簡介
朱濤，男，博士，副教授，碩士生導師，IEEE高級會員。于中南大學和中國科學技術大學獲得計算機科學與技術專業學士、博士學位。曾任微博算法設計工程師，北京科技大學教師、博士後。主講大數據技術、機器學習、深度學習和全棧開發等課程。研究興趣包括：智能感知，物聯網和大語言模型等技術在健康領域，尤其是運動康複領域的應用。發表SCI/EI檢索論文七十餘篇，引用千餘次。主持國家級、省部級科研課題、橫向課題多項，曾獲北京市科學技術二等獎。聯系方式：tzhu{at}usc.edu.cn ({at}換成@
實驗室主頁：https://diheal.github.io/
個人谷歌學術主頁: https://scholar.google.com/citations?user=36lrywUAAAAJ
研究生培養和招生：
近三年指導的研究生多人獲得國家獎學金、院學術之星，被大連理工大學、北京科技大學和英國奧斯特大學（全獎）錄取攻讀博士。研究生要求：專業成績排名前列，編碼能力較好，喜歡學習和科研；有機器學習、物聯網和競賽背景優先，聯系請附本科成績單。
近5年部分期刊論文
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 一區）
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一區)
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一區)
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一區)
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一區)
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小類一區)
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一區)
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一區)
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一區)
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一區)
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一區)
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一區)
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一區)
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二區 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二區)
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二區)
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二區)
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二區)
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二區 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二區)
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二區，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二區)
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)
學術兼職
1. Chair of IEEE Smart World Technical Committee Task Force on "User-Centred Smart Systems。
2. Symmetry、Electronics、Sustainable Computing: Informatics and Systems、工程技術學報等期刊客座編輯.
3. 審稿人: 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……
科研項目
1. 湖南省教育廳，優秀青年項目，基于多模态傳感器的老人居家活動監測與能力評估研究，2024/01-202612，主持
2. 國家自然科學基金，青年項目，學習增強的演化灰盒動态優化算法研究，2021/01-2023/12，主持
3. 湖南省自然科學基金委，面上項目，基于傳感器和對比學習的日常活動識别研究，2023/01-2025/12，主持
4. 湖南省自然科學基金委，青年項目，演化動态優化中灰盒問題的模型和算法研究，2019-01-2021-12主持
5. 中央高校基本科研業務費（北京科技大學），物聯網中物在賽博空間中的賽博物研究，，2015-2017， 主持
6. 基于傳感器和知識數據混合驅動方法的活動識别研究，2003网站太阳集团科研啟動項目，2019-2021，主持
7. 湖南省教育廳，一般項目，老年人日常行為數據的非侵入式采集技術研究，2022-2023，主持
獲獎
超大規模數據接入采集平台關鍵技術研發及産業應用, 北京市科學技術二等獎, 2018
