个人简介
教育背景
2014年博士毕业于新加坡管理大学信息系统学院
工作经历
2017年 - 至今, 暨南大学网络空间安全学院,副教授
2014年 - 2017年,新加坡南洋理工大学(NTU),博士后研究员(Postdoc Research Fellow)
2011年 - 2012年,美国卡内基梅隆大学(CMU),交换博士生
2009年 - 2010年,新加坡管理大学(SMU),信息系统学院,助教(TA)
近期论文
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1. X.F. Zhu, S.C. Zhang, Y.G. Li, J.L. Zhang, L.F. Yang and Y. Fang. Low-Rank Sparse Subspace for Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(8):1532-1543, 2019 (CCF A类)
2. F. L. Huang, X. L. Li, S. C. Zhang, J. L. Zhang. Harmonious Genetic Clustering. IEEE Transactions on Cybernetics, 48(1): 199-214, 2018 (JCR 1区)
3. F. L. Huang, X. L. Li, S. C. Zhang, J. L. Zhang, J. H. Chen, and Z. N Zhai. Overlapping Community Detection for Multimedia Social Networks. IEEE Transactions on Multimedia, 19( 8): 1881-1892, 2017 (JCR 1区)
4. F. L. Huang, S. C. Zhang, J. L. Zhang, G. Yu. Multimodal learning for topic sentiment analysis in microblogging. Neurocomputing, 253: 144-153, 2017
5. K. Mouratidis, J. L. Zhang, H. H. Pang. Maximum Rank Query. In Proceedings of the International Conference on Very Large Data Bases (VLDB), 8(12): 1554-1565, 2015. (CCF A类)
6. J. L. Zhang, K. Mouratidis, H. H. Pang. Global Immutable Region Computation. In Proceedings of the ACM International Conference on Management of Data (SIGMOD), 1151-1162, 2014. (CCF A类)
7. J. L. Zhang, K. Mouratidis, H. H. Pang. Direct Neighbor Search. Information Systems, Vol. 44, 74-92, 2014. (CCF B类)
8. H. H. Pang, J. L. Zhang, K. Mouratidis. Enhancing Access Privacy of Range Retrievals over B+ Trees. IEEE Transactions on Knowledge and Data Engineering (TKDE), 25(7), 1533-1547, 2013.(CCF A类)
9. J. L. Zhang, K. Mouratidis, H. H. Pang. Heuristic algorithms for balanced multi-way number partitioning. International Joint Conference on Artificial Intelligence (IJCAI), 693-698, 2011. (CCF A类)
10. H. H. Pang, J. L. Zhang, K. Mouratidis. Scalable Verification for Outsourced Dynamic Databases. In Proceedings of the International Conference on Very Large Data Bases (VLDB), 802-813, 2009. (CCF A类)
11. C. Zhang, J. L. Zhang, C. Q. Zhang. EDUA: An efficient algorithm for dynamic database mining. Information Sciences 177(13): 2756-2767, 2007. (CCF B类)