Fenghao Zhu

According to our database, Fenghao Zhu authored at least 18 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations.

Bohao Wang, Zitao Shuai, Fenghao Zhu, Chongwen Huang, Yongliang Shen, Zhaoyang Zhang, Qianqian Yang, Sami Muhaidat, Mérouane Debbah

CoRR, July, 2025

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems.

Xinquan Wang, Fenghao Zhu, Zhaohui Yang, Chongwen Huang, Xiaoming Chen, Zhaoyang Zhang, Sami Muhaidat, Mérouane Debbah

CoRR, June, 2025

Robust Deep Learning-Based Physical Layer Communications: Strategies and Approaches.

Fenghao Zhu, Xinquan Wang, Chen Zhu, Tierui Gong, Zhaohui Yang, Chongwen Huang, Xiaoming Chen, Zhaoyang Zhang, Mérouane Debbah

CoRR, May, 2025

Wireless Large AI Model: Shaping the AI-Native Future of 6G and Beyond.

Fenghao Zhu, Xinquan Wang, Xinyi Li, Maojun Zhang, Yixuan Chen, Chongwen Huang, Zhaohui Yang, Xiaoming Chen, Zhaoyang Zhang, Richeng Jin, Yongming Huang, Wei Feng, Tingting Yang, Baoming Bai, Feifei Gao, Kun Yang, Yuanwei Liu, Sami Muhaidat, Chau Yuen, Kaibin Huang, Kai-Kit Wong, Dusit Niyato, Mérouane Debbah

CoRR, April, 2025

TeleMoM: Consensus-Driven Telecom Intelligence via Mixture of Models.

Xinquan Wang, Fenghao Zhu, Chongwen Huang, Zhaohui Yang, Zhaoyang Zhang, Sami Muhaidat, Chau Yuen, Mérouane Debbah

CoRR, April, 2025

Liquid Neural Networks: Next-Generation AI for Telecom from First Principles.

Fenghao Zhu, Xinquan Wang, Chen Zhu, Chongwen Huang

CoRR, April, 2025

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences.

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi, Ahmed Elbakary, Alexandros Nikou, Ali Maatouk, Ali Mokh, Amirreza Kazemi, Antonio De Domenico, Athanasios Karapantelakis, Bo Cheng, Bo Yang, Bohao Wang, Carlo Fischione, Chao Zhang, Chaouki Ben Issaid, Chau Yuen, Chenghui Peng, Chongwen Huang, Christina Chaccour, Christo Kurisummoottil Thomas, Dheeraj Sharma, Dimitris Kalogiros, Dusit Niyato, Eli De Poorter, Elissa Mhanna, Emilio Calvanese Strinati, Faouzi Bader, Fathi Abdeldayem, Fei Wang, Fenghao Zhu, Gianluca Fontanesi, Giovanni Geraci, Haibo Zhou, Hakimeh Purmehdi, Hamed Ahmadi, Hang Zou, Hongyang Du, Hoon Lee, Howard H. Yang, Iacopo Poli, Igor Carron, Ilias Chatzistefanidis, Inkyu Lee, Ioannis Pitsiorlas, Jaron Fontaine, Jiajun Wu, Jie Zeng, Jinan Li, Jinane Karam, Johny Gemayel, Juan Deng, Julien Frison, Kaibin Huang, Kehai Qiu, Keith Ball, Kezhi Wang, Kun Guo, Leandros Tassiulas, Lecorve Gwenole, Liexiang Yue, Lina Bariah, Louis Powell, Marcin Dryjanski, Maria Amparo Canaveras Galdon, Marios Kountouris, Maryam Hafeez, Maxime Elkael, Mehdi Bennis, Mehdi Boudjelli, Meiling Dai, Mérouane Debbah, Michele Polese, Mohamad Assaad, Mohamed Benzaghta, Mohammad Al Refai, Moussab Djerrab, Mubeen Syed, Muhammad Amir, Na Yan, Najla Alkaabi, Nan Li, Nassim Sehad, Navid Nikaein, Omar Hashash, Pawel Sroka, Qianqian Yang, Qiyang Zhao, Rasoul Nikbakht Silab, Rex Ying, Roberto Morabito, Rongpeng Li, Ryad Madi, Salah Eddine El Ayoubi, Salvatore D'Oro, Samson Lasaulce, Serveh Shalmashi, Sige Liu, Sihem Cherrared, Swarna Bindu Chetty

CoRR, March, 2025

2024

Robust Beamforming With Gradient-Based Liquid Neural Network.

Xinquan Wang, Fenghao Zhu, Chongwen Huang, Ahmed Alhammadi, Faouzi Bader, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah

IEEE Wirel. Commun. Lett., November, 2024

Robust Beamforming for RIS-Aided Communications: Gradient-Based Manifold Meta Learning.

Fenghao Zhu, Xinquan Wang, Chongwen Huang, Zhaohui Yang, Xiaoming Chen, Ahmed Al Hammadi, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah

IEEE Trans. Wirel. Commun., November, 2024

Beamforming Inferring by Conditional WGAN-GP for Holographic Antenna Arrays.

Fenghao Zhu, Xinquan Wang, Chongwen Huang, Ahmed Alhammadi, Hui Chen, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah

IEEE Wirel. Commun. Lett., July, 2024

Robust Continuous-Time Beam Tracking with Liquid Neural Network.

Fenghao Zhu, Xinquan Wang, Chongwen Huang, Richeng Jin, Qianqian Yang, Ahmed Alhammadi, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah

CoRR, 2024

Robust Beamforming for RIS-aided Communications: Gradient-based Manifold Meta Learning.

Fenghao Zhu, Xinquan Wang, Chongwen Huang, Zhaohui Yang, Xiaoming Chen, Ahmed Alhammadi, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah

CoRR, 2024

Multi -Sources Information Fusion Learning for Multi-Points NLOS Localization.

Bohao Wang, Fenghao Zhu, Mengbing Liu, Chongwen Huang, Qianqian Yang, Ahmed Alhammadi, Zhaoyang Zhang, Mérouane Debbah

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Energy-Efficient Beamforming for RISs-Aided Communications: Gradient Based Meta Learning.

Xinquan Wang, Fenghao Zhu, Qianyun Zhou, Qihao Yu, Chongwen Huang, Ahmed Alhammadi, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah

Proceedings of the IEEE International Conference on Communications, 2024

Robust Continuous-Time Beam Tracking with Liquid Neural Network.

Fenghao Zhu, Xinquan Wang, Chongwen Huang, Richeng Jin, Qianqian Yang, Ahmed Al Hammadi, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Robust Holographic mmWave Beamforming by Self-Supervised Hybrid Deep Learning.

Fenghao Zhu, Bohao Wang, Zhaohui Yang, Chongwen Huang, Zhaoyang Zhang, George C. Alexandropoulos, Chau Yuen, Mérouane Debbah

CoRR, 2023

Robust Millimeter Beamforming via Self-Supervised Hybrid Deep Learning.

Fenghao Zhu, Bohao Wang, Zhaohui Yang, Chongwen Huang, Zhaoyang Zhang, George C. Alexandropoulos, Chau Yuen, Mérouane Debbah

Proceedings of the 31st European Signal Processing Conference, 2023

2017

Unsupervised Representation Learning for Pulmonary Nodule Classification.

Xinyu Jin, Fenghao Zhu, Lanjuan Li, Qi Xia

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017