A5G Architecture for the Factory of the Future. - Stephan Ludwig; Michael Karrenbauer; Amina Fellan; Hans D. Schotten; Henning Buhr; Savita Seetaraman; Norbert Niebert; Anne Bernardy; Vasco Seelmann; Volker Stich; Andreas Hoell; Christian Stimming; et al. (ETFA, 2018)

Towards a Flexible Architecture for Industrial Networking. - Michael Karrenbauer; Amina Fellan; Hans D. Schotten; Henning Buhr; Savita Seetaraman; Norbert Niebert; Stephan Ludwig; Anne Bernardy; Vasco Seelmann; Volker Stich; Andreas Hoell; Christian Stimming; et al. (CoRR, 2018)

A 5G Architecture for The Factory of the Future. - Stephan Ludwig; Michael Karrenbauer; Amina Fellan; Hans D. Schotten; Henning Buhr; Savita Seetaraman; Norbert Niebert; Anne Bernardy; Vasco Seelmann; Volker Stich; Andreas Hoell; Christian Stimming; et al. (CoRR, 2018)

Mobile Edge Cloud for Robot Control Services in Industry Automation. - Ievgenii Anatolijovuch Tsokalo; Huanzhuo Wu; Giang T. Nguyen 002; Hani Salah; Frank H. P. Fitzek (CCNC, 2019)

Demonstration of Network Slicing for Flexible Conditional Monitoring in Industrial IoT Networks. - Huanzhuo Wu; Ievgenii Anatolijovuch Tsokalo; David Kuss; Hani Salah; Lukas Pingel; Frank H. P. Fitzek (CCNC, 2019)

Compressible Source Separation in Industrial IoT Broadband Communication. - Huanzhuo Wu; Ievgenii Anatolijovuch Tsokalo; Maroua Taghouti; Hani Salah; Frank H. P. Fitzek (ETFA, 2019)

Future industrial networking: from use cases to wireless technologies to a flexible system architecture. - Michael Karrenbauer; Stephan Ludwig; Henning Buhr; Henrik Klessig; Anne Bernardy; Huanzhuo Wu; Christoph Pallasch; Amina Fellan; Nicolai Hoffmann; Vasco Seelmann; Maroua Taghouti; Simon Wunderlich; et al. (Autom., 2019)

Y-Net: A Dual Path Model for High Accuracy Blind Source Separation. - Huanzhuo Wu; Jia He 004; Máté Tömösközi; Frank H. P. Fitzek (GLOBECOM (Workshops), 2020)

Adaptive Extraction-Based Independent Component Analysis for Time-Sensitive Applications. - Huanzhuo Wu; Yunbin Sheri; Jiajing Zhang; Hani Salah; Ievgenii A. Tsokalo; Frank H. P. Fitzek (GLOBECOM, 2020)

Component-Dependent Independent Component Analysis for Time-Sensitive Applications. - Huanzhuo Wu; Yunbin Shen; Jiajing Zhang; Ievgenii A. Tsokalo; Hani Salah; Frank H. P. Fitzek (ICC, 2020)

In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks. - Huanzhuo Wu; Jia He 004; Máté Tömösközi; Zuo Xiang; Frank H. P. Fitzek (GLOBECOM, 2021)

In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory. - Huanzhuo Wu; Yunbin Shen; Xun Xiao; Artur Hecker; Frank H. P. Fitzek (GLOBECOM, 2021)

Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis. - Huanzhuo Wu; Jia He 004; Máté Tömösközi; Frank H. P. Fitzek (ICC Workshops, 2021)

Computing Meets Network: COIN-Aware Offloading for Data-Intensive Blind Source Separation. - Huanzhuo Wu; Zuo Xiang; Giang T. Nguyen 002; Yunbin Shen; Frank H. P. Fitzek (IEEE Netw., 2021)

Bitteiler: Demonstration of Efficient and Private Massive Industrial IoT Communications. - Máté Tömösközi; Maroua Taghouti; Huanzhuo Wu; Frank H. P. Fitzek (CCNC, 2022)

Demonstration of In-Network Audio Processing for Low-Latency Anomaly Detection in Smart Factories. - Huanzhuo Wu; Yunbin Shen; Máté Tömösközi; Giang T. Nguyen 002; Frank H. P. Fitzek (CCNC, 2022)

Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid. - Jiajing Zhang; Huanzhuo Wu; Riccardo Bassoli; Riccardo Bonetto; Frank H. P. Fitzek (ICC, 2022)

Reference Network and Localization Architecture for Smart Manufacturing Based on 5G. - Stephan Ludwig; Doris Aschenbrenner; Marvin Scharle; Henrik Klessig; Michael Karrenbauer; Huanzhuo Wu; Maroua Taghouti; Pedro Tercero Lozano; Hans D. Schotten; Frank H. P. Fitzek (SYSINT, 2022)

Functional Split of In-Network Deep Learning for 6G: A Feasibility Study. - Jia He 004; Huanzhuo Wu; Xun Xiao; Riccardo Bassoli; Frank H. P. Fitzek (IEEE Wirel. Commun., 2022)

cXR+ Voxel-Based Semantic Compression for Networked Immersion. - Sifat Rezwan; Huanzhuo Wu; Juan A. Cabrera 002; Giang T. Nguyen 002; Martin Reisslein; Frank H. P. Fitzek (IEEE Access, 2023)

Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing. - Xiaobing Dai; Huanzhuo Wu; Siyi Wang; Junjie Jiao; Giang T. Nguyen 002; Frank H. P. Fitzek; Sandra Hirche (CoRR, 2023)

Accelerating Audio Data Analysis with In-Network Computing. - Huanzhuo Wu (2023)

Accelerating Industrial IoT Acoustic Data Separation With In-Network Computing. - Huanzhuo Wu; Yunbin Shen; Xun Xiao; Giang T. Nguyen 002; Artur Hecker; Frank H. P. Fitzek (IEEE Internet Things J., 2023)

OptCDU: Optimizing the Computing Data Unit Size for COIN. - Huanzhuo Wu; Jia He 004; Jiakang Weng; Giang T. Nguyen 002; Martin Reisslein; Frank H. P. Fitzek (IEEE Trans. Netw. Serv. Manag., 2024)

On Efficient Topology Management in Service-Oriented 6G Networks: An Edge Video Distribution Case Study. - Zied Ennaceur; Mounir Bensalem; Admela Jukan; Claus Keuker; Huanzhuo Wu; Rastin Pries (NOMS, 2025)

Flat UP: Toward RAN-Core Convergence for the 6G User Plane. - Hasanin Harkous; Ahan Kak; Alistair Urie; Heiko Straulino; Huanzhuo Wu; Matti Laitila; Huu-Trung Thieu; Nakjung Choi; Thierry Van De Velde; Mikko Kanerva (IEEE Commun. Mag., 2025)