PhD Researcher
Huanzhuo Wu is a Ph.D. researcher at the Deutsche Telekom Chair of Communication Networks (ComNets) at TU Dresden, Germany. His work includes contributing to research projects, teaching, and supervising students of the faculty. His particular research interest is Big Data analysis on Blind Source Separation (BSS) and COmputing In the Network (COIN).
From 2017 to 2020, he worked on a research project named 5Gang, together with Ericsson, Robert Bosch GmbH, RWTH Aachen, and other key partners. He is the lead of the research project with the name of Software Campus NetBliSS starting 2021, in cooperation with Huawei Munich Research Center. Both projects are funded by the Federal Ministry of Education and Research Germany (BMBF). Huanzhuo holds a Master of Science in Computer Science at TU Dresden with honors. During his studies, he worked as a student assistant and completed internships at BMW AG in 2015 and Audi AG in 2016. He received his Bachelor degree in Engineering with honors in Computer Science in 2011 from Chang’an University, China.
Email: huanzhuo.wu(at)tu-dresden.de Office: BAR/I27
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Open Topics and SHK Positions
Master Thesis
Bachelor Thesis
StudentThesis
Hauptseminar/Oberseminar/Actual Topics
Wu, Huanzhuo; He, Jia; Weng, Jiakang; Nguyen, Giang T.; Reisslein, Martin; Fitzek, Frank H. P.
OptCDU: Optimizing the Computing Data Unit Size for COIN Journal Article
In: IEEE Transactions on Network and Service Management, vol. Early Access, pp. 1-1, 2024.
Links | BibTeX
@article{Wu24:OptCDU, title = {OptCDU: Optimizing the Computing Data Unit Size for COIN}, author = {Huanzhuo {Wu} and Jia {He} and Jiakang {Weng} and Giang T. {Nguyen} and Martin {Reisslein} and Frank H. P. {Fitzek}}, url = {https://ieeexplore.ieee.org/document/10660516}, doi = {10.1109/TNSM.2024.3452485}, year = {2024}, date = {2024-08-30}, urldate = {2024-01-01}, journal = {IEEE Transactions on Network and Service Management}, volume = {Early Access}, pages = {1-1}, keywords = {}, pubstate = {published}, tppubtype = {article} }
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Dai, Xiaobing; Wu, Huanzhuo; Wang, Siyi; Jiao, Junjie; Nguyen, Giang T.; Fitzek, Frank H. P.; Hirche, Sandra
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing Journal Article
In: IFAC-PapersOnLine, vol. 56, no. 2, pp. 8875-8882, 2023.
@article{Dai23:DualEstimation, title = {Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing}, author = {Xiaobing {Dai} and Huanzhuo {Wu} and Siyi {Wang} and Junjie {Jiao} and Giang T. {Nguyen} and Frank H. P. {Fitzek} and Sandra {Hirche}}, doi = {10.1016/j.ifacol.2023.10.087}, year = {2023}, date = {2023-07-09}, urldate = {2023-07-09}, booktitle = {International Federation of Automatic Control (IFAC) World Congress 2023}, journal = {IFAC-PapersOnLine}, volume = {56}, number = {2}, pages = {8875-8882}, address = {Yokohama, Japan}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Rezwan, Sifat; Wu, Huanzhuo; Cabrera, Juan A.; Nguyen, Giang T.; Reisslein, Martin; Fitzek, Frank H. P.
cXR+ Voxel-Based Semantic Compression for Networked Immersion Journal Article
In: IEEE Access, vol. 11, pp. 52763-52777, 2023.
@article{10132454, title = {cXR+ Voxel-Based Semantic Compression for Networked Immersion}, author = {Sifat {Rezwan} and Huanzhuo {Wu} and Juan A. {Cabrera} and Giang T. {Nguyen} and Martin {Reisslein} and Frank H. P. {Fitzek}}, doi = {10.1109/ACCESS.2023.3279503}, year = {2023}, date = {2023-05-24}, urldate = {2023-05-24}, journal = {IEEE Access}, volume = {11}, pages = {52763-52777}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Lehmann, Christopher; Rupp, Edward; Wu, Huanzhuo; Grohmann, Andreas I.; Fitzek, Frank H. P.
Multi-Purpose Messages: Intelligent Feedback Providing in Vehicular Broadcast Environment Proceedings Article
In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Male, Maldives, 2022.
@inproceedings{lehmann22:intelligentfeedback, title = {Multi-Purpose Messages: Intelligent Feedback Providing in Vehicular Broadcast Environment}, author = {Christopher {Lehmann} and Edward {Rupp} and Huanzhuo {Wu} and Andreas I. {Grohmann} and Frank H. P. {Fitzek}}, doi = { 10.1109/ICECCME55909.2022.9987966}, year = {2022}, date = {2022-11-16}, urldate = {2022-11-16}, booktitle = {International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, address = {Male, Maldives}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Wu, Huanzhuo; Tömösközi, Máté; Bassoli, Riccardo; Zhang, Jiajing; Fitzek, Frank H. P.
Experimental Proof of the Energy Advantage of In-Network Intelligence Proceedings Article
@inproceedings{huanzhuo2022experimentenergy, title = {Experimental Proof of the Energy Advantage of In-Network Intelligence}, author = {Huanzhuo {Wu} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Riccardo {Bassoli} and Jiajing {Zhang} and Frank H. P. {Fitzek}}, doi = { 10.1109/ICECCME55909.2022.9988244}, year = {2022}, date = {2022-11-16}, urldate = {2022-11-16}, booktitle = {International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, address = {Male, Maldives}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
He, Jia; Wu, Huanzhuo; Xiao, Xun; Bassoli, Riccardo; Fitzek, Frank H. P.
Functional Split of In-Network Deep Learning for 6G: A Feasibility Study Journal Article
In: IEEE Wireless Communications Magazine, vol. 29, no. 5, pp. 36–42, 2022.
@article{wu2022functionalsplit, title = {Functional Split of In-Network Deep Learning for 6G: A Feasibility Study}, author = {Jia {He} and Huanzhuo {Wu} and Xun {Xiao} and Riccardo {Bassoli} and Frank H. P. {Fitzek}}, doi = {10.1109/MWC.003.2200060}, year = {2022}, date = {2022-10-01}, urldate = {2022-10-01}, journal = {IEEE Wireless Communications Magazine}, volume = {29}, number = {5}, pages = {36\textendash42}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Ludwig, Stephan; Aschenbrenner, Doris; Scharle, Marvin; Klessig, Henrik; Karrenbauer, Michael; Wu, Huanzhuo; Taghouti, Maroua; Lozano, Pedro; Schotten, Hans D.; Fitzek, Frank H. P.
Reference Network and Localization Architecture for Smart Manufacturing based on 5G Proceedings Article
In: 6th International Conference on System-Integrated Intelligence: Intelligent, flexible and connected systems in products and production, Genova, Italy, 2022.
BibTeX
@inproceedings{sysint2022, title = {Reference Network and Localization Architecture for Smart Manufacturing based on 5G}, author = {Stephan {Ludwig} and Doris {Aschenbrenner} and Marvin {Scharle} and Henrik {Klessig} and Michael {Karrenbauer} and Huanzhuo {Wu} and Maroua {Taghouti} and Pedro {Lozano} and Hans D. {Schotten} and Frank H. P. {Fitzek}}, year = {2022}, date = {2022-09-07}, urldate = {2022-09-07}, booktitle = {6th International Conference on System-Integrated Intelligence: Intelligent, flexible and connected systems in products and production}, address = {Genova, Italy}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Zhang, Jiajing; Wu, Huanzhuo; Shen, Shiwei; Bassoli, Riccardo; Nguyen, Giang T.; Fitzek, Frank H. P.
Evaluation of an Intelligent Task Scheduling Algorithm for 6G 3D Networking Proceedings Article
In: 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022), Palermo, Italy, 2022.
@inproceedings{Zhan2206:Evaluation, title = {Evaluation of an Intelligent Task Scheduling Algorithm for 6G 3D Networking}, author = {Jiajing {Zhang} and Huanzhuo {Wu} and Shiwei {Shen} and Riccardo {Bassoli} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, doi = {10.1109/MELECON53508.2022.9842996}, year = {2022}, date = {2022-06-14}, urldate = {2022-06-14}, booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)}, address = {Palermo, Italy}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Wu, Huanzhuo; He, Jia; Tömösközi, Máté; Zhang, Jiajing; Fitzek, Frank H. P.
You Only Hear Once: Lightweight In-Network AI Design for Multi-Object Anomaly Detection Proceedings Article
@inproceedings{Wu2206:You, title = {You Only Hear Once: Lightweight In-Network AI Design for Multi-Object Anomaly Detection}, author = {Huanzhuo {Wu} and Jia {He} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Jiajing {Zhang} and Frank H. P. {Fitzek}}, doi = {10.1109/MELECON53508.2022.9842904}, year = {2022}, date = {2022-06-13}, urldate = {2022-06-13}, booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)}, address = {Palermo, Italy}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Zhang, Jiajing; Wu, Huanzhuo; Bassoli, Riccardo; Bonetto, Riccardo; Fitzek, Frank H. P.
Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid Proceedings Article
In: 2022 IEEE International Conference on Communications (ICC): Green Communication Systems and Networks Symposium (IEEE ICC'22 - GCSN Symposium), Seoul, Korea (South), 2022.
Abstract | Links | BibTeX
@inproceedings{Zhan2205:Deep, title = {Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid}, author = {Jiajing {Zhang} and Huanzhuo {Wu} and Riccardo {Bassoli} and Riccardo {Bonetto} and Frank H. P. {Fitzek}}, doi = {10.1109/ICC45855.2022.9838771}, year = {2022}, date = {2022-05-01}, urldate = {2022-05-01}, booktitle = {2022 IEEE International Conference on Communications (ICC): Green Communication Systems and Networks Symposium (IEEE ICC'22 - GCSN Symposium)}, address = {Seoul, Korea (South)}, abstract = {\"{A}pplying renewable energy in smart micro grid (MG) is increasingly receiving attention to reducing greenhouse gas emissions. However, the mismatch between supply and demand hinders the realization of this process. With the widespread use of Electrical Vehicles (EVs) and the development of emerging Mobile Edge Clouds (MECs), intelligent energy optimization becomes a way to the addressee the challenge. Therefore, in this paper, we propose a novel two-stage approach based on Deep Learning (DL) to reduce overall energy cost for sharing EVs integrated MG by forecasting its state and optimizing EVs scheduling. Our simulation results show that the joint design of forecasting and optimization reduces the overall energy consumption and the payment to the external grid."}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }