Zhi Zhou

Orcid: 0000-0002-0987-9344

Affiliations:
  • Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China


According to our database1, Zhi Zhou authored at least 140 papers between 2015 and 2024.

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Bibliography

2024
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing.
IEEE/ACM Trans. Netw., October, 2024

Taming Serverless Cold Start of Cloud Model Inference With Edge Computing.
IEEE Trans. Mob. Comput., August, 2024

Joint Power Allocation and Task Offloading for Reliability-Aware Services in NOMA-Enabled MEC.
IEEE Trans. Wirel. Commun., July, 2024

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets.
IEEE Trans. Mob. Comput., July, 2024

Computing Power Networking Meets Blockchain: A Reputation-Enhanced Trading Framework for Decentralized IoT Cloud Services.
IEEE Internet Things J., May, 2024

Joint Power Allocation and Task Replication for Reliability-Sensitive Services in NOMA-Enabled Vehicular Edge Computing.
IEEE Trans. Veh. Technol., March, 2024

Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services.
IEEE/ACM Trans. Netw., February, 2024

Learning With Side Information: Elastic Multi-Resource Control for the Open RAN.
IEEE J. Sel. Areas Commun., February, 2024

Tetris: Proactive Container Scheduling for Long-Term Load Balancing in Shared Clusters.
IEEE Trans. Serv. Comput., 2024

Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous Serverless Functions.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference.
Proceedings of the IEEE INFOCOM 2024, 2024

IMI: In-memory Multi-job Inference Acceleration for Large Language Models.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

COUPLE: Orchestrating Video Analytics on Heterogeneous Mobile Processors.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SAFE: Intelligent Online Scheduling for Collaborative DNN Inference in Vehicular Network.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
When MetaVerse Meets Computing Power Networking: An Energy-Efficient Framework For Service Placement.
IEEE Wirel. Commun., October, 2023

EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale.
IEEE Trans. Mob. Comput., October, 2023

BeeFlow: Behavior tree-based Serverless workflow modeling and scheduling for resource-constrained edge clusters.
J. Syst. Archit., October, 2023

Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets.
IEEE Internet Things J., September, 2023

Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile-Edge Computing.
IEEE Internet Things J., July, 2023

Online Control of Service Function Chainings Across Geo-Distributed Datacenters.
IEEE Trans. Mob. Comput., June, 2023

HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association.
IEEE Trans. Parallel Distributed Syst., May, 2023

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud.
IEEE Trans. Parallel Distributed Syst., March, 2023

Adaptive User-Managed Service Placement for Mobile Edge Computing via Contextual Multi-Armed Bandit Learning.
IEEE Trans. Mob. Comput., March, 2023

GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers.
IEEE J. Sel. Areas Commun., March, 2023

Guest Editorial The Nexus Between Edge Computing and AI for 6G Networks.
IEEE Trans. Netw. Sci. Eng., 2023

Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs.
CoRR, 2023

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset.
CoRR, 2023

Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets.
CoRR, 2023

Online Scheduling of CPU-NPU Co-inference for Edge AI Tasks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

QoS-aware Resource Optimization for Hierarchical Cross-Edge Video Analytics.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

COUPLE: Accelerating Video Analytics on Heterogeneous Mobile Processors.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location.
Proceedings of the IEEE INFOCOM 2023, 2023

Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency.
Proceedings of the IEEE INFOCOM 2023, 2023

DAG-Aware Optimization for Geo-Distributed Data Analytics.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

Cost-Efficient Cloud-Edge Video Analytics with Hybird IaaS and FaaS Resources.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Fair DNN Model Selection in Edge AI via A Cooperative Game Approach.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Learning to Be Green: Carbon-Aware Online Control for Edge Intelligence with Colocated Learning and Inference.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Behavior Tree-based Workflow Modeling and Scheduling for Serverless Edge Computing.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Cost-Efficient Serverless Inference Serving with Joint Batching and Multi-Processing.
Proceedings of the 14th ACM SIGOPS Asia-Pacific Workshop on Systems, 2023

2022
GreenEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems.
IEEE Trans. Veh. Technol., 2022

Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management.
IEEE Trans. Parallel Distributed Syst., 2022

Online Task Offloading for 5G Small Cell Networks.
IEEE Trans. Mob. Comput., 2022

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring.
IEEE Trans. Mob. Comput., 2022

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction.
IEEE Trans. Mob. Comput., 2022

An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing.
IEEE Trans. Mob. Comput., 2022

Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach.
IEEE Trans. Cloud Comput., 2022

λDNN: Achieving Predictable Distributed DNN Training With Serverless Architectures.
IEEE Trans. Computers, 2022

Cost-Efficient Continuous Edge Learning for Artificial Intelligence of Things.
IEEE Internet Things J., 2022

Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping.
IEEE Internet Things J., 2022

Stability and numerical analysis of backward problem for subdiffusion with time-dependent coefficients.
CoRR, 2022

Identification of potential in diffusion equations from terminal observation: analysis and discrete approximation.
CoRR, 2022

Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Edge Resource Autoscaling for Hierarchical Federated Learning Over Public Edge Platforms.
Proceedings of the IEEE Smartworld, 2022

DRL-Based Energy-Efficient Trajectory Planning, Computation Offloading, and Charging Scheduling in UAV-MEC Network.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

FedBranch: Heterogeneous Federated Learning via Multi-Branch Neural Network.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

2021
Fog-Enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing.
IEEE Trans. Veh. Technol., 2021

CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices.
IEEE/ACM Trans. Netw., 2021

Deep Reinforcement Learning With Spatio-Temporal Traffic Forecasting for Data-Driven Base Station Sleep Control.
IEEE/ACM Trans. Netw., 2021

Battery asset management with cycle life prognosis.
Reliab. Eng. Syst. Saf., 2021

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network.
IEEE Internet Things J., 2021

Age of Processing: Age-Driven Status Sampling and Processing Offloading for Edge-Computing-Enabled Real-Time IoT Applications.
IEEE Internet Things J., 2021

Boosting Edge Intelligence With Collaborative Cross-Edge Analytics.
IEEE Internet Things J., 2021

Editorial for Special Issue on Flexible Cloud and Edge for Internet-of-Things.
Trans. Emerg. Telecommun. Technol., 2021

Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping.
CoRR, 2021

Backward diffusion-wave problem: stability, regularization and approximation.
CoRR, 2021

Rationing bandwidth resources for mitigating network resource contention in distributed DNN training clusters.
CCF Trans. High Perform. Comput., 2021

Deep Reinforcement Learning for Intelligent Cloud Resource Management.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

Flying MEC: Online Task Offloading, Trajectory Planning and Charging Scheduling for UAV-Assisted MEC.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020
Edge Intelligence in the Making: Optimization, Deep Learning, and Applications
Synthesis Lectures on Learning, Networks, and Algorithms, Morgan & Claypool Publishers, ISBN: 978-3-031-02380-4, 2020

Leveraging the Power of Prediction: Predictive Service Placement for Latency-Sensitive Mobile Edge Computing.
IEEE Trans. Wirel. Commun., 2020

Incentive-Aware Micro Computing Cluster Formation for Cooperative Fog Computing.
IEEE Trans. Wirel. Commun., 2020

HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning.
IEEE Trans. Wirel. Commun., 2020

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing.
IEEE Trans. Wirel. Commun., 2020

A Truthful and Efficient Incentive Mechanism for Demand Response in Green Datacenters.
IEEE Trans. Parallel Distributed Syst., 2020

HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing.
IEEE Open J. Commun. Soc., 2020

Mobile App Usage Patterns Aware Smart Data Pricing.
IEEE J. Sel. Areas Commun., 2020

DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network.
IEEE J. Sel. Areas Commun., 2020

CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications.
IEEE Internet Things J., 2020

CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes.
IEEE Internet Things J., 2020

User review helpfulness assessment based on sentiment analysis.
Electron. Libr., 2020

Battery Asset Management with Cycle Life Prognosis.
CoRR, 2020

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network.
CoRR, 2020

Numerical Analysis of Backward Subdiffusion Problems.
CoRR, 2020

Parallel-in-time high-order BDF schemes for diffusion and subdiffusion equations.
CoRR, 2020

Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration.
CoRR, 2020

An Online Learning-Based Task Offloading Framework for 5G Small Cell Networks.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

AoI-driven Fresh Situation Awareness by UAV Swarm: Collaborative DRL-based Energy-Efficient Trajectory Control and Data Processing.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019
Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics.
IEEE Trans. Parallel Distributed Syst., 2019

DeepVR: Deep Reinforcement Learning for Predictive Panoramic Video Streaming.
IEEE Trans. Cogn. Commun. Netw., 2019

OFBG-Based Smart Double-Skin Tubular Confined-Concrete Column with Basalt FRP-Steel Composite.
Sensors, 2019

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing.
Proc. IEEE, 2019

Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things.
IEEE Netw., 2019

Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing.
IEEE J. Sel. Areas Commun., 2019

Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration.
IEEE Internet Things J., 2019

ERP: Edge Resource Pooling for Data Stream Mobile Computing.
IEEE Internet Things J., 2019

New Design of PI Regulator Circuit Based on Three-Terminal Memristors.
IEEE Access, 2019

A new Approach for the Modulus-Based Matrix Splitting Algorithms.
IEEE Access, 2019

Varied Priority-Based Data Forwarding via NDN in VANET.
Proceedings of the 2019 IEEE SmartWorld, 2019

Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning.
Proceedings of the IEEE Real-Time Systems Symposium, 2019

On-demand Privacy Preservation for Cost-Efficient Edge Intelligence Model Training.
Proceedings of the Provable Security, 2019

Predictive Online Server Provisioning for Cost-Efficient IoT Data Streaming Across Collaborative Edges.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training.
Proceedings of the 48th International Conference on Parallel Processing, 2019

GreenEdge: Greening Edge Datacenters with Energy-Harvesting IoT Devices.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

F3C: Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Predictive Service Placement in Mobile Edge Computing.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Graph Attention Spatial-Temporal Network for Deep Learning Based Mobile Traffic Prediction.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Deep reinforcement learning-driven intelligent panoramic video bitrate adaptation.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Efficient Resource Allocation for On-Demand Mobile-Edge Cloud Computing.
IEEE Trans. Veh. Technol., 2018

CloudHeat: An Efficient Online Market Mechanism for Datacenter Heat Harvesting.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

Socially-Motivated Cooperative Mobile Edge Computing.
IEEE Netw., 2018

Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing.
IEEE J. Sel. Areas Commun., 2018

<i>DeepNeuron</i>: an open deep learning toolbox for neuron tracing.
Brain Informatics, 2018

Simulation-based stochastic Programming to Guide Real-Time Scheduling for Smart Power Grids under Cyber Attacks.
Proceedings of the 2018 Winter Simulation Conference, 2018

A D2D offloading approach to efficient mobile edge resource pooling.
Proceedings of the 16th International Symposium on Modeling and Optimization in Mobile, 2018

Optimizing the Performance-Cost Tradeoff in Cross-Edge Analytics.
Proceedings of the 2018 IEEE SmartWorld, 2018

Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy.
Proceedings of the 2018 Workshop on Mobile Edge Communications, 2018

Dewing in Fog: Incentive-Aware Micro Computing Cluster Formation for Fog Computing.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

eBrowser: Making Human-Mobile Web Interactions Energy Efficient with Event Rate Learning.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

User-Centric Location Prediction in Mobile Social Networks: A Factor Graph Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2018

Automatic 3D Neuron Tracing Based on Terminations Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks.
IEEE Trans. Reliab., 2017

Ensemble Neuron Tracer for 3D Neuron Reconstruction.
Neuroinformatics, 2017

Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA.
Proceedings of the IEEE International Conference on Industrial Technology, 2017

2016
Carbon-Aware Online Control of Geo-Distributed Cloud Services.
IEEE Trans. Parallel Distributed Syst., 2016

A Coupled Memcapacitor Emulator-Based Relaxation Oscillator.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections.
Neuroinformatics, 2016

Bilateral Electricity Trade Between Smart Grids and Green Datacenters: Pricing Models and Performance Evaluation.
IEEE J. Sel. Areas Commun., 2016

Performance Analysis and Comparison of Surface and Interior Bearingless Permanent Magnet Synchronous Motors.
J. Low Power Electron., 2016

Research on The underwater vehicle radiated noise model and the linear spectrum extraction method.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

A coupled memcapacitor emulator based relaxation oscillator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

On-Demand and Reliable vSD-EON Provisioning with Correlated Data and Control Plane Embedding.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Adaptive Image Enhancement for Tracing 3D Morphologies of Neurons and Brain Vasculatures.
Neuroinformatics, 2015


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