Song Fu

Previous Scheduled Teaching

Published Intellectual Contributions

Book Chapter

• Guan, Q., DeBardeleben, N., Blanchard, S., Fu, S., Davis, C.H., Jones, W. (2016). Analyzing the Robustness of HPC Applications Using a Fine-Grained Soft Error Fault Injection Tool. 277-305. Innovative Research and Applications in Next-Generation High Performance Computing.

Conference Proceeding

• Gu, Z., Krishna Karri, V., Sharma, S., Tran, H., Manjunath, A., Chen, D., Fu, S., Dahotre, N. (2023). Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems. IEEE International Conference on Smart Data (SmartData).
• Jiang, B., Cheng, X., Li, Y., Fu, S., Yang, Q., Liu, M., Olvera, A. (2023). Output-Directed Dynamic Quantization for DNN Acceleration. 645-654. International Conference on Parallel Processing (ICPP).
• Bai, T., Shao, D., He, Y., Fu, S., Yang, Q. (2023). P3: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy. 2023 32nd International Conference on Computer Communications and Networks (ICCCN). 1--10.
• Tang, S., Wang, S., Fu, S., Yang, Q. (2023). Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles. 2023 IEEE International Conference on Edge Computing and Communications (EDGE). 104--114.
• Dhakal, S., Chen, Q., Qu, D., Carillo, D., Yang, Q., Fu, S. (2023). Sniffer Faster R-CNN: A Joint Camera-LiDAR Object Detection Framework with Proposal Refinement. 2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST). 1--10.
• Kvapil , J., Bossi, H., Corrales Morales, Y., Da Costa, H., Da Silva, C., Liu, M., Fu, S., Hao, C., Purschke, M. (2023). A Real-Time AI-FPGA-based Triggering System for sPHENIX at RHIC Primary. International Conference on on Electronics for Particle Physics (TWEPP).
• He, Y., Fu, S. (2023). 2D Error Correction Code for Flash Memory. Flash Memory Summit Conference & Exhibition.
• Sharma, S., Parsazadeh, M., Gu, Z., Dahotre, N., Fu, S. (2023). A High-Fidelity Numerical Model Informed Machine Learning Framework for Melt Pool Prediction in Laser Additive Manufacturing. TMS Annual Conference & Exhibition, Materials Processing Fundamentals.
• Tang, S., Whitney, K., Wang, B., Fu, S., Yang, Q. (2022). Characterization of Real-Time Object Detection Workloads on Vehicular Edge. 2022 Fifth International Conference on Connected and Autonomous Driving (MetroCAD). 30--38.
• Bai, T., Wang, H., Guo, J., Ma, X., Talasila, M., Tang, S., Fu, S., Yang, Q. (2022). Online Self-Evolving Anomaly Detection for Reliable Cloud Computing. 1-10. IEEE/ACM International Conference on Utility and Cloud Computing (UCC), Best Paper Nomination.
• Jiang, B., Cheng, X., Tang, S., Ma, X., Gu, Z., Fu, S., Yang, Q., Liu, M. (2022). MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications.. International Parallel and Distributed Processing Symposium (IPDPS. 1184-1194. https://ieeexplore.ieee.org/abstract/document/9820611
• Sharma, S., Di, W., Gu, Z., Pantawane, M., Fu, S., Dahotre, N. (2022). A Physics Informed Machine Learning Framework for Melt Pool Geometry Prediction in Laser Powder Bed Fusion. TMS Annual Conference & Exhibition, Additive Manufacturing for Energy Applications.
• Qiu, C., Yadav, S., Squicciarini, A., Yang, Q., Fu, S., Zhao, J., Xu, C. Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles. Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS) 2022.
• Tang, S., Fu, S., Yang, Q. (2021). VECFrame: A Vehicular Edge Computing Framework for Connected Autonomous Vehicles. 1-10. IEEE International Conference on Edge Computing (EDGE).
• Dhakal, S., Qu, D., Carrillo, D., Yang, Q., Fu, S. (2021). OASD: An Open Approach to Self-Driving Vehicle. 2021 Fourth International Conference on Connected and Autonomous Driving (MetroCAD). 54--61.
• Nutt, M., Yang, Q., Fu, S. (2021). PlateGuard: License Plate Privacy Protection for Internet of Vehicles. 2021 Fourth International Conference on Connected and Autonomous Driving (MetroCAD). 41--47.
• Tang, S., Gu, Z., Fu, S., Yang, Q. (2021). Vehicular Edge Computing for Multi-Vehicle Perception. 2021 Fourth International Conference on Connected and Autonomous Driving (MetroCAD). 9--16.
• Nguyen, K., Ryu, T., Zhang, J., Ma, X., Yang, Q., Fu, S., Palacharla, P., Wang, N., Wang, X. (2021). CoConv: Learning Dynamic Cooperative Convolution for Image Recognition. 2021 IEEE International Conference on Multimedia and Expo (ICME).
• Ma, X., Guo, J., Tang, S., Qiao, Z., Chen, Q., Yang, Q., Fu, S., Palacharla, P., Wang, N., Wang, X. (2021). LEARNING CONNECTED ATTENTIONS FOR CONVOLUTIONAL NEURAL NETWORKS. IEEE International Conference on Multimedia and Expo (ICME) 2021.
• Gu, Z., Tang, S., Jiang, B., Huang, S., Guan, Q., Fu, S. (2021). Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). https://ieeexplore.ieee.org/abstract/document/9460684
• Jiang, B., Cheng, X., Tang, S., Ma, X., Gu, Z., Zhao, H., Fu, S. (2021). APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. https://dl.acm.org/doi/abs/10.1145/3431920.3439461
• Chen, H., Tang, S., Fu, S. (2020). A Middleware Approach to Leverage Distributed Data Deduplication Capability on HPC and Cloud Storage Systems. IEEE International Conference on Big Data (BigData).
• Tang, S., Chen, B., Hochstetler, J., Hirsch, J., Fu, S. (2020). Cooperative Mixed Reality Leveraging Edge Computing and Communication. ACM/IEEE Symposium on Edge Computing (SEC).
• Ma, X., Qiao, Z., Guo, J., Tang, S., , Q., Yang, Q., Fu, S. (2020). Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks. The 27th IEEE International Conference on Image Processing (ICIP).
• Ma, X., Guo, J., Chen, Q., Tang, S., Yang, Q., Fu, S. (2020). Attention Meets Normalization and Beyond. IEEE International Conference on Multimedia and Expo (ICME).
• Tang, S., Chen, H., Hochstetler, J., Hirsch, J., Fu, S. (2020). Exploring Edge Computing in Multi-Person Mixed Reality for Cooperative Perception. USENIX Workshop on Hot Topics in Edge Computing (HotEdge).
• Ma, X., Fu, S. (2020). Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position. The 29th International Joint Conference on Artificial Intelligence (IJCAI).
• Guo, J., Ma, X., Sansom, A., McGuire, M., Kalaani, A., Chen, Q., Tang, S., Yang, Q., Fu, S. (2020). SPANet: Spatial Pyramid Attention Network for Enhanced Image Recognition. IEEE International Conference on Multimedia and Expo. 1-6. IEEE. https://ieeexplore.ieee.org/abstract/document/9102906
• Ma, X., Qiao, Z., Yang, Q., Fu, S. (2020). Accurate Object Detection in Smart Transportation Using Multiple Cameras. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD 2020). IEEE.
• Guo, J., Yang, Q., Fu, S., Boyles, R., Turner, S., Clarke, K. (2020). Towards Trustworthy Perception InformationSharing on Connected and Autonomous Vehicles. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD 2020). IEEE.
• Li, Z., Fu, S. (2019). Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL. IEEE International Conference on Big Data (Big Data). 1-10. IEEE.
• Liang, S., Qiao, G., Tang, S., Hochstetler, J., Fu, S., Shi, W., Chen, H. (2019). An Empirical Study of Quad-Level Cell NAND Flash SSDs for Big Data Applications. IEEE International Conference on Big Data (Big Data). 1-10. IEEE.
• Tang, S., Gu, Z., Yang, Q., Fu, S. (2019). Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data. IEEE International Conference on Big Data (Big Data). 1-8. IEEE.
• Chen, Q., Ma, X., Tang, S., Guo, J., Yang, Q., Fu, S. (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. 88--100.
• Tang, S., Hochstetler, J., Li, Y., Fu, S. (2019). Low-latency High-level Data Sharing for Connected and Autonomous Vehicles. 2019 IEEE International Conference on Industrial Internet (ICII). https://ieeexplore.ieee.org/abstract/document/9065176
• Chen, Q., Tang, S., Hochstetler, J., Guo, J., Li, Y., Xiong, J., Yang, Q., Fu, S. (2019). Low-latency High-level Data Sharing for Connected and Autonomous Vehicular Networks. IEEE International Conference on Industrial Internet (ICII). 10. IEEE. http://www.ieee-icii.org/
• Qiao, G., Fu, S., Chen, H., Settlemyer, B. (2019). Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance. The 38th IEEE International Symposium on Reliable Distributed Systems (SRDS). 10. IEEE. https://srds-conference.org/
• Qiao, G., Fu, S., Chen, H., Settlemyer, B. (2019). Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study. The 21st IEEE International Conference on Cluster Computing (Cluster). 10. IEEE. https://clustercomp.org/2019/
• Sun, H., Liu , W., Huang, J., Fu, S., Qiao, G., Shi, W. (2019). Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores. The 48th IEEE International Conference on Parallel Processing (ICPP). 11. ACM. https://www.hpcs.cs.tsukuba.ac.jp/icpp2019/index.html
• Li, Z., Fu, S., Blanchard, S., Lang, M. (2019). Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies. The 21st IEEE International Conference on High Performance Computing and Communications (HPCC). 10. IEEE.
• Chen, Q., Tang, S., Yang, Q., Fu, S. (2019). Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds. 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS). 514-524.
• Qiao, G., Fu, S., Chen, H., Settlemyer, B. (2019). Characterizing and Modeling Reliability of Declustered RAID. The 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE. http://2019.dsn.org/
• Huang, S., Liang, S., Fu, S., Shi, W., Tiwari, D., Chen, H. (2019). Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems. IEEE International Conference on Autonomic Computing (ICAC). 10. IEEE. https://icac2019.cs.umu.se/
• Qiao, Z., Liang, S., Fu, S., Damera, N., Chen, H., Lang, M. (2018). ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing. 2018 IEEE International Conference on Big Data (BigData). 1--9.
• Liang, S., Qiao, Z., Hochstetler, J., Huang, S., Fu, S., Shi, W., Tiwari, D., Chen, H., Settlemyer, B., Montoya, D. (2018). Reliability Characterization of Solid State Drives in a Scalable Production Datacenter. 2018 IEEE International Conference on Big Data (BigData). 1--9.
• Li, Z., Davidson, M., Fu, S., Blanchard, S., Lang, M. (2018). Converting Unstructured System Logs into Structured Event List for Anomaly Detection. Proceedings of the 13th ACM International Conference on Availability, Reliability and Security. 1--15.
• Qiao, Z., Hochstetler, J., Liang, S., Fu, S., Chen, H., Settlemyer, B. (2018). Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems. 2018 IEEE Intl Conf on Big Data Intelligence and Computing (DataCom). 904--911.
• Chen, H., Guan, Q., Fu, S. (2018). UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems. 2018 IEEE Intl Conf on Big Data Intelligence and Computing (DataCom). 889--896.
• Qiao, Z., Hochstetler, J., Liang, S., Fu, S., Chen, H., Settlemyer, B. (2018). Developing Cost-Effective Data Rescue Schemes to Tackle Disk Failures in Data Centers. International Conference on Big Data. 194--208.
• Li, Z., Davidson, M., Fu, S., Blanchard, S., Lang, M. (2018). Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems. The 20th IEEE International Conference on High Performance Computing and Communications (HPCC). 1--8.
• Kumar, M., Gupta, S., Patel, T., Wilder, M., Shi, W., Fu, S., Engelmann, C., Tiwari, D. (2018). Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). 107--114.
• Huang, S., Fu, S. (2017). Research on Power Saving and Energy Efficiency for Data-Centric Computing on Production HPC Systems. 1--6. IEEE International Green and Sustainable Computing Conference (IGSC).
• Fu, S., Chen, H., Qiao, G. (2017). A Machine Learning based Disk Health Monitoring for Supporting Always-On Extreme Scale Storage Systems. ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC).
• Li, Z., Davidson, M., Fu, S., Blanchard, S., Lang, M. (2017). Event Block Analysis for Effective Anomaly Detection on Production HPC Systems. Proceedings of ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC).
• Huang, S., Fu, S., Shi, W., Tiwari, D. (2017). Proactive Disk Failure Management and Data Protection for Highly Available Storage Systems. Proceedings of ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC).
• Kumar, M., Tiwari, D., Shi, W., Gupta , S., Fu, S. (2017). Towards Understanding Interconnect Failures in HPC Systems. Proceedings of Greater Chicago Area Systems Research Workshop (GCASR).
• Huang, S., Deng , Z., Fu, S. (2016). Quantifying Topology Criticality for Fault Impact Analysis in Software-Defined Networks. 1--8. The 35th IEEE International Performance Computing and Communications Conference (IPCCC).
• Hochstetler, J., Hochstetler, L., Fu, S. (2016). An Optimal Police Patrol Planning Strategy for Smart City Safety. 1--8. The 14th IEEE International Conference on Smart City (SmartCity).
• Baseman, E., Blanchard, S., Li, Z., Fu, S. (2016). Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs. 1--8. The 15th IEEE International Conference on Machine Learning and Applications (ICMLA).
• Huang, S., Fu, S., Pakin , S., Lang, M. (2016). Characterizing Power and Energy Efficiency of Legion Runtime and Applications: An Early Experience. 1--10. IEEE International Green and Sustainable Computing Conference (IGSC).
• Chen, H., Fu, S. (2016). Parallel Erasure Coding: Exploring Task Parallelism in Erasure Coding for Enhanced Bandwidth. 1--6. IEEE International Conference on Networking, Architecture and Storage (NAS).
• Chen, H., Fu, S. (2016). Improving Coding Performance and Energy Efficiency of Erasure Coding Process for Storage Systems. 1--6. IEEE International Conference on Cloud Computing (CLOUD).
• Qiao, G., Liang, S., Jiang, H., Fu, S. (2015). A Customizable MapReduce Framework for Complex Data-Intensive Workflows on GPUs. The 34th IEEE International Performance Computing and Communications ConferencT.
• Chen, H., Fu, S. (2015). A Parallel, Reliable and Scalable Storage Software Infrastructure for Active Storage System and I/O Environments. 8. The 34th IEEE International Performance Computing and Communications Conference.
• Guan, Q., Debardeleben, N., Blanchard, S., Fu, S. (2015). Addressing Statistical Significance of Fault Injection: Empirical Studies of the Soft Error Susceptibility. 10. The 21st IEEE International Symposium on Dependable Computing.
• Huang, S., Fu, S., Debardeleben, N., Guan, Q., Xu, C. (2015). Differentiated Failure Remediation with Action Selection for Resilient Computing. 10. The 21st IEEE International Symposium on Dependable Computing.
• Guan, Q., DeBardeleben, N., Blanchard, S., Fu, S. (2015). Empirical Studies of the Soft Error Susceptibility of Sorting Algorithms to Statistical Fault Injection. Proceedings of Fault Tolerance for HPC at eXtreme Scale in the 24th International ACM Symposium on High Performance Distributed Computing (HPDC).
• Huang, S., Lang, M., Pakin, S., Fu, S. (2015). Measurement and Characterization of Haswell Power and Energy Consumption. 10. E2SC, IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
• Qiao, Z., Liang, S., Jiang, H., Fu, S. (2015). MR-Graph: a Customizable GPU MapReduce. IEEE International Conference on Cyber Security and Cloud Computing.
• Guan, Q., DeBardeleben, N., Blanchard , S., Fu, S. (2015). Addressing Statistical Significance of Fault Injection: Empirical Studies of the Soft Error Susceptibility. 10. The 21st IEEE/IFIP International Symposium on Dependable Computing.
• Huang, S., Fu, S., DeBardeleben, N., Guan, Q., Xu, C. (2015). Differentiated Failure Remediation with Action Selection for Resilient Computing. 10. The 21st IEEE/IFIP International Symposium on Dependable ComputinT.
• Huang, S., Lang, M., Pakin, S., Fu, S. (2015). Measurement and Characterization of Haswell Power and Energy Consumption. 10. E2SC, IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
• Huang, S., Fu, S., Zhang, Q., Shi, W. (2015). Characterizing Disk Failures with Quantified Disk Degradation Signatures: An Early Experience. 10. IEEE International Symposium on Workload Characterization (IISWC).
• Ren, H., Shao, J., Arigong, B., Zhou, M., Fu, S., Kim, H., Zhang, H. (2015). Simplified Doherty Power Amplifier Structures. IEEE Symposium on Wireless and Microwave Circuits and Systems (WMCS).
• Arigong, B., Zhou, M., Ren, H., Shao, J., Fu, S., Kim, H., Zhang, H. (2015). System Application of Planar Couplers. IEEE Symposium on Wireless and Microwave Circuits and Systems (WMCS).
• Guan, Q., DeBardeleben, N., Blanchard, S., Fu, S. (2015). Soft Error Susceptibility of Sorting Algorithms. 7. IEEE International Workshop on Silicon Errors in Logic - System Effects (SELSE).

Journal Article

• Gu, Z., Sharma, S., Riley, D., Fu, S., Dahotre, N. (2023). A Universal Predictor-Based Machine Learning Model for Optimal Process Maps in Laser Powder Bed Fusion Process. Other. 34 3341–3363.
• Gu, Z., Tran, H., Manjunath, A., Chen, D., Fu, S. (2023). AI Automated Microstructure Analysis for Intelligent Manufacturing. Journal of Robotics and Automation Technology.
• Dhakal, S., Carrillo, D., Qu, D., Yang, Q., Fu, S. (2023). Sniffer Faster R-CNN ++: An Efficient Camera-LiDAR Object Detector with Proposal Refinement on Fused Candidates. ACM Journal on Autonomous Transportation Systems.
• Guo, J., Carrillo, D., Chen, Q., Yang, Q., Fu, S., Lu, H., Guo, R. (2022). Slim-FCP: Lightweight-Feature-Based Cooperative Perception for Connected Automated Vehicles. Other. 9 (17) 15630--15638. IEEE.
• Bai, T., Fu, S., Yang, Q. (2022). Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing. Other. 14 (11) 1-17.
• Sun, H., Wang, Q., Yue, Y., Fu, S. (2022). A Storage Computing Architecture with Multiple NDP Devices for Accelerating Compaction Performance in LSM-Tree based KV Stores. Journal of Systems Architecture. 130 1-16. Elsevier.
• Guo, J., Carrillo, D., Tang, S., Chen, Q., Yang, Q., Fu, S., Wang, X., Wang, N., Palacharla, P. (2021). CoFF: Cooperative spatial feature fusion for 3-D object detection on autonomous vehicles. Other. 8 (14) 11078--11087. IEEE.
• Yang, Q., Fu, S., Wang, H., Fang, H. (2021). Machine-learning-enabled cooperative perception for connected autonomous vehicles: Challenges and opportunities. IEEE Network. 35 (3) 96--101. IEEE.
• Li, X., Wang, X., Yang, Q., Fu, S. (2021). Signal Processing for TDM MIMO FMCW Millimeter-Wave Radar Sensors. IEEE Access. IEEE. https://doi.org/10.1109/ACCESS.2021.3137387
• Kumar, M., Gupta, S., Patel, T., Shi, W., Fu, S., Engelmann, C., Tiwari, D. (2021). Study of Interconnect Errors, Network Congestion, and Applications Characteristics for Throttle Prediction on a Large Scale HPC System. Journal of Parallel and Distributed Computing (JPDC), vol. 65 (2005) pp. 153 29-43. Elsevier.
• Ma, X., Guo, J., Sansom, A., McGuir, M., Kalaani, A., Chen, Q., Tang, S., Yang, Q., Fu, S. (2021). Spatial Pyramid Attention for Deep Convolutional Neural Networks. IEEE Transactions on Multimedia. 23 3048 - 3058. IEEE.
• Abazari, F., Analoui, M., Takabi, H., Fu, S. (2019). MOWS: multi-objective workflow scheduling in cloud computing based on heuristic algorithm. Other. 93 119-132. Elsevier.
• Sun, H., Liu, W., Qiao, Z., Fu, S., Shi, W. (2018). DStore: A Holistic Key-Value Store Exploring Near-Data Processing and On-Demand Scheduling for Compaction Optimization. IEEE Access. 6 61233-61253.
• Guan, Q., DeBardeleben, N., Blanchard, S., Fu, S. (2017). Addressing Statistical Significance of Fault Injection: Empirical Studies of the Soft Error Susceptibility. 10 (4) 16. International Journal of High Performance Computing and Networking.
• Zhang, Z., Lang, M., Pakin, S., Fu, S. (2016). TracSim: Simulating and Scheduling Trapped Power Capacity to Maximize Machine Room Throughput. Parallel Computing. 57 108-124.
• Arigong, B., Ding, J., Ren, H., Zhou, M., Zhou, R., Fu, S., Kim, H., Zhang, H. (2015). An Improved Design of Dual-band 3dB 180° Directional Coupler. Progress In Electromagnetics Research (PIER). 56 (153-162)
• Shao, J., Ren, H., Zhou, M., Arigong, B., Ding, J., Fu, S., Kim, H., Zhang, H. (2015). Design of a Dual-Band Sequential Power Amplifier. Microwave and Optical Technology Letters.
• Shao, J., Ren, H., Zhou, M., Arigong, B., Ding, J., Fu, S., Kim, H., Zhang, H. (2015). Design of Dual-Band GaN Doherty Power Amplifier Using a Simplified Structure. Microwave and Optical Technology Letters. 57 (4) 5.
• Shao, J., Zhou, R., Yoon, S., Fu, S., Kim, H.S., Zhang, H. (2015). Design of a Tunable Sequential Power Amplifier. Microwave and Optical Technology Letters. 57 (4) 953-956.

Poster

• Chen, H., Qiao, G., Fu, S. (2019). Applying SDN based data network on HPC Big Data Computing – Design, Implementation, and Evaluation. IEEE International Conference on Big Data (Big Data). 2. IEEE.
• Chen, Q., Yang, Q., Fu, S. (2019). A Cooperative Perception Framework for Connected Autonomous Vehicles. Annual GPU Technology Conference.
• Qiao, Z., Fu, S., Chen, H., Settlemyer, B. (2018). Exploring Declustered RAID in ZFS for improved Storage Reliability and Availability. 2018 IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC).
• Hochstetler, J., Padidela, R., Chen, Q., Yang, Q., Fu, S. (2018). Embedded Deep Learning for Vehicular Edge Computing. 2018 ACM/IEEE Symposium on Edge Computing (SEC).
• Qiao, Z., Fu, S., Chen, H., Settlemyer, B. (2018). Characterizing Performance of Declustered RAID for HPC Storage Systems. 2018 DOE Los Alamos National Laboratory Research Symposium.
• Liang, S., Qiao, Z., Fu, S., Shi, W. (2018). In-Depth Reliability Characterization of NAND Flash based Solid State Drives in High Performance Computing Systems. The 47th IEEE International Conference on Parallel Processing (ICPP).
• Qiao, Z., Fu, S., Chen, H., Lang, M. (2017). Incorporating Proactive Data Rescue into ZFS Disk Recovery for Enhanced Storage Reliability. IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC).

Contracts, Grants and Sponsored Research

Grant - Research

• Li, X. (Co-Principal), Fu, S. (Principal), Yang, Q. (Co-Principal), Ding, J. (Co-Principal), "IUCRC Phase I: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)," sponsored by NSF, Federal, $750000 Funded. (2023 - 2028).
• Ding, J. (Principal), Kinshuk, X. (Co-Principal), Fu, S. (Co-Principal), Ludi, S.A. (Co-Principal), Chen, H. (Co-Principal), Hossain, T. (Co-Principal), Xiao, T. (Co-Principal), Feng, Y. (Co-Principal), Cleveland, A.D. (Co-Principal), Smith, D.L. (Co-Principal), Mankins, N. (Co-Principal), Booker, D.D. (Co-Principal), Carrillo, D. (Co-Principal), "NSF Includes ARISE Alliance Membership," sponsored by Arizona State University, Other, $64800 Funded. (2024 - 2027).
• Yang , Q. (Principal), Fu, S. (Co-Principal), "Development and Demonstration of Zero-Emission Technologies for Commercial Fleets," sponsored by Department of Energy (DOE), Federal, $500678 Funded. (2022 - 2026).
• Fu, S. (Principal), "Advanced Storage Solutions," sponsored by SAGE, National, $150000 Funded. (2022 - 2025).
• Yang, Q. (Principal), Fu, S. (Co-Principal), "Multi-Vehicle Cooperative Perception," sponsored by Toyota North America InfoTech Labs, International, $280000 Funded. (2022 - 2025).
• Fu, S. (Principal), Morozov, K. (Co-Principal), "North Texas GenCyber Academy," sponsored by National Security Agency and National Science Foundation, Federal, $139042 Funded. (2022 - 2024).
• Fu, S. (Principal), "University of North Texas GenCyber Academy," sponsored by National Security Agency and National Science Foundation, Federal, $134823 Funded. (2021 - 2023).
• Fu, S. (Principal), Yang, Q. (Co-Principal), "REU Site: Vehicular Edge Computing and Security," sponsored by National Science Foundation, Federal, $359993 Funded. (2019 - 2023).
• Fu, S., Zhao, X., Wang, J., "Travel: Student Travel Support for IEEE/ACM International Conferences on Utility and Cloud Computing (UCC 2022) and Big Data Computing, Applications and Technologies (BDCAT 2022)," sponsored by National Science Foundation, Federal, $32000 Funded. (2022 - 2023).
• Yang, Q. (Principal), Fu, S. (Co-Principal), Keathly, D. (Other), "CyberTraining: Implementation: Small: Collaborative and Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure," sponsored by National Science Foundation, Federal, $499841 Funded. (2020 - 2023).
• Yang, Q. (Principal), Fu, S. (Co-Principal), "Mobile Edge Computing," sponsored by Fujitsu Laboratories of America, International, $90000 Funded. (2021 - 2023).
• Fu, S. (Principal), Yang, Q. (Co-Principal), Li, X. (Co-Principal), "IUCRC Planning Grant University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)," sponsored by National Science Foundation, Federal, $20000 Funded. (2021 - 2022).
• Yang, Q. (Principal), Fu, S. (Co-Principal), "EAGER: SaTC: Privacy-Preserving Convolutional Neural Network for Cooperative Perception in Vehicular Edge Systems," sponsored by National Science Foundation, Federal, $99948 Funded. (2020 - 2022).
• Fu, S. (Principal), "North Texas GenCyber Academy," sponsored by NSA, Federal, $79277 Funded. (2020 - 2022).
• Fu, S. (Principal), Yang, Q. (Co-Principal), "Supplement: REU Site: Vehicular Edge Computing and Security: Research Experience for Undergraduates," sponsored by National Science Foundation, Federal, $20000 Funded. (2019 - 2021).
• Fu, S. (Principal), "Exploring Declustered RAID and Proactive Data Protection to Develop Always-On HPC Storage Systems," sponsored by DOE Los Alamos National Laboratory, Federal, $180000 Funded. (2018 - 2021).
• Kavi, K.M. (Principal), Fu, S. (Co-Principal), Zhao, H. (Co-Principal), "MRI Collaborative: Development of ESPRIT - Emerging systems’ performance and energy evaluation instruments and testbench," sponsored by Cost-Share from UNT for a NSF Grant, University of North Texas, $128572 Funded. (2018 - 2021).
• Kavi, K.M. (Principal), Fu, S. (Co-Principal), Zhao, H. (Co-Principal), "MRl Collaborative: Development of ESPRIT - Emerging systems' performance and energy evaluation instruments and testbench," sponsored by National Science Foundation, Federal, $300001 Funded. (2018 - 2021).
• Fu, S. (Principal), Shi, W. (Principal), "CSR: Medium: Exploiting Disk Performance Signatures for Cost-Effective Management of Large-Scale Storage Systems," sponsored by National Science Foundation, Federal, $700000 Funded. (2016 - 2021).
• Mishra , R. (Principal), Fu, S. (Co-Principal), Manzo , M. (Co-Principal), "Advanced Process Monitoring Solution for Weld Quality Control," sponsored by Hitachi America, Ltd., National, $40000 Funded. (2021 - 2021).
• Fu, S. (Principal), "REU Supplement: CSR: Medium: Collaborative Research: Wizard: Exploiting Disk Performance Signatures for Cost-Effective Management of Large-Scale Storage Systems," sponsored by National Science Foundation, Federal, $16000 Funded. (2017 - 2020).
• Fu, S. (Principal), "Characterizing Flash Storage Failures for Building Reliable Storage Systems," sponsored by DOE Los Alamos National Laboratory, Federal, $40000 Funded. (2018 - 2018).
• Fu, S. (Principal), "Developing Disk Health Analysis and Failure Prediction Tools for HPC Storage Systems," sponsored by DOE Los Alamos National Laboratory, Federal, $45000 Funded. (2016 - 2017).
• Fu, S., "Anomaly Detection in DOE High Performance Computing Systems Logs Using Machine Learning," sponsored by DOE Los Alamos National Laboratory, Federal, $47000 Funded. (2016 - 2017).
• Fu, S. (Principal), "Developing Scalable and Resilient Storage Systems by Exploring Open Ethernet Drives," sponsored by DOE Los Alamos National Laboratory, Federal, $85000 Funded. (2016 - 2017).
• Fu, S. (Principal), "Advanced Distributed Computing on Amazon EC2 Cloud," sponsored by Amazon Inc., Other, $16000 Funded. (2012 - 2016).
• Fu, S. (Principal), "Anomaly Detection in High Performance Computing Systems," sponsored by DOE, Federal, $90000 Funded. (2015 - 2016).
• Fu, S. (Principal), "Power-Aware Job Scheduling Under a Power Cap for DOE Trinity Supercomputer," sponsored by DOE LANL, Federal, $53600 Funded. (2015 - 2015).
• Fu, S. (Principal), "Soft Error Characterization and Resilience with GPGPUs," sponsored by NVIDIA, Other, $6000 Funded. (2014 - 2015).
• Yang, Q. (Principal), Fu, S. (Co-Principal), ""Cyber Training: Implementation: Small: Collaborative Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure"," sponsored by National Science Foundation, FED, Funded. (2020 - 2023).
• Yang, Q. (Principal), Fu, S. (Co-Principal), Keathly, D. (Other), "CyberTraining: Implementation: Small: Collaborative and Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure," sponsored by National Science Foundation, Federal, Funded. (2020 - 2023).
• Yang, Q. (Co-Principal), Fu, S. (Principal), "REU Site: Vehicular Edge Computing and Security: Research Experience for Undergraduates," sponsored by National Science Foundation, FED, Funded. (2019 - 2022).
• Yang, Q. (Principal), Fu, S. (Co-Principal), "EAGER: SaTC: Privacyÿ¿Preserving Convolutional Neural Network for Cooperative Perception in Vehicular Edge Systems," sponsored by National Science Foundation, FED, Funded. (2020 - 2022).
• Zhao, H. (Co-Principal), Kavi, K.M. (Principal), Fu, S. (Co-Principal), "MRI Collaborative: Development of ESPRIT - Emerging Systems' Performance and Energy Evaluation Instruments and Testbench," sponsored by National Science Foundation, FED, Funded. (2018 - 2022).
• Yang, Q. (Co-Principal), Fu, S. (Principal), Li, X. (Co-Principal), "IUCRC Planning Grant University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)," sponsored by National Science Foundation, FED, Funded. (2021 - 2022).
• Mishra, R.S. (Principal), "Microstructure and mechanical properties of 3DP printed metal alloy parts," sponsored by Hitachi America, Ltd., IND, Funded. (2020 - 2022).
• Fu, S. (Principal), "GenCyber," sponsored by NSA, Federal, Funded. (2020 - 2021).
• Fu, S. (Principal), Yang, Q. (Co-Principal), "Supplement: REU Site: Vehicular Edge Computing and Security: Research Experience for Undergraduates," sponsored by National Science Foundation, Federal, Funded. (2019 - 2021).
• Fu, S. (Principal), "CSR: Medium: Collaborative Research: Wizard: Exploiting Disk Performance Signatures For Cost Effective Management of Large Scale Storage Systems," sponsored by National Science Foundation, FED, Funded. (2016 - 2021).
• Fu, S. (Principal), Shi, W. (Principal), "CSR: Medium: Exploiting Disk Performance Signatures for Cost-Effective Management of Large-Scale Storage Systems," sponsored by National Science Foundation, Federal, Funded. (2016 - 2021).
• Fu, S. (Principal), Yang, Q. (Co-Principal), Li, X. (Co-Principal), "IUCRC Preliminary Proposal Planning Grant University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)," sponsored by National Science Foundation, Federal, Funded. (2020 - 2021).
• Fu, S. (Principal), "Exploring Declustered RAID and Proactive Data Protection to Develop Always-On HPC Storage Systems," sponsored by Los Alamos National Laboratory, FED, Funded. (2018 - 2021).
• Fu, S. (Principal), "REU Supplement: CSR: Medium: Collaborative Research: Wizard: Exploiting Disk Performance Signatures for Cost-Effective Management of Large-Scale Storage Systems," sponsored by National Science Foundation, Federal, Funded. (2017 - 2020).
• Fu, S. (Principal), "Characterizing Flash Storage Failures (SSD, NVMeor Trinity Burst-buffer node/BBN)," sponsored by Los Alamos National Laboratory, FED, Funded. (2018 - 2018).
• Fu, S. (Principal), "Characterizing Flash Storage Failures for Building Reliable Storage Systems," sponsored by DOE Los Alamos National Laboratory, Federal, Funded. (2018 - 2018).
• Fu, S. (Principal), "Developing Disk Health Analysis and Failure Prediction Tools for HPC Storage Systems," sponsored by Los Alamos National Laboratory, FED, Funded. (2016 - 2017).
• Fu, S. (Principal), "Anomaly Detection in DOE High Performance Computing Systems Logs Using Machine Learning," sponsored by Los Alamos National Laboratory, FED, Funded. (2015 - 2017).
• Fu, S. (Principal), "Developing Scalable and Resilient Storage Systems by Exploring Open Ethernet Drives," sponsored by Los Alamos National Laboratory, FED, Funded. (2016 - 2017).
• Fu, S. (Principal), "Advanced Distributed Computing on Amazon EC2 Cloud," sponsored by Amazon Inc., Other, Funded. (2012 - 2016).
• Fu, S. (Principal), "Anomaly Detection in High Performance Computing Systems," sponsored by DOE, Federal, Funded. (2015 - 2016).
• Fu, S. (Principal), "Power-Aware Job Scheduling Under a Power Cap for DOE Trinity Supercomputer," sponsored by DOE LANL, Federal, Funded. (2015 - 2015).

Grant - Service

• Yang, Q., Fu, S. (Co-Principal), "Automotive Radar-Cyclist Object Detection Dynamic Testing," sponsored by Emobilus, Local, $4044 Funded. (2020 - 2020).
• Fu, S. (Co-Principal), "Expanding Recruitment and Collaboration with Universities in China," sponsored by UNT China Venture Fund, University of North Texas, $8000 Funded. (2016 - 2017).
• Fu, S. (Co-Principal), "Expanding Collaboration with Universities in East China in Computer Science and Math Programs," sponsored by UNT Venture Fund, University of North Texas, $3000 Funded. (2014 - 2015).
• Yang, Q. (Principal), Fu, S. (Co-Principal), "Automotive Radar-Cyclist Object Detection Dynamic Testing," sponsored by Emobilus, IND, Funded. (2020 - 2020).

Grant - Teaching

• Li, C. (Principal), Fu, S. (Co-Principal), "UTA-UNT OurCS@DFW for Underrepresented Undergraduate Students," sponsored by Google exploreCSR, International, $15000 Funded. (2020 - 2021).
• Fu, S. (Principal), "2021 GenCyber Grant Program University of North Texas," sponsored by National Security Agency, FED, Funded. (2021 - 2024).
• Fu, S. (Principal), "University of North Texas GenCyber Academy," sponsored by National Security Agency, FED, Funded. (2020 - 2022).
• Li, C. (Principal), Fu, S. (Co-Principal), "UTA-UNT OurCS@DFW for Underrepresented Undergraduate Students," sponsored by Google exploreCSR, International, Funded. (2020 - 2021).

Sponsored Research

• Ding, J., Ludi, S.A., Fu, S., Kinshuk, K., Chen, H., "Developing a High-Quality Academic Environment for Broadening Participation of Hispanic Students in Computing," sponsored by NSF, Federal, $499517 Funded. (2022 - 2025).
• Yang, Q. (Principal), Fu, S. (Co-Principal), "Mobile Edge Computing," sponsored by Fujitsu Laboratories of America, Inc., International, $30000 Funded. (2020 - 2021).
• Yang, Q. (Principal), Fu, S. (Co-Principal), "Mobile Edge Computing," sponsored by Fujitsu Laboratories of America, Inc., International, Funded. (2020 - 2021).
• Fu, S., "Advanced Storage Solutions," sponsored by Sage Microelectronics, International, Funded. (2020).