Design and OPNET implementation of routing algorithm in 3D optical network on chip. - Qing Cai; Weigang Hou; Cunqian Yu; Pengchao Han; Lincong Zhang; Lei Guo 005 (ICCC, 2014)

Failure dependency-based protection scheme for multi-segment fiber-wireless (FiWi) access network. - Yejun Liu; Lei Guo 005; Pengchao Han; Yinpeng Yu (ICCC, 2014)

Planning of survivable cloud-integrated Wireless-Optical Broadband Access Network against distribution fiber failure. - Yinpeng Yu; Yejun Liu; Yufang Zhou; Pengchao Han (Opt. Switch. Netw., 2014)

A new virtual network embedding framework based on QoS satisfaction and network reconfiguration for fiber-wireless access network. - Pengchao Han; Lei Guo 005; Yejun Liu; Xuetao Wei; Jian Hou 006; Xu Han (ICC, 2016)

Joint wireless and optical resources allocation for availability-guaranteed service in survivable fiber-wireless access network. - Yejun Liu; Yinpeng Yu; Pengchao Han (Photonic Netw. Commun., 2016)

Survivable deployment of cloud-integrated fiber-wireless networks against multi-fiber failure. - Yinpeng Yu; Yejun Liu; Pengchao Han; Yufang Zhou (Photonic Netw. Commun., 2016)

Green virtual network embedding framework based on zooming small cells in Fiber-Wireless access network for 5G. - Pengchao Han; Lei Guo 005; Yejun Liu (ICTON, 2017)

QoS satisfaction aware and network reconfiguration enabled resource allocation for virtual network embedding in Fiber-Wireless access network. - Pengchao Han; Yejun Liu; Lei Guo 005 (Comput. Networks, 2018)

Resource-Efficiently Survivable IoT Services Provisioning via Virtual Network Embedding in Fiber-Wireless Access Network. - Yejun Liu; Pengchao Han; Jian Hou 006; Jianbo Zheng (IEEE Access, 2019)

Virtual Network Embedding in Fiber-Wireless Access Networks for Resource-Efficient IoT Service Provisioning. - Yejun Liu; Yahe Yang; Pengchao Han; Zeyu Shao; Chengming Li (IEEE Access, 2019)

Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. - Pengchao Han; Shiqiang Wang 001; Kin K. Leung (ICDCS, 2020)

VNE2: A Virtual Network Embedding Framework Based on Equivalent Bandwidth in Fiber-Wireless Enhanced 5G Networks. - Pengchao Han; Lei Guo 005; Yejun Liu (ICTON, 2020)

Capacity Analysis of Distributed Computing Systems with Multiple Resource Types. - Pengchao Han; Shiqiang Wang 001; Kin K. Leung (WCNC, 2020)

Robustness and Diversity Seeking Data-Free Knowledge Distillation. - Pengchao Han; Jihong Park; Shiqiang Wang 001; Yejun Liu (ICASSP, 2021)

Mobility-Aware Multi-Instance VNF Placement in Mobile Edge Computing Networks. - Qingyu Wei; Pengchao Han; Yejun Liu (IWCMC, 2021)

Interference-Aware Online Multicomponent Service Placement in Edge Cloud Networks and its AI Application. - Pengchao Han; Yejun Liu; Lei Guo 005 (IEEE Internet Things J., 2021)

Computation offloading in mobile edge computing networks: A survey. - Chuan Feng; Pengchao Han; Xu Zhang 017; Bowen Yang; Yejun Liu; Lei Guo 005 (J. Netw. Comput. Appl., 2022)

Energy-Efficient Service Placement Based on Equivalent Bandwidth in Cell Zooming Enabled Mobile Edge Cloud Networks. - Pengchao Han; Yejun Liu; Xu Zhang 017; Lei Guo 005 (IEEE Trans. Veh. Technol., 2022)

Incentive Mechanism Design for Distributed Ensemble Learning. - Chao Huang 028; Pengchao Han; Jianwei Huang 001 (GLOBECOM, 2023)

Lightweight Self-Knowledge Distillation with Multi-source Information Fusion. - Xucong Wang; Pengchao Han; Lei Guo 005 (CoRR, 2023)

Optimization Design for Federated Learning in Heterogeneous 6G Networks. - Bing Luo; Pengchao Han; Peng Sun 003; Xiaomin Ouyang; Jianwei Huang 001; Ningning Ding (IEEE Netw., 2023)

Cost-Minimized Computation Offloading of Online Multifunction Services in Collaborative Edge-Cloud Networks. - Chuan Feng; Pengchao Han; Xu Zhang 017; Qihan Zhang; Yue Zong; Yejun Liu; Lei Guo 005 (IEEE Trans. Netw. Serv. Manag., 2023)

Multi-Dimensional Resource Orchestration Toward Edge Intelligence in 6G Networks. - Xu Zhang 017; Pengchao Han; Chuan Feng; Tianchun Ma; Lei Guo 005 (IEEE Commun. Mag., 2023)

Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning. - Pengchao Han; Chao Huang 028; Xingyan Shi; Jianwei Huang 001; Xin Liu 002 (ICDCS, 2024)

Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization. - Pengchao Han; Shiqiang Wang 001; Yang Jiao; Jianwei Huang 001 (INFOCOM, 2024)

MCBGC: A Multi-Threshold Copyback-based Garbage Collection Scheme for 3D NAND Flash Memory. - Kang Hu; Haihua Hu; Pengchao Han; Guojun Han (NAS, 2024)

Convergence Analysis of Split Federated Learning on Heterogeneous Data. - Pengchao Han; Chao Huang; Geng Tian; Ming Tang; Xin Liu (NeurIPS, 2024)

Convergence Analysis of Split Federated Learning on Heterogeneous Data. - Pengchao Han; Chao Huang 028; Geng Tian; Ming Tang 006; Xin Liu 002 (CoRR, 2024)

Dependency-Aware Task Reconfiguration and Offloading in Multi-Access Edge Cloud Networks. - Chuan Feng; Pengchao Han; Xu Zhang 017; Qihan Zhang; Yejun Liu; Lei Guo 005 (IEEE Trans. Mob. Comput., 2024)

FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning. - Pengchao Han; Xingyan Shi; Jianwei Huang 001 (IEEE J. Sel. Areas Commun., 2024)

Cell-Less Offloading of Distributed Learning Tasks in Multi-Access Edge Computing. - Pengchao Han; Bo Liu 034; Yejun Liu; Lei Guo 005 (IEEE Trans. Mob. Comput., 2024)

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning. - Xinyang Liu; Pengchao Han; Xuan Li; Bo Liu 034 (AAAI, 2025)