Ce ZHENG (Chris)
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Ce ZHENG (Chris), |
Welcome to my homepage. I am an assistant researcher at the Department of Network Intelligence in Pengcheng Lab .
Before joining Pengcheng Lab, I worked as a wireless researcher/research scientist in Wireless Network Research Department, led by Dr. Chen SUN, Research and Development Center (China Laboratory), SONY. In SONY, I also served as a 3GPP SA2 delegate in SONY.
I received my bachelor's degree from Harbin Institute of Technology in 2013 and my master's degree from Xi'an Jiaotong University in 2016, respectively. Thanks to my supervisors Prof. Laurent CLAVIER and Dr. Malcolm EGAN, I defended my Ph.D thesis "Impulsive and Dependent Interference in IoT Networks" on 8th December, 2020. During my Ph.D, I was also supervised by Prof. Jean-Marie GORCE and Prof. Gareth W. Peters. In 2019, I got a chance to visit Aalborg University, hosted by Prof. Troels PEDERSEN and Prof. Petar POPOVSKI.
My Ph.D. work includes impulsive and dependent interference (alpha-stable distribution and copula theory) and stochastic geometry.
My research in SONY focuses on Federated Learning (FL), D2D sidelink, Vehicle Mound Relay (VMR), etc.
I am currently focusing on the combination of Large Language Models (LLM) and Networking!
News
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01/2026, Our paper "Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks" is accepted in IEEE Wireless Communications and Networking Conference (WCNC) 2026.
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12/2025, Our paper "Fast Collaborative Inference via Distributed Speculative Decoding" is accepted in Journal of Information and Intelligence 2026.
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09/2025, Our paper "Communication-Efficient Collaborative LLM Inference via Distributed Speculative Decoding" is accepted in IEEE Wireless Communications and Signal Processing.
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07/2025, Congratuations on Jiahong Ning for winning the "ICML student travel grant"!
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06/2025, Our paper "DSSD:Efficient Edge-Device Deployment and Collaborative Inference via Distributed Split Speculative Decoding" is accepted in IEEE ICML Workshop 2025!
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05/2025, Our paper "DeAOff: Dependence-aware offloading of decoder-based generative models for edge computing" is accepted in China Communications 2025.
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03/2025, Our paper "EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks." is accepted in IEEE INFOCOM Workshop 2025.
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09/2024, I am working in the Pengcheng Lab as an assistant researcher/professor now!
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01/2024, I just completed the course "Generative AI for Everyone" on Coursera.
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07/2023, with Qiong LIU and Chenhao WANG, I have a paper Distributed Decisions on Optimal Load Balancing in Loss Networks accepted to WiOPT, 2023.
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01/2023, our paper "A General Solution for Straggler Effect and Unreliable Communication in Federated Learning" is accepted in IEEE International Conference on Communications (ICC) 2023.
Contact
E-mail: zhengc@pcl.ac.cn
chriszhengce123@163.com
chriszhengce123@gmail.com
Phone:(+86) 13335281561; (+33) 06 19 02 31 59
Department of Network Intelligence, Pengcheng Lab
Github: chriszhengce
Google Scholar: chriszhengce
Motto
Life can only be understood backwards, but it must be lived forwards. Life is not a problem to be solved, but a reality to be experienced. The secret source of Humor itself is not joy but sorrow. There is no humor in heaven.