Yifei Zhu

Orcid: 0000-0003-4352-6507

Affiliations:
  • Shanghai Jiao Tong University, UM-SJTU Joint Institute, Shanghai, China
  • Simon Fraser University, Greater Vancouver, BC, Canada (PhD 2020)


According to our database1, Yifei Zhu authored at least 77 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach.
IEEE Trans. Big Data, October, 2025

Joint Adaptation for Mobile 360-Degree Video Streaming and Enhancement.
IEEE Trans. Mob. Comput., August, 2025

NP-LLM: A Unified Large-Language-Model-Assisted Framework of 6G Network-Layer Planning.
IEEE Commun. Mag., August, 2025

Efficient Serving of LLM Applications with Probabilistic Demand Modeling.
CoRR, June, 2025

LLMSched: Uncertainty-Aware Workload Scheduling for Compound LLM Applications.
CoRR, April, 2025

Efficient Path Selection Design for Large Scale LEO Satellite Constellations Using Graph Embedding-Based Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2025

SkyML: A MLaaS Federation Design for Multicloud-Based Multimedia Analytics.
IEEE Trans. Multim., 2025

γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning.
Proceedings of the IEEE INFOCOM 2025, 2025

Federated Reinforcement Learning for Therapeutic Interventions over ICUs with Noisy Labels.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

SkyLLM: Cross-LLM-APIs Federation for Cost-effective Query Processing.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Contextual Client Selection for Efficient Federated Learning Over Edge Devices.
IEEE Trans. Mob. Comput., June, 2024

Distributionally Robust Federated Learning for Network Traffic Classification With Noisy Labels.
IEEE Trans. Mob. Comput., May, 2024

AdaDSR: Adaptive Configuration Optimization for Neural Enhanced Video Analytics Streaming.
IEEE Internet Things J., April, 2024

Collaborative Hyperspectral Image Processing Using Satellite Edge Computing.
IEEE Trans. Mob. Comput., March, 2024

Federated HD Map Updating Through Overlapping Coalition Formation Game.
IEEE Trans. Mob. Comput., February, 2024

Joint Server Selection and Handover Design for Satellite-Based Federated Learning Using Mean-Field Evolutionary Approach.
IEEE Trans. Netw. Sci. Eng., 2024

SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices.
CoRR, 2024

A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues.
CoRR, 2024

SpaceMeta: Global-Scale Massive Multi-User Virtual Interaction over LEO Satellite Constellations.
CoRR, 2024

Enabling lightweight immersive user interaction in smart buildings through learning-based mobile panorama streaming.
Comput. Commun., 2024

Towards Efficient Compound Large Language Model System Serving in the Wild.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

OAVS: Efficient Online Learning of Streaming Policies for Drone-sourced Live Video Analytics.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

PAS: Towards Accurate and Efficient Federated Learning with Parameter-Adaptive Synchronization.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications.
Proceedings of the IEEE INFOCOM 2024, 2024

DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service.
Proceedings of the IEEE INFOCOM 2024, 2024

The Space Above the Sky: Uniting Global-Scale Ground Station as a Service for Efficient Orbital Data Processing.
Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

SatFlow: Scalable Network Planning for LEO Mega-Constellations.
Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

When Zero-Trust Meets Federated Learning.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Towards Real-Time Neural Volumetric Rendering on Mobile Devices: A Measurement Study.
Proceedings of the 2024 SIGCOMM Workshop on Emerging Multimedia Systems, 2024

2023
Secure Trajectory Publication in Untrusted Environments: A Federated Analytics Approach.
IEEE Trans. Mob. Comput., November, 2023

FedAB: Truthful Federated Learning With Auction-Based Combinatorial Multi-Armed Bandit.
IEEE Internet Things J., September, 2023

Dynamic Reservation of Edge Servers via Deep Reinforcement Learning for Connected Vehicles.
IEEE Trans. Mob. Comput., May, 2023

Love of Variety Based Latency Analysis for High Definition Map Updating: Age of Information and Distributional Robust Perspectives.
IEEE Trans. Intell. Veh., February, 2023

Federated Analytics Informed Distributed Industrial IoT Learning With Non-IID Data.
IEEE Trans. Netw. Sci. Eng., 2023

Federated Inverse Reinforcement Learning for Smart ICUs With Differential Privacy.
IEEE Internet Things J., 2023

FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks.
CoRR, 2023

Comverse: A Federative-by-Design Platform for Community Computing.
CoRR, 2023

A Low Cost Cross-Platform Video/Image Process Framework Empowers Heterogeneous Edge Application.
Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video, 2023

OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos.
Proceedings of the IEEE INFOCOM 2023, 2023

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
CharmSeeker: Automated Pipeline Configuration for Serverless Video Processing.
IEEE/ACM Trans. Netw., 2022

Federated Analytics: Opportunities and Challenges.
IEEE Netw., 2022

Guest Editorial: Federated Optimizations and Networked Edge Intelligence.
IEEE Netw., 2022

LinkSlice: Fine-Grained Network Slice Enforcement Based on Deep Reinforcement Learning.
IEEE J. Sel. Areas Commun., 2022

Federated Anomaly Analytics for Local Model Poisoning Attack.
IEEE J. Sel. Areas Commun., 2022

Understanding 5G performance for real-world services: a content provider's perspective.
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Few-Shot Correlation Estimation for Cross-Camera Video Analytics: A Mean-Field Game Approach.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Personalized 360-Degree Video Streaming: A Meta-Learning Approach.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential Privacy.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach.
Proceedings of the IEEE INFOCOM 2022, 2022

FedFPM: A Unified Federated Analytics Framework for Collaborative Frequent Pattern Mining.
Proceedings of the IEEE INFOCOM 2022, 2022

Trueno: A Cross-Platform Machine Learning Model Serving Framework in Heterogeneous Edge Systems.
Proceedings of the IEEE INFOCOM 2022, 2022

Distributionally Robust Federated Learning for Differentially Private Data.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Serverless Empowered Video Analytics for Ubiquitous Networked Cameras.
IEEE Netw., 2021

Digital Twin for Federated Analytics Using a Bayesian Approach.
IEEE Internet Things J., 2021

Towards cloud-edge collaborative online video analytics with fine-grained serverless pipelines.
Proceedings of the MMSys '21: 12th ACM Multimedia Systems Conference, Istanbul, Turkey, 28 September 2021, 2021

FedACS: Federated Skewness Analytics in Heterogeneous Decentralized Data Environments.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

DeepReserve: Dynamic Edge Server Reservation for Connected Vehicles with Deep Reinforcement Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast With Deep Reinforcement Learning.
IEEE/ACM Trans. Netw., 2020

When Crowd Meets Big Video Data: Cloud-Edge Collaborative Transcoding for Personal Livecast.
IEEE Trans. Netw. Sci. Eng., 2020

Car4Pac: Last Mile Parcel Delivery Through Intelligent Car Trip Sharing.
IEEE Trans. Intell. Transp. Syst., 2020

2019
Video processing with serverless computing: a measurement study.
Proceedings of the 29th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2019

Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018
Truthful Online Auction Toward Maximized Instance Utilization in the Cloud.
IEEE/ACM Trans. Netw., 2018

Ridesharing as a Service: Exploring Crowdsourced Connected Vehicle Information for Intelligent Package Delivery.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

2017
When Cloud Meets Uncertain Crowd: An Auction Approach for Crowdsourced Livecast Transcoding.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

C2: Procuring uncertain freelancers for interactive live video transcoding.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Social media stickiness in Mobile Personal Livestreaming service.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Accelerating mobile web browsing with screen scrolling.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Efficient group labeling for multi-group RFID systems.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

HARV: Harnessing hybrid virtualization to improve instance (re)usage in public cloud.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Truthful Online Auction for Cloud Instance Subletting.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2015
Rado: A Randomized Auction Approach for Data Offloading via D2D Communication.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Rally: Device-to-Device Content Sharing in LTE Networks as a Game.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015


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