Xingquan (Hill) Zhu
TitleCited byYear
Data mining with big data
X Wu, X Zhu, GQ Wu, W Ding
Knowledge and Data Engineering, IEEE Transactions on 26 (1), 97-107, 2014
Class noise vs. attribute noise: A quantitative study
X Zhu, X Wu
Artificial Intelligence Review 22 (3), 177-210, 2004
A unified framework for semantics and feature based relevance feedback in image retrieval systems
Y Lu, C Hu, X Zhu, HJ Zhang, Q Yang
Proceedings of the eighth ACM international conference on Multimedia, 31-37, 2000
Eliminating class noise in large datasets
X Zhu, X Wu, Q Chen
ICML 3, 920-927, 2003
Eliminating class noise in large data sets
Z Xingquan, W Xindong, C Qijun
Proc. of 20th International Conference on Machine Learning, 2003
ClassView: hierarchical video shot classification, indexing, and accessing
J Fan, AK Elmagarmid, X Zhu, WG Aref, L Wu
Multimedia, IEEE Transactions on 6 (1), 70-86, 2004
A survey on instance selection for active learning
Y Fu, X Zhu, B Li
Knowledge and information systems, 1-35, 2013
Knowledge Discovery and Data Mining: Challenges and Realities
X Zhu, I Davidson
Igi Global, 2007
Machine learning for android malware detection using permission and api calls
N Peiravian, X Zhu
Tools with Artificial Intelligence (ICTAI), 2013 IEEE 25th International …, 2013
Video data mining: semantic indexing and event detection from the association perspective
Z Xingquan, W Xindong, AK Elmagarmid
IEEE Transactions on Knowledge and Data Engineering 17 (5), 665-677, 2005
Online feature selection with streaming features
X Wu, K Yu, W Ding, H Wang, X Zhu
IEEE, 2012
Tri-party deep network representation
S Pan, J Wu, X Zhu, C Zhang, Y Wang
Network 11 (9), 12, 2016
Combining proactive and reactive predictions for data streams
Y Yang, X Wu, X Zhu
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
Active learning from stream data using optimal weight classifier ensemble
X Zhu, P Zhang, X Lin, Y Shi
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 40 …, 2010
Mining in anticipation for concept change: Proactive-reactive prediction in data streams
Y Yang, X Wu, X Zhu
Data mining and knowledge discovery 13 (3), 261-289, 2006
Categorizing and mining concept drifting data streams
P Zhang, X Zhu, Y Shi
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
InsightVideo: toward hierarchical video content organization for efficient browsing, summarization and retrieval
X Zhu, AK Elmagarmid, X Xue, L Wu, AC Catlin
Multimedia, IEEE Transactions on 7 (4), 648-666, 2005
Exploring video content structure for hierarchical summarization
X Zhu, X Wu, J Fan, AK Elmagarmid, WG Aref
Multimedia Systems 10 (2), 98-115, 2004
Dynamic classifier selection for effective mining from noisy data streams
X Zhu, X Wu, Y Yang
Data Mining, 2004. ICDM'04. Fourth IEEE International Conference on, 305-312, 2004
Hierarchical video content description and summarization using unified semantic and visual similarity
X Zhu, J Fan, AK Elmagarmid, X Wu
Multimedia Systems 9 (1), 31-53, 2003
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