Faculty Profile

Song Fu

Title
Professor
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, Wayne State University, 2008.
Major: Computer Engineering
Dissertation Title: Failure-Aware Reconfigurable Distributed Virtual Machine for Dependable and High Productivity Computing
MS, Nanjing University, 2002.
Major: Computer Science
BS, Nanjing University of Aeronautics and Astronautics, 1999.
Major: Computer Science

Current Scheduled Teaching*

CSCE 5934.807, Directed Study, Spring 2024
CSCE 6950.907, Doctoral Dissertation, Spring 2024
CSCE 6940.907, Individual Research, Spring 2024
CSCE 5160.001, Parallel Processing and Algorithms, Spring 2024 Syllabus

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

CSCE 5934.807, Directed Study, Fall 2023
CSCE 6950.807, Doctoral Dissertation, Fall 2023
CSCE 6940.807, Individual Research, Fall 2023
CSCE 5620.002, Real Time Operating Systems, Fall 2023 SPOT
CSCE 6950.708, Doctoral Dissertation, Spring 2023
CSCE 6940.708, Individual Research, Spring 2023
CSCE 5160.001, Parallel Processing and Algorithms, Spring 2023 SPOT
CSCE 6950.807, Doctoral Dissertation, Fall 2022
CSCE 6950.808, Doctoral Dissertation, Fall 2022
CSCE 6940.807, Individual Research, Fall 2022
CSCE 6940.808, Individual Research, Fall 2022
CSCE 4999.707, Senior Thesis, Fall 2022
CSCE 6950.808, Doctoral Dissertation, Summer 10W 2022
CSCE 6950.708, Doctoral Dissertation, Spring 2022
CSCE 6940.708, Individual Research, Spring 2022
CSCE 6950.808, Doctoral Dissertation, Fall 2021
CSCE 6940.808, Individual Research, Fall 2021
CSCE 4620.001, Real Time Operating Systems, Fall 2021 Syllabus SPOT
CSCE 5620.001, Real Time Operating Systems, Fall 2021 SPOT
CSCE 6950.808, Doctoral Dissertation, Summer 10W 2021
CSCE 2900.808, Special Problems in Computer Science and Engineering, Summer 10W 2021
CSCE 6950.708, Doctoral Dissertation, Spring 2021
CSCE 6940.708, Individual Research, Spring 2021
CSCE 6933.002, Advanced Topics in Computer Science and Engineering, Fall 2020 SPOT
CSCE 6950.808, Doctoral Dissertation, Fall 2020
CSCE 6940.808, Individual Research, Fall 2020
CSCE 5950.808, Master's Thesis, Fall 2020
CSCE 3600.002, Principles of Systems Programming, Fall 2020 Syllabus SPOT
CSCE 3600.005, Principles of Systems Programming, Fall 2020 Syllabus SPOT
CSCE 3600.201, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.202, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.203, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.204, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.205, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.206, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.207, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.208, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.221, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.224, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.235, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.273, Principles of Systems Programming, Fall 2020 SPOT
CSCE 3600.285, Principles of Systems Programming, Fall 2020 SPOT
CSCE 6950.808, Doctoral Dissertation, Summer 10W 2020
CSCE 5934.708, Directed Study, Spring 2020
CSCE 6950.708, Doctoral Dissertation, Spring 2020
CSCE 6940.708, Individual Research, Spring 2020
CSCE 5950.708, Master's Thesis, Spring 2020
CSCE 4620.001, Real Time Operating Systems, Spring 2020 Syllabus
CSCE 5620.001, Real Time Operating Systems, Spring 2020 Syllabus
CSCE 5610.001, Computer System Architecture, Fall 2019 Syllabus SPOT
CSCE 5934.808, Directed Study, Fall 2019
CSCE 6950.808, Doctoral Dissertation, Fall 2019
CSCE 6940.808, Individual Research, Fall 2019
CSCE 5950.808, Master's Thesis, Fall 2019
CSCE 6900.808, Special Problems, Fall 2019
CSCE 4610.001, Computer Systems Architecture, Spring 2019 Syllabus SPOT
CSCE 4890.808, Directed Study, Spring 2019
CSCE 6950.808, Doctoral Dissertation, Spring 2019
CSCE 6940.808, Individual Research, Spring 2019
CSCE 4999.808, Senior Thesis, Spring 2019
CSCE 4890.808, Directed Study, Fall 2018
CSCE 5934.808, Directed Study, Fall 2018
CSCE 6950.808, Doctoral Dissertation, Fall 2018
CSCE 6940.808, Individual Research, Fall 2018
CSCE 4999.808, Senior Thesis, Fall 2018
CSCE 6950.808, Doctoral Dissertation, Summer 10W 2018
CSCE 4610.001, Computer Systems Architecture, Spring 2018 Syllabus SPOT
CSCE 5934.808, Directed Study, Spring 2018
CSCE 6950.808, Doctoral Dissertation, Spring 2018
CSCE 6940.808, Individual Research, Spring 2018
CSCE 4999.808, Senior Thesis, Spring 2018
CSCE 5934.808, Directed Study, Fall 2017
CSCE 6950.808, Doctoral Dissertation, Fall 2017
CSCE 6940.808, Individual Research, Fall 2017
CSCE 4620.001, Real Time Operating Systems, Fall 2017 Syllabus SPOT
CSCE 5620.001, Real Time Operating Systems, Fall 2017 SPOT
CSCE 5620.600, Real Time Operating Systems, Fall 2017 SPOT
CSCE 5900.808, Special Problems, Fall 2017
CSCE 5934.808, Directed Study, Summer 10W 2017
CSCE 6940.808, Individual Research, Summer 10W 2017
CSCE 5934.808, Directed Study, Spring 2017
CSCE 6950.808, Doctoral Dissertation, Spring 2017
CSCE 4999.808, Senior Thesis, Spring 2017 Syllabus
CSCE 5934.808, Directed Study, Fall 2016
CSCE 6950.808, Doctoral Dissertation, Fall 2016
CSCE 6940.808, Individual Research, Fall 2016
CSCE 5640.001, Operating System Design, Fall 2016 SPOT
CSCE 4620.001, Real Time Operating Systems, Fall 2016 Syllabus SPOT
CSCE 5620.001, Real Time Operating Systems, Fall 2016 SPOT
CSCE 5900.808, Special Problems, Fall 2016
CSCE 5934.808, Directed Study, Summer 10W 2016
CSCE 2900.808, Special Problems in Computer Science and Engineering, Summer 10W 2016
CSCE 6680.001, Advanced Distributed Computing, Spring 2016 SPOT
CSCE 5934.808, Directed Study, Spring 2016
CSCE 6950.808, Doctoral Dissertation, Spring 2016
CSCE 6940.808, Individual Research, Spring 2016
CSCE 4890.808, Directed Study, Fall 2015
CSCE 5934.808, Directed Study, Fall 2015
CSCE 6950.808, Doctoral Dissertation, Fall 2015
CSCE 6940.808, Individual Research, Fall 2015
CSCE 5640.001, Operating System Design, Fall 2015 SPOT
CSCE 5640.600, Operating System Design, Fall 2015 SPOT
CSCE 5620.001, Real Time Operating Systems, Fall 2015 SPOT
CSCE 5910.808, Special Problems, Fall 2015
CSCE 5950.808, Master's Thesis, Summer 10W 2015
CSCE 6680.001, Advanced Distributed Computing, Spring 2015
CSCE 4890.808, Directed Study, Spring 2015
CSCE 5934.808, Directed Study, Spring 2015
CSCE 6950.808, Doctoral Dissertation, Spring 2015
CSCE 6940.808, Individual Research, Spring 2015
CSCE 5950.808, Master's Thesis, Spring 2015
CSCE 4890.808, Directed Study, Fall 2014
CSCE 6950.808, Doctoral Dissertation, Fall 2014
CSCE 5950.808, Master's Thesis, Fall 2014
CSCE 4620.001, Real Time Operating Systems, Fall 2014 Syllabus
CSCE 5620.001, Real Time Operating Systems, Fall 2014
CSCE 3730.001, Reconfigurable Logic, Fall 2014 Syllabus
CSCE 5934.808, Directed Study, Summer 10W 2014
CSCE 6940.808, Individual Research, Summer 10W 2014
CSCE 5950.808, Master's Thesis, Summer 10W 2014
CSCE 6680.001, Advanced Distributed Computing, Spring 2014
CSCE 4890.808, Directed Study, Spring 2014
CSCE 6950.808, Doctoral Dissertation, Spring 2014
CSCE 6940.808, Individual Research, Spring 2014
CSCE 5950.808, Master's Thesis, Spring 2014
CSCE 4890.808, Directed Study, Fall 2013
CSCE 5934.808, Directed Study, Fall 2013
CSCE 6950.808, Doctoral Dissertation, Fall 2013
CSCE 6940.808, Individual Research, Fall 2013
CSCE 5950.808, Master's Thesis, Fall 2013
CSCE 5620.001, Real Time Operating Systems, Fall 2013
CSCE 3730.001, Reconfigurable Logic, Fall 2013 Syllabus
CSCE 5900.808, Special Problems, Fall 2013
CSCE 4890.808, Directed Study, Summer 5W2 2013
CSCE 6680.001, Advanced Distributed Computing, Spring 2013
CSCE 4890.808, Directed Study, Spring 2013
CSCE 5934.808, Directed Study, Spring 2013
CSCE 6950.808, Doctoral Dissertation, Spring 2013
CSCE 6940.808, Individual Research, Spring 2013
CSCE 5934.808, Directed Study, Fall 2012
CSCE 6950.808, Doctoral Dissertation, Fall 2012
CSCE 6940.808, Individual Research, Fall 2012
CSCE 4600.001, Introduction to Operating Systems, Fall 2012 Syllabus
CSCE 5640.001, Operating System Design, Fall 2012
CSCE 3730.001, Reconfigurable Logic, Fall 2012 Syllabus
CSCE 6950.808, Doctoral Dissertation, Summer 10W 2012
CSCE 6680.001, Advanced Distributed Computing, Spring 2012
CSCE 5934.808, Directed Study, Spring 2012
CSCE 6950.808, Doctoral Dissertation, Spring 2012
CSCE 4890.808, Directed Study, Fall 2011
CSCE 5934.808, Directed Study, Fall 2011
CSCE 3730.001, Reconfigurable Logic, Fall 2011 Syllabus
CSCE 5900.808, Special Problems, Fall 2011
CSCE 5934.808, Directed Study, Summer 10W 2011
CSCE 4890.808, Directed Study, Spring 2011
CSCE 5933.003, Topics in Computer Science and Engineering, Spring 2011
CSCE 3730.001, Reconfigurable Logic, Fall 2010 Syllabus

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

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).

Awarded Grants

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. (March 15, 2023February 29, 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. (January 16, 2024January 15, 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. (November 2022October 2026).
Fu, S. (Principal), "Advanced Storage Solutions," Sponsored by SAGE, National, $150000 Funded. (April 2022March 2025).
Yang, Q. (Principal), Fu, S. (Co-Principal), "Multi-Vehicle Cooperative Perception," Sponsored by Toyota North America InfoTech Labs, International, $280000 Funded. (February 2022February 2025).
Fu, S. (Principal), Morozov, K. (Co-Principal), "North Texas GenCyber Academy," Sponsored by National Security Agency and National Science Foundation, Federal, $139042 Funded. (June 2022June 2024).
Fu, S. (Principal), "University of North Texas GenCyber Academy," Sponsored by National Security Agency and National Science Foundation, Federal, $134823 Funded. (September 2021December 2023).
Fu, S. (Principal), Yang, Q. (Co-Principal), "REU Site: Vehicular Edge Computing and Security," Sponsored by National Science Foundation, Federal, $359993 Funded. (January 1, 2019December 31, 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. (September 2022August 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. (July 2020July 2023).
Yang, Q. (Principal), Fu, S. (Co-Principal), "Mobile Edge Computing," Sponsored by Fujitsu Laboratories of America, International, $90000 Funded. (February 2021May 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. (July 1, 2021December 31, 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. (August 2020August 2022).
Fu, S. (Principal), "North Texas GenCyber Academy," Sponsored by NSA, Federal, $79277 Funded. (March 2020March 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. (July 8, 2019December 31, 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. (March 2018September 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. (September 1, 2018August 31, 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. (September 2018August 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. (August 2016July 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. (February 2021March 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. (May 2017July 2020).
Fu, S. (Principal), "Characterizing Flash Storage Failures for Building Reliable Storage Systems," Sponsored by DOE Los Alamos National Laboratory, Federal, $40000 Funded. (May 2018December 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. (December 2016September 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. (September 2016September 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. (March 2016July 2017).
Fu, S. (Principal), "Advanced Distributed Computing on Amazon EC2 Cloud," Sponsored by Amazon Inc., Other, $16000 Funded. (20122016).
Fu, S. (Principal), "Anomaly Detection in High Performance Computing Systems," Sponsored by DOE, Federal, $90000 Funded. (October 2015August 2016).
Fu, S. (Principal), "Power-Aware Job Scheduling Under a Power Cap for DOE Trinity Supercomputer," Sponsored by DOE LANL, Federal, $53600 Funded. (20152015).
Fu, S. (Principal), "Soft Error Characterization and Resilience with GPGPUs," Sponsored by NVIDIA, Other, $6000 Funded. (20142015).
Grant - Service
Yang, Q., Fu, S. (Co-Principal), "Automotive Radar-Cyclist Object Detection Dynamic Testing," Sponsored by Emobilus, Local, $4044 Funded. (November 2020December 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. (June 2016December 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. (20142015).
Grant - Teaching
Li, C. (Principal), Fu, S. (Co-Principal), "UTA-UNT OurCS@DFW for Underrepresented Undergraduate Students," Sponsored by Google exploreCSR, International, $15000 Funded. (September 2020August 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. (November 1, 2022October 31, 2025).
Yang, Q. (Principal), Fu, S. (Co-Principal), "Mobile Edge Computing," Sponsored by Fujitsu Laboratories of America, Inc., International, $30000 Funded. (January 2020January 2021).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
CLOSE