Measurements Study on the I/O Performance of Virtualized Cloud System. - Lingjun Pu; Jingdong Xu; Xing Jin; Ying Wu 006; Jianzhong Zhang 003 (NAS, 2012)

SmartVirtCloud: Virtual cloud assisted application offloading execution at mobile devices' discretion. - Lingjun Pu; Jingdong Xu; Xing Jin; Jianzhong Zhang 003 (WCNC, 2013)

sNDN: A Social-aware Named Data Framework for Cooperative Content Retrieval via D2D Communications. - Lingjun Pu; Xu Chen 004; Jingdong Xu; Xiaoming Fu 001 (MobiArch, 2015)

Crowdlet: Optimal worker recruitment for self-organized mobile crowdsourcing. - Lingjun Pu; Xu Chen 004; Jingdong Xu; Xiaoming Fu 001 (INFOCOM, 2016)

D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration. - Lingjun Pu; Xu Chen 004; Jingdong Xu; Xiaoming Fu 001 (IEEE J. Sel. Areas Commun., 2016)

Crowd Foraging: A QoS-Oriented Self-Organized Mobile Crowdsourcing Framework Over Opportunistic Networks. - Lingjun Pu; Xu Chen 004; Jingdong Xu; Xiaoming Fu 001 (IEEE J. Sel. Areas Commun., 2017)

Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing. - Xu Chen 004; Lingjun Pu; Lin Gao 001; Weigang Wu; Di Wu 001 (IEEE Wirel. Commun., 2017)

Multiple Granularity Online Control of Cloudlet Networks for Edge Computing. - Lei Jiao 002; Lingjun Pu; Lin Wang 015; Xiaojun Lin 001; Jun Li 001 (SECON, 2018)

U-MEC: Energy-Efficient Mobile Edge Computing for IoT Applications in Ultra Dense Networks. - Bowen Yu 005; Lingjun Pu; Qinyi Xie; Jingdong Xu; Jianzhong Zhang 003 (WASA, 2018)

Energy efficient scheduling for IoT applications with offloading, user association and BS sleeping in ultra dense networks. - Bowen Yu 005; Lingjun Pu; Qinyi Xie; Jingdong Xu (WiOpt, 2018)

Online Resource Allocation, Content Placement and Request Routing for Cost-Efficient Edge Caching in Cloud Radio Access Networks. - Lingjun Pu; Lei Jiao 002; Xu Chen 004; Lin Wang 015; Qinyi Xie; Jingdong Xu (IEEE J. Sel. Areas Commun., 2018)

Matryoshka: Joint Resource Scheduling for Cost-Efficient MEC in NGFI-Based C-RAN. - Mengyao Sun; Lingjun Pu; Jianzhong Zhang 003; Jingdong Xu (ICC, 2019)

An SDN-Based QoS Guaranteed Mechanism for Geospatial Flows. - Feilong Huang; Jianzhong Zhang 003; Jingdong Xu; Yiran Shao; Lingjun Pu (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Themis: Efficient and Adaptive Resource Partitioning for Reducing Response Delay in Cloud Gaming. - Yusen Li; Haoyuan Liu; Xiwei Wang; Lingjun Pu; Trent G. Marbach; Shanjiang Tang; Gang Wang 001; Xiaoguang Liu 001 (ACM Multimedia, 2019)

Adaptive Fuzzy Game-based Energy Efficient Localization in Underwater Sensor Networks. - Yali Yuan; Chencheng Liang; Megumi Kaneko; Lingjun Pu; Xiaoming Fu 001 (SIGCOMM Posters and Demos, 2019)

Chimera: An Energy-Efficient and Deadline-Aware Hybrid Edge Computing Framework for Vehicular Crowdsensing Applications. - Lingjun Pu; Xu Chen 004; Guoqiang Mao; Qinyi Xie; Jingdong Xu (IEEE Internet Things J., 2019)

Content Retrieval at the Edge: A Social-Aware and Named Data Cooperative Framework. - Lingjun Pu; Xu Chen 004; Jingdong Xu; Xiaoming Fu 001 (IEEE Trans. Emerg. Top. Comput., 2019)

Allies: Tile-Based Joint Transcoding, Delivery and Caching of 360° Videos in Edge Cloud Networks. - Jianxin Shi; Lingjun Pu; Jingdong Xu (CLOUD, 2020)

Tile-based Multi-source Adaptive Streaming for 360-degree Ultra-High-Definition Videos. - Xinjing Yuan; Lingjun Pu; Ruilin Yun; Jingdong Xu (MSN, 2020)

QoS Optimization of DNN Serving Systems Based on Per-Request Latency Characteristics. - Jianfeng Zhang; Wensheng Zhang; Lingjun Pu; Jingdong Xu (MSN, 2020)

Cocktail: Cost-efficient and Data Skew-aware Online In-Network Distributed Machine Learning for Intelligent 5G and Beyond. - Lingjun Pu; Xu Chen 004; Ruilin Yun; Xinjing Yuan; Pan Zhou 001; Jingdong Xu (CoRR, 2020)

CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes. - Zhi Zhou 006; Song Yang 002; Lingjun Pu; Shuai Yu 001 (IEEE Internet Things J., 2020)

Dynamic Component Placement and Request Scheduling for IoT Big Data Streaming. - Yuan Zhang 013; Jinyao Yan; Lingjun Pu; Shiyu Chen (IEEE Internet Things J., 2020)

EC-360: Speeding Up 360° Video Streaming Using Tile-based Online Erasure Coding. - Jianxin Shi; Lingjun Pu; Tian Zhang; Jingdong Xu (GLOBECOM, 2021)

Explore the Impact of Cellular Resource Allocation on Mobile UHD Video Streaming over 5G UDN. - Xinjing Yuan; Lingjun Pu; Xiaohang Xu 004; Jingdong Xu (WCNC, 2021)

Streaming-Aware Cellular Resource Allocation for UHD Video Streaming over Ultra Dense Network. - Xinjing Yuan; Lingjun Pu; Xiaohang Xu 004; Yuwei Xu; Jingdong Xu (WCNC, 2021)

QoE-Aware 3D Video Streaming via Deep Reinforcement Learning in Software Defined Networking Enabled Mobile Edge Computing. - Pan Zhou 001; Yulai Xie; Ben Niu 001; Lingjun Pu; Zichuan Xu; Hao Jiang 010; Huawei Huang (IEEE Trans. Netw. Sci. Eng., 2021)

Sophon: Super-Resolution Enhanced 360° Video Streaming with Visual Saliency-aware Prefetch. - Jianxin Shi; Lingjun Pu; Xinjing Yuan; Qianyun Gong; Jingdong Xu (ACM Multimedia, 2022)

Adaptive Progressive Image Enhancement for Edge-Assisted Mobile Vision. - Daipeng Feng; Liekang Zeng; Lingjun Pu; Xu Chen 004 (MSN, 2022)

Cost-Efficient and Skew-Aware Data Scheduling for Incremental Learning in 5G Networks. - Lingjun Pu; Xinjing Yuan; Xiaohang Xu 004; Xu Chen 004; Pan Zhou 001; Jingdong Xu (IEEE J. Sel. Areas Commun., 2022)

Reinforcement Learning-Based Resource Partitioning for Improving Responsiveness in Cloud Gaming. - Yusen Li; Xiwei Wang; Haoyuan Liu; Lingjun Pu; Shanjiang Tang; Gang Wang 001; Xiaoguang Liu 001 (IEEE Trans. Computers, 2022)

An Edge Computing-Based Photo Crowdsourcing Framework for Real-Time 3D Reconstruction. - Shuai Yu 001; Xu Chen 004; Shuai Wang 004; Lingjun Pu; Di Wu 001 (IEEE Trans. Mob. Comput., 2022)

When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework. - Xinjing Yuan; Lingjun Pu; Lei Jiao 002; Xiaofei Wang; Meijuan Yang; Jingdong Xu (IWQoS, 2023)

Orchestrating Blockchain with Decentralized Federated Learning in Edge Networks. - Yibo Jin 001; Lei Jiao 002; Zhuzhong Qian; Ruiting Zhou; Lingjun Pu (SECON, 2023)

QoE-Oriented Mobile Virtual Reality Game in Distributed Edge Networks. - Yuan Zhang 013; Lingjun Pu; Tao Lin 001; Jinyao Yan (IEEE Trans. Multim., 2023)

Muster: Multi-Source Streaming for Tile-Based 360° Videos Within Cloud Native 5G Networks. - Xinjing Yuan; Lingjun Pu; Jianxin Shi; Qianyun Gong; Jingdong Xu (IEEE Trans. Mob. Comput., 2023)

TailClip: Mitigating Tail Latency in Cloud Gaming via Smart Video Frame Generation. - Qianyun Gong; Kunheng Jiang; Jingjing Wen; Xinjing Yuan; Jianxin Shi; Lingjun Pu (ICME, 2024)

Towards Full-scene Volumetric Video Streaming via Spatially Layered Representation and NeRF Generation. - Jianxin Shi; Miao Zhang 003; Linfeng Shen; Jiangchuan Liu; Yuan Zhang 013; Lingjun Pu; Jingdong Xu (NOSSDAV, 2024)

nHAS: Neural-Compensated Hybrid Adaptive Scheduling for Cloud Gaming. - Qianyun Gong; Jiapei Xu; Jianxin Shi; Xinjing Yuan; Jingdong Xu; Guanyu Gao; Lingjun Pu (NPC (1), 2024)

: Erasure-Coded Multi-Source Streaming for UHD Videos Within Cloud Native 5G Networks. - Lingjun Pu; Jianxin Shi; Xinjing Yuan; Xu Chen 004; Lei Jiao 002; Tian Zhang; Jingdong Xu (IEEE Trans. Mob. Comput., 2024)

To Distill or Not to Distill: Toward Fast, Accurate, and Communication-Efficient Federated Distillation Learning. - Yuan Zhang 013; Wenlong Zhang; Lingjun Pu; Tao Lin 001; Jinyao Yan (IEEE Internet Things J., 2024)

${ sf NetDPI}$NetDPI: Efficient Deep Packet Inspection via Filtering-Plus-Verification in Programmable 5G Data Plane for Multi-Access Edge Computing. - Chengjin Zhou; Qiao Xiang; Lingjun Pu; Zheli Liu; Yuan Zhang 013; Xinjing Yuan; Jingdong Xu (IEEE Trans. Mob. Comput., 2024)

Bimodal Semantic-Driven 3D Immersive Telepresence System. - Jiakun Li; Yuan Zhang 013; Lingjun Pu; Tao Lin 001; Jinyao Yan (NOSSDAV, 2025)

Toward sustainable diffusion-based AIGC: Design and online orchestration in distributed edge networks. - Fei Wang 136; Lei Jiao 002; Konglin Zhu; Lingjun Pu; Lin Zhang 013 (Comput. Networks, 2025)

Towards Neural Codec-Empowered 360$^ circ$ Video Streaming: A Saliency-Aided Synergistic Approach. - Jianxin Shi; Miao Zhang 003; Linfeng Shen; Jiangchuan Liu; Lingjun Pu; Jingdong Xu (IEEE Trans. Multim., 2025)