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)

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)

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)

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)

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)