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张潮，博士，2022年入职中南大学计算机学院, 入选第十六批湖南省“百人计划”。 2018年博士毕业于巴黎萨克雷大学(原巴黎第十一大学)，先后在美国普林斯顿大学和巴黎萨克雷大学从事博士后研究，在阿联酋哈利法大学6G研究中心担任研究科学家。近年以第一作者或通讯作者在国际权威期刊和会议JSAC/TWC/Applied Energy/TVT/Nature Reviews Electrical Engineering等上发表了论文40余篇，与贝尔实验室等合作授权美国专利三项。多次担任IEEE WIOPT等通信国际会议的workshop联合组织主席，同时担任JSAC/TWC/TCOM/TSP等领域顶级期刊审稿人。

研究方向：1. 语义通信、任务导向通信

               2. 模型压缩（量化、剪枝）

部分近期论文：

1. C. Zhang, L. Wang, S. Lasaulce, T. Hoefler, M. Debbah, "MQLLM: an efficient mixed-precision quantization scheme for layer-wise large model compression", submitted. 

2. C. Zhang, S. Lasaulce, L. Wang, M. Debbah, "GOBS: an optimal pruning method for multiple weights removal", submitted. 

3. L. Bariah, S. Lasaulce, H. Tembine, M. Lauriere, Q. Zhu, C. Zhang, and M. Debbah, "Game Theory and Deep Learning: Fundamentals and Application", Academic Press, Elsevier, 2025. （专著）

4. C. Zhang, H. Zou, S. Lasaulce, A. I. Maass, L. Wang, Q. Zhao, D. Nesic, S. Muhaidat, and M. Debbah, "Goal-Oriented Sampling and Compression Rate Allocation for Dynamical Systems", to appear, 2025.

5. H. Mohamad, C. Zhang*, S. Lasaulce, O. Beaude, V. Varma, M. Ghogho, and V. Poor, "Value of information in games with multiple strategic consumers", to appear, 2025. 

6. H. Zou, Q. Zhao, S. Lasaulce*, C. Zhang*, Y. Tian, L. Bariah, M. Debbah, and F. Bader, "From Large LLMs to On-device LLMs and Multi-agent LLMs in 6G", Nature Review Electrical Engineering,  accepted, 2025. 

7. L. Wang, C. Zhang*, Q. Zhao, H. Zou, S. Lasaulce, G. Valenzise, Z. He, and M.  Debbah, "Generative AI for RF Sensing in IoT systems", IEEE Internet of Things Magazine, Vol. 8, No. 2, 2025. 

8. L. Bariah, A. Kabot, M. Debbah, C. Zhang, S. Lasaulce, A. Maatouk, C. Fischione, A. Kazemi, A. Nikou, C. Chaccour et al, "Large Scale AI in Telecoms: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences", 6G White Paper, Dec. 2024. 

9. Y. Sun, H. Zou*, C. Zhang*, S. Lasaulce, and M. Kieffer, "Goal-oriented compression for Lp-norm-type goal functions: Application to power consumption scheduling", Journal of the Franklin Institute, Special Issue on Semantic Signal Processing and Communications, Volume 361, Issue 10, 2024.  

10. C. Zhang, H. Zou, S. Lasaulce, W. Saad, M. Kountouris, and M. Bennis, "Goal-Oriented Communications for the IoT: A Unified View and Application to Signal Compression",  IEEE Internet of Things Magazine, Vol. 5, No. 4, 2023. 

11. H. Zou, C. Zhang*, S. Lasaulce, L. Saludjian, and H. V. Poor, "Goal-Oriented Quantization: Analysis, Design, and Application to Resource Allocation", IEEE Journal of Selected Areas in Communication, Vol. 41, No.1,  2023.

12. C. Zhang, S. Lasaulce, L. Wang, L. Saludjian, and H. V. Poor, "A refined consumer behavior model for energy systems: Application to the pricing and energy-efficiency problems,  Applied Energy, Volume 308,118239, 2022. 

13. C. Zhang, S. Lasaulce, M. Hennebel, L. Saludjian, and H. V. Poor, "Goal-Oriented Clustering: Application to Power Consumption Scheduling and Real-Time Pricing",  Applied Energy, 297(2):117106, 2022.