Kejiang Ye

Orcid: 0000-0001-6133-407X

According to our database1, Kejiang Ye authored at least 145 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds.
IEEE Trans. Parallel Distributed Syst., August, 2024

<i>STRmt</i>: A state transition based model for real-time crowd counting in a metro system.
Concurr. Comput. Pract. Exp., June, 2024

Optimizing Resource Management for Shared Microservices: A Scalable System Design.
ACM Trans. Comput. Syst., May, 2024

Derm: SLA-aware Resource Management for Highly Dynamic Microservices.
Dataset, April, 2024

Derm: SLA-aware Resource Management for Highly Dynamic Microservices.
Dataset, March, 2024

Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing.
IEEE Trans. Serv. Comput., 2024

UELLM: A Unified and Efficient Approach for LLM Inference Serving.
CoRR, 2024

MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices.
CoRR, 2024

CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications.
CoRR, 2024

StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications.
CoRR, 2024

DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters.
CoRR, 2024

Edge AI: A Taxonomy, Systematic Review and Future Directions.
CoRR, 2024

Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales.
CoRR, 2024

MPCOM: Robotic Data Gathering with Radio Mapping and Model Predictive Communication.
CoRR, 2024

FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Enhanced HMM Map Matching Model Based on Multiple Type Trajectories.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Derm: SLA-aware Resource Management for Highly Dynamic Microservices.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Planck: Optimizing LLM Inference Performance in Pipeline Parallelism with Fine-Grained SLO Constraint.
Proceedings of the IEEE International Conference on Web Services, 2024

GCompletor: A Graph-Based Deep Learning Method for Traffic State Imputation on Urban Road Networks.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Node Pressure Prediction by Aggregating Long-Range Information.
Proceedings of the Internet of Things - ICIOT 2024, 2024

MLPing: Real-Time Proactive Fault Detection and Alarm for Large-Scale Distributed IDC Network.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

QUART: Latency-Aware FaaS System for Pipelining Large Model Inference.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty.
IEEE Trans. Veh. Technol., July, 2023

A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification.
IEEE/ACM Trans. Netw., June, 2023

Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling.
IEEE Trans. Big Data, June, 2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.
Dataset, June, 2023

Joint Semantic Transfer Network for IoT Intrusion Detection.
IEEE Internet Things J., February, 2023

Serverless Computing: State-of-the-Art, Challenges and Opportunities.
IEEE Trans. Serv. Comput., 2023

Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks.
IEEE Trans. Cloud Comput., 2023

Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach.
IEEE Internet Things J., 2023

Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster.
CoRR, 2023

APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses.
CoRR, 2023

Resource Management for GPT-based Model Deployed on Clouds: Challenges, Solutions, and Future Directions.
CoRR, 2023

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks.
CoRR, 2023

CEESys: A Cloud-Edge-End System for Data Acquisition, Transmission and Processing Based on HiSilicon and OpenHarmony.
Proceedings of the Metaverse - METAVERSE 2023, 2023

YOLO-IMF: An Improved YOLOv8 Algorithm for Surface Defect Detection in Industrial Manufacturing Field.
Proceedings of the Metaverse - METAVERSE 2023, 2023

Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach.
Proceedings of the International Conference for High Performance Computing, 2023

An Interference-aware Approach for Co-located Container Orchestration with Novel Metric.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

Detecting Vulnerabilities in Linux-Based Embedded Firmware with SSE-Based On-Demand Alias Analysis.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

A Semi-supervised Learning Based Method for Identifying Idle Virtual Machines in Managed Cloud: Application and Practice.
Proceedings of the Web Services - ICWS 2023, 2023

Destruction-Restoration Suppresses Data Protection Perturbations against Diffusion Models.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster.
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

FLASH: Low-Latency Serverless Model Inference with Multi-Core Parallelism in Edge.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant.
Proceedings of the Internet of Things, 2023

AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

A Survey on Cross-Domain Few-Shot Image Classification.
Proceedings of the Big Data - BigData 2023, 2023

Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection.
IEEE Wirel. Commun. Lett., 2022

An In-Depth Study of Microservice Call Graph and Runtime Performance.
IEEE Trans. Parallel Distributed Syst., 2022

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments.
ACM Trans. Internet Techn., 2022

GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data.
IEEE Trans. Intell. Transp. Syst., 2022

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

Multi-Tier Workload Consolidations in the Cloud: Profiling, Modeling and Optimization.
IEEE Trans. Cloud Comput., 2022

Deadlock Avoidance Algorithms for Recursion-Tree Modeled Requests in Parallel Executions.
IEEE Trans. Computers, 2022

PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing.
Softw. Pract. Exp., 2022

Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation.
CoRR, 2022

Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach.
CoRR, 2022

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment.
CoRR, 2022

The strong substructure and feature attention mechanism for image semantic segmentation.
Concurr. Comput. Pract. Exp., 2022

Toward fast theta-join: A prefiltering and amalgamated partitioning approach.
Concurr. Comput. Pract. Exp., 2022

DT-EEC: A Digital Twin-assisted End-Edge-Cloud Collaboration Architecture for Industrial Internet.
Proceedings of the IEEE Smartworld, 2022

System-level Implications of Serverless: Workload Characterizing and Performance Understanding.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

GraphGRU: A Graph Neural Network Model for Resource Prediction in Microservice Cluster.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

ESBench: Understanding Deep Learning Inference Overheads for Edge Serverless.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM.
Proceedings of the Cloud Computing - CLOUD 2022, 2022

Improving Few-Shot Image Classification with Self-supervised Learning.
Proceedings of the Cloud Computing - CLOUD 2022, 2022

The power of prediction: microservice auto scaling via workload learning.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Graph Structure Neural Differential Equations on Spatio-temporal Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction.
CoRR, 2021

Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting.
CoRR, 2021

PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

RPTCN: Resource Prediction for High-dynamic Workloads in Clouds based on Deep Learning.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform.
Proceedings of the Cloud Computing - CLOUD 2021, 2021

Electronic Card Localization Algorithm Based on Visible Light Screen Communication.
Proceedings of the Cloud Computing - CLOUD 2021, 2021

Performance Evaluation of Various RISC Processor Systems: A Case Study on ARM, MIPS and RISC-V.
Proceedings of the Cloud Computing - CLOUD 2021, 2021

BBServerless: A Bursty Traffic Benchmark for Serverless.
Proceedings of the Cloud Computing - CLOUD 2021, 2021

Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

xBCBench: A Benchmarking Tool for Analyzing the Performance of Blockchain Systems.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment.
IEEE Trans. Computers, 2020

Towards cost-effective service migration in mobile edge: A Q-learning approach.
J. Parallel Distributed Comput., 2020

Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters.
J. Comput. Sci. Technol., 2020

Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation.
Int. J. Parallel Program., 2020

Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction.
CoRR, 2020

Performance Evaluation on Blockchain Systems: A Case Study on Ethereum, Fabric, Sawtooth and Fisco-Bcos.
Proceedings of the Services Computing - SCC 2020, 2020

Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

MA-LSTM: A Multi-Attention Based LSTM for Complex Pattern Extraction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

HySync: Hybrid Federated Learning with Effective Synchronization.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs.
Proceedings of the Cloud Computing - CLOUD 2020, 2020

A Network Intrusion Detection Approach Based on Asymmetric Convolutional Autoencoder.
Proceedings of the Cloud Computing - CLOUD 2020, 2020

A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems.
Proceedings of the Big Data - BigData 2020, 2020

2019
NetDetector: an Anomaly Detection Platform for Networked Systems.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

BTS: Balanced Task Scheduling Strategy Based on Multi-resource Prediction and Allocation in Cloud Environment.
Proceedings of the Network and Parallel Computing, 2019

DAFL: Deep Adaptive Feature Learning for Network Anomaly Detection.
Proceedings of the Network and Parallel Computing, 2019

Towards Cluster-wide Deduplication Based on Ceph.
Proceedings of the 2019 IEEE International Conference on Networking, 2019

ADGS: Anomaly Detection and Localization Based on Graph Similarity in Container-Based Clouds.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

DCSA: Using Density-Based Clustering and Sequential Association Analysis to Predict Alarms in Telecommunication Networks.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Performance Benchmarking and Optimization for Blockchain Systems: A Survey.
Proceedings of the Blockchain - ICBC 2019, 2019

Traffic Classification and Application Identification Based on Machine Learning in Large-Scale Supercomputing Center.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Co-Locating Online Workload and Offline Workload in the Cloud: An Interference Analysis.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Dynamic Network Anomaly Detection System by Using Deep Learning Techniques.
Proceedings of the Cloud Computing - CLOUD 2019, 2019

CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds.
Proceedings of the Cloud Computing - CLOUD 2019, 2019

Live Migration of Virtual Machines in OpenStack: A Perspective from Reliability Evaluation.
Proceedings of the Cloud Computing - CLOUD 2019, 2019

FFD: A Federated Learning Based Method for Credit Card Fraud Detection.
Proceedings of the Big Data - BigData 2019, 2019

The Constrained GAN with Hybrid Encoding in Predicting Financial Behavior.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2019, 2019

2018
A Deep Learning Approach for Network Anomaly Detection Based on AMF-LSTM.
Proceedings of the Network and Parallel Computing, 2018

Modeling Application Performance in Docker Containers Using Machine Learning Techniques.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

How Does the Workload Look Like in Production Cloud? Analysis and Clustering of Workloads on Alibaba Cluster Trace.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Reducing Tail Latency of Interactive Multi-tier Workloads in the Cloud.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

Network Anomaly Detection and Identification Based on Deep Learning Methods.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

Fault Injection and Detection for Artificial Intelligence Applications in Container-Based Clouds.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017
Performance Tuning and Modeling for Big Data Applications in Docker Containers.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

Imbalance in the cloud: An analysis on Alibaba cluster trace.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Anomaly Detection in Clouds: Challenges and Practice.
Proceedings of the first Workshop on Emerging Technologies for software-defined and reconfigurable hardware-accelerated Cloud Datacenters, 2017

2016
Virtual Machine Level Temperature Profiling and Prediction in Cloud Datacenters.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

2015
Profiling-Based Workload Consolidation and Migration in Virtualized Data Centers.
IEEE Trans. Parallel Distributed Syst., 2015

2014
Virt-B: Towards Performance Benchmarking of Virtual Machine Systems.
IEEE Internet Comput., 2014

Scalability Analysis and Improvement of Hadoop Virtual Cluster with Cost Consideration.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013
HPACS: A High Privacy and Availability Cloud Storage Platform with Matrix Encryption.
Proceedings of the Advanced Parallel Processing Technologies, 2013

DartCSim+: Enhanced CloudSim with the Power and Network Models Integrated.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012
VC-Migration: Live Migration of Virtual Clusters in the Cloud.
Proceedings of the 13th ACM/IEEE International Conference on Grid Computing, 2012

vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration.
Proceedings of the 2012 IEEE International Conference on Cluster Computing Workshops, 2012

DartCSim: An enhanced user-friendly cloud simulation system based on CloudSim with better performance.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

2011
Virt-LM: a benchmark for live migration of virtual machine (abstracts only).
SIGMETRICS Perform. Evaluation Rev., 2011

Virt-LM: a benchmark for live migration of virtual machine.
Proceedings of the ICPE'11, 2011

Informed Live Migration Strategies of Virtual Machines for Cluster Load Balancing.
Proceedings of the Network and Parallel Computing - 8th IFIP International Conference, 2011

An Energy-Efficient Scheme for Cloud Resource Provisioning Based on CloudSim.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

Live Migration of Multiple Virtual Machines with Resource Reservation in Cloud Computing Environments.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2010
Evaluate the Performance and Scalability of Image Deployment in Virtual Data Center.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2010

Two Optimization Mechanisms to Improve the Isolation Property of Server Consolidation in Virtualized Multi-core Server.
Proceedings of the 12th IEEE International Conference on High Performance Computing and Communications, 2010

Analyzing and Modeling the Performance in Xen-Based Virtual Cluster Environment.
Proceedings of the 12th IEEE International Conference on High Performance Computing and Communications, 2010

Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

vTestkit: A Performance Benchmarking Framework for Virtualization Environments.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010

2009
Performance Combinative Evaluation of Typical Virtual Machine Monitors.
Proceedings of the High Performance Computing and Applications, 2009


  Loading...