Tao Zhu

Associate Professor at University of South China

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朱涛,男,博士,副教授,硕士生导师。于中南大学和中国科学技术大学获得计算机科学与技术专业学士、博士学位。曾任微博大数据算法设计工程师,北京科技大学教师、博士后。主讲大数据技术、机器学习、深度学习和云计算技术等课程。研究兴趣包括:智能感知,计算智能,物联网,大数据和人工智能技术在健康领域的应用。主持或参与多项国家级、省部级教学、科研课题,曾获北京市科学技术二等奖。联系方式:tzhu{at}usc.edu.cn ({at}换成@ )

研究生招生:
研究生要求:专业成绩排名前列,编码能力强,喜欢学习和科研;有机器学习、物联网和竞赛背景优先,联系请附本科成绩单。


Selected Publications

1. Generating Markov Logic Networks Rulebase Based on Probabilistic Latent Semantics Analysis, S Cui, T Zhu, X Zhang, L Chen, L Mao, H Ning, Tsinghua Science and Technology 28 (5), 952-964, 2023

中科院SCI一区

2. A Two-Step Channel Mask Method for Data Augmentation in Contrastive Learning-Based Human Activity Recognition,Qi Xie, Tao Zhu, Jinqiang Wang, Liming Luke Chen, Chao Liu, Yaping Wan, Human-centric Computing and Information Sciences, 2023

中科院SCI二区

3. A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation, F Duan, T Zhu, J Wang, L Chen, H Ning, Y Wan, IEEE Transactions on Instrumentation and Measurement, 2023

中科院SCI二区 Top

4. Negative selection by clustering for contrastive learning in human activity recognition,J Wang, T Zhu, L Chen, H Ning, Y Wan, IEEE Internet of Things Journal, 2023

中科院SCI一区

5. CASL: Capturing Activity Semantics through Location Information for enhanced activity recognition, X Zhang, C Zhang, T Zhu, L Chen, F Zhou, H Ning, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023

6. Parameter identification and state estimation for nuclear reactor operation digital twin,H Gong, T Zhu, Z Chen, Y Wan, Q Li, Annals of Nuclear Energy, 2023

中科院SCI小类一区

7. A Parallel Multiobjective PSO Weighted Average Clustering Algorithm Based on Apache Spark, H Ling, X Zhu, T Zhu, M Nie, Z Liu, Z Liu, Entropy 25 (2), 259, 2023

8. Exploring LoRa and Deep Learning-Based Wireless Activity Recognition,Y Xiao, Y Chen, M Nie, T Zhu, Z Liu, C Liu, Electronics 12 (3), 629, 2023

9. EvoDCMMO: Benchmarking and solving dynamic constrained multimodal optimization problems,X Lin, W Luo, Y Qiao, P Xu, T Zhu, Swarm and Evolutionary Computation 75, 101184, 2022

中科院SCI一区

10. Sensor Data Augmentation by Resampling in Contrastive Learning for Human Activity Recognition, J Wang, T Zhu, J Gan, LL Chen, H Ning, Y Wan, IEEE Sensors Journal 22 (23), 22994-23008 10, 2022

中科院SCI二区 TOP

11. Federated Markov Logic Network for indoor activity recognition in Internet of Things,C Zhang, X Ren, T Zhu, F Zhou, H Liu, Q Lu, H Ning, Knowledge-Based Systems 253, 109553, 2022

中科院SCI一区

12. MCLA: Research on cumulative learning of Markov Logic Network, S Cui, T Zhu, X Zhang, H Ning, Knowledge-Based Systems, 108352, 2022,

中科院SCI一区

13. Few-shot activity learning by dual Markov logic networks, Z Zhang, T Zhu, D Gao, J Xu, H Liu, H Ning, Knowledge-Based Systems, 108158, 2022

中科院SCI一区

14. Classroom student posture recognition based on an improved high-resolution network, Y Zhang, T Zhu, H Ning, Z Liu, EURASIP Journal on Wireless Communications and Networking 2021 (1), 1-15, 2021

15. On Followers Search, L Ni, W Luo, T Zhu, P Xu, IEEE Transactions on Computational Social Systems 8 (5), 1068-1082, 2021

16. Multi-resident type recognition based on ambient sensors activity, Q Li, W Huangfu, F Farha, T Zhu, S Yang, L Chen, H Ning, Future Generation Computer Systems 112, 108-115, 2020

中科院SCI二区 TOP

17. Guest editorial: Special issue on data intelligence in sustainable computing, T Zhu, W Luo, J Cao, H Lei, Sustainable Computing: Informatics and Systems 25, 100375, 2020

18. Making use of observable parameters in evolutionary dynamic optimization, T Zhu, W Luo, C Bu, H Ning, Information Sciences 512, 708-725, 2020

中科院SCI一区

19. A hybrid approach to inferring the Internet of Things for complex activity recognition, Q Li, H Ning, T Zhu, S Cui, L Chen, EURASIP Journal on Wireless Communications and Networking 2019 (1), 1-11, 2019

20. A clonal selection algorithm for dynamic multimodal function optimization, W Luo, X Lin, T Zhu, P Xu, Swarm and Evolutionary Computation 50, 100459, 2019

中科院SCI一区

21. Species and memory enhanced differential evolution for optimal power flow under double-sided uncertainties, C Bu, W Luo, T Zhu, R Yi, B Yang, IEEE Transactions on Sustainable Computing 5 (3), 403-415, 2019

中科院SCI二区

22. A semantic-based inference control algorithm for OWL repository privacy protection, Y Qi, X Yao, T Zhu, H Ning, Computer Networks 156, 1-8, 2019

CCF B

23. A novel ontology consistent with acknowledged standards in smart homes, H Ning, F Shi, T Zhu, Q Li, L Chen, Computer Networks 148, 101-107, 2019

CCF B

24. A survey of RDF management technologies and benchmark datasets, Z Pan, T Zhu, H Liu, H Ning, Journal of Ambient Intelligence and Humanized Computing 9 (5), 1693-1704, 2018

25. Learning enhanced differential evolution for tracking optimal decisions in dynamic power systems, T Zhu, Y Hao, W Luo, H Ning, Applied soft computing 67, 812-821, 2018

中科院SCI二区

26. A survey of data semantization in internet of things, F Shi, Q Li, T Zhu, H Ning, Sensors 18 (1), 313, 2018

27. STLF: Spatial-temporal-logical knowledge representation and object mapping framework, S Dhelim, H Ning, T Zhu, 2016 IEEE International Conference on Systems, Man, and Cybernetics 2016

28. Internet use and its impact on individual physical health, Y Zheng, D Wei, J Li, T Zhu, H Ning, IEEE Access 4, 5135-5142, 2016

29. Accelerate population-based stochastic search algorithms with memory for optima tracking on dynamic power systems, T Zhu, W Luo, C Bu, L Yue, IEEE transactions on power systems 31 (1), 268-277, 2015

中科院SCI一区

30. Dynamic optimization facilitated by the memory tree, T Zhu, W Luo, L Yue, Soft computing 19 (3), 547-566, 2015

CCF C

Projects

国家自然科学基金,青年项目,学习增强的演化灰盒动态优化算法研究

2021/01-2023/12,主持

湖南省自然科学基金委,面上项目,基于传感器和对比学习的日常活动识别研究

2023/01-2025/12,主持

物联网中物在赛博空间中的赛博物研究,中央高校基本科研业务费(北京科技大学)

2015-2017,主持

基于传感器和知识数据混合驱动方法的活动识别研究,南华大学科研启动项目

2019-2021,主持

湖南省自然科学基金委,青年项目,演化动态优化中灰盒问题的模型和算法研究

2019-01-2021-12,主持

湖南省教育厅,一般项目,老年人日常行为数据的非侵入式采集技术研究

2022-2023, 主持

国家自然科学基金委员会,面上项目,61872038,基于传感器和概率语义方法的室内日常活动识别研究

2019-01-01至2022-12-31,参与

国家自然科学基金委员会,面上项目,62071213,分数域深度压缩感知的磁共振图像重建理论及最优化设计研究

2021-01-01至2024-12-31,参与

国家自然科学基金委员会,面上项目,61774014,基于第一性原理和实验研究影响AlGaN/GaN异质结电子输运的非本征因素

2018-01-01至2021-12-31,参与