Adaptive Image Enhancement for Tracing 3D Morphologies of Neurons and Brain Vasculatures. - Zhi Zhou 006; Staci A. Sorensen; Hongkui Zeng; Michael Hawrylycz; Hanchuan Peng (Neuroinformatics, 2015)

On-Demand and Reliable vSD-EON Provisioning with Correlated Data and Control Plane Embedding. - Jie Yin; Heqing Yin; Siqi Liu 004; Zhi Zhou 006; Xiaoliang Chen; Zuqing Zhu (GLOBECOM, 2016)

A coupled memcapacitor emulator based relaxation oscillator. - Dongsheng Yu; Zhi Zhou 006; Herbert H. C. Iu; Tyrone Fernando (ISCAS, 2016)

Research on The underwater vehicle radiated noise model and the linear spectrum extraction method. - Zhi Zhou 006; Yong-sheng Zhu (URAI, 2016)

Performance Analysis and Comparison of Surface and Interior Bearingless Permanent Magnet Synchronous Motors. - Xiaodong Sun 001; Shuai Luo; Zhi Zhou 006; Long Chen 003; Zebin Yang (J. Low Power Electron., 2016)

Bilateral Electricity Trade Between Smart Grids and Green Datacenters: Pricing Models and Performance Evaluation. - Zhi Zhou 006; Fangming Liu; Zongpeng Li (IEEE J. Sel. Areas Commun., 2016)

TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections. - Zhi Zhou 006; Xiaoxiao Liu; Brian Long; Hanchuan Peng (Neuroinformatics, 2016)

A Coupled Memcapacitor Emulator-Based Relaxation Oscillator. - Dongsheng Yu; Zhi Zhou 006; Herbert Ho-Ching Iu; Tyrone Fernando; Yihua Hu 004 (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Carbon-Aware Online Control of Geo-Distributed Cloud Services. - Zhi Zhou 006; Fangming Liu; Ruolan Zou; Jiangchuan Liu; Hong Xu 001; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2016)

Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA. - Ye Wang 006; Yuanjiang Huang; Wu Zheng; Zhi Zhou 006; Debin Liu; Mi Lu (ICIT, 2017)

Ensemble Neuron Tracer for 3D Neuron Reconstruction. - Ching-Wei Wang; Yu-Ching Lee; Hilmil Pradana; Zhi Zhou 006; Hanchuan Peng (Neuroinformatics, 2017)

Predictive Resilience Analysis of Complex Systems Using Dynamic Bayesian Networks. - Nita Yodo; Pingfeng Wang; Zhi Zhou 006 (IEEE Trans. Reliab., 2017)

Automatic 3D Neuron Tracing Based on Terminations Detection. - Chao Wang 072; Weixun Chen; Min Liu 008; Zhi Zhou 006 (BIBM, 2018)

User-Centric Location Prediction in Mobile Social Networks: A Factor Graph Learning Approach. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Liang Chen 009 (GLOBECOM, 2018)

eBrowser: Making Human-Mobile Web Interactions Energy Efficient with Event Rate Learning. - Fei Xu; Shuai Yang; Zhi Zhou 006; Jia Rao (ICDCS, 2018)

Dewing in Fog: Incentive-Aware Micro Computing Cluster Formation for Fog Computing. - Siqi Luo; Zhi Zhou 006; Xiang Chen 007; Weigang Wu (ICPADS, 2018)

Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy. - En Li; Zhi Zhou 006; Xu Chen 004 (MECOMM@SIGCOMM, 2018)

Optimizing the Performance-Cost Tradeoff in Cross-Edge Analytics. - Lin Jia; Zhi Zhou 006; Hai Jin 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

A D2D offloading approach to efficient mobile edge resource pooling. - Junkai Liu; Ke Luo; Zhi Zhou 006; Xu Chen 004 (WiOpt, 2018)

Simulation-based stochastic Programming to Guide Real-Time Scheduling for Smart Power Grids under Cyber Attacks. - Yuan Yi; Wei Xie; Zhi Zhou 006 (WSC, 2018)

DeepNeuron: an open deep learning toolbox for neuron tracing. - Zhi Zhou 006; Hsien-Chi Kuo; Hanchuan Peng; Fuhui Long (Brain Informatics, 2018)

Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing. - Tao Ouyang; Zhi Zhou 006; Xu Chen 004 (IEEE J. Sel. Areas Commun., 2018)

Socially-Motivated Cooperative Mobile Edge Computing. - Xu Chen 004; Zhi Zhou 006; Weigang Wu; Di Wu 001; Junshan Zhang (IEEE Netw., 2018)

CloudHeat: An Efficient Online Market Mechanism for Datacenter Heat Harvesting. - Shutong Chen; Zhi Zhou 006; Fangming Liu; Zongpeng Li; Shaolei Ren (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018)

Efficient Resource Allocation for On-Demand Mobile-Edge Cloud Computing. - Xu Chen 004; Wenzhong Li; Sanglu Lu; Zhi Zhou 006; Xiaoming Fu 001 (IEEE Trans. Veh. Technol., 2018)

Deep reinforcement learning-driven intelligent panoramic video bitrate adaptation. - Gongwei Xiao; Xu Chen 004; Muhong Wu; Zhi Zhou 006 (ACM TUR-C, 2019)

Graph Attention Spatial-Temporal Network for Deep Learning Based Mobile Traffic Prediction. - Kaiwen He; Yufen Huang; Xu Chen 004; Zhi Zhou 006; Shuai Yu 001 (GLOBECOM, 2019)

Predictive Service Placement in Mobile Edge Computing. - Huirong Ma; Zhi Zhou 006; Xu Chen 004 (ICCC, 2019)

F3C: Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing. - Siqi Luo; Xu Chen 004; Zhi Zhou 006 (ICDCS, 2019)

GreenEdge: Greening Edge Datacenters with Energy-Harvesting IoT Devices. - Zhi Zhou 006 (ICNP, 2019)

Cynthia: Cost-Efficient Cloud Resource Provisioning for Predictable Distributed Deep Neural Network Training. - Haoyue Zheng; Fei Xu; Li Chen 019; Zhi Zhou 006; Fangming Liu (ICPP, 2019)

Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing. - Bin Gao; Zhi Zhou 006; Fangming Liu; Fei Xu (INFOCOM, 2019)

Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach. - Tao Ouyang; Rui Li 062; Xu Chen 004; Zhi Zhou 006; Xin Tang (INFOCOM, 2019)

Predictive Online Server Provisioning for Cost-Efficient IoT Data Streaming Across Collaborative Edges. - Zhi Zhou 006; Xu Chen 004; Weigang Wu; Di Wu 001; Junshan Zhang (MobiHoc, 2019)

On-demand Privacy Preservation for Cost-Efficient Edge Intelligence Model Training. - Zhi Zhou 006; Xu Chen 004 (ProvSec, 2019)

Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning. - Tao Ouyang; Xu Chen 004; Liekang Zeng; Zhi Zhou 006 (RTSS, 2019)

Varied Priority-Based Data Forwarding via NDN in VANET. - Siyang Wang; Weigang Wu; Zhi Zhou 006 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A new Approach for the Modulus-Based Matrix Splitting Algorithms. - Wenpeng Wang; Zhi Zhou 006; S. A. Edalatpanah 001; Seyyed Esmaeil Najafi (IEEE Access, 2019)

New Design of PI Regulator Circuit Based on Three-Terminal Memristors. - Zhenglong Xia; Zhi Zhou 006; Josep M. Guerrero; Qiang Zhao (IEEE Access, 2019)

ERP: Edge Resource Pooling for Data Stream Mobile Computing. - Junkai Liu; Ke Luo; Zhi Zhou 006; Xu Chen 004 (IEEE Internet Things J., 2019)

Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Liang Chen 009 (IEEE Internet Things J., 2019)

Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing. - Zhi Zhou 006; Qiong Wu 009; Xu Chen 004 (IEEE J. Sel. Areas Commun., 2019)

Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things. - Liekang Zeng; En Li; Zhi Zhou 006; Xu Chen 004 (IEEE Netw., 2019)

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing. - Zhi Zhou 006; Xu Chen 004; En Li; Liekang Zeng; Ke Luo; Junshan Zhang (Proc. IEEE, 2019)

OFBG-Based Smart Double-Skin Tubular Confined-Concrete Column with Basalt FRP-Steel Composite. - Yung William Sasy Chan; Zhi Zhou 006; Wanqiu Liu; Jinping Ou (Sensors, 2019)

DeepVR: Deep Reinforcement Learning for Predictive Panoramic Video Streaming. - Gongwei Xiao; Muhong Wu; Qian Shi 001; Zhi Zhou 006; Xu Chen 004 (IEEE Trans. Cogn. Commun. Netw., 2019)

Cost-Effective Cloud Server Provisioning for Predictable Performance of Big Data Analytics. - Fei Xu; Haoyue Zheng; Huan Jiang; Wujie Shao; Haikun Liu; Zhi Zhou 006 (IEEE Trans. Parallel Distributed Syst., 2019)

AoI-driven Fresh Situation Awareness by UAV Swarm: Collaborative DRL-based Energy-Efficient Trajectory Control and Data Processing. - Wen Fan; Ke Luo; Shuai Yu 001; Zhi Zhou 006; Xu Chen 004 (ICCC, 2020)

An Online Learning-Based Task Offloading Framework for 5G Small Cell Networks. - Xueying Zhang; Ruiting Zhou; Zhi Zhou 006; John C. S. Lui; Zongpeng Li (ICPP, 2020)

FPGA-Based Neural Network Acceleration for Handwritten Digit Recognition. - Guobin Shen; Jindong Li 001; Zhi Zhou 006; Xiang Chen 007 (IoTaaS, 2020)

Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration. - Yuan Yi; Wei Xie; Zhi Zhou 006; Keqi Wang (CoRR, 2020)

Parallel-in-time high-order BDF schemes for diffusion and subdiffusion equations. - Shuonan Wu; Zhi Zhou 006 (CoRR, 2020)

Numerical Analysis of Backward Subdiffusion Problems. - Zhengqi Zhang; Zhi Zhou 006 (CoRR, 2020)

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network. - Shuai Yu 001; Xu Chen 004; Zhi Zhou 006; Xiaowen Gong; Di Wu 001 (CoRR, 2020)

Battery Asset Management with Cycle Life Prognosis. - Xinyang Liu; Pingfeng Wang; Esra Büyüktahtakin Toy; Zhi Zhou 006 (CoRR, 2020)

User review helpfulness assessment based on sentiment analysis. - Ziming Zeng; Zhi Zhou 006; Xiangming Mu (Electron. Libr., 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)

CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications. - Zhi Zhou 006; Shuai Yu 001; Wuhui Chen; Xu Chen 004 (IEEE Internet Things J., 2020)

DeepCP: Deep Learning Driven Cascade Prediction-Based Autonomous Content Placement in Closed Social Network. - Qiong Wu 009; Muhong Wu; Xu Chen 004; Zhi Zhou 006; Kaiwen He; Liang Chen 009 (IEEE J. Sel. Areas Commun., 2020)

Mobile App Usage Patterns Aware Smart Data Pricing. - Jieli Yin; Yali Fan; Tong Xia; Yong Li 008; Xiang Chen 007; Zhi Zhou 006; Xu Chen 004 (IEEE J. Sel. Areas Commun., 2020)

HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing. - Deyin Liu; Xu Chen 004; Zhi Zhou 006; Qing Ling 001 (IEEE Open J. Commun. Soc., 2020)

A Truthful and Efficient Incentive Mechanism for Demand Response in Green Datacenters. - Zhi Zhou 006; Fangming Liu; Shutong Chen; Zongpeng Li (IEEE Trans. Parallel Distributed Syst., 2020)

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing. - En Li; Liekang Zeng; Zhi Zhou 006; Xu Chen 004 (IEEE Trans. Wirel. Commun., 2020)

HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning. - Siqi Luo; Xu Chen 004; Qiong Wu 009; Zhi Zhou 006; Shuai Yu 001 (IEEE Trans. Wirel. Commun., 2020)

Incentive-Aware Micro Computing Cluster Formation for Cooperative Fog Computing. - Siqi Luo; Xu Chen 004; Zhi Zhou 006; Xiang Chen 007; Weigang Wu (IEEE Trans. Wirel. Commun., 2020)

Leveraging the Power of Prediction: Predictive Service Placement for Latency-Sensitive Mobile Edge Computing. - Huirong Ma; Zhi Zhou 006; Xu Chen 004 (IEEE Trans. Wirel. Commun., 2020)

Edge Intelligence in the Making: Optimization, Deep Learning, and Applications - Sen Lin 001; Zhi Zhou 006; Zhaofeng Zhang; Xu Chen 004; Junshan Zhang (Edge Intelligence in the Making, 2020)

Flying MEC: Online Task Offloading, Trajectory Planning and Charging Scheduling for UAV-Assisted MEC. - Qian Wei; Tao Ouyang; Zhi Zhou 006; Xu Chen 004 (ICA3PP (1), 2021)

ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing. - Peng Huang; Liekang Zeng; Ke Luo; Jinhong Guo; Zhi Zhou 006; Xu Chen 004 (ICCC, 2021)

Deep Reinforcement Learning for Intelligent Cloud Resource Management. - Zhi Zhou 006; Ke Luo; Xu Chen 004 (INFOCOM Workshops, 2021)

Rationing bandwidth resources for mitigating network resource contention in distributed DNN training clusters. - Qiang Qi; Fei Xu; Li Chen 019; Zhi Zhou 006 (CCF Trans. High Perform. Comput., 2021)

Backward diffusion-wave problem: stability, regularization and approximation. - Zhengqi Zhang; Zhi Zhou 006 (CoRR, 2021)

Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping. - Peng Huang; Liekang Zeng; Xu Chen 004; Ke Luo; Zhi Zhou 006; Shuai Yu 001 (CoRR, 2021)

Editorial for Special Issue on Flexible Cloud and Edge for Internet-of-Things. - Deze Zeng; Ruidong Li 001; Zhi Zhou 006; Ruiting Zhou; Rami Langar; Md. Zakirul Alam Bhuiyan (Trans. Emerg. Telecommun. Technol., 2021)

Boosting Edge Intelligence With Collaborative Cross-Edge Analytics. - Hai Jin 001; Lin Jia; Zhi Zhou 006 (IEEE Internet Things J., 2021)

Age of Processing: Age-Driven Status Sampling and Processing Offloading for Edge-Computing-Enabled Real-Time IoT Applications. - Rui Li 062; Qian Ma 002; Jie Gong; Zhi Zhou 006; Xu Chen 004 (IEEE Internet Things J., 2021)

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network. - Shuai Yu 001; Xu Chen 004; Zhi Zhou 006; Xiaowen Gong; Di Wu 001 (IEEE Internet Things J., 2021)

Battery asset management with cycle life prognosis. - Xinyang Liu; Zhuoyuan Zheng; I. Esra Büyüktahtakin; Zhi Zhou 006; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2021)

Deep Reinforcement Learning With Spatio-Temporal Traffic Forecasting for Data-Driven Base Station Sleep Control. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Liang Chen 009; Junshan Zhang (IEEE/ACM Trans. Netw., 2021)

CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices. - Liekang Zeng; Xu Chen 004; Zhi Zhou 006; Lei Yang 001; Junshan Zhang (IEEE/ACM Trans. Netw., 2021)

Fog-Enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing. - Siqi Luo; Xu Chen 004; Zhi Zhou 006; Shuai Yu 001 (IEEE Trans. Veh. Technol., 2021)

FedBranch: Heterogeneous Federated Learning via Multi-Branch Neural Network. - Jialuo Cui; Qiong Wu 009; Zhi Zhou 006; Xu Chen 004 (ICCC, 2022)

DRL-Based Energy-Efficient Trajectory Planning, Computation Offloading, and Charging Scheduling in UAV-MEC Network. - Qian Wei; Zhi Zhou 006; Xu Chen 004 (ICCC, 2022)

Edge Resource Autoscaling for Hierarchical Federated Learning Over Public Edge Platforms. - Mingliao Zhao; Kongyange Zhao; Zhi Zhou 006; Xu Chen 004 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. - Liekang Zeng; Peng Huang; Ke Luo; Xiaoxi Zhang 001; Zhi Zhou 006; Xu Chen 004 (WWW, 2022)

Identification of potential in diffusion equations from terminal observation: analysis and discrete approximation. - Zhengqi Zhang; Zhidong Zhang; Zhi Zhou 006 (CoRR, 2022)

Stability and numerical analysis of backward problem for subdiffusion with time-dependent coefficients. - Zhengqi Zhang; Zhi Zhou 006 (CoRR, 2022)

Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping. - Peng Huang; Liekang Zeng; Xu Chen 004; Ke Luo; Zhi Zhou 006; Shuai Yu 001 (IEEE Internet Things J., 2022)

Cost-Efficient Continuous Edge Learning for Artificial Intelligence of Things. - Lin Jia; Zhi Zhou 006; Fei Xu; Hai Jin 001 (IEEE Internet Things J., 2022)

λDNN: Achieving Predictable Distributed DNN Training With Serverless Architectures. - Fei Xu; Yiling Qin; Li Chen 019; Zhi Zhou 006; Fangming Liu (IEEE Trans. Computers, 2022)

Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach. - Rui Li 062; Zhi Zhou 006; Xu Chen 004; Qing Ling 001 (IEEE Trans. Cloud Comput., 2022)

An Online Framework for Joint Network Selection and Service Placement in Mobile Edge Computing. - Bin Gao; Zhi Zhou 006; Fangming Liu; Fei Xu; Bo Li 001 (IEEE Trans. Mob. Comput., 2022)

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction. - Kaiwen He; Xu Chen 004; Qiong Wu 009; Shuai Yu 001; Zhi Zhou 006 (IEEE Trans. Mob. Comput., 2022)

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring. - Qiong Wu 009; Xu Chen 004; Zhi Zhou 006; Junshan Zhang (IEEE Trans. Mob. Comput., 2022)

Online Task Offloading for 5G Small Cell Networks. - Ruiting Zhou; Xueying Zhang; Shixin Qin; John C. S. Lui; Zhi Zhou 006; Hao Huang 001; Zongpeng Li (IEEE Trans. Mob. Comput., 2022)

Joint Application Placement and Request Routing Optimization for Dynamic Edge Computing Service Management. - Rui Li 062; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2022)

GreenEdge: Joint Green Energy Scheduling and Dynamic Task Offloading in Multi-Tier Edge Computing Systems. - Huirong Ma; Peng Huang; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (IEEE Trans. Veh. Technol., 2022)

Cost-Efficient Serverless Inference Serving with Joint Batching and Multi-Processing. - Shen Cai; Zhi Zhou 006; Kongyange Zhao; Xu Chen 004 (APSys, 2023)

Behavior Tree-based Workflow Modeling and Scheduling for Serverless Edge Computing. - Ke Luo; Tao Ouyang; Zhi Zhou 006; Xu Chen 004 (ICDCS, 2023)

Learning to Be Green: Carbon-Aware Online Control for Edge Intelligence with Colocated Learning and Inference. - Shuomiao Su; Zhi Zhou 006; Tao Ouyang; Ruiting Zhou; Xu Chen 004 (ICDCS, 2023)

Fair DNN Model Selection in Edge AI via A Cooperative Game Approach. - Jiajie Xie; Zhi Zhou 006; Tao Ouyang; Xiaoxi Zhang 001; Xu Chen 004 (ICDCS, 2023)

Cost-Efficient Cloud-Edge Video Analytics with Hybird IaaS and FaaS Resources. - Jing Peng; Zhi Zhou 006; Kongyange Zhao; Huirong Ma; Xu Chen 004 (ICPADS, 2023)

DAG-Aware Optimization for Geo-Distributed Data Analytics. - Qingyuan Wang 005; Bin Gao; Zhi Zhou 006; Fei Xu; Chenghao Ouyang (ICPP, 2023)

Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (INFOCOM Workshops, 2023)

Dynamic Edge-centric Resource Provisioning for Online and Offline Services Co-location. - Tao Ouyang; Kongyange Zhao; Xiaoxi Zhang 001; Zhi Zhou 006; Xu Chen 004 (INFOCOM, 2023)

AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2023)

spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud. - Ruitao Shang; Fei Xu; Zhuoyan Bai; Li Chen 019; Zhi Zhou 006; Fangming Liu (IWQoS, 2023)

A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning. - Tianxiang Zhu; Xiaoxi Zhang 001; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2023)

COUPLE: Accelerating Video Analytics on Heterogeneous Mobile Processors. - Hao Bao; Zhi Zhou 006; Jiajie Xie; Qianyi Huang; Fei Xu; Xu Chen 004 (MobiCom, 2023)

RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge. - Tianyu Zeng; Xiaoxi Zhang 001; Daipeng Feng; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (MSN, 2023)

QoS-aware Resource Optimization for Hierarchical Cross-Edge Video Analytics. - Kongyange Zhao; Zhi Zhou 006; Tao Ouyang; Mingliao Zhao; Hao Wang; Xu Chen 004 (SECON, 2023)

Online Scheduling of CPU-NPU Co-inference for Edge AI Tasks. - Xiancheng Lin; Rongkai Liu; Jiajie Xie; Qian Wei; Zhi Zhou 006; Xu Chen 004; Zhilan Huang; Gang Lu (WCNC, 2023)

Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets. - Huirong Ma; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (CoRR, 2023)

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (CoRR, 2023)

Guest Editorial The Nexus Between Edge Computing and AI for 6G Networks. - Zhi Zhou 006; Dusit Niyato; Zehui Xiong; Xiaowen Gong; Walid Saad; Xiaoming Fu 001 (IEEE Trans. Netw. Sci. Eng., 2023)

GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers. - Liekang Zeng; Chongyu Yang; Peng Huang; Zhi Zhou 006; Shuai Yu 001; Xu Chen 004 (IEEE J. Sel. Areas Commun., 2023)

Adaptive User-Managed Service Placement for Mobile Edge Computing via Contextual Multi-Armed Bandit Learning. - Tao Ouyang; Xu Chen 004; Zhi Zhou 006; Rui Li 062; Xin Tang (IEEE Trans. Mob. Comput., 2023)

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. - Fei Xu; Jianian Xu; Jiabin Chen; Li Chen 019; Ruitao Shang; Zhi Zhou 006; Fangming Liu (IEEE Trans. Parallel Distributed Syst., 2023)

HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association. - Qiong Wu 009; Xu Chen 004; Tao Ouyang; Zhi Zhou 006; Xiaoxi Zhang 001; Shusen Yang; Junshan Zhang (IEEE Trans. Parallel Distributed Syst., 2023)

Online Control of Service Function Chainings Across Geo-Distributed Datacenters. - Song Yang 002; Fan Li 001; Zhi Zhou 006; Xu Chen 004; Yu Wang 003; Xiaoming Fu 001 (IEEE Trans. Mob. Comput., 2023)

Reliability-Aware Online Scheduling for DNN Inference Tasks in Mobile-Edge Computing. - Huirong Ma; Rui Li 062; Xiaoxi Zhang 001; Zhi Zhou 006; Xu Chen 004 (IEEE Internet Things J., 2023)

Toward Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets. - Huirong Ma; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (IEEE Internet Things J., 2023)

BeeFlow: Behavior tree-based Serverless workflow modeling and scheduling for resource-constrained edge clusters. - Ke Luo; Tao Ouyang; Zhi Zhou 006; Xu Chen 004 (J. Syst. Archit., 2023)

EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale. - Kongyange Zhao; Zhi Zhou 006; Xu Chen 004; Ruiting Zhou; Xiaoxi Zhang 001; Shuai Yu 001; Di Wu 001 (IEEE Trans. Mob. Comput., 2023)

When MetaVerse Meets Computing Power Networking: An Energy-Efficient Framework For Service Placement. - Li Lin 001; Yuhang Chen; Zhi Zhou 006; Peng Li 017; Jinbo Xiong (IEEE Wirel. Commun., 2023)

SAFE: Intelligent Online Scheduling for Collaborative DNN Inference in Vehicular Network. - Ruiting Zhou; Ziyi Han; Yifan Zeng; Zhi Zhou 006; Libing Wu; Wei Wang 030 (CSCWD, 2024)

Bridging the Data Gap in Federated Preference Learning with AIGC. - Chenyu Wang 004; Zhi Zhou 006; Xiaoxi Zhang 001; Xu Chen 004 (ICDCS, 2024)

COUPLE: Orchestrating Video Analytics on Heterogeneous Mobile Processors. - Hao Bao; Zhi Zhou 006; Fei Xu; Xu Chen 004 (ICDE, 2024)

IMI: In-memory Multi-job Inference Acceleration for Large Language Models. - Bin Gao; Zhehui Wang; Zhuomin He; Tao Luo 014; Weng-Fai Wong; Zhi Zhou 006 (ICPP, 2024)

Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference. - Huaiguang Cai; Zhi Zhou 006; Qianyi Huang (INFOCOM, 2024)

HarmonyBatch: Batching multi-SLO DNN Inference with Heterogeneous Serverless Functions. - Jiabin Chen; Fei Xu; Yikun Gu; Li Chen 019; Fangming Liu; Zhi Zhou 006 (IWQoS, 2024)

Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles. - Bo Rao; Xiaoxi Zhang 001; Tianxiang Zhu; Yufei You; Yihong Li; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2024)

MEGA: Mesh-Aligned 3DGS Towards Geometry-Preserving Online Reconstruction. - Ke Luo; Shengyuan Ye; Tao Ouyang; Zhi Zhou 006 (NPC (1), 2024)

Cost-Aware Dispersed Resource Probing and Offloading at the Edge: A User-Centric Online Layered Learning Approach. - Tao Ouyang; Xu Chen 004; Liekang Zeng; Zhi Zhou 006 (IEEE Trans. Serv. Comput., 2024)

Tetris: Proactive Container Scheduling for Long-Term Load Balancing in Shared Clusters. - Fei Xu; Xiyue Shen; Shuohao Lin; Li Chen 019; Zhi Zhou 006; Fen Xiao; Fangming Liu (IEEE Trans. Serv. Comput., 2024)

Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. - Xiaoxi Zhang 001; Jinhang Zuo; Zhe Huang 001; Zhi Zhou 006; Xu Chen 004; Carlee Joe-Wong (IEEE J. Sel. Areas Commun., 2024)

Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services. - Liekang Zeng; Xu Chen 004; Peng Huang; Ke Luo; Xiaoxi Zhang 001; Zhi Zhou 006 (IEEE/ACM Trans. Netw., 2024)

Joint Power Allocation and Task Replication for Reliability-Sensitive Services in NOMA-Enabled Vehicular Edge Computing. - Rui Huang; Wushao Wen; Xu Chen 004; Zhi Zhou 006; Qiangpu Chen; Chongwu Dong (IEEE Trans. Veh. Technol., 2024)

Computing Power Networking Meets Blockchain: A Reputation-Enhanced Trading Framework for Decentralized IoT Cloud Services. - Li Lin 001; Jiapeng Wu; Zhi Zhou 006; Jin Zhao 003; Peng Li 017; Jinbo Xiong (IEEE Internet Things J., 2024)

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Joint Power Allocation and Task Offloading for Reliability-Aware Services in NOMA-Enabled MEC. - Chongwu Dong; Yirui Tian; Zhi Zhou 006; Wushao Wen; Xu Chen 004 (IEEE Trans. Wirel. Commun., 2024)

Taming Serverless Cold Start of Cloud Model Inference With Edge Computing. - Kongyange Zhao; Zhi Zhou 006; Lei Jiao 002; Shen Cai; Fei Xu; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing. - Rui Li 062; Tao Ouyang; Liekang Zeng; Guocheng Liao; Zhi Zhou 006; Xu Chen 004 (IEEE/ACM Trans. Netw., 2024)

Dynamic Task Offloading for Multi-UAVs in Vehicular Edge Computing With Delay Guarantees: A Consensus ADMM-Based Optimization. - Rui Huang; Wushao Wen; Zhi Zhou 006; Chongwu Dong; Cheng Qiao; Zhihong Tian; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Online Context Caching for Distributed Large Language Models Serving. - Bin Gao; Zhuomin He; Yizhen Yao; Zhanzhi Lou Lou; Zhi Zhou 006; Weng-Fai Wong (INFOCOM, 2025)

AdaRAG: Adaptive Optimization for Retrieval Augmented Generation with Multilevel Retrievers at the Edge. - Tao Ouyang; Guihang Hong; Kongyange Zhao; Zhi Zhou 006; Weigang Wu; Zhaobiao Lv; Xu Chen 004 (INFOCOM, 2025)

Microns: Connection Subsetting for Microservices in Shared Clusters. - Jianxiong Liao; Juntao Li; Zhi Zhou 006; Fei Xu; Fangming Liu; Xu Chen 004 (Proc. ACM Meas. Anal. Comput. Syst., 2025)

Online Resource Provisioning and Batch Scheduling for AIoT Inference Serving in an XPU Edge Cloud. - Rongkai Liu; Yuting Wu; Kongyange Zhao; Zhi Zhou 006; Xiang Gao; Xiancheng Lin; Xiaoxi Zhang 001; Xu Chen 004; Gang Lu (IEEE Trans. Emerg. Top. Comput., 2025)

MEC-Enabled Task Replication With Resource Allocation for Reliability-Sensitive Services in 5G mMTC Networks. - Rui Huang; Wushao Wen; Zhi Zhou 006; Chongwu Dong; Xu Chen 004 (IEEE Trans. Serv. Comput., 2025)

Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs. - Aodong Chen; Fei Xu; Li Han 001; Yuan Dong; Li Chen 019; Zhi Zhou 006; Fangming Liu (IEEE Trans. Computers, 2025)

Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm. - Ke Luo; Kongyange Zhao; Tao Ouyang; Xiaoxi Zhang 001; Zhi Zhou 006; Hao Wang; Xu Chen 004 (IEEE Trans. Mob. Comput., 2025)

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning. - Bokeng Zheng; Bo Rao; Tianxiang Zhu; Chee Wei Tan 001; Jingpu Duan; Zhi Zhou 006; Xu Chen 004; Xiaoxi Zhang 001 (CoRR, 2025)

Delay-Sensitive Task Offloading With Edge Caching Through Martingale-Based Deep Reinforcement Learning. - Chongwu Dong; Weidong Li; Zhi Zhou 006; Xu Chen 004; Zhihong Tian; Wushao Wen (IEEE Trans. Mob. Comput., 2025)

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts. - Jin Yang; Qiong Wu 009; Zhiying Feng; Zhi Zhou 006; Deke Guo; Xu Chen 004 (CoRR, 2025)