ranking. Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2005.[PDF]
  1. Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, and Changshui Zhang. Mean Version Space: a New Active Learning Method for Content-Based Image Retrieval. Proc. The 6th ACM SIGMM Int. Workshop on Multimedia Information Retrieval (MIR), in conjunction with the 2004 ACM Multimedia, 2004.[PDF]
  1. Jingrui He, Mingjing Li, Hong-Jiang Zhang, and Changshui Zhang. Symmetry Feature in Content-Based Image Retrieval. Proc. IEEE Int. Conf. on Image Processing (ICIP), 2004. [PDF]
  1. Jingrui He, Mingjing Li, Hong-Jiang Zhang, and Changshui Zhang. W-Boost and Its Application to Web Image Classification. Proc. IEEE Int. Conf. on Pattern Recognition (ICPR), 2004. [PDF]
  1. Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, and Changshui Zhang. Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval. Proc. Pacific-Rim Conference on Multimedia (PCM), 2004. [PDF]
  1. Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, and Changshui Zhang. Automatic Peak Number Detection in Image Symmetry Analysis. Proc. Pacific-Rim Conference on Multimedia (PCM), 2004. [PDF]
  1. Hanghang Tong, Mingjing Li, Hong-Jiang Zhang, Changshui Zhang, and Jingrui He. Learning No-Reference Quality Metric by Examples. Proc. The 11th Int. Multi-Media Modelling Conf. (MMM), 2005. [PDF]
  1. Hanghang Tong, Mingjing Li, Hong-Jiang Zhang, Jingrui He, and Changshui Zhang. Classification of Digital Photos Taken by Photographers or Home Users. Proc. Pacific-Rim Conference on Multimedia (PCM), 2004. [PDF]
  1. Hanghang Tong, Chongrong Li, Jingrui He. Internet Traffic Prediction by W-Boost: Classification and Regression. Proc. Int. Symposium on Neural Network, 2005. [PDF]
  1. Hanghang Tong, Chongrong Li, Jingrui He, Quang-Anh Tran, Haixin Duan. Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier. Proc. Int. Symposium on Neural Network, 2005. [PDF]
  1. Hanghang Tong, Chongrong Li, Jingrui He. A Boosting-based Framework for Self-similar and Non-linear Internet Traffic Prediction. Proc. Int. Symposium on Neural Network, 2004.[PDF]
  1. Hanghang Tong, Chongrong Li, and Jingrui He. Boosting Feed-Forward Neural Network for Internet Traffic Prediction. Proc. The Third Int. Conf. on Machine Learning and Cybernetics (ICMLC), 2004.

 

In Chinese
  1. Hanghang Tong, Ling Wang, and Jingrui He. Reference Point-Based Near Insertion Approach and Its Improvement for Traveling Salesman Problem. Computers Engineering and Applications, 38(20): 63-65, 2002 (In Chinese).