1. Z. Teng, J.L. Xing, Q. Wang, B.P. Zhang, and J.P. Fan. Deep Spatial and Temporal Network for Robust Visual Object Tracking. IEEE Transactions on Image Processing. 2020, 29: 1762-1775. (An2, IF= 6.79)
2. Z. Teng, B.P. Zhang, and J.P. Fan. Three-step action search networks with deep Q-learning for real-time object tracking. Pattern Recognition, 2020, 101:(). (An2, IF= 5.898)
2019年:
1. R. Li, B.P. Zhang, D.-J. Kang, and Z. Teng. Deep attention network for person re-identification with multi-loss. Computers & Electrical Engineering. 2019,79. (An3, IF=2.189)
2. Y. Li, B.P. Zhang, J. Tian, R. Li, S.B. Wang, and J.P. Fan. Object-based Image Discrimination Relationship Recognition. IEEE 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC), 2019, pp. 1-6.
2018年:
1. T.Y. Zhao, B.P. Zhang, M. He, W. Zhang, N. Zhou, J. Yu, and J.P. Fan. Embedding Visual Hierarchy with Deep Networks for Large-Scale Visual Recognition. IEEE Transactions on Image Processing, 2018, 27(10):4740-4755. (An2, IF= 4.828)
2. J. Yu, Z.Z. Kuang, B.P. Zhang, W. Zhang, D. Lin, J.P. Fan. Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing. IEEE Transactions on Information Forensics and Security. 2018, 13(5):1317 -1332. (An2, IF= 4.332)
3. Z.Z. Kuang, J.Yu, Z.M. Li; B.P. Zhang; J.P. Fan. Integrating Multi-Level Deep Learning and Concept Ontology for Large-Scale Visual Recognition, Pattern Recognition, 2018.1.24, 78: 198~214. (An2, IF= 4.582)
2017年:
1. B.P. Zhang, Y.Y. Qu, J.Y. Peng, J.P. Fan. An automatic image-text alignment method for large-scale web image retrieval. Multimedia Tools and Applications. 2017, 76(20): 21401-21421. ( An3, IF=1.530)
2. J. Yu, B.P. Zhang, Z.Z. Kuang, D. Lin, J. P. Fan. iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning. IEEE Transactions on Information Forensics and Security. 2016,12(5):1005-1016. ( An2, IF= 4.332)
2016年:
1. B.P. Zhang, H.Z. Luo, and J.P. Fan. Statistical modeling for automatic image indexing and retrieval. Neurocomputing. 2016, 207:105-119. (An2, IF= 3.317)
2. Z. Teng, F. Liu, B.P. Zhang. Visual railway detection by superpixel based intracellular decisions. Multimedia Tools and Applications. 2016, 75(5): 2473-2486. ( An3, IF= 1.530)
2015年及以前:
1. Y.Y. Qu, B.P. Zhang, and J.P. Fan. Parallel AP Clustering and Re-ranking for Automatic Image-Text Alignment and Large-Scale Web Image Search. Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, Shanghai, China, 2015, pp. 451-454.
2. M.L. Yang, B.P. Zhang, Y.D. Li. RDF Data Query and Management Method based on HBase and Structure Index in Railway Sensor Application. The fourteenth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT). 36-43, 2013.
3. Y.C Li, Y.D. Li, B.P. Zhang, et al.. Preserving Private Cloud Service Data Based on Hypergraph Anonymization. The fourteenth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT). pp. 192-197. 2013
4. B.P. Zhang, S.Y. Gao, N. Zhang, et al.. Resource Management Policy for Cloud Testbed of China Railway. In Proceedings of 2010 International Conference on Computer Application and System Modeling, vol.4, pp: 375-379.
5. Z. Liu, F. Liu, B.P. Zhang, et al.. Research on Cloud Computing and Its Application in Railway Big Data Processing. Journal of Beijing Jiaotong University. 34(5): 14-19, 2010.
6. B.P. Zhang, N. Zhang, H.H. Li, et al.. An Efficient Cloud Computing-Based Architecture for Freight System Application in China Railway. In Proceedings on 2009 International Conference on Cloud Computing (CLOUDCOM). Springer LNCS 5931, pp: 359-368.
7. B.P. Zhang, N. Zhang, F. Liu, et al.. A Novel Cloud Computing Paradigm for China Railway Application. In Proceedings of 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), vol. 3, pp: 213-217.
8. B.P. Zhang, Y.C. Shi, X. Xiao. A Policy-Driven Service Composition Method for Adaptation in Pervasive Computing Environment. The Computer Journal, Oxford University Press, 53(2): 152-165, 2010.
9. B.P. Zhang, Y.C. Shi, X. Xiao. Efficient Service Composition Strategy in Smart Space. The Journal of Tsinghua University. 48(7): 1190-1193, 2008.
10. B.P. Zhang, Y.C. Shi, Y. Chen. A Policy-based Adaptation Method for Service Composition. In Proceedings of 2007 International Symposium on Pervasive Computing and Applications. pp: 619-624.
11. B.P. Zhang, Y.C. Shi, X. Xiao. A Peer-to-Peer Semantic-Based Service Discovery Method for Pervasive Computing Environment. In Proceedings of The IEEE 2007 International Conference on Ubiquitous Intelligence and Computing (UIC). pp: 195-204.
12. H.L. Gu, Y.C. Shi, G.Y. Xu, W.S. He, B.P. Zhang. SLAP: A Location-Aware Software Infrastructure for Smart Space. In Proceedings of 2005 IEEE workshop on Software Technologies for Future Embedded and Ubiquitous Systems(SEUS). pp: 35-38.
14. X. Xiao, Y.C. Shi, Z.J. Chen, B.P. Zhang. On Constructing High Performance Overlay for Layered Streaming in Heterogeneous Networks. In Proceedings of The IEEE 22nd International Conference on Advanced Information Networking and Applications (AINA2008).pp: 578-584.
15. X. Xiao, Y.C. Shi, B.P. Zhang, et al. OCals: A Novel Overlay Construction Approach for Layered Streaming. In Proceedings of 2008 IEEE International Conference on Communications (ICC). pp: 1807-1812.