个人简介

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。发表SCI/EI检索论文七十余篇，引用近千次。主持国家级、省部级科研课题、横向课题多项，曾获北京市科学技术二等奖。联系方式：tzhu{at}usc.edu.cn ({at}换成@

实验室主页：https://diheal.github.io/

个人谷歌学术主页: https://scholar.google.com/citations?user=36lrywUAAAAJ

研究生招生：

研究生要求：专业成绩排名前列，编码能力较好，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。

近年来部分论文

1. HARMamba: Efficient wearable sensor human activity recognition based on bidirectional selective ssm, S Li, T Zhu, F Duan, L Chen, H Ning, Y Wan, arXiv preprint arXiv:2403.20183, 2024

2. MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer, W Han, T Zhu, L Chen, H Ning, Y Luo, Y Wan, arXiv preprint arXiv:2403.09223, 2024

3. P2LHAP: Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer, S Li, T Zhu, M Nie, H Ning, Z Liu, L Chen, arXiv preprint arXiv:2403.08214, 2024

4. 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, 2024 (中科院SCI二区)

5. An Improved Masking Strategy for Self-supervised Masked Reconstruction in Human Activity Recognition, J Wang, W Cui, T Zhu, H Ning, Z Liu, IEEE Sensors Journal, 2024 (中科院SCI二区)

6. Skin Conductance-Based Acupoint and Non-Acupoint Recognition Using Machine Learning, F Shi, H Ning, R Xiao, T Zhu, N Li, IEEE Journal of Biomedical and Health Informatics, 2024 (中科院SCI二区)

7. PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition, C Zhang, T Zhu, H Wu, H Ning, Cluster Computing, 1-16, 2024

8. 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)

9. 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)

10. 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)

11. 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

12. 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)

13. 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

14. 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

15. 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)

16. 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)

17. 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)

18. 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)

19. 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)

20. 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

21. On Followers Search, L Ni, W Luo, T Zhu, P Xu, IEEE Transactions on Computational Social Systems 8 (5), 1068-1082, 2021 (中科院SCI二区)

22. 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)

23. 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

24. 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)

25. 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

26. 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)

27. 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)

28. 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)

29. 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)

30. 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

31. 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)

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

33. 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

34. 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

35. 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)

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

学术兼职

Chair of IEEE Smart World Technical Committee Task Force on "User-Centred Smart Systems，. PC co-chair of IEEE Digital Twin 2023

审稿

1. Advanced Engineering Informatics（中科院一区），Journal of Ambient Intelligence and Humanized Computing，Complex & Intelligent Systems，Human-centric Computing and Information Sciences，IEEE Internet of Things Journal（中科院一区），IEEE Sensors Journal，IEEE Transactions on Emerging Topics in Computational Intelligence，IEEE Transactions on Human-Machine Systems，Information Sciences（中科院一区），Knowledge-based Systems（中科院一区），Neural Networks（中科院一区），Neurocomputing，Pervasive and Mobile Computing，Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies（CCF A），Swarm and Evolutionary Computation（中科院一区），Tsinghua Science and Technology（中科院一区）……

科研项目

1. 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

2. 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

3. 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

4. 中央高校基本科研业务费（北京科技大学），物联网中物在赛博空间中的赛博物研究，，2015-2017， 主持

5. 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

6. 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

获奖

超大规模数据接入采集平台关键技术研发及产业应用, 北京市科学技术二等奖, 2018