Rally: Device-to-Device Content Sharing in LTE Networks as a Game. - Jingjie Jiang; Yifei Zhu 001; Bo Li 001; Baochun Li (MASS, 2015)

Rado: A Randomized Auction Approach for Data Offloading via D2D Communication. - Yifei Zhu 001; Jingjie Jiang; Bo Li 001; Baochun Li (MASS, 2015)

Truthful Online Auction for Cloud Instance Subletting. - Yifei Zhu 001; Silvery Fu; Jiangchuan Liu; Yong Cui 001 (ICDCS, 2017)

HARV: Harnessing hybrid virtualization to improve instance (re)usage in public cloud. - Silvery Fu; Yifei Zhu 001; Jiangchuan Liu (IWQoS, 2017)

Efficient group labeling for multi-group RFID systems. - Jihong Yu; Jiangchuan Liu; Lin Chen 002; Yifei Zhu 001 (IWQoS, 2017)

Accelerating mobile web browsing with screen scrolling. - Lei Zhang 066; Feng Wang 001; Jiangchuan Liu; Yifei Zhu 001 (IWQoS, 2017)

Social media stickiness in Mobile Personal Livestreaming service. - Jia Zhao 006; Ming Ma; Wei Gong 001; Lei Zhang 066; Yifei Zhu 001; Jiangchuan Liu (IWQoS, 2017)

C2: Procuring uncertain freelancers for interactive live video transcoding. - Yifei Zhu 001; Jiangchuan Liu (IWQoS, 2017)

When Cloud Meets Uncertain Crowd: An Auction Approach for Crowdsourced Livecast Transcoding. - Yifei Zhu 001; Jiangchuan Liu; Zhi Wang 001; Cong Zhang 002 (ACM Multimedia, 2017)

Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning. - Yutao Huang; Yifei Zhu 001; Xiaoyi Fan 001; Xiaoqiang Ma; Fangxin Wang 001; Jiangchuan Liu; Ziyi Wang 002; Yong Cui 001 (ICCCN, 2018)

Ridesharing as a Service: Exploring Crowdsourced Connected Vehicle Information for Intelligent Package Delivery. - Fangxin Wang 001; Yifei Zhu 001; Feng Wang 001; Jiangchuan Liu (IWQoS, 2018)

Truthful Online Auction Toward Maximized Instance Utilization in the Cloud. - Yifei Zhu 001; Silvery Fu; Jiangchuan Liu; Yong Cui 001 (IEEE/ACM Trans. Netw., 2018)

Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE. - Fangxin Wang 001; Cong Zhang 002; Feng Wang 001; Jiangchuan Liu; Yifei Zhu 001; Haitian Pang; Lifeng Sun (INFOCOM, 2019)

Video processing with serverless computing: a measurement study. - Miao Zhang 003; Yifei Zhu 001; Cong Zhang 002; Jiangchuan Liu (NOSSDAV, 2019)

Car4Pac: Last Mile Parcel Delivery Through Intelligent Car Trip Sharing. - Fangxin Wang 001; Yifei Zhu 001; Feng Wang 001; Jiangchuan Liu; Xiaoqiang Ma; Xiaoyi Fan 001 (IEEE Trans. Intell. Transp. Syst., 2020)

When Crowd Meets Big Video Data: Cloud-Edge Collaborative Transcoding for Personal Livecast. - Yifei Zhu 001; Qiyun He; Jiangchuan Liu; Bo Li 001; Yueming Hu 001 (IEEE Trans. Netw. Sci. Eng., 2020)

DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast With Deep Reinforcement Learning. - Fangxin Wang 001; Cong Zhang 002; Feng Wang 001; Jiangchuan Liu; Yifei Zhu 001; Haitian Pang; Lifeng Sun (IEEE/ACM Trans. Netw., 2020)

DeepReserve: Dynamic Edge Server Reservation for Connected Vehicles with Deep Reinforcement Learning. - Jiawei Zhang; Suhong Chen; Xudong Wang 001; Yifei Zhu 001 (INFOCOM, 2021)

FedACS: Federated Skewness Analytics in Heterogeneous Decentralized Data Environments. - Zibo Wang 001; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (IWQoS, 2021)

Towards cloud-edge collaborative online video analytics with fine-grained serverless pipelines. - Miao Zhang 003; Fangxin Wang 001; Yifei Zhu 001; Jiangchuan Liu; Zhi Wang 001 (MMSys, 2021)

Digital Twin for Federated Analytics Using a Bayesian Approach. - Dawei Chen; Dan Wang 002; Yifei Zhu 001; Zhu Han 001 (IEEE Internet Things J., 2021)

Serverless Empowered Video Analytics for Ubiquitous Networked Cameras. - Miao Zhang 003; Fangxin Wang 001; Yifei Zhu 001; Jiangchuan Liu; Bo Li 001 (IEEE Netw., 2021)

Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance. - Chen Tang; Kai Ouyang; Zhi Wang 001; Yifei Zhu 001; Wen Ji; Yaowei Wang 001; Wenwu Zhu 001 (ECCV (11), 2022)

Distributionally Robust Federated Learning for Differentially Private Data. - Siping Shi; Chuang Hu; Dan Wang 002; Yifei Zhu 001; Zhu Han 001 (ICDCS, 2022)

Trueno: A Cross-Platform Machine Learning Model Serving Framework in Heterogeneous Edge Systems. - Danyang Song; Yifei Zhu 001; Cong Zhang 002; Jiangchuan Liu (INFOCOM Workshops, 2022)

FedFPM: A Unified Federated Analytics Framework for Collaborative Frequent Pattern Mining. - Zibo Wang 001; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (INFOCOM, 2022)

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach. - Shuzhao Xie; Yuan Xue; Yifei Zhu 001; Zhi Wang 001 (INFOCOM, 2022)

FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy. - Qiying Pan; Yifei Zhu 001 (KDD, 2022)

Personalized 360-Degree Video Streaming: A Meta-Learning Approach. - Yiyun Lu; Yifei Zhu 001; Zhi Wang 001 (ACM Multimedia, 2022)

Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach. - Chen Tang; Haoyu Zhai; Kai Ouyang; Zhi Wang 001; Yifei Zhu 001; Wenwu Zhu 001 (ACM Multimedia, 2022)

Few-Shot Correlation Estimation for Cross-Camera Video Analytics: A Mean-Field Game Approach. - Kaiyang Chen; Yifei Zhu 001; Yuhan Kang; Zhu Han 001 (PIMRC, 2022)

Understanding 5G performance for real-world services: a content provider's perspective. - Xinjie Yuan; Mingzhou Wu; Zhi Wang 001; Yifei Zhu 001; Ming Ma; Junjian Guo; Zhi-Li Zhang; Wenwu Zhu 001 (SIGCOMM, 2022)

Federated Anomaly Analytics for Local Model Poisoning Attack. - Siping Shi; Chuang Hu; Dan Wang 002; Yifei Zhu 001; Zhu Han 001 (IEEE J. Sel. Areas Commun., 2022)

LinkSlice: Fine-Grained Network Slice Enforcement Based on Deep Reinforcement Learning. - Tianxin Wang; Suhong Chen; Yifei Zhu 001; Aimin Tang; Xudong Wang 001 (IEEE J. Sel. Areas Commun., 2022)

Guest Editorial: Federated Optimizations and Networked Edge Intelligence. - Dan Wang 002; Zhu Han 001; Ekram Hossain 001; Yifei Zhu 001; Choong Seon Hong; Zhijin Qin (IEEE Netw., 2022)

Federated Analytics: Opportunities and Challenges. - Dan Wang 002; Siping Shi; Yifei Zhu 001; Zhu Han 001 (IEEE Netw., 2022)

CharmSeeker: Automated Pipeline Configuration for Serverless Video Processing. - Miao Zhang 003; Yifei Zhu 001; Jiangchuan Liu; Feng Wang 001; Fangxin Wang 001 (IEEE/ACM Trans. Netw., 2022)

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices. - Qiying Pan; Yifei Zhu 001; Lingyang Chu (ICDE, 2023)

OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos. - Miao Zhang 003; Yifei Zhu 001; Linfeng Shen; Fangxin Wang 001; Jiangchuan Liu (INFOCOM, 2023)

A Low Cost Cross-Platform Video/Image Process Framework Empowers Heterogeneous Edge Application. - Danyang Song; Cong Zhang 002; Yifei Zhu 001; Jiangchuan Liu (NOSSDAV, 2023)

Comverse: A Federative-by-Design Platform for Community Computing. - Silvery Fu; Dylan Reimer; Siyuan Dong; Yifei Zhu 001; Sylvia Ratnasamy (CoRR, 2023)

FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks. - Qiying Pan; Ruofan Wu; Tengfei Liu; Tianyi Zhang; Yifei Zhu 001; Weiqiang Wang 002 (CoRR, 2023)

Federated Inverse Reinforcement Learning for Smart ICUs With Differential Privacy. - Wei Gong 001; Linxiao Cao; Yifei Zhu 001; Fang Zuo; Xin He; Haoquan Zhou (IEEE Internet Things J., 2023)

Federated Analytics Informed Distributed Industrial IoT Learning With Non-IID Data. - Zibo Wang 001; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Love of Variety Based Latency Analysis for High Definition Map Updating: Age of Information and Distributional Robust Perspectives. - Dawei Chen; Yifei Zhu 001; Dan Wang 002; Haoxin Wang; Jiang Xie 001; Xiao-Ping Zhang 002; Zhu Han 001 (IEEE Trans. Intell. Veh., 2023)

Dynamic Reservation of Edge Servers via Deep Reinforcement Learning for Connected Vehicles. - Jiawei Zhang; Suhong Chen; Xudong Wang 001; Yifei Zhu 001 (IEEE Trans. Mob. Comput., 2023)

FedAB: Truthful Federated Learning With Auction-Based Combinatorial Multi-Armed Bandit. - Chenrui Wu 002; Yifei Zhu 001; Rongyu Zhang; Yun Chen; Fangxin Wang 001; Shuguang Cui (IEEE Internet Things J., 2023)

Secure Trajectory Publication in Untrusted Environments: A Federated Analytics Approach. - Zibo Wang 001; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (IEEE Trans. Mob. Comput., 2023)

Towards Real-Time Neural Volumetric Rendering on Mobile Devices: A Measurement Study. - Zhe Wang; Yifei Zhu 001 (EMS@SIGCOMM, 2024)

When Zero-Trust Meets Federated Learning. - Xinran Zhang; Dan Wang 002; Yifei Zhu 001; Weilong Chen; Zheng Chang 001; Zhu Han 001 (GLOBECOM, 2024)

SatFlow: Scalable Network Planning for LEO Mega-Constellations. - Sheng Cen; Qiying Pan; Yifei Zhu 001; Bo Li 001 (ICNP, 2024)

The Space Above the Sky: Uniting Global-Scale Ground Station as a Service for Efficient Orbital Data Processing. - Heng Zhao; Sheng Cen; Yifei Zhu 001 (ICNP, 2024)

DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service. - Yu Liu; Zibo Wang 001; Yifei Zhu 001; Chen Chen 067 (INFOCOM, 2024)

Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications. - Zibo Wang 001; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (INFOCOM, 2024)

PAS: Towards Accurate and Efficient Federated Learning with Parameter-Adaptive Synchronization. - Zuo Gan; Chen Chen 067; Jiayi Zhang 006; Gaoxiong Zeng; Yifei Zhu 001; Jieru Zhao; Quan Chen 002; Minyi Guo (IWQoS, 2024)

OAVS: Efficient Online Learning of Streaming Policies for Drone-sourced Live Video Analytics. - Zekai Li; Miao Zhang 003; Yifei Zhu 001 (IWQoS, 2024)

Towards Efficient Compound Large Language Model System Serving in the Wild. - Yifei Zhu 001; Botao Zhu; Chen Chen 067; Xiaoyi Fan 001 (IWQoS, 2024)

Enabling lightweight immersive user interaction in smart buildings through learning-based mobile panorama streaming. - Chi Xu 004; Zhengzhe Li; Guo Qing Huai; Jia Zhao 006; Yifei Zhu 001; Xiaoqiang Ma; Haiyang Wang (Comput. Commun., 2024)

SpaceMeta: Global-Scale Massive Multi-User Virtual Interaction over LEO Satellite Constellations. - Jiahe Huang; Yifei Zhu 001 (CoRR, 2024)

A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues. - Zibo Wang 001; Haichao Ji; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (CoRR, 2024)

SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices. - Linxiao Cao; Yifei Zhu 001; Wei Gong 001 (CoRR, 2024)

Joint Server Selection and Handover Design for Satellite-Based Federated Learning Using Mean-Field Evolutionary Approach. - Yuhan Kang; Yifei Zhu 001; Dan Wang 002; Zhu Han 001; Tamer Basar (IEEE Trans. Netw. Sci. Eng., 2024)

Federated HD Map Updating Through Overlapping Coalition Formation Game. - Siping Shi; Chuang Hu; Dan Wang 002; Yifei Zhu 001; Zhu Han 001 (IEEE Trans. Mob. Comput., 2024)

Collaborative Hyperspectral Image Processing Using Satellite Edge Computing. - Botao Zhu; Siyuan Lin; Yifei Zhu 001; Xudong Wang 001 (IEEE Trans. Mob. Comput., 2024)

AdaDSR: Adaptive Configuration Optimization for Neural Enhanced Video Analytics Streaming. - Sheng Cen; Miao Zhang 003; Yifei Zhu 001; Jiangchuan Liu (IEEE Internet Things J., 2024)

Distributionally Robust Federated Learning for Network Traffic Classification With Noisy Labels. - Siping Shi; Yingya Guo; Dan Wang 002; Yifei Zhu 001; Zhu Han 001 (IEEE Trans. Mob. Comput., 2024)

Contextual Client Selection for Efficient Federated Learning Over Edge Devices. - Qiying Pan; Hangrui Cao; Yifei Zhu 001; Jiangchuan Liu; Bo Li 001 (IEEE Trans. Mob. Comput., 2024)

SkyLLM: Cross-LLM-APIs Federation for Cost-effective Query Processing. - Heng Zhao; Yifei Zhu 001 (ACL (Findings), 2025)

Federated Reinforcement Learning for Therapeutic Interventions over ICUs with Noisy Labels. - Linxiao Cao; Yifei Zhu 001; Haoquan Zhou; Shilei Tan; Wei Gong 001 (CSCWD, 2025)

γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning. - Rongwei Lu; Yutong Jiang; Jinrui Zhang; Chunyang Li; Yifei Zhu 001; Bin Chen 011; Zhi Wang 001 (INFOCOM, 2025)

SkyML: A MLaaS Federation Design for Multicloud-Based Multimedia Analytics. - Shuzhao Xie; Yuan Xue; Yifei Zhu 001; Zhi Wang 001 (IEEE Trans. Multim., 2025)

Efficient Path Selection Design for Large Scale LEO Satellite Constellations Using Graph Embedding-Based Reinforcement Learning. - Yuhan Kang; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (IEEE Trans. Netw. Sci. Eng., 2025)

LLMSched: Uncertainty-Aware Workload Scheduling for Compound LLM Applications. - Botao Zhu; Chen Chen 067; Xiaoyi Fan 001; Yifei Zhu 001 (CoRR, 2025)

Efficient Serving of LLM Applications with Probabilistic Demand Modeling. - Yifei Liu; Zuo Gan; Zhenghao Gan; Weiye Wang; Chen Chen 067; Yizhou Shan; Xusheng Chen; Zhenhua Han; Yifei Zhu 001; Shixuan Sun; Minyi Guo (CoRR, 2025)

NP-LLM: A Unified Large-Language-Model-Assisted Framework of 6G Network-Layer Planning. - Sheng Cen; Yifei Zhu 001 (IEEE Commun. Mag., 2025)

Joint Adaptation for Mobile 360-Degree Video Streaming and Enhancement. - Haotian Guo; Feng Wang 001; Wei Zhang 074; Yifei Zhu 001; Laizhong Cui; Jiangchuan Liu; Fei Richard Yu; Lei Zhang 066 (IEEE Trans. Mob. Comput., 2025)

Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach. - Zibo Wang 001; Yifei Zhu 001; Dan Wang 002; Zhu Han 001 (IEEE Trans. Big Data, 2025)