Song Fu

Orcid: 0000-0002-7705-0829

According to our database1, Song Fu authored at least 142 papers between 2003 and 2024.

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Bibliography

2024
SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks.
Expert Syst. Appl., March, 2024

MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction.
Reliab. Eng. Syst. Saf., January, 2024

DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications.
Reliab. Eng. Syst. Saf., 2024

SelectE: Multi-scale adaptive selection network for knowledge graph representation learning.
Knowl. Based Syst., 2024

PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks.
Inf. Syst., 2024

Integrating adversarial training strategies into deep autoencoders: A novel aeroengine anomaly detection framework.
Eng. Appl. Artif. Intell., 2024

HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles.
CoRR, 2024

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines.
Adv. Eng. Informatics, 2024

Impact of Environmental Factors on Flash Storage Performance in Autonomous Vehicles: An Empirical and Analytical Study.
Proceedings of the IEEE International Conference on Mobility, 2024

2023
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process.
J. Intell. Manuf., December, 2023

Using combinatorial optimization to solve entity alignment: An efficient unsupervised model.
Neurocomputing, November, 2023

A Self-Attention Integrated Learning Model for Landing Gear Performance Prediction.
Sensors, July, 2023

A novel method for aeroengine performance model reconstruction based on CDAE model.
Adv. Eng. Informatics, April, 2023

Novel aeroengine fault diagnosis method based on feature amplification.
Eng. Appl. Artif. Intell., 2023

VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection.
CoRR, 2023

SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles.
CoRR, 2023

Sniffer Faster R-CNN: A Joint Camera-LiDAR Object Detection Framework with Proposal Refinement.
Proceedings of the IEEE International Conference on Mobility, 2023

Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Output-Directed Dynamic Quantization for DNN Acceleration.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

$\mathrm{P}^{3}$: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2022

A storage computing architecture with multiple NDP devices for accelerating compaction performance in LSM-tree based KV stores.
J. Syst. Archit., 2022

A two-stage fourth-order gas-kinetic CPR method for the Navier-Stokes equations on triangular meshes.
J. Comput. Phys., 2022

Slim-FCP: Lightweight-Feature-Based Cooperative Perception for Connected Automated Vehicles.
IEEE Internet Things J., 2022

Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing.
Future Internet, 2022

Online Self-Evolving Anomaly Detection for Reliable Cloud Computing.
Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021
Spatial Pyramid Attention for Deep Convolutional Neural Networks.
IEEE Trans. Multim., 2021

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.
Reliab. Eng. Syst. Saf., 2021

Machine-Learning-Enabled Cooperative Perception for Connected Autonomous Vehicles: Challenges and Opportunities.
IEEE Netw., 2021

Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system.
J. Parallel Distributed Comput., 2021

CoFF: Cooperative Spatial Feature Fusion for 3-D Object Detection on Autonomous Vehicles.
IEEE Internet Things J., 2021

A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection.
Eng. Appl. Artif. Intell., 2021

Online Self-Evolving Anomaly Detection in Cloud Computing Environments.
CoRR, 2021

Signal Processing for TDM MIMO FMCW Millimeter-Wave Radar Sensors.
IEEE Access, 2021

Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

CoConv: Learning Dynamic Cooperative Convolution for Image Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Learning Connected Attentions for Convolutional Neural Networks.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA.
Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

VECFrame: A Vehicular Edge Computing Framework for Connected Autonomous Vehicles.
Proceedings of the IEEE International Conference on Edge Computing, 2021

2020
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles.
CoRR, 2020

DCANet: Learning Connected Attentions for Convolutional Neural Networks.
CoRR, 2020

Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cooperative Mixed Reality Leveraging Edge Computing and Communication.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Attention Meets Normalization and Beyond.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Spanet: Spatial Pyramid Attention Network for Enhanced Image Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Image Processing, 2020

A middle-ware approach to leverage the distributed data de-duplication capability on HPC and Cloud storage systems.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MOWS: Multi-objective workflow scheduling in cloud computing based on heuristic algorithm.
Simul. Model. Pract. Theory, 2019

Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance in HPC Storage Systems.
Proceedings of the 38th Symposium on Reliable Distributed Systems, 2019

Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores.
Proceedings of the 48th International Conference on Parallel Processing, 2019

A novel unsupervised anomaly detection for gas turbine using Isolation Forest.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks.
Proceedings of the IEEE International Conference on Industrial Internet, 2019

Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies.
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

F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Characterizing and Modeling Reliability of Declustered RAID for HPC Storage Systems.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

An Empirical Study of Quad-Level Cell (QLC) NAND Flash SSDs for Big Data Applications.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Applying SDN based data network on HPC Big Data Computing - Design, Implementation, and Evaluation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A third-order gas-kinetic CPR method for the Euler and Navier-Stokes equations on triangular meshes.
J. Comput. Phys., 2018

A unified gas-kinetic scheme for axisymmetric flow in all Knudsen number regimes.
J. Comput. Phys., 2018

DStore: A Holistic Key-Value Store Exploring Near-Data Processing and On-Demand Scheduling for Compaction Optimization.
IEEE Access, 2018

Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Embedded Deep Learning for Vehicular Edge Computing.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Reliability Characterization of Solid State Drives in a Scalable Production Datacenter.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Developing Cost-Effective Data Rescue Schemes to Tackle Disk Failures in Data Centers.
Proceedings of the Big Data - BigData 2018, 2018

Converting Unstructured System Logs into Structured Event List for Anomaly Detection.
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017
Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility.
Int. J. High Perform. Comput. Netw., 2017

2016
TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput.
Parallel Comput., 2016

Parallel Erasure Coding: Exploring Task Parallelism in Erasure Coding for Enhanced Bandwidth and Energy Efficiency.
Proceedings of the IEEE International Conference on Networking, 2016

Quantifying entity criticality for fault impact analysis and dependability enhancement in software-defined networks.
Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016

Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

An Optimal Police Patrol Planning Strategy for Smart City Safety.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Characterizing power and energy efficiency of legion runtime and applications: An early experience.
Proceedings of the Seventh International Green and Sustainable Computing Conference, 2016

Improving Coding Performance and Energy Efficiency of Erasure Coding Process for Storage Systems - A Parallel and Scalable Approach.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Measurement and characterization of Haswell power and energy consumption.
Proceedings of the 3rd International Workshop on Energy Efficient Supercomputing, 2015

Differentiated Failure Remediation with Action Selection for Resilient Computing.
Proceedings of the 21st IEEE Pacific Rim International Symposium on Dependable Computing, 2015

A customizable MapReduce framework for complex data-intensive workflows on GPUs.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

PASSI: A Parallel, Reliable and Scalable Storage Software Infrastructure for active storage system and I/O environments.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Characterizing Disk Failures with Quantified Disk Degradation Signatures: An Early Experience.
Proceedings of the 2015 IEEE International Symposium on Workload Characterization, 2015

Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection.
Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale, 2015

MR-Graph: A Customizable GPU MapReduce.
Proceedings of the IEEE 2nd International Conference on Cyber Security and Cloud Computing, 2015

2014
A P<sub>N</sub> P<sub>M</sub> - CPR Framework for Hyperbolic Conservation Laws.
J. Sci. Comput., 2014

Characterizing Workload of Web Applications on Virtualized Servers.
Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2014

Trapped capacity: scheduling under a power cap to maximize machine-room throughput.
Proceedings of the 2nd International Workshop on Energy Efficient Supercomputing, 2014

F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013
Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures.
Proceedings of the IEEE 32nd Symposium on Reliable Distributed Systems, 2013

Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems.
Proceedings of the IEEE 19th Pacific Rim International Symposium on Dependable Computing, 2013

Wavelet-based multi-scale anomaly identification in cloud computing systems.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012
Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems.
J. Commun., 2012

AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures.
Proceedings of the IEEE 31st Symposium on Reliable Distributed Systems, 2012

CDA: A Cloud Dependability Analysis Framework for Characterizing System Dependability in Cloud Computing Infrastructures.
Proceedings of the IEEE 18th Pacific Rim International Symposium on Dependable Computing, 2012

Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds.
Proceedings of the Seventh IEEE International Conference on Networking, 2012

An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures.
Proceedings of the 31st IEEE International Performance Computing and Communications Conference, 2012

AFD: Adaptive failure detection system for cloud computing infrastructures.
Proceedings of the 31st IEEE International Performance Computing and Communications Conference, 2012

A self-evolving anomaly detection framework for developing highly dependable utility clouds.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Randomized load balancing strategies with churn resilience in peer-to-peer networks.
J. Netw. Comput. Appl., 2011

A gas-kinetic BGK scheme for gas-water flow.
Comput. Math. Appl., 2011

Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing.
Proceedings of the 30th IEEE International Performance Computing and Communications Conference, 2011

Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing.
Proceedings of 20th International Conference on Computer Communications and Networks, 2011

Performance Metric Selection for Autonomic Anomaly Detection on Cloud Computing Systems.
Proceedings of the Global Communications Conference, 2011

Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience.
Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011

Characterizing Power and Energy Usage in Cloud Computing Systems.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems.
Proceedings of the Sixth International Conference on Availability, 2011

2010
Quantifying event correlations for proactive failure management in networked computing systems.
J. Parallel Distributed Comput., 2010

Failure-aware resource management for high-availability computing clusters with distributed virtual machines.
J. Parallel Distributed Comput., 2010

A high-order gas-kinetic Navier-Stokes flow solver.
J. Comput. Phys., 2010

Dependability enhancement for coalition clusters with autonomic failure management.
Proceedings of the 15th IEEE Symposium on Computers and Communications, 2010

Failure prediction for autonomic management of networked computer systems with availability assurance.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Profiling and analysis of power consumption for virtualized systems and applications.
Proceedings of the 29th International Performance Computing and Communications Conference, 2010

auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems.
Proceedings of the 29th International Performance Computing and Communications Conference, 2010

Anomaly detection in large-scale coalition clusters for dependability assurance.
Proceedings of the 2010 International Conference on High Performance Computing, 2010

An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems.
Proceedings of the Workshop Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010

2009
Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing.
Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009

Proactive Resource Management for Failure Resilient High Performance Computing Clusters.
Proceedings of the The Forth International Conference on Availability, 2009

2008
Random choices for churn resilient load balancing in peer-to-peer networks.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007
Generation of vortices by a streamwise oscillating cylinder.
J. Vis., 2007

Coordinated access control with temporal and spatial constraints on mobile execution in coalition environments.
Future Gener. Comput. Syst., 2007

Quantifying Temporal and Spatial Correlation of Failure Events for Proactive Management.
Proceedings of the 26th IEEE Symposium on Reliable Distributed Systems (SRDS 2007), 2007

Exploring event correlation for failure prediction in coalitions of clusters.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

2006
Stochastic modeling and analysis of hybrid mobility in reconfigurable distributed virtual machines.
J. Parallel Distributed Comput., 2006

On the multidimensional gas-kinetic BGK scheme.
J. Comput. Phys., 2006

Distributed shared arrays: A distributed virtual machine with mobility support for reconfiguration.
Clust. Comput., 2006

2005
Distributed Shared Arrays: An Integration of Message Passing and Multithreading on SMP Clusters.
J. Supercomput., 2005

A Coordinated Spatio-Temporal Access Control Model for Mobile Computing in Coalition Environments.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Service Migration in Distributed Virtual Machines for Adaptive Grid Computing.
Proceedings of the 34th International Conference on Parallel Processing (ICPP 2005), 2005

2004
Migration Decision for Hybrid Mobility in Reconfigurable Distributed Virtual Machines.
Proceedings of the 33rd International Conference on Parallel Processing (ICPP 2004), 2004

2003
Privilege Delegation and Agent-Oriented Access Control in Naplet.
Proceedings of the 23rd International Conference on Distributed Computing Systems Workshops (ICDCS 2003 Workshops), 2003

A Rate-Based Multicast Protocol for Large-Scale Reliable Transport.
Proceedings of the 17th International Conference on Advanced Information Networking and Applications (AINA'03), 2003


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