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Journal Articles
- 2024
[j43]Lin Lin, Jinlei Wu
, Song Fu, Sihao Zhang, Changsheng Tong, Lizheng Zu:
Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines. Adv. Eng. Informatics 60: 102372 (2024)- [j42]Lin Lin, Lizheng Zu, Song Fu, Yikun Liu, Sihao Zhang, Shiwei Suo, Changsheng Tong:
Integrating adversarial training strategies into deep autoencoders: A novel aeroengine anomaly detection framework. Eng. Appl. Artif. Intell. 136: 108856 (2024) - [j41]Lizheng Zu, Lin Lin, Jie Liu, Song Fu, Changsheng Tong, Hao Guo:
SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks. Expert Syst. Appl. 238(Part B): 121759 (2024) - [j40]Lizheng Zu, Lin Lin, Song Fu, Jie Liu, Shiwei Suo, Wenhui He, Jinlei Wu, Yancheng Lv:
PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks. Inf. Syst. 126: 102433 (2024) - [j39]Lizheng Zu, Lin Lin, Song Fu, Feng Guo, Jinlei Wu:
SelectE: Multi-scale adaptive selection network for knowledge graph representation learning. Knowl. Based Syst. 291: 111554 (2024) - [j38]Song Fu, Lin Lin, Yue Wang, Feng Guo, Minghang Zhao, Baihong Zhong, Shisheng Zhong:
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. 241: 109696 (2024) - [j37]Song Fu, Limin Zou, Yue Wang, Lin Lin, Yifan Lu, Minghang Zhao, Feng Guo, Shisheng Zhong:
DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications. Reliab. Eng. Syst. Saf. 249: 110246 (2024) - 2023
- [j36]Lin Lin, Wenhui He, Feng Guo, Song Fu, Changsheng Tong, Lizheng Zu:
A novel method for aeroengine performance model reconstruction based on CDAE model. Adv. Eng. Informatics 56: 101909 (2023) - [j35]Lin Lin, Wenhui He, Song Fu, Changsheng Tong, Lizheng Zu:
Novel aeroengine fault diagnosis method based on feature amplification. Eng. Appl. Artif. Intell. 122: 106093 (2023) - [j34]Lin Lin, Lizheng Zu, Feng Guo, Song Fu, Yancheng Lv, Hao Guo, Jie Liu:
Using combinatorial optimization to solve entity alignment: An efficient unsupervised model. Neurocomputing 558: 126802 (2023) - [j33]Zhaochen Gu, Shashank Sharma, Daniel A. Riley, Mangesh V. Pantawane, Sameehan S. Joshi, Song Fu, Narendra B. Dahotre:
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process. J. Intell. Manuf. 34(8): 3341-3363 (2023) - [j32]Lin Lin, Changsheng Tong, Feng Guo, Song Fu, Yancheng Lv, Wenhui He:
A Self-Attention Integrated Learning Model for Landing Gear Performance Prediction. Sensors 23(13): 6219 (2023) - 2022
- [j31]Tianyu Bai, Song Fu, Qing Yang:
Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing. Future Internet 14(11): 316 (2022) - [j30]Jingda Guo, Dominic Carrillo, Qi Chen, Qing Yang, Song Fu, Hongsheng Lu, Rui Guo:
Slim-FCP: Lightweight-Feature-Based Cooperative Perception for Connected Automated Vehicles. IEEE Internet Things J. 9(17): 15630-15638 (2022) - [j29]Chao Zhang, Qibing Li, Zhi Jian Wang, Jiequan Li, Song Fu:
A two-stage fourth-order gas-kinetic CPR method for the Navier-Stokes equations on triangular meshes. J. Comput. Phys. 451: 110830 (2022) - [j28]Hui Sun, Qiang Wang, Yinliang Yue, Yuhong Zhao, Song Fu:
A storage computing architecture with multiple NDP devices for accelerating compaction performance in LSM-tree based KV stores. J. Syst. Archit. 130: 102681 (2022) - [j27]Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao:
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7114-7125 (2022) - 2021
- [j26]Xinrong Li, Xiaodong Wang, Qing Yang, Song Fu:
Signal Processing for TDM MIMO FMCW Millimeter-Wave Radar Sensors. IEEE Access 9: 167959-167971 (2021) - [j25]Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao:
A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection. Eng. Appl. Artif. Intell. 101: 104199 (2021) - [j24]Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, Paparao Palacharla:
CoFF: Cooperative Spatial Feature Fusion for 3-D Object Detection on Autonomous Vehicles. IEEE Internet Things J. 8(14): 11078-11087 (2021) - [j23]Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari:
Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system. J. Parallel Distributed Comput. 153: 29-43 (2021) - [j22]Qing Yang, Song Fu, Honggang Wang, Hua Fang:
Machine-Learning-Enabled Cooperative Perception for Connected Autonomous Vehicles: Challenges and Opportunities. IEEE Netw. 35(3): 96-101 (2021) - [j21]Song Fu, Yongjian Zhang, Lin Lin, Minghang Zhao, Shi-sheng Zhong:
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains. Reliab. Eng. Syst. Saf. 216: 108012 (2021) - [j20]Xu Ma, Jingda Guo, Andrew Sansom, Mara McGuire, Andrew Kalaani, Qi Chen, Sihai Tang, Qing Yang, Song Fu:
Spatial Pyramid Attention for Deep Convolutional Neural Networks. IEEE Trans. Multim. 23: 3048-3058 (2021) - 2019
- [j19]Farzaneh Abazari, Morteza Analoui, Hassan Takabi, Song Fu:
MOWS: Multi-objective workflow scheduling in cloud computing based on heuristic algorithm. Simul. Model. Pract. Theory 93: 119-132 (2019) - 2018
- [j18]Hui Sun, Wei Liu, Zhi Qiao, Song Fu, Weisong Shi:
DStore: A Holistic Key-Value Store Exploring Near-Data Processing and On-Demand Scheduling for Compaction Optimization. IEEE Access 6: 61233-61253 (2018) - [j17]Chao Zhang, Qibing Li, Song Fu, Zhi Jian Wang:
A third-order gas-kinetic CPR method for the Euler and Navier-Stokes equations on triangular meshes. J. Comput. Phys. 363: 329-353 (2018) - [j16]Shiyi Li, Qibing Li, Song Fu, Kun Xu:
A unified gas-kinetic scheme for axisymmetric flow in all Knudsen number regimes. J. Comput. Phys. 366: 144-169 (2018) - 2017
- [j15]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility. Int. J. High Perform. Comput. Netw. 10(4/5): 436-452 (2017) - 2016
- [j14]Ziming Zhang, Michael Lang, Scott Pakin, Song Fu:
TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput. Parallel Comput. 57: 108-124 (2016) - 2014
- [j13]Lei Shi, Zhi Jian Wang, L. P. Zhang, Wei Liu, Song Fu:
A PN PM - CPR Framework for Hyperbolic Conservation Laws. J. Sci. Comput. 61(2): 281-307 (2014) - 2012
- [j12]Qiang Guan, Ziming Zhang, Song Fu:
Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems. J. Commun. 7(1): 52-61 (2012) - 2011
- [j11]Qibing Li, Song Fu:
A gas-kinetic BGK scheme for gas-water flow. Comput. Math. Appl. 61(12): 3639-3652 (2011) - [j10]Song Fu, Cheng-Zhong Xu, Haiying Shen:
Randomized load balancing strategies with churn resilience in peer-to-peer networks. J. Netw. Comput. Appl. 34(1): 252-261 (2011) - 2010
- [j9]Qibing Li, Kun Xu, Song Fu:
A high-order gas-kinetic Navier-Stokes flow solver. J. Comput. Phys. 229(19): 6715-6731 (2010) - [j8]Song Fu:
Failure-aware resource management for high-availability computing clusters with distributed virtual machines. J. Parallel Distributed Comput. 70(4): 384-393 (2010) - [j7]Song Fu, Cheng-Zhong Xu:
Quantifying event correlations for proactive failure management in networked computing systems. J. Parallel Distributed Comput. 70(11): 1100-1109 (2010) - 2007
- [j6]Song Fu, Cheng-Zhong Xu:
Coordinated access control with temporal and spatial constraints on mobile execution in coalition environments. Future Gener. Comput. Syst. 23(6): 804-815 (2007) - [j5]Mahbub Alam, Song Fu, Yu Zhou:
Generation of vortices by a streamwise oscillating cylinder. J. Vis. 10(1): 65-73 (2007) - 2006
- [j4]Song Fu, Cheng-Zhong Xu, Brian Wims, Ramzi Basharahil:
Distributed shared arrays: A distributed virtual machine with mobility support for reconfiguration. Clust. Comput. 9(3): 237-255 (2006) - [j3]Qibing Li, Song Fu:
On the multidimensional gas-kinetic BGK scheme. J. Comput. Phys. 220(1): 532-548 (2006) - [j2]Song Fu, Cheng-Zhong Xu:
Stochastic modeling and analysis of hybrid mobility in reconfigurable distributed virtual machines. J. Parallel Distributed Comput. 66(11): 1442-1454 (2006) - 2005
- [j1]Ramzi Basharahil, Brian Wims, Cheng-Zhong Xu, Song Fu:
Distributed Shared Arrays: An Integration of Message Passing and Multithreading on SMP Clusters. J. Supercomput. 31(2): 161-184 (2005)
Conference and Workshop Papers
- 2024
- [c93]Ying He, Shuwen Liang, Song Fu:
Impact of Environmental Factors on Flash Storage Performance in Autonomous Vehicles: An Empirical and Analytical Study. MOST 2024: 206-217 - 2023
- [c92]Sihai Tang, Shengze Wang, Song Fu, Qing Yang:
Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles. EDGE 2023: 104-114 - [c91]Tianyu Bai, Danyang Shao, Ying He, Song Fu, Qing Yang:
$\mathrm{P}^{3}$: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy. ICCCN 2023: 1-10 - [c90]Beilei Jiang, Xianwei Cheng, Yuan Li, Jocelyn Zhang, Song Fu, Qing Yang, Mingxiong Liu, Alejandro Olvera:
Output-Directed Dynamic Quantization for DNN Acceleration. ICPP 2023: 645-654 - [c89]Tianyu Bai, Qing Yang, Song Fu:
User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing. SEC 2023: 145-157 - [c88]Zhaochen Gu, Venkata Mani Krishna Karri, Shashank Sharma, Hang Tran, Aishwarya Manjunath, Donger Chen, Song Fu, Narendra B. Dahotre:
Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 592-599 - [c87]Sudip Dhakal, Qi Chen, Deyuan Qu, Dominic Carrillo, Qing Yang, Song Fu:
Sniffer Faster R-CNN: A Joint Camera-LiDAR Object Detection Framework with Proposal Refinement. MOST 2023: 1-10 - 2022
- [c86]Chenxi Qiu, Sourabh Yadav, Anna Cinzia Squicciarini, Qing Yang, Song Fu, Juanjuan Zhao, Chengzhong Xu:
Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles. ICDCS 2022: 1212-1222 - [c85]Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu:
MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. IPDPS 2022: 1184-1194 - [c84]Tianyu Bai, Haili Wang, Jingda Guo, Xu Ma, Mahendra Talasila, Sihai Tang, Song Fu, Qing Yang:
Online Self-Evolving Anomaly Detection for Reliable Cloud Computing. UCC 2022: 31-40 - 2021
- [c83]Sihai Tang, Bruce Haidi Chen, Harold Iwen, Jason Hirsch, Song Fu, Qing Yang, Paparao Palacharla, Nannan Wang, Xi Wang, Weisong Shi:
VECFrame: A Vehicular Edge Computing Framework for Connected Autonomous Vehicles. EDGE 2021: 68-77 - [c82]Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu:
APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. FPGA 2021: 146-147 - [c81]Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, Xi Wang:
Learning Connected Attentions for Convolutional Neural Networks. ICME 2021: 1-6 - [c80]Kien X. Nguyen, Tiffany Ryu, Jocelyn Zhang, Xu Ma, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, Xi Wang:
CoConv: Learning Dynamic Cooperative Convolution for Image Recognition. ICME 2021: 1-6 - [c79]Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, Song Fu:
Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. IPDPS Workshops 2021: 288-297 - 2020
- [c78]Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang:
Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. AAAI 2020: 849-856 - [c77]Hsing-bung Chen, Sihai Tang, Song Fu:
A middle-ware approach to leverage the distributed data de-duplication capability on HPC and Cloud storage systems. IEEE BigData 2020: 2649-2653 - [c76]Xu Ma, Zhinan Qiao, Jingda Guo, Sihai Tang, Qi Chen, Qing Yang, Song Fu:
Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks. ICIP 2020: 1741-1745 - [c75]Jingda Guo, Xu Ma, Andrew Sansom, Mara McGuire, Andrew Kalaani, Qi Chen, Sihai Tang, Qing Yang, Song Fu:
Spanet: Spatial Pyramid Attention Network for Enhanced Image Recognition. ICME 2020: 1-6 - [c74]Xu Ma, Jingda Guo, Qi Chen, Sihai Tang, Qing Yang, Song Fu:
Attention Meets Normalization and Beyond. ICME 2020: 1-6 - [c73]Sihai Tang, Bruce Haidi Chen, Jacob Hochstetler, Jason Hirsch, Song Fu:
Cooperative Mixed Reality Leveraging Edge Computing and Communication. SEC 2020: 425-429 - [c72]Xu Ma, Song Fu:
Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position. IJCAI 2020: 797-803 - 2019
- [c71]Zongze Li, Song Fu:
Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL. IEEE BigData 2019: 3355-3364 - [c70]Shuwen Liang, Zhi Qiao, Sihai Tang, Jacob Hochstetler, Song Fu, Weisong Shi, Hsing-Bung Chen:
An Empirical Study of Quad-Level Cell (QLC) NAND Flash SSDs for Big Data Applications. IEEE BigData 2019: 3676-3685 - [c69]Sihai Tang, Zhaochen Gu, Qing Yang, Song Fu:
Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data. IEEE BigData 2019: 4185-4190 - [c68]Hsing-bung Chen, Zhi Qiao, Song Fu:
Applying SDN based data network on HPC Big Data Computing - Design, Implementation, and Evaluation. IEEE BigData 2019: 6007-6009 - [c67]Zhi Qiao, Song Fu, Hsing-Bung Chen, Bradley W. Settlemyer:
Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study. CLUSTER 2019: 1-10 - [c66]Zhi Qiao, Shuwen Liang, Song Fu, Hsing-Bung Chen, Bradley W. Settlemyer:
Characterizing and Modeling Reliability of Declustered RAID for HPC Storage Systems. DSN (Industry Track) 2019: 17-20 - [c65]Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, Song Fu:
F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds. SEC 2019: 88-100 - [c64]Zongze Li, Song Fu, Sean Blanchard, Michael Lang:
Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies. HPCC/SmartCity/DSS 2019: 2270-2277 - [c63]Song Huang, Shuwen Liang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-bung Chen:
Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems. ICAC 2019: 157-166 - [c62]Qi Chen, Sihai Tang, Qing Yang, Song Fu:
Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds. ICDCS 2019: 514-524 - [c61]Qi Chen, Sihai Tang, Jacob Hochstetler, Jingda Guo, Yuan Li, Jinbo Xiong, Qing Yang, Song Fu:
Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks. ICII 2019: 287-296 - [c60]Shisheng Zhong, Song Fu, Lin Lin, Xuyun Fu, Zhiquan Cui, Rui Wang:
A novel unsupervised anomaly detection for gas turbine using Isolation Forest. ICPHM 2019: 1-6 - [c59]Hui Sun, Wei Liu, Jianzhong Huang, Song Fu, Zhi Qiao, Weisong Shi:
Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores. ICPP 2019: 5:1-5:11 - [c58]Zhi Qiao, Shuwen Liang, Hsing-Bung Chen, Song Fu, Bradley W. Settlemyer:
Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance in HPC Storage Systems. SRDS 2019: 285-294 - 2018
- [c57]Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard, Michael Lang:
Converting Unstructured System Logs into Structured Event List for Anomaly Detection. ARES 2018: 15:1-15:10 - [c56]Zhi Qiao, Jacob Hochstetler, Shuwen Liang, Song Fu, Hsing-bung Chen, Bradley W. Settlemyer:
Developing Cost-Effective Data Rescue Schemes to Tackle Disk Failures in Data Centers. BigData Congress 2018: 194-208 - [c55]Shuwen Liang, Zhi Qiao, Jacob Hochstetler, Song Huang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-Bung Chen, Bradley W. Settlemyer, David Richard Montoya:
Reliability Characterization of Solid State Drives in a Scalable Production Datacenter. IEEE BigData 2018: 3341-3349 - [c54]Zhi Qiao, Shuwen Liang, Nandini Damera, Song Fu, Hsing-bung Chen, Michael Lang:
ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing. IEEE BigData 2018: 3350-3358 - [c53]Hsing-bung Chen, Qiang Guan, Song Fu:
UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems. DASC/PiCom/DataCom/CyberSciTech 2018: 889-896 - [c52]Zhi Qiao, Jacob Hochstetler, Shuwen Liang, Song Fu, Hsing-bung Chen, Bradley W. Settlemyer:
Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems. DASC/PiCom/DataCom/CyberSciTech 2018: 904-911 - [c51]Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari:
Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. DSN 2018: 107-114 - [c50]Jacob Hochstetler, Rahul Padidela, Qi Chen, Qing Yang, Song Fu:
Embedded Deep Learning for Vehicular Edge Computing. SEC 2018: 341-343 - [c49]Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard, Michael Lang:
Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems. HPCC/SmartCity/DSS 2018: 781-788 - 2016
- [c48]Hsing-bung Chen, Song Fu:
Improving Coding Performance and Energy Efficiency of Erasure Coding Process for Storage Systems - A Parallel and Scalable Approach. CLOUD 2016: 933-936 - [c47]Song Huang, Song Fu, Scott Pakin, Michael Lang:
Characterizing power and energy efficiency of legion runtime and applications: An early experience. IGSC 2016: 1-8 - [c46]Jacob Hochstetler, Lauren Hochstetler, Song Fu:
An Optimal Police Patrol Planning Strategy for Smart City Safety. HPCC/SmartCity/DSS 2016: 1256-1263 - [c45]Elisabeth Baseman, Sean Blanchard, Zongze Li, Song Fu:
Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs. ICMLA 2016: 882-885 - [c44]Song Huang, Zhiang Deng, Song Fu:
Quantifying entity criticality for fault impact analysis and dependability enhancement in software-defined networks. IPCCC 2016: 1-8 - [c43]Hsing-bung Chen, Song Fu:
Parallel Erasure Coding: Exploring Task Parallelism in Erasure Coding for Enhanced Bandwidth and Energy Efficiency. NAS 2016: 1-4 - 2015
- [c42]Zhi Qiao, Shuwen Liang, Hai Jiang, Song Fu:
MR-Graph: A Customizable GPU MapReduce. CSCloud 2015: 417-422 - [c41]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection. FTXS@HPDC 2015: 35-40 - [c40]Song Huang, Song Fu, Quan Zhang, Weisong Shi:
Characterizing Disk Failures with Quantified Disk Degradation Signatures: An Early Experience. IISWC 2015: 150-159 - [c39]Hsing-bung Chen, Song Fu:
PASSI: A Parallel, Reliable and Scalable Storage Software Infrastructure for active storage system and I/O environments. IPCCC 2015: 1-8 - [c38]Zhi Qiao, Shuwen Liang, Hai Jiang, Song Fu:
A customizable MapReduce framework for complex data-intensive workflows on GPUs. IPCCC 2015: 1-8 - [c37]Song Huang, Song Fu, Nathan DeBardeleben, Qiang Guan, Cheng-Zhong Xu:
Differentiated Failure Remediation with Action Selection for Resilient Computing. PRDC 2015: 199-208 - [c36]Song Huang, Michael Lang, Scott Pakin, Song Fu:
Measurement and characterization of Haswell power and energy consumption. E2SC@SC 2015: 7:1-7:10 - 2014
- [c35]Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu:
F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability. IPDPS 2014: 1245-1254 - [c34]Ziming Zhang, Michael Lang, Scott Pakin, Song Fu:
Trapped capacity: scheduling under a power cap to maximize machine-room throughput. E2SC@SC 2014: 41-50 - [c33]Xiajun Wang, Song Huang, Song Fu, Krishna Kavi:
Characterizing Workload of Web Applications on Virtualized Servers. BPOE@ASPLOS/VLDB 2014: 98-108 - 2013
- [c32]Qiang Guan, Song Fu:
Wavelet-based multi-scale anomaly identification in cloud computing systems. GLOBECOM 2013: 1379-1384 - [c31]Qiang Guan, Song Fu, Nathan DeBardeleben, Sean Blanchard:
Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems. PRDC 2013: 196-205 - [c30]Qiang Guan, Song Fu:
Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures. SRDS 2013: 205-214 - 2012
- [c29]Song Fu, Jianguo Liu, Husanbir Singh Pannu:
A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines. ADMA 2012: 726-738 - [c28]Husanbir Singh Pannu, Jianguo Liu, Song Fu:
A self-evolving anomaly detection framework for developing highly dependable utility clouds. GLOBECOM 2012: 1605-1610 - [c27]Ziming Zhang, Qiang Guan, Song Fu:
An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. IPCCC 2012: 51-60 - [c26]Husanbir Singh Pannu, Jianguo Liu, Qiang Guan, Song Fu:
AFD: Adaptive failure detection system for cloud computing infrastructures. IPCCC 2012: 71-80 - [c25]Qiang Guan, Chi-Chen Chiu, Ziming Zhang, Song Fu:
Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds. NAS 2012: 207-216 - [c24]Qiang Guan, Chi-Chen Chiu, Song Fu:
CDA: A Cloud Dependability Analysis Framework for Characterizing System Dependability in Cloud Computing Infrastructures. PRDC 2012: 11-20 - [c23]Husanbir Singh Pannu, Jianguo Liu, Song Fu:
AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures. SRDS 2012: 396-397 - 2011
- [c22]Qiang Guan, Ziming Zhang, Song Fu:
Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems. ARES 2011: 83-90 - [c21]Ziming Zhang, Song Fu:
Characterizing Power and Energy Usage in Cloud Computing Systems. CloudCom 2011: 146-153 - [c20]Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu:
Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. Euro-Par Workshops (2) 2011: 282-291 - [c19]Song Fu:
Performance Metric Selection for Autonomic Anomaly Detection on Cloud Computing Systems. GLOBECOM 2011: 1-5 - [c18]Qiang Guan, Ziming Zhang, Song Fu:
Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. ICCCN 2011: 1-6 - [c17]Ziming Zhang, Song Fu:
Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing. IPCCC 2011: 1-8 - 2010
- [c16]Derek Smith, Qiang Guan, Song Fu:
An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems. COMPSAC Workshops 2010: 376-381 - [c15]Qiang Guan, Derek Smith, Song Fu:
Anomaly detection in large-scale coalition clusters for dependability assurance. HiPC 2010: 1-10 - [c14]Qiang Guan, Song Fu:
auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems. IPCCC 2010: 73-80 - [c13]Ziming Zhang, Song Fu:
Profiling and analysis of power consumption for virtualized systems and applications. IPCCC 2010: 329-330 - [c12]Ziming Zhang, Song Fu:
Failure prediction for autonomic management of networked computer systems with availability assurance. IPDPS Workshops 2010: 1-8 - [c11]Song Fu:
Dependability enhancement for coalition clusters with autonomic failure management. ISCC 2010: 790-795 - 2009
- [c10]Song Fu, Cheng-Zhong Xu:
Proactive Resource Management for Failure Resilient High Performance Computing Clusters. ARES 2009: 257-264 - [c9]Song Fu:
Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing. CCGRID 2009: 372-379 - 2008
- [c8]Song Fu, Cheng-Zhong Xu, Haiying Shen:
Random choices for churn resilient load balancing in peer-to-peer networks. IPDPS 2008: 1-12 - 2007
- [c7]Song Fu, Cheng-Zhong Xu:
Exploring event correlation for failure prediction in coalitions of clusters. SC 2007: 41 - [c6]Song Fu, Cheng-Zhong Xu:
Quantifying Temporal and Spatial Correlation of Failure Events for Proactive Management. SRDS 2007: 175-184 - 2005
- [c5]Song Fu, Cheng-Zhong Xu:
Service Migration in Distributed Virtual Machines for Adaptive Grid Computing. ICPP 2005: 358-365 - [c4]Song Fu, Cheng-Zhong Xu:
A Coordinated Spatio-Temporal Access Control Model for Mobile Computing in Coalition Environments. IPDPS 2005 - 2004
- [c3]Song Fu, Cheng-Zhong Xu:
Migration Decision for Hybrid Mobility in Reconfigurable Distributed Virtual Machines. ICPP 2004: 335-342 - 2003
- [c2]Song Fu, Zhiquan Jin, Peipei Chen:
A Rate-Based Multicast Protocol for Large-Scale Reliable Transport. AINA 2003: 607-610 - [c1]Cheng-Zhong Xu, Song Fu:
Privilege Delegation and Agent-Oriented Access Control in Naplet. ICDCS Workshops 2003: 493-497
Informal and Other Publications
- 2024
- [i10]Deyuan Qu, Qi Chen, Yongqi Zhu, Yihao Zhu, Sergei S. Avedisov, Song Fu, Qing Yang:
HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles. CoRR abs/2408.15428 (2024) - 2023
- [i9]Deyuan Qu, Qi Chen, Tianyu Bai, Andy Qin, Hongsheng Lu, Heng Fan, Song Fu, Qing Yang:
SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles. CoRR abs/2312.04822 (2023) - [i8]Sudip Dhakal, Dominic Carrillo, Deyuan Qu, Michael Nutt, Qing Yang, Song Fu:
VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection. CoRR abs/2312.16141 (2023) - 2021
- [i7]Haili Wang, Jingda Guo, Xu Ma, Song Fu, Qing Yang, Yunzhong Xu:
Online Self-Evolving Anomaly Detection in Cloud Computing Environments. CoRR abs/2111.08232 (2021) - 2020
- [i6]Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu:
DCANet: Learning Connected Attentions for Convolutional Neural Networks. CoRR abs/2007.05099 (2020) - [i5]Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, Paparao Palacharla:
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles. CoRR abs/2009.11975 (2020) - [i4]Chao Zhang, Qibing Li, Zhi Jian Wang, Jiequan Li, Song Fu:
A two-stage fourth-order gas-kinetic CPR method for the Navier-Stokes equations on triangular meshes. CoRR abs/2010.08914 (2020) - 2019
- [i3]Qi Chen, Sihai Tang, Qing Yang, Song Fu:
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds. CoRR abs/1905.05265 (2019) - [i2]Qi Chen, Sihai Tang, Jacob Hochstetler, Jingda Guo, Yuan Li, Jinbo Xiong, Qing Yang, Song Fu:
Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks. CoRR abs/1912.01080 (2019) - 2014
- [i1]Xiajun Wang, Song Huang, Song Fu, Krishna Kavi:
Characterizing Workload of Web Applications on Virtualized Servers. CoRR abs/1402.3549 (2014)
Coauthor Index
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