张春慨 - 哈尔滨工业大学（深圳） - 计算机科学与技术学院

个人简介

张春慨，副教授，硕士生导师，IEEE/CCF/CAAI会员，中国计算机学会深圳分会秘书长、中国计算机学会YOCSEF深圳荣誉委员、广东省科技项目评审专家、深圳市科创委项目评审专家、深圳市经信委项目评审专家等。研究与工作经历 1998.5 - 1998.10 工程师，深圳华为通讯有限公司 2002.1 - 2004.9 讲师，上海交通大学电信学院 2004.10 - 2006.10 博士后，哈工大（深圳） 2006.12 - 至今副教授，哈工大（深圳）计算机科学与技术学院科研项目 2021.03 主持，深圳市重点自然科学基金，250万 2020.09 主持，中国南方电网项目，98万 2020.07 主持，广东省自然科学基金-面上项目，10万 2019.01 主持，深圳市国际合作项目，50万 2017.01 主持，国家重点研发计划：“网络空间安全”重点专项项目，100.98万 2017.08 主持，深圳市基础研究项目，30万 2018.05 主持，深圳市重点技术攻关项目，450万 2015.10 主要参加，国家863计划项目，230万 2013.05 主要参加，深圳市新一代信息技术产业发展专项资金：物联网关键技术及应用系统集成工程实验室，300万

研究领域

机器学习、流数据挖掘和信息安全等，包括深度学习算法、序列模式挖掘算法和异常检测算法等

近期论文

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期刊论文 Zhang C, Zhilin Du, wensheng Gan, et al. On-shelf Utility Mining of Sequence Data, ACM Transactions on Knowledge Discovery from Data (TKDD), 2021, accepted. (CCF B / JCR 1区, IF: 2.538) Zhang Chunkai, Zilin Du, Wensheng Gan, Philip S. Yu, TKUS: Mining Top-K High-Utility Sequential Patterns, Information Sciences, 2021, accepted. (CCF B / JCR 1区, IF: 5.910) Zhang Chunkai，Wei Zuo，Ao Yin, et al. ADET: anomaly detection in time series with linear time, International Journal of Machine Learning and Cybernetics, 12(3): 271-280, 2021. (JCR 1区，IF: 3.844) Chunkai Zhang, Zilin Du, et al, An Efficient Algorithm for Extracting High-utility Hierarchical Sequential patterns, Wireless Communications and Mobile Computing, 2020(1), 2020 (CCF C / IF: 1.819, JCR 3区) Zhang Chunkai, Ao Yin, Wei Zuo, Yingyang Chen, Privacy preserving anomaly detection based on local density estimation, Mathematical Biosciences and Engineering 17(4):3478-3497, 2020 (JCR 3区, IF: 1.313) Zhang C, Tian P, Zhang X, et al. Fast Eclat Algorithms Based on Minwise Hashing for Large Scale Transactions. IEEE Internet of Things Journal, 2019, 6(2): 3948-3961.(JCR 1区，IF: 9.515) Zhang C, Zhou Y, Guo J, et al. Research on classification method of high-dimensional class-imbalanced datasets based on SVM[J]. International Journal of Machine Learning and Cybernetics, 2019, 10(7): 1765-1778. (JCR 1区，IF: 3.844) Zhang C, Zhou Y, Deng Y. VCOS: A Novel Synergistic Oversampling Algorithm in Binary Imbalance Classification[J]. IEEE Access, 2019, 7: 145435-145443. (JCR 1区，IF: 4.098) Zhang C, Tian P, Zhang X, et al. HashEclat: an efficient frequent itemset algorithm[J]. International Journal of Machine Learning and Cybernetics, 2019: 1-14. (JCR 1区，IF: 3.844) Zhang C, Y Chen, Anomaly Detection in ECG Based on Trend Symbolic Aggregate Approximation, Mathematical Biosciences and Engineering, 2019, 16(4): 2154-2167. (JCR 3区，IF: 1.313) Qiao Liu, Xiaohuan Lu, Zhenyu He, Chunkai Zhang*, Wen-Sheng Chen,Deep Convolutional Neural Networks for Thermal Infrared Object Tracking, Knowledge-Based Systems, 2017 (JCR 1区, IF：4.529) 通讯作者 Q Liu，Z He，H Wang，C Zhang*, A multi-view model for visual tracking via correlation filters, Knowledge-Based Systems, 2016, 113:88-99. (JCR 1区, IF：3.325) 会议论文 Zhang C., Nie J. Spatio-Temporal Attentive Network for Session-Based Recommendation. Knowledge Science, Engineering and Management. KSEM 2020. Lecture Notes in Computer Science, vol 12275. 2020 . (CCF C) Zhang C, Yin A, Wu Y, et al. Fast time series discords detection with privacy preserving[C]//2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2018: 1129-1139. (CCF C) Yin A, Zhang C. BOFE: Anomaly Detection in Linear Time Based on Feature Estimation[C]//2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018: 1128-1133. (CCF C) Yin A, Zhang C, Jiang Z L, et al. PPLDEM: A Fast Anomaly Detection Algorithm with Privacy Preserving[C]//International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2018: 358-373.(CCF C) Zhang C, Chen Y, Yin A, et al. An Improvement of PAA on Trend-Based Approximation for Time Series[C]//International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2018: 248-262.(CCF C) Liao Q, Ding Y, Jiang Z L, et al. Multi-task deep convolutional neural network for cancer diagnosis[J]. Neurocomputing, 2019, 348: 66-73. (JCR 1区) Chunkai Zhang, Yiwen Zu, Junli Nie, et al. Two efficient algorithms for mining high utility sequential patterns. IEEE International Symposium on Parallel and Distributed Processing with Applications, 905-912, 2019. (CCF C) Chunkai Zhang, Yiwen Zu. An efficient parallel algorithm for high utility sequential pattern mining[C]. IEEE International Conference on Data Science and Systems, 2019. C. Zhang et al., A Fast Algorithm for Hiding High Utility Sequential Patterns, 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications (ISPA), 1316-1322, 2019. (CCF C) Zhang C, Chen Y, Yin A, Anomaly Subsequence Detection with Dynamic Local Density for Time Series, the 30th International Conference on Databases and Expert Systems Applications (DEXA2019), Pages: 291-305. (CCF C) Zhang C, Y P Deng, An Adversarial Attack Based on Multi-Objective Optimization in the Black-box Scenario:MOEA-APGA II, 21st International Conference on Information and Communications Security (2019) (CCF C) 著作 Trends in Neural Computation Series: Studies in Computational Intelligence：chapter 12，Springer Verlag, Germany，2007.