简介

朱涛，男，博士，副教授，硕士生导师，IEEE高级会员。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、深度学习和全栈开发等课程。研究兴趣包括：智能感知，物联网和大语言模型等技术在健康领域，尤其是运动康复领域的应用。发表SCI/EI检索论文七十余篇，引用千余次。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

研究生培养和招生：

近三年指导的研究生多人获得国家奖学金、院学术之星，被大连理工大学、北京科技大学和英国奥斯特大学（全奖）录取攻读博士。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5年部分期刊论文

1. Hu, S., Qiu Qi., Xiao D., Deng X., Xu X., Fan P., Dai L, Hu Z., Zhu T., and Zhou Q.,. Physics-Informed Neural Network with Equation Adaption for Predicting the 220Rn Progeny Concentration,, Nuclear Science and Technique, 2025.（中科院SCI 一区）

2. Li, S., Zhu, T., Nie, M., Ning, H., Liu, Z., & Chen, L. P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer. IEEE Internet of Things Journal, PP(8), 2024 (中科院SCI一区)

3. Han, W., Zhu, T., Chen, L., Ning, H., Luo, Y., & Wan, Y.. MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer. IEEE Internet of Things Journal, 11(17), 28320–28329, 2024. (中科院SCI一区)

4. Li, S., Zhu, T., Duan, F., Chen, L., Ning, H., & Wan, Y.. HARMamba: Efficient Wearable Sensor Human Activity Recognition Based on Bidirectional Selective SSM, 2024. IEEE Internet of Things Journal, PP(8), 1. (中科院SCI一区)

5. 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)

6. 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

7. 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)

8. 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)

9. 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)

10. 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)

11. 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)

12. 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)

13. 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)

14. 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)

15. 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)

16. Duan, F., Zhu, T., Chen, L., Member, S., Ning, H., Liu, C., & Wan, Y.. SCAGOT : Semi-supervised Disentangling Context and Activity Features without Target Data for Sensor-based Human Activity Recognition. IEEE Sensors Journal, 1–15. 2025 (中科院SCI二区)

17. 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)

18. 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)

19. 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)

20. 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 (SCI)

21. 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

22. 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

23. 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)

24. 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

25. 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)

26. 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)

27. 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

28. 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

29. 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)

30. 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)

31. 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)

学术兼职

1. Chair of IEEE Smart World Technical Committee Task Force on "User-Centred Smart Systems。

2. Symmetry、Electronics、Sustainable Computing: Informatics and Systems、工程技术学报等期刊客座编辑.

3. 审稿人: IEEE TNNLS, THMS, TETCI, TIM, IOTJ, SensorsJ, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Advanced Engineering Informatics，Journal of Ambient Intelligence and Humanized Computing，Complex & Intelligent Systems，Human-centric Computing and Information Sciences，Information Sciences，Knowledge-based Systems，Neural Networks，Neurocomputing，Pervasive and Mobile Computing，，Swarm and Evolutionary Computation，Tsinghua Science and Technology……

科研项目

1. 湖南省教育厅，优秀青年项目，基于多模态传感器的老人居家活动监测与能力评估研究，2024/01-202612，主持

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

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