近期论文
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Book Chapter
Innovations in Logistics and Supply Chain Management Technologies for Dynamic Economies, IGI Global, March 31, 2012, Isbn-10: 1-4666-0267-8
D Wang, X Qian, C Quek, AH Tan, C Miao, X Zhang, GS Ng, Y Zhou, “An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings”, Neurocomputing, 2018 319, 102-117, (SCI IF: 3.317)
M Parmar, D Wang, X Zhang, AH Tan, C Miao, J Jiang, Y Zhou, “REDPC: A residual error-based density peak clustering algorithm”, Neurocomputing, 2018, (SCI IF: 3.317)
Y Wang, L Yang, X Chen, X Zhang*, Z He, “Enhancing social network privacy with accumulated non-zero prior knowledge”, Information Sciences, 2018, 445, 6-21. (SCI IF: 4.832).
Yang Xiaofei, Yunming Ye, Xutao Li, Raymond YK Lau, X Zhang, and Xiaohui Huang , “Hyperspectral image classification with deep learning models”, IEEE Transactions on Geoscience and Remote Sensing, 56.9 (2018): 5408-5423. (SCI IF: 4.662)
F Li, Y Ye, Z Tian, X Zhang*, “CPU versus GPU: which can perform matrix computation faster—performance comparison for basic linear algebra subprograms”, Neural Computing and Applications, 2018, 1-13. (SCI IF: 4.462)
Y. Fang, X. Xie, X.F. Zhang*, Reynold Cheng, Z. Zhang. “STEM: A Suffix Tree Based Method for Web Data Records Extraction”, Knowledge and Information Systems (KIS), 55 (2), 305-331 2018, (SCI IF: 2.004).
Q. Huang, C. Jia, X.F. Zhang*, Y.M. Ye, “Learning Discriminative Subspace Models for Weakly Supervised Face Detection”, IEEE Transactions on Industrial Informatics, 2017, (SCI, IF: 6.746).
X.F. Zhang*, WK Cheung, Y Ye, “Mining from distributed and abstracted data”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Sept/October, 2016, 6(5): 167-176, (SCI IF: 2.111).
X. Ma, Q. Liu, Z. He, X.F. Zhang*, W. Chen, “Visual tracking via exemplar regression model”, Knowledge-Based Systems (KBS) , 2016, 106:26-37, (SCI IF: 4.529).
C.S. Li, Y.M. Ye, X.F. Zhang*, “The Author-Topic-Community Model - A Generative Model Relating Author Interest and Their Community Structure”, Knowledge and Information Systems (KIS), 2015: 44 (2), 359-383, (SCI IF: 2.004).
X. You, X. Li, Z. He, X.F. Zhang, “A robust local sparse tracker with global consistency constraint”, Signal Processing, 2015, 111: 308-318, (SCI IF: 3.11).
Q Huang, Z You, X.F. Zhang, Y Zhou, “Prediction of Protein–Protein Interactions with Clustered Amino Acids and Weighted Sparse Representation”, International journal of molecular sciences, 16(5): 10855-10869, May, 2015, (SCI IF: 3.226).
D. Chu, C. Li, X. Xu, X.F. Zhang, “A graph based framework for route optimization in sea-trade logistics”, Mathematical Problems in Engineering, 2015, (SCI IF: 1.3).
X.H. Huang, X.F. Zhang, Y.M. Ye, S.C. Deng, X.T. Li, “A Topic Detection Approach Through Hierarchical Clustering on Concept Graph”, Appl. Math. & Info. Sciences, Volume 7, No. 6, PP. 2285-2295, 2013. (SCI)
D. H. Chu, X.F. Zhang*, X.F. Xu, C.S. Li, “Route Optimization in Foreign Trade Logistics: A Novel Graph Model based Approach”, Information Journal, 2013. (SCI)
C.S. Li, Y.M. Ye, X.F. Zhang, “TPS: an Unsupervised Web Page Segmentation Algorithm Based on Dom Tree Structure Mining”, Information Journal, 15(5): 2091-2099, May, 2012. (SCI)
C.S. Li, Y.M. Ye, X.F. Zhang, “A Novel Graph Partition based Page Segmentation Algorithm”, Information Journal, 15(1):387-395, Jan., 2012. (SCI)
E. K. Wang, Y.M. Ye, X.F. Zhang, Y.P. Li, Z.J. Zhang, “Privacy Issues and Challenges for Context-aware Mobile Social Networks”, International Journal of Digital Content Technology and its Application, 2012. (EI)
X.F. Zhang, William K. Cheung and C.H. Li, “Learning Latent Variable Models From Distributed and Abstracted Data”, Information Sciences, July, 2011. (SCI IF 2.88)
X.F. Zhang, Z.W. Luo, Frank. Tong, and William K. Cheung “A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain”, International Journal of Applied Logistics, Dec. 2010.
W. K. Cheung , X.F. Zhang, H. F. Wong, J. Liu, Z. Luo, F. Tong, “When Distributed Data Mining Goes Service Oriented”, IEEE Internet Computing, July-August, 2006.
X.F. Zhang, C.M. Lam and W.K. Cheung, “Mining Local Data Sources for Learning Global Cluster Models via Local Model Exchange,” The IEEE Intelligent Informatics Bulletin, 4(2), 2004.
会议论文及发表演说
X Ju, X Zhang*, “Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks”, ICDE, 2019.
Yang Xiaofei, Yunming Ye, Xutao Li, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, and Boweng Zhang (2019). Road Detection via Deep Residual Dense U-Net. International Joint Conference on Neural Networks (IJCNN).
Z Yin, J Zhu, X Zhang, “Forecast customer flow using long short-term memory networks”, 2017 International Conference on Security, Pattern Analysis, and Cybernetics.
L Yang, Y Fei, X Zhang, Protecting Link Privacy for Large Correlated Social Networks, 2016 7th International Conference on Cloud Computing and Big Data (CCBD).
Q Huang, X Zhang, K Jia, X Han, Y Ye, “Subspace Model Based Discriminative Instances Selection for Weakly Supervised Object Detection”, In Proceedings of the IEEE International Conference on Data Mining (ICDM), 1514-1521, Nov., 2015.
Q Huang, K Jia, X Zhang, X Han, “Weakly Supervised Object Class Learning Via Discriminative Subspace Models”, In Proceedings of 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 229-232, 2015.
F Liu, X Zhang, Y Ye, Y Zhao, Y Li, “MLRF: multi-label classification through random forest with label-set partition”, In Proceedings of the International Conference on Intelligent Computing, 407-418, Aug., 2015.
Y Li, X Li, F Li, X Zhang, “A lexicon-based multi-class semantic orientation analysis for microblogs”, In Proceedings of the Asia-Pacific Web Conference (APWeb), 81-92, Sept., 2014.
H Ba, X Gao, X Zhang, Z He , “Protecting Data Privacy from being Inferred from High Dimensional Correlated Data”, In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 495-502, Aug., 2014.
Q.Y. Wu, Y.M Ye, X.F. Zhang, Shen-Shyang Ho, “Cluster Tree based Multi-Label Classification for Protein Function Prediction”, BIBM, Dec. 2013
Z.C. Sun, Y.M. Ye, X.F Zhang, J. Huang, “Batch-Mode Active Learning With Semi-supervised Cluster Tree For Text Classification”, In Proceedings of the 2012 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (WI).
C.S. Li, W. K. Chueng, Y.M. Ye, X.F. Zhang, “The Author-Topic-Community Model - A Generative Model Relating Author Interest and Their Community Structure”, ADMA 2012.
Y.M. Ye, C.S. Li, X.F. Zhang, “Unsupervised Web Page Segmentation through Graph Partition of DOM Tree”, in Proceedings of International Conference on Computer Convergence Technology , 2011.
Y.L. Fei, Z.W. Luo and X.F. Zhang, “ A Semantic DOM Approach for Webpage Information Extraction”, In Proceedings of the 2009 International Conference on Engineering Management and Service Sciences, 2009
X.F. Zhang and William K. Cheung, “A Game Theoretic Approach to Active Distributed Data Mining”, In Proceedings of the 2007 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology(IAT), Fremont, California, Nov.,2007
X.F. Zhang, William K. Cheung, C.H. Li, “Graph-Based Abstraction for Privacy Preserving Manifold Visualization”, In Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (WI), Hong Kong, Dec., 2006
Xin Li, Zhili Wu and X.F. Zhang, “An Adaptation of EPCA to Image Compression and Reconstruction”, In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Taipei , Taiwan , Oct., 2006
X.F. Zhang, H.F. Wong and William K. Cheung, “A Privacy-Aware Service-oriented Platform for Distributed Data Mining”, In Proceedings of the Third IEEE Conference on Enterprise Computing, E-Commerce and E-Services (EEE), San Francisco , California, Jun., 2006
X. F. Zhang, William K. Cheung, “Visualizing Global Manifold Based on Distributed Local Data Abstractions”, In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM), Houston, Texas, Nov.,2005.
X.F. Zhang and William K. Cheung, “Learning Global Models based on Local Data Abstractions”, In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI), Edinburg, Scotland, Aug., 2005.
C.M. Lam, X.F. Zhang and William K. Cheung, “On Mining Local Data Sources for Learning Global Cluster Models”, In Proceedings of the 2004 IEEE/WIC International Conference on Web Intelligence (WI), Beijing, China, Sept., 2004.
X.F. Zhang, C.M. Lam and William K. Cheung, “Web Page Organization and Visualization Using Generative Topographic Mapping – A Pilot Study”, In Proceedings of the ICML 2004 Workshop on Statistical Relational Learning (SRL), Banff, Canada, Jul., 2004.
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