User ID Routing Architecture. - Hong Li; Chenghui Peng; Bojie Li; Yuhua Chen; Wei Zhang; Jianjun Wu; Hua Huang (IEEE Veh. Technol. Mag., 2010)

UNA: a new internet architecture for user-level multi-homing and mobility. - You Wang 004; Jun Bi; Chenghui Peng; Hongyu Hu (CFI, 2011)

A multimedia service migration protocol for single user multiple devices. - Chi-Yu Li 001; Ioannis Pefkianakis; Bojie Li; Chenghui Peng; Wei Zhang; Songwu Lu (ICC, 2012)

Global Resolution Service for mobility support in the internet. - You Wang 004; Jun Bi; Chenghui Peng (ICNP, 2012)

SDN-enabled converged networks. - Wei Tan; Jinfang Zhang; Chenghui Peng; Bin Xia 001; Yajun Kou (IEEE Wirel. Commun., 2014)

5G wireless network: MyNET and SONAC. - Hang Zhang 014; Sophie Vrzic; Gamini Senarath; Ngoc-Dung Dào; Hamid Farmanbar; Jaya Rao; Chenghui Peng; Hongcheng Zhuang (IEEE Netw., 2015)

Selection and Dimensioning of Slice-Based RAN Controller for Adaptive Radio Resource Management. - Emmanouil Pateromichelakis; Chenghui Peng (WCNC, 2017)

LAA as a Key Enabler in Slice-Aware 5G RAN: Challenges and Opportunities. - Emmanouil Pateromichelakis; Ömer Bulakci; Chenghui Peng; Jiayin Zhang; Yuan Xia (IEEE Commun. Stand. Mag., 2018)

Network AI Management & Orchestration: A Federated Multi-task Learning Case. - Rongpeng Li; Wenliang Liang; Chenghui Peng; Xueli An; Zhifeng Zhao; Honggang Zhang 001 (GLOBECOM (Workshops), 2021)

Convergence analysis and Design principle for Federated learning in Wireless network. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (GLOBECOM, 2021)

Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms. - Jianjun Wu; Rongpeng Li; Xueli An; Chenghui Peng; Zhe Liu 001; Jon Crowcroft; Honggang Zhang 001 (CoRR, 2021)

How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (CoRR, 2021)

Convergence Analysis and System Design for Federated Learning Over Wireless Networks. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (IEEE J. Sel. Areas Commun., 2021)

How Global Observation embedding in Vertical-Horizontal Federated Learning. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief (IWCMC, 2022)

HFedMTL: Hierarchical Federated Multi-Task Learning. - Xingfu Yi; Rongpeng Li; Chenghui Peng; Jianjun Wu; Zhifeng Zhao (PIMRC, 2022)

ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling. - Zheqi Zhu; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (CoRR, 2022)

Semantic Communication With Adaptive Universal Transformer. - Qingyang Zhou; Rongpeng Li; Zhifeng Zhao; Chenghui Peng; Honggang Zhang 001 (IEEE Wirel. Commun. Lett., 2022)

Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles. - Xiaoxue Yu; Rongpeng Li; Fei Wang 004; Chenghui Peng; Chengchao Liang; Zhifeng Zhao; Honggang Zhang 001 (GLOBECOM, 2023)

Enhanced Federated Learning on Non-Iid Data via Local Importance Sampling. - Zheqi Zhu; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (ICC Workshops, 2023)

FedLP: Layer-Wise Pruning Mechanism for Communication-Computation Efficient Federated Learning. - Zheqi Zhu; Yuchen Shi; Jiajun Luo; Fei Wang; Chenghui Peng; Pingyi Fan; Khaled B. Letaief (ICC, 2023)

Stochastic Graph Neural Network-Based Value Decomposition for Multi-Agent Reinforcement Learning in Urban Traffic Control. - Baidi Xiao; Rongpeng Li; Fei Wang 004; Chenghui Peng; Jianjun Wu; Zhifeng Zhao; Honggang Zhang 001 (VTC2023-Spring, 2023)

Towards Native Support for Federated Learning in 6G. - Mohammad Bariq Khan; Xueli An; Chenghui Peng (WCNC, 2023)

FedNC: A Secure and Efficient Federated Learning Method Inspired by Network Coding. - Yuchen Shi; Zheqi Zhu; Pingyi Fan; Khaled B. Letaief; Chenghui Peng (CoRR, 2023)

RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning. - Xingfu Yi; Rongpeng Li; Chenghui Peng; Fei Wang 004; Jianjun Wu; Zhifeng Zhao (CoRR, 2023)

NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services. - Yuxuan Chen; Rongpeng Li; Zhifeng Zhao; Chenghui Peng; Jianjun Wu; Ekram Hossain 001; Honggang Zhang 001 (CoRR, 2023)

Ten issues of NetGPT. - Wen Tong; Chenghui Peng; Tingting Yang 001; Fei Wang 004; Juan Deng; Rongpeng Li; Lu Yang 003; Honggang Zhang 001; Dong Wang 047; Ming Ai; Li Yang; Guangyi Liu 001; et al. (CoRR, 2023)

How Global Observation Works in Federated Learning: Integrating Vertical Training Into Horizontal Federated Learning. - Shuo Wan; Jiaxun Lu; Pingyi Fan; Yunfeng Shao 001; Chenghui Peng; Khaled B. Letaief; Jie Chuai (IEEE Internet Things J., 2023)

Towards Efficient Federated Learning: Layer-Wise Pruning-Quantization Scheme and Coding Design. - Zheqi Zhu; Yuchen Shi; Gangtao Xin; Chenghui Peng; Pingyi Fan; Khaled B. Letaief (Entropy, 2023)

6G Network AI Architecture for Everyone-Centric Customized Services. - Yang Yang 001; Mulei Ma; Hequan Wu; Quan Yu; Xiaohu You 001; Jianjun Wu; Chenghui Peng; Tak-Shing Peter Yum; A. Hamid Aghvami; Geoffrey Ye Li; Jiangzhou Wang; Guangyi Liu 001; et al. (IEEE Netw., 2023)

Integrated Communication and Computing Maritime Networks Design for Green Metaverse. - Tingting Yang 001; Zhengqi Cui; Chenghui Peng; Jianjun Wu; Fangming Liu; Yang Yang 001 (IEEE Wirel. Commun., 2023)

Towards Efficient Federated Learning Framework via Selective Aggregation of Models. - Yuchen Shi; Pingyi Fan; Zheqi Zhu; Chenghui Peng; Fei Wang; Khaled B. Letaief (ICC Workshops, 2024)

Deep Conditional Generative Semantic Communication for Image Transmission. - Gangtao Xin; Pingyi Fan; Khaled B. Letaief; Chenghui Peng (ICC Workshops, 2024)

A Peaceman-Rachford Splitting Approach with Deep Equilibrium Network for Channel Estimation. - Dingli Yuan; Shitong Wu; Haoran Tang; Lu Yang 003; Chenghui Peng (ICCT, 2024)

QML-IB: Quantized Collaborative Intelligence between Multiple Devices and the Mobile Network. - Jingchen Peng; Boxiang Ren; Lu Yang 003; Chenghui Peng; Panpan Niu; Hao Wu 060 (ISIT, 2024)

FedNC: A Secure and Efficient Federated Learning Method with Network Coding. - Yuchen Shi; Zheqi Zhu; Pingyi Fan; Khaled B. Letaief; Chenghui Peng (WCNC, 2024)

ISFL: Federated Learning for Non-i.i.d. Data With Local Importance Sampling. - Zheqi Zhu; Yuchen Shi; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (IEEE Internet Things J., 2024)

Stochastic Graph Neural Network-Based Value Decomposition for MARL in Internet of Vehicles. - Baidi Xiao; Rongpeng Li; Fei Wang 004; Chenghui Peng; Jianjun Wu; Zhifeng Zhao; Honggang Zhang 001 (IEEE Trans. Veh. Technol., 2024)

Task-Oriented 6G Native-AI Network Architecture. - Yang Yang 001; Jianjun Wu; Tianjiao Chen; Chenghui Peng; Jun Wang 012; Juan Deng; Xiaofeng Tao; Guangyi Liu 001; Wenjing Li 001; Li Yang; Yufeng He; Tingting Yang 001; et al. (IEEE Netw., 2024)

Learning Channel Capacity With Neural Mutual Information Estimator Based on Message Importance Measure. - Zhefan Li; Rui She 001; Pingyi Fan; Chenghui Peng; Khaled B. Letaief (IEEE Trans. Commun., 2024)

SAM: An Efficient Approach With Selective Aggregation of Models in Federated Learning. - Yuchen Shi; Pingyi Fan; Zheqi Zhu; Chenghui Peng; Fei Wang; Khaled B. Letaief (IEEE Internet Things J., 2024)

RHFedMTL: Resource-Aware Hierarchical Federated Multitask Learning. - Xingfu Yi; Rongpeng Li; Chenghui Peng; Fei Wang 004; Jianjun Wu; Zhifeng Zhao (IEEE Internet Things J., 2024)

NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services. - Yuxuan Chen; Rongpeng Li; Zhifeng Zhao; Chenghui Peng; Jianjun Wu; Ekram Hossain 001; Honggang Zhang 001 (IEEE Netw., 2024)

Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities. - Qimei Cui; Xiaohu You 001; Wei Ni 001; Guoshun Nan; Xuefei Zhang; Jianhua Zhang 001; Xinchen Lyu; Ming Ai; Xiaofeng Tao; Zhiyong Feng 001; Ping Zhang 003; Qingqing Wu 001; et al. (Sci. China Inf. Sci., 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 001; Bo Yang 035; et al. (CoRR, 2025)

Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G. - Xiaoxue Yu; Xingfu Yi; Rongpeng Li; Fei Wang 004; Chenghui Peng; Zhifeng Zhao; Honggang Zhang 001 (IEEE Commun. Mag., 2025)