A Rate-Based Multicast Protocol for Large-Scale Reliable Transport. - Song Fu; Zhiquan Jin; Peipei Chen (AINA, 2003)

Privilege Delegation and Agent-Oriented Access Control in Naplet. - Cheng-Zhong Xu 001; Song Fu (ICDCS Workshops, 2003)

Migration Decision for Hybrid Mobility in Reconfigurable Distributed Virtual Machines. - Song Fu; Cheng-Zhong Xu 001 (ICPP, 2004)

Service Migration in Distributed Virtual Machines for Adaptive Grid Computing. - Song Fu; Cheng-Zhong Xu 001 (ICPP, 2005)

A Coordinated Spatio-Temporal Access Control Model for Mobile Computing in Coalition Environments. - Song Fu; Cheng-Zhong Xu 001 (IPDPS, 2005)

Distributed Shared Arrays: An Integration of Message Passing and Multithreading on SMP Clusters. - Ramzi Basharahil; Brian Wims; Cheng-Zhong Xu 001; Song Fu (J. Supercomput., 2005)

Distributed shared arrays: A distributed virtual machine with mobility support for reconfiguration. - Song Fu; Cheng-Zhong Xu 001; Brian Wims; Ramzi Basharahil (Clust. Comput., 2006)

On the multidimensional gas-kinetic BGK scheme. - Qibing Li; Song Fu (J. Comput. Phys., 2006)

Stochastic modeling and analysis of hybrid mobility in reconfigurable distributed virtual machines. - Song Fu; Cheng-Zhong Xu 001 (J. Parallel Distributed Comput., 2006)

Exploring event correlation for failure prediction in coalitions of clusters. - Song Fu; Cheng-Zhong Xu 001 (SC, 2007)

Quantifying Temporal and Spatial Correlation of Failure Events for Proactive Management. - Song Fu; Cheng-Zhong Xu 001 (SRDS, 2007)

Coordinated access control with temporal and spatial constraints on mobile execution in coalition environments. - Song Fu; Cheng-Zhong Xu 001 (Future Gener. Comput. Syst., 2007)

Generation of vortices by a streamwise oscillating cylinder. - Mahbub Alam; Song Fu; Yu Zhou (J. Vis., 2007)

Random choices for churn resilient load balancing in peer-to-peer networks. - Song Fu; Cheng-Zhong Xu 001; Haiying Shen (IPDPS, 2008)

Proactive Resource Management for Failure Resilient High Performance Computing Clusters. - Song Fu; Cheng-Zhong Xu 001 (ARES, 2009)

Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing. - Song Fu (CCGRID, 2009)

An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems. - Derek Smith; Qiang Guan; Song Fu (COMPSAC Workshops, 2010)

Anomaly detection in large-scale coalition clusters for dependability assurance. - Qiang Guan; Derek Smith; Song Fu (HiPC, 2010)

auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems. - Qiang Guan; Song Fu (IPCCC, 2010)

Profiling and analysis of power consumption for virtualized systems and applications. - Ziming Zhang; Song Fu (IPCCC, 2010)

Failure prediction for autonomic management of networked computer systems with availability assurance. - Ziming Zhang; Song Fu (IPDPS Workshops, 2010)

Dependability enhancement for coalition clusters with autonomic failure management. - Song Fu (ISCC, 2010)

A high-order gas-kinetic Navier-Stokes flow solver. - Qibing Li; Kun Xu 001; Song Fu (J. Comput. Phys., 2010)

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

Quantifying event correlations for proactive failure management in networked computing systems. - Song Fu; Cheng-Zhong Xu 001 (J. Parallel Distributed Comput., 2010)

Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems. - Qiang Guan; Ziming Zhang; Song Fu (ARES, 2011)

Characterizing Power and Energy Usage in Cloud Computing Systems. - Ziming Zhang; Song Fu (CloudCom, 2011)

Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. - Nathan DeBardeleben; Sean Blanchard; Qiang Guan; Ziming Zhang; Song Fu (Euro-Par Workshops (2), 2011)

Performance Metric Selection for Autonomic Anomaly Detection on Cloud Computing Systems. - Song Fu (GLOBECOM, 2011)

Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. - Qiang Guan; Ziming Zhang; Song Fu (ICCCN, 2011)

Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing. - Ziming Zhang; Song Fu (IPCCC, 2011)

A gas-kinetic BGK scheme for gas-water flow. - Qibing Li; Song Fu (Comput. Math. Appl., 2011)

Randomized load balancing strategies with churn resilience in peer-to-peer networks. - Song Fu; Cheng-Zhong Xu 001; Haiying Shen (J. Netw. Comput. Appl., 2011)

A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines. - Song Fu; Jianguo Liu 001; Husanbir Singh Pannu (ADMA, 2012)

A self-evolving anomaly detection framework for developing highly dependable utility clouds. - Husanbir Singh Pannu; Jianguo Liu 001; Song Fu (GLOBECOM, 2012)

AFD: Adaptive failure detection system for cloud computing infrastructures. - Husanbir Singh Pannu; Jianguo Liu 001; Qiang Guan; Song Fu (IPCCC, 2012)

An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. - Ziming Zhang; Qiang Guan; Song Fu (IPCCC, 2012)

Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds. - Qiang Guan; Chi-Chen Chiu; Ziming Zhang; Song Fu (NAS, 2012)

CDA: A Cloud Dependability Analysis Framework for Characterizing System Dependability in Cloud Computing Infrastructures. - Qiang Guan; Chi-Chen Chiu; Song Fu (PRDC, 2012)

AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures. - Husanbir Singh Pannu; Jianguo Liu 001; Song Fu (SRDS, 2012)

Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems. - Qiang Guan; Ziming Zhang; Song Fu (J. Commun., 2012)

Wavelet-based multi-scale anomaly identification in cloud computing systems. - Qiang Guan; Song Fu (GLOBECOM, 2013)

Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems. - Qiang Guan; Song Fu; Nathan DeBardeleben; Sean Blanchard (PRDC, 2013)

Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures. - Qiang Guan; Song Fu (SRDS, 2013)

F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability. - Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Song Fu (IPDPS, 2014)

Trapped capacity: scheduling under a power cap to maximize machine-room throughput. - Ziming Zhang; Michael Lang 003; Scott Pakin; Song Fu (E2SC@SC, 2014)

Characterizing Workload of Web Applications on Virtualized Servers. - Xiajun Wang; Song Huang; Song Fu; Krishna Kavi (BPOE@ASPLOS/VLDB, 2014)

A PN PM - CPR Framework for Hyperbolic Conservation Laws. - Lei Shi; Zhi Jian Wang; L. P. Zhang; Wei Liu; Song Fu (J. Sci. Comput., 2014)

MR-Graph: A Customizable GPU MapReduce. - Zhi Qiao 001; Shuwen Liang; Hai Jiang 003; Song Fu (CSCloud, 2015)

Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection. - Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Song Fu (FTXS@HPDC, 2015)

Characterizing Disk Failures with Quantified Disk Degradation Signatures: An Early Experience. - Song Huang; Song Fu; Quan Zhang 001; Weisong Shi (IISWC, 2015)

PASSI: A Parallel, Reliable and Scalable Storage Software Infrastructure for active storage system and I/O environments. - Hsing-bung Chen; Song Fu (IPCCC, 2015)

A customizable MapReduce framework for complex data-intensive workflows on GPUs. - Zhi Qiao 001; Shuwen Liang; Hai Jiang 003; Song Fu (IPCCC, 2015)

Differentiated Failure Remediation with Action Selection for Resilient Computing. - Song Huang; Song Fu; Nathan DeBardeleben; Qiang Guan; Cheng-Zhong Xu 001 (PRDC, 2015)

Measurement and characterization of Haswell power and energy consumption. - Song Huang; Michael Lang 003; Scott Pakin; Song Fu (E2SC@SC, 2015)

Improving Coding Performance and Energy Efficiency of Erasure Coding Process for Storage Systems - A Parallel and Scalable Approach. - Hsing-bung Chen; Song Fu (CLOUD, 2016)

Characterizing power and energy efficiency of legion runtime and applications: An early experience. - Song Huang; Song Fu; Scott Pakin; Michael Lang 003 (IGSC, 2016)

An Optimal Police Patrol Planning Strategy for Smart City Safety. - Jacob Hochstetler; Lauren Hochstetler; Song Fu (HPCC/SmartCity/DSS, 2016)

Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs. - Elisabeth Baseman; Sean Blanchard; Zongze Li; Song Fu (ICMLA, 2016)

Quantifying entity criticality for fault impact analysis and dependability enhancement in software-defined networks. - Song Huang; Zhiang Deng; Song Fu (IPCCC, 2016)

Parallel Erasure Coding: Exploring Task Parallelism in Erasure Coding for Enhanced Bandwidth and Energy Efficiency. - Hsing-bung Chen; Song Fu (NAS, 2016)

TracSim: Simulating and scheduling trapped power capacity to maximize machine room throughput. - Ziming Zhang; Michael Lang 003; Scott Pakin; Song Fu (Parallel Comput., 2016)

Addressing statistical significance of fault injection: empirical studies of the soft error susceptibility. - Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Song Fu (Int. J. High Perform. Comput. Netw., 2017)

Converting Unstructured System Logs into Structured Event List for Anomaly Detection. - Zongze Li; Matthew Davidson; Song Fu; Sean Blanchard; Michael Lang 003 (ARES, 2018)

Developing Cost-Effective Data Rescue Schemes to Tackle Disk Failures in Data Centers. - Zhi Qiao 001; Jacob Hochstetler; Shuwen Liang; Song Fu; Hsing-bung Chen; Bradley W. Settlemyer (BigData Congress, 2018)

Reliability Characterization of Solid State Drives in a Scalable Production Datacenter. - Shuwen Liang; Zhi Qiao 001; Jacob Hochstetler; Song Huang; Song Fu; Weisong Shi; Devesh Tiwari; Hsing-Bung Chen; Bradley W. Settlemyer; David Richard Montoya (IEEE BigData, 2018)

ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing. - Zhi Qiao 001; Shuwen Liang; Nandini Damera; Song Fu; Hsing-bung Chen; Michael Lang 003 (IEEE BigData, 2018)

UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems. - Hsing-bung Chen; Qiang Guan; Song Fu (DASC/PiCom/DataCom/CyberSciTech, 2018)

Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems. - Zhi Qiao 001; Jacob Hochstetler; Shuwen Liang; Song Fu; Hsing-bung Chen; Bradley W. Settlemyer (DASC/PiCom/DataCom/CyberSciTech, 2018)

Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. - Mohit Kumar; Saurabh Gupta 002; Tirthak Patel; Michael Wilder; Weisong Shi; Song Fu; Christian Engelmann; Devesh Tiwari (DSN, 2018)

Embedded Deep Learning for Vehicular Edge Computing. - Jacob Hochstetler; Rahul Padidela; Qi Chen 018; Qing Yang 003; Song Fu (SEC, 2018)

Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems. - Zongze Li; Matthew Davidson; Song Fu; Sean Blanchard; Michael Lang 003 (HPCC/SmartCity/DSS, 2018)

DStore: A Holistic Key-Value Store Exploring Near-Data Processing and On-Demand Scheduling for Compaction Optimization. - Hui Sun 002; Wei Liu; Zhi Qiao 001; Song Fu; Weisong Shi (IEEE Access, 2018)

A unified gas-kinetic scheme for axisymmetric flow in all Knudsen number regimes. - Shiyi Li; Qibing Li; Song Fu; Kun Xu 001 (J. Comput. Phys., 2018)

A third-order gas-kinetic CPR method for the Euler and Navier-Stokes equations on triangular meshes. - Chao Zhang; Qibing Li; Song Fu; Zhi Jian Wang (J. Comput. Phys., 2018)

Applying SDN based data network on HPC Big Data Computing - Design, Implementation, and Evaluation. - Hsing-bung Chen; Zhi Qiao 001; Song Fu (IEEE BigData, 2019)

Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL. - Zongze Li; Song Fu (IEEE BigData, 2019)

An Empirical Study of Quad-Level Cell (QLC) NAND Flash SSDs for Big Data Applications. - Shuwen Liang; Zhi Qiao 001; Sihai Tang; Jacob Hochstetler; Song Fu; Weisong Shi; Hsing-Bung Chen (IEEE BigData, 2019)

Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data. - Sihai Tang; Zhaochen Gu; Qing Yang 003; Song Fu (IEEE BigData, 2019)

Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study. - Zhi Qiao 001; Song Fu; Hsing-Bung Chen; Bradley W. Settlemyer (CLUSTER, 2019)

Characterizing and Modeling Reliability of Declustered RAID for HPC Storage Systems. - Zhi Qiao 001; Shuwen Liang; Song Fu; Hsing-Bung Chen; Bradley W. Settlemyer (DSN (Industry Track), 2019)

F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds. - Qi Chen 018; Xu Ma 005; Sihai Tang; Jingda Guo; Qing Yang 003; Song Fu (SEC, 2019)

Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies. - Zongze Li; Song Fu; Sean Blanchard; Michael Lang 003 (HPCC/SmartCity/DSS, 2019)

Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems. - Song Huang; Shuwen Liang; Song Fu; Weisong Shi; Devesh Tiwari; Hsing-bung Chen (ICAC, 2019)

Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds. - Qi Chen 018; Sihai Tang; Qing Yang 003; Song Fu (ICDCS, 2019)

Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks. - Qi Chen 018; Sihai Tang; Jacob Hochstetler; Jingda Guo; Yuan Li 054; Jinbo Xiong; Qing Yang 003; Song Fu (ICII, 2019)

A novel unsupervised anomaly detection for gas turbine using Isolation Forest. - Shisheng Zhong; Song Fu; Lin Lin 014; Xuyun Fu; Zhiquan Cui; Rui Wang (ICPHM, 2019)

Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores. - Hui Sun 002; Wei Liu; Jianzhong Huang 001; Song Fu; Zhi Qiao 001; Weisong Shi (ICPP, 2019)

Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance in HPC Storage Systems. - Zhi Qiao 001; Shuwen Liang; Hsing-Bung Chen; Song Fu; Bradley W. Settlemyer (SRDS, 2019)

MOWS: Multi-objective workflow scheduling in cloud computing based on heuristic algorithm. - Farzaneh Abazari; Morteza Analoui; Hassan Takabi; Song Fu (Simul. Model. Pract. Theory, 2019)

Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. - Zhen Meng; Song Fu; Jie Yan; Hongyuan Liang; Anfu Zhou; Shilin Zhu; Huadong Ma; Jianhua Liu 004; Ning Yang 010 (AAAI, 2020)

A middle-ware approach to leverage the distributed data de-duplication capability on HPC and Cloud storage systems. - Hsing-bung Chen; Sihai Tang; Song Fu (IEEE BigData, 2020)

Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks. - Xu Ma 005; Zhinan Qiao; Jingda Guo; Sihai Tang; Qi Chen 018; Qing Yang 003; Song Fu (ICIP, 2020)

Spanet: Spatial Pyramid Attention Network for Enhanced Image Recognition. - Jingda Guo; Xu Ma 005; Andrew Sansom; Mara McGuire; Andrew Kalaani; Qi Chen 018; Sihai Tang; Qing Yang 003; Song Fu (ICME, 2020)

Attention Meets Normalization and Beyond. - Xu Ma 005; Jingda Guo; Qi Chen 018; Sihai Tang; Qing Yang 003; Song Fu (ICME, 2020)

Cooperative Mixed Reality Leveraging Edge Computing and Communication. - Sihai Tang; Bruce Haidi Chen; Jacob Hochstetler; Jason Hirsch; Song Fu (SEC, 2020)

Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position. - Xu Ma 005; Song Fu (IJCAI, 2020)

DCANet: Learning Connected Attentions for Convolutional Neural Networks. - Xu Ma 005; Jingda Guo; Sihai Tang; Zhinan Qiao; Qi Chen 018; Qing Yang 003; Song Fu (CoRR, 2020)

CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles. - Jingda Guo; Dominic Carrillo; Sihai Tang; Qi Chen 018; Qing Yang 003; Song Fu; Xi Wang 001; Nannan Wang 003; Paparao Palacharla (CoRR, 2020)

VECFrame: A Vehicular Edge Computing Framework for Connected Autonomous Vehicles. - Sihai Tang; Bruce Haidi Chen; Harold Iwen; Jason Hirsch; Song Fu; Qing Yang 003; Paparao Palacharla; Nannan Wang 003; Xi Wang 001; Weisong Shi (EDGE, 2021)

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Hui Zhao 013; Song Fu (FPGA, 2021)

Learning Connected Attentions for Convolutional Neural Networks. - Xu Ma 005; Jingda Guo; Sihai Tang; Zhinan Qiao; Qi Chen 018; Qing Yang 003; Song Fu; Paparao Palacharla; Nannan Wang 003; Xi Wang 001 (ICME, 2021)

CoConv: Learning Dynamic Cooperative Convolution for Image Recognition. - Kien X. Nguyen 002; Tiffany Ryu; Jocelyn Zhang; Xu Ma 005; Qing Yang 003; Song Fu; Paparao Palacharla; Nannan Wang 003; Xi Wang 001 (ICME, 2021)

Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. - Zhaochen Gu; Sihai Tang; Beilei Jiang; Song Huang; Qiang Guan; Song Fu (IPDPS Workshops, 2021)

Signal Processing for TDM MIMO FMCW Millimeter-Wave Radar Sensors. - Xinrong Li; Xiaodong Wang; Qing Yang 003; Song Fu (IEEE Access, 2021)

Online Self-Evolving Anomaly Detection in Cloud Computing Environments. - Haili Wang; Jingda Guo; Xu Ma 005; Song Fu; Qing Yang 003; Yunzhong Xu (CoRR, 2021)

A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection. - Song Fu; Shisheng Zhong; Lin Lin 014; Minghang Zhao (Eng. Appl. Artif. Intell., 2021)

CoFF: Cooperative Spatial Feature Fusion for 3-D Object Detection on Autonomous Vehicles. - Jingda Guo; Dominic Carrillo; Sihai Tang; Qi Chen 018; Qing Yang 003; Song Fu; Xi Wang 001; Nannan Wang 003; Paparao Palacharla (IEEE Internet Things J., 2021)

Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system. - Mohit Kumar; Saurabh Gupta 002; Tirthak Patel; Michael Wilder; Weisong Shi; Song Fu; Christian Engelmann; Devesh Tiwari (J. Parallel Distributed Comput., 2021)

Machine-Learning-Enabled Cooperative Perception for Connected Autonomous Vehicles: Challenges and Opportunities. - Qing Yang 003; Song Fu; Honggang Wang 001; Hua Fang 001 (IEEE Netw., 2021)

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains. - Song Fu; Yongjian Zhang; Lin Lin 014; Minghang Zhao; Shi-sheng Zhong (Reliab. Eng. Syst. Saf., 2021)

Spatial Pyramid Attention for Deep Convolutional Neural Networks. - Xu Ma 005; Jingda Guo; Andrew Sansom; Mara McGuire; Andrew Kalaani; Qi Chen 018; Sihai Tang; Qing Yang 003; Song Fu (IEEE Trans. Multim., 2021)

Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles. - Chenxi Qiu; Sourabh Yadav; Anna Cinzia Squicciarini; Qing Yang 003; Song Fu; Juanjuan Zhao; Chengzhong Xu 001 (ICDCS, 2022)

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Song Fu; Qing Yang 003; Mingxiong Liu (IPDPS, 2022)

Online Self-Evolving Anomaly Detection for Reliable Cloud Computing. - Tianyu Bai; Haili Wang; Jingda Guo; Xu Ma 005; Mahendra Talasila; Sihai Tang; Song Fu; Qing Yang 003 (UCC, 2022)

Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing. - Tianyu Bai; Song Fu; Qing Yang 003 (Future Internet, 2022)

Slim-FCP: Lightweight-Feature-Based Cooperative Perception for Connected Automated Vehicles. - Jingda Guo; Dominic Carrillo; Qi Chen 018; Qing Yang 003; Song Fu; Hongsheng Lu; Rui Guo (IEEE Internet Things J., 2022)

A two-stage fourth-order gas-kinetic CPR method for the Navier-Stokes equations on triangular meshes. - Chao Zhang; Qibing Li; Zhi Jian Wang; Jiequan Li; Song Fu (J. Comput. Phys., 2022)

A storage computing architecture with multiple NDP devices for accelerating compaction performance in LSM-tree based KV stores. - Hui Sun 002; Qiang Wang; Yinliang Yue; Yuhong Zhao; Song Fu (J. Syst. Archit., 2022)

A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction. - Song Fu; Shisheng Zhong; Lin Lin 014; Minghang Zhao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles. - Sihai Tang; Shengze Wang 004; Song Fu; Qing Yang 003 (EDGE, 2023)

$ mathrm{P}^{3}$: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy. - Tianyu Bai; Danyang Shao; Ying He; Song Fu; Qing Yang 003 (ICCCN, 2023)

Output-Directed Dynamic Quantization for DNN Acceleration. - Beilei Jiang; Xianwei Cheng; Yuan Li 054; Jocelyn Zhang; Song Fu; Qing Yang 003; Mingxiong Liu; Alejandro Olvera (ICPP, 2023)

User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing. - Tianyu Bai; Qing Yang 003; Song Fu (SEC, 2023)

Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems. - Zhaochen Gu; Venkata Mani Krishna Karri; Shashank Sharma; Hang Tran; Aishwarya Manjunath; Donger Chen; Song Fu; Narendra B. Dahotre (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Sniffer Faster R-CNN: A Joint Camera-LiDAR Object Detection Framework with Proposal Refinement. - Sudip Dhakal; Qi Chen 018; Deyuan Qu; Dominic Carrillo; Qing Yang 003; Song Fu (MOST, 2023)

SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles. - Deyuan Qu; Qi Chen 018; Tianyu Bai; Andy Qin; Hongsheng Lu; Heng Fan 001; Song Fu; Qing Yang 003 (CoRR, 2023)

VirtualPainting: Addressing Sparsity with Virtual Points and Distance-Aware Data Augmentation for 3D Object Detection. - Sudip Dhakal; Dominic Carrillo; Deyuan Qu; Michael Nutt; Qing Yang 003; Song Fu (CoRR, 2023)

Novel aeroengine fault diagnosis method based on feature amplification. - Lin Lin 014; Wenhui He; Song Fu; Changsheng Tong; Lizheng Zu (Eng. Appl. Artif. Intell., 2023)

A novel method for aeroengine performance model reconstruction based on CDAE model. - Lin Lin 014; Wenhui He; Feng Guo; Song Fu; Changsheng Tong; Lizheng Zu (Adv. Eng. Informatics, 2023)

A Self-Attention Integrated Learning Model for Landing Gear Performance Prediction. - Lin Lin 014; Changsheng Tong; Feng Guo; Song Fu; Yancheng Lv; Wenhui He (Sensors, 2023)

Using combinatorial optimization to solve entity alignment: An efficient unsupervised model. - Lin Lin 014; Lizheng Zu; Feng Guo; Song Fu; Yancheng Lv; Hao Guo; Jie Liu (Neurocomputing, 2023)

A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process. - Zhaochen Gu; Shashank Sharma; Daniel A. Riley; Mangesh V. Pantawane; Sameehan S. Joshi; Song Fu; Narendra B. Dahotre (J. Intell. Manuf., 2023)

HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles. - Deyuan Qu; Qi Chen 018; Yongqi Zhu; Yihao Zhu; Sergei S. Avedisov; Song Fu; Qing Yang 003 (ECCV Workshops (8), 2024)

SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles. - Deyuan Qu; Qi Chen 018; Tianyu Bai; Hongsheng Lu; Heng Fan 001; Hao Zhang; Song Fu; Qing Yang 003 (IROS, 2024)

Impact of Environmental Factors on Flash Storage Performance in Autonomous Vehicles: An Empirical and Analytical Study. - Ying He; Shuwen Liang; Song Fu (MOST, 2024)

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines. - Lin Lin 014; Jinlei Wu; Song Fu; Sihao Zhang; Changsheng Tong; Lizheng Zu (Adv. Eng. Informatics, 2024)

GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. - Yifan Jiao; Yunhao Li; Junhua Ding; Qing Yang 003; Song Fu; Heng Fan 001; Libo Zhang 001 (CoRR, 2024)

Integrating adversarial training strategies into deep autoencoders: A novel aeroengine anomaly detection framework. - Lin Lin 014; Lizheng Zu; Song Fu; Yikun Liu; Sihao Zhang; Shiwei Suo; Changsheng Tong (Eng. Appl. Artif. Intell., 2024)

PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks. - Lizheng Zu; Lin Lin 014; Song Fu; Jie Liu; Shiwei Suo; Wenhui He; Jinlei Wu; Yancheng Lv (Inf. Syst., 2024)

SelectE: Multi-scale adaptive selection network for knowledge graph representation learning. - Lizheng Zu; Lin Lin 014; Song Fu; Feng Guo; Jinlei Wu (Knowl. Based Syst., 2024)

DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications. - Song Fu; Limin Zou; Yue Wang 087; Lin Lin 014; Yifan Lu; Minghang Zhao; Feng Guo; Shisheng Zhong (Reliab. Eng. Syst. Saf., 2024)

MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction. - Song Fu; Lin Lin 014; Yue Wang 087; Feng Guo; Minghang Zhao; Baihong Zhong; Shisheng Zhong (Reliab. Eng. Syst. Saf., 2024)

SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks. - Lizheng Zu; Lin Lin 014; Jie Liu; Song Fu; Changsheng Tong; Hao Guo (Expert Syst. Appl., 2024)

Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration. - Lizheng Zu; Lin Lin 014; Song Fu; Na Zhao; Pan Zhou (CVPR, 2025)

Sound: Unknown Object Detection for Autonomous Driving. - Donger Chen; Xu Ma 005; Ying He; Wang Feng; Qing Yang 003; Song Fu; Ted Tsao (MOST, 2025)

D2SO: Detecting Distant and Small Objects for Vision-Based Vehicle Autonomous Systems. - Hanzhi Zhang; Harold Lucero; Kewei Sha; Heng Fan 001; Song Fu; Yunhe Feng (MOST, 2025)

FD-LLM: Large language model for fault diagnosis of complex equipment. - Lin Lin; Sihao Zhang; Song Fu; Yikun Liu (Adv. Eng. Informatics, 2025)

Continual contrastive reinforcement learning: Towards stronger agent for environment-aware fault diagnosis of aero-engines through long-term optimization under highly imbalance scenarios. - Haoze Wu; Shisheng Zhong; Minghang Zhao; Xuyun Fu; Yongjian Zhang; Song Fu (Adv. Eng. Informatics, 2025)

An adaptive integrated learning-based virtual sensing framework for temperature prediction in aircraft brake monitoring engineering. - Lin Lin; Yin Chen; Song Fu; Hao Zhang; Jinlei Wu (Eng. Appl. Artif. Intell., 2025)

PSTFormer: A novel parallel spatial-temporal transformer for remaining useful life prediction of aeroengine. - Song Fu; Yiming Jia; Lin Lin 014; Shiwei Suo; Feng Guo; Sihao Zhang; Yikun Liu (Expert Syst. Appl., 2025)

Prototype matching-based meta-learning model for few-shot fault diagnosis of mechanical system. - Lin Lin 014; Sihao Zhang; Song Fu; Yikun Liu; Shiwei Suo; Guolei Hu (Neurocomputing, 2025)

CUR-Estimator: Towards reliable missing data imputation for aero-engine degradation process. - Haoze Wu; Shisheng Zhong; Minghang Zhao; Xuyun Fu; Yongjian Zhang; Song Fu (Neurocomputing, 2025)

Differential contrast guidance for aeroengine fault diagnosis with limited data. - Wenhui He; Lin Lin 014; Song Fu; Changsheng Tong; Lizheng Zu (J. Intell. Manuf., 2025)

DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. - Mingchen Li; Heng Fan 001; Song Fu; Junhua Ding; Yunhe Feng (CoRR, 2025)

M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark. - Morui Zhu; Yongqi Zhu; Yihao Zhu; Qi Chen 018; Deyuan Qu; Song Fu; Qing Yang 003 (CoRR, 2025)

DKAMFormer: Domain Knowledge-Augmented Multiscale Transformer for Remaining Useful Life Prediction of Aeroengine. - Song Fu; Yue Wang 087; Lin Lin 014; Minghang Zhao; Lizheng Zu; Yifan Lu; Feng Guo; Shiwei Suo; Yikun Liu; Sihao Zhang; Shisheng Zhong (IEEE CAA J. Autom. Sinica, 2025)

GIRMSF-global information reconstruction and multi-scale feature sharpening framework for knowledge graph embedding. - Lin Lin 014; Shiwei Suo; Song Fu; Lizheng Zu; Sihao Zhang; Yikun Liu (Expert Syst. Appl., 2026)