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 | 4055 | 2014 |
Class noise vs. attribute noise: A quantitative study X Zhu, X Wu Artificial Intelligence Review 22 (3), 177-210, 2004 | 1081 | 2004 |
Network representation learning: A survey D Zhang, J Yin, X Zhu, C Zhang IEEE Transactions on Big Data 6, 3-28, 2020 | 750 | 2020 |
Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016 | 514 | 2016 |
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 | 492 | 2013 |
Mgae: Marginalized graph autoencoder for graph clustering C Wang, S Pan, G Long, X Zhu, J Jiang Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 458 | 2017 |
A survey on instance selection for active learning Y Fu, X Zhu, B Li Knowledge and information systems, 1-35, 2013 | 440 | 2013 |
Dropout vs. batch normalization: an empirical study of their impact to deep learning C Garbin, X Zhu, O Marques Multimedia Tools and Applications, 1-39, 2020 | 430 | 2020 |
Eliminating class noise in large datasets X Zhu, X Wu, Q Chen ICML 3, 920-927, 2003 | 360 | 2003 |
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 | 350 | 2000 |
Online feature selection with streaming features X Wu, K Yu, W Ding, H Wang, X Zhu IEEE transactions on pattern analysis and machine intelligence 35 (5), 1178-1192, 2012 | 330 | 2012 |
Knowledge Discovery and Data Mining: Challenges and Realities X Zhu, I Davidson Igi Global, 2007 | 237 | 2007 |
Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) HJ Zhang, Z Su, X Zhu US Patent 7,111,002, 2006 | 236 | 2006 |
ClassView: hierarchical video shot classification, indexing, and accessing J Fan, AK Elmagarmid, X Zhu, WG Aref, L Wu IEEE Transactions on Multimedia 6 (1), 70-86, 2004 | 198 | 2004 |
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 | 180 | 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 | 176 | 2010 |
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 | 164 | 2005 |
Unsupervised Domain Adaptive Graph Convolutional Networks M Wu, S Pan, C Zhou, X Chang, X Zhu Proceedings of The Web Conference 2020, 1457-1467, 2020 | 158 | 2020 |
Hashing Techniques: A Survey and Taxonomy L Chi, X Zhu ACM Computing Surveys (CSUR) 50 (1), 11, 2017 | 155 | 2017 |
Active learning from data streams X Zhu, P Zhang, X Lin, Y Shi Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on, 757-762, 2007 | 154 | 2007 |