Jingrui He

	2012
33		Jingrui He: Analysis of Rare Categories Springer 2012: 1-128
	2011
32		Jingrui He, Rick Lawrence: A Graphbased Framework for Multi-Task Multi-View Learning. ICML 2011: 25-32
31		Hanghang Tong, Jingrui He, Zhen Wen, Ravi Konuru, Ching-Yung Lin: Diversified ranking on large graphs: an optimization viewpoint. KDD 2011: 1028-1036
30		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
29		Jingrui He, Hanghang Tong, Jaime G. Carbonell: Rare Category Characterization. ICDM 2010: 226-235
28		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
27		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
26		Jingrui He, Jaime G. Carbonell: Co-selection of Features and Instances for Unsupervised Rare Category Analysis. SDM 2010: 525-536
25		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)
	2009
24		Jingrui He, Yan Liu, Richard D. Lawrence: Graph-based transfer learning. CIKM 2009: 937-946
23		Jingrui He, Jaime G. Carbonell: Prior-Free Rare Category Detection. SDM 2009: 155-163
	2008
22		Jingrui He, Yan Liu, Richard D. Lawrence: Graph-Based Rare Category Detection. ICDM 2008: 833-838
21		Jingrui He, Jaime G. Carbonell: Rare Class Discovery Based on Active Learning. ISAIM 2008
	2007
20		Jingrui He, Bo Thiesson: Asymmetric Gradient Boosting with Application to Spam Filtering. CEAS 2007
19		Jingrui He, Jaime G. Carbonell, Yan Liu: Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI 2007: 2492-2497
18		Jingrui He, Jaime G. Carbonell: Nearest-Neighbor-Based Active Learning for Rare Category Detection. NIPS 2007
17		Fei Wu, Changshui Zhang, Jingrui He: An evolutionary system for near-regular texture synthesis. Pattern Recognition 40(8): 2271-2282 (2007)
	2006
16		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)
15		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
14		Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma: Graph based multi-modality learning. ACM Multimedia 2005: 862-871
13		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
12		Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen: Internet Traffic Prediction by W-Boost: Classification and Regression. ISNN (3) 2005: 397-402
11		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
10		Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma: Learning No-Reference Quality Metric by Examples. MMM 2005: 247-254
9		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
	2004
8		Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Manifold-ranking based image retrieval. ACM Multimedia 2004: 9-16
7		Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: Symmetry feature in content-based image retrieval. ICIP 2004: 417-420
6		Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang: W-Boost and Its Application to Web Image Classification. ICPR (1) 2004: 148-151
5		Hanghang Tong, Chongrong Li, Jingrui He: A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction. ISNN (2) 2004: 931-936
4		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
3		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
2		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
1		Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang: Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) 2004: 111-118

Coauthor Index

1	Jaime G. Carbonell	[18] [19] [21] [23] [25] [26] [29]
2	Jiajian Chen	[11]
3	Yang Chen	[12]
4	Hai-Xin Duan	[11]
5	Qing He	[27] [28]
6	Yiannis Kamarianakis	[27] [28]
7	Ravi Konuru	[31]
8	Richard D. Lawrence	[22] [24] [30]
9	Rick Lawrence	[27] [28] [32]
10	Chongrong Li	[5] [11] [12]
11	Mingjing Li	[1] [2] [3] [4] [6] [7] [8] [9] [10] [13] [14] [15] [16]
12	Xing Li	[11]
13	Zhiwei Li	[2]
14	Ching-Yung Lin	[31]
15	Yan Liu (Yan (Jenny) Liu)	[30]
16	Yan Liu	[19] [22] [24]
17	Wei-Ying Ma	[9] [10] [13] [14] [16]
18	Wei Shen	[27] [28]
19	Luo Si	[30]
20	Grzegorz Swirszcz	[27] [28]
21	Bo Thiesson	[20]
22	Hanghang Tong	[1] [2] [3] [4] [5] [8] [9] [10] [11] [12] [13] [14] [15] [16] [29] [31]
23	Quang-Anh Tran	[11]
24	Zhen Wen	[31]
25	Fei Wu	[17]
26	Laura Wynter	[27] [28]
27	Changshui Zhang (Chang-shui Zhang)	[1] [2] [3] [4] [6] [7] [8] [9] [10] [13] [14] [15] [16] [17]
28	Dan Zhang	[30]
29	HongJiang Zhang (Hong-Jiang Zhang)	[1] [2] [3] [4] [6] [7] [8] [10] [13] [15] [16]

Colors in the list of coauthors

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