Peer-Reviewed Conference and Journal Publications

• Deyuan Qu, Qi Chen, Tianyu Bai, Hongsheng Lu, Heng Fan, Hao Zhang, Song Fu, and Qing Yang
  SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2024.

• Zhaochen Gu, K. V. Mani Krishna, Mohammad Parsazadeh, Shashank Sharma, Aishwarya Manjunath, Hang Tran, Song Fu, and Narendra Dahotre
  Deep Learning Based Melt Pool and Porosity Detection in Components Fabricated by Laser Powder Bed Fusion
  Progress in Additive Manufacturing, 10:53–70, April 2024.

• Wang Feng, Sihai Tang, Shengze Wang, Ying He, Donger Chen, Qing Yang, and Song Fu
  Characterizing Perception Deep Learning Algorithms and Applications for Vehicular Edge Computing
  Algorithms, 18:1-31, December 2024.

• Deyuan Qu, Qi Chen, Yongqi Zhu, Yihao Zhu, Sergei Avedisov, Song Fu, and Qing Yang
  HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles
  European Conference on Computer Vision (ECCV), Cooperative Intelligence for Embodied AI, October 2024.

• Ying He, Shuwen Liang, and Song Fu
  Impact of Environmental Factors on Flash Storage Performance in Autonomous Vehicles: An Empirical and Analytical Study
  IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST), May 2024.

• J. Kvapil, G. Borca-Tasciuc, H. Bossi, Y. Corrales Morales, H. Da Costa, Song Fu, and M.X. Liu
  A Demonstrator for a Real-time AI-FPGA-based Triggering System for sPHENIX at RHIC
  Journal of Instrumentation, February 2024.

• Sudip Dhakal, Dominic Carrillo, Deyuan Qu, Qing Yang, and Song Fu
  Sniffer Faster R-CNN++: An Efficient Camera-LiDAR Object Detector with Proposal Refinement on Fused Candidates
  ACM Journal on Autonomous Transportation Systems, 1-18, April 2024.

• Jakub Kvapil, Giorgian Borca-Tasciuc, Hannah Bossi, Y. Corrales Morales, H. Da Costa, C. Da Silva, Song Fu, and M.X. Liu
  Intelligent Experiments through Real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and Future EIC Detectors
  42nd International Conference on High Energy Physics (ICHEP), July 2024.

• Isabella Xu, Murtaza Haque, and Song Fu
  Driving the Future: AI in Transportation
  European Conference on the Impact of Artificial Intelligence and Robotics (ICAIR), December 2024.

• Alejandro Olvera and Song Fu
  Optimizing Quantum Processor Utilization with the Quantum Unified Device Architecture
  IEEE MetroCon Conference, November 2024.

• Venkata Mani Krishna Karri, Aishwarya Manjunath, Shashank Sharma, Song Fu, and Narendra Dahotre
  Machine Learning-based Prediction of Evolution of Thermal Profiles During Additive Manufacturing
  TMS Annual Conference & Exhibition, Additive Manufacturing , March 2024.

• Tianyu Bai, Qing Yang, and Song Fu
  User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing
  ACM/IEEE Symposium on Edge Computing (SEC), December 2023.

• Sudip Dhakal, Dominic Carrillo, Deyuan Qu, Qing Yang, and Song Fu
  Sniffer Faster R-CNN ++: An Efficient Camera-LiDAR Object Detector with Proposal Refinement on Fused Candidates
  ACM Journal on Autonomous Transportation Systems, November 2023.

• Beilei Jiang, Xianwei Cheng, Yuan Li, Jocelyn Zhang, Song Fu, Qing Yang, Mingxiong Liu, and Alejandro Olvera
  Output-Directed Dynamic Quantization for DNN Acceleration
  The 52nd ACM International Conference on Parallel Processing (ICPP), August 2023.

• Sihai Tang, Shengze Wang, Song Fu, and Qing Yang
  Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles
  IEEE International Conference on Edge Computing and Communications (EDGE), July 2023. [Acceptance rate: 17%]

• Ying He and Song Fu
  2D Error Correction Code for Flash Memory
  Flash Memory Summit Conference & Exhibition, August 2023.

• Zhaochen Gu, Hang Tran, Aishwarya Manjunath, Donger Chen, and Song Fu
  AI Automated Microstructure Analysis for Intelligent Manufacturing
  Journal of Robotics and Automation Technology, November 2023.

• Zhaochen Gu, Venkata Mani Krishna Karri, Shashank Sharma, Hang Tran, Aishwarya Manjunath, Donger Chen, Song Fu, and Narendra Dahotre
  Deep Learning for Microstructure Segmentation and Defect Detection in Additive Manufacturing Systems
  IEEE International Conference on Smart Data (SmartData), December 2023.

• Tianyu Bai, Danyang Shao, Ying He, Song Fu, and Qing Yang
  P³: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy
  The 32nd IEEE International Conference on Computer Communications and Networks (ICCCN), July 2023.

• Sudip Dhakal, Qi Chen, Deyuan Qu, Dominic Carrillo, Qing Yang, and Song Fu
  Sniffer Faster R-CNN: A Joint Camera-Lidar Object Detection Framework with Proposal Refinement
  IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST), May 2023.

• Shashank Sharma, Mohammad Parsazadeh, Zhaochen Gu, Narendra Dahotre, and Song Fu
  A High-Fidelity Numerical Model Informed Machine Learning Framework for Melt Pool Prediction in Laser Additive Manufacturing
  TMS Annual Conference & Exhibition, Materials Processing Fundamentals, March 2023.

• Hui Sun, Qiang Wang, Yinliang Yue, Yuhong Zhao, and Song Fu
  A Storage Computing Architecture with Multiple NDP Devices for Accelerating Compaction Performance in LSM-Tree based KV Stores
  Journal of Systems Architecture, Vol. 130, September 2022.

• Zhaochen Gu, Shashank Sharma, Daniel Riley, Mangesh Pantawane, Sameehan Joshi, Song Fu, and Narendra Dahotre
  A Universal Predictor-Based Machine Learning Model for Optimal Process Maps in Laser Powder Bed Fusion Process
  Journal of Intelligent Manufacturing, August 2022.

• Tianyu Bai, Song Fu, and Qing Yang
  Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing
  Future Internet Journal, 14(11): 1-17, October 2022.

• Chenxi Qiu, Sourabh Yadav, Anna Squicciarini, Qing Yang, Song Fu, Juanjuan Zhao, and Chengzhong Xu
  Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles
  The 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), July 2022. [Acceptance rate: 19%]

• Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, and Mingxiong Liu
  MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications
  The 36th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS), May 2022. [Acceptance rate: 20%]

• Tianyu Bai, Haili Wang, Jingda Guo, Xu Ma, Mahendra Talasila, Sihai Tang, Song Fu, Qing Yang
  Online Self-Evolving Anomaly Detection for Reliable Cloud Computing
  The 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), December 2022.

• Jingda Guo, Dominic Carrillo, Qi Chen, Qing Yang, Song Fu, Hongsheng Lu, and Rui Guo
  Slim-FCP: Lightweight Feature-Based Cooperative Perception for Connected Automated Vehicles
  IEEE Internet of Things Journal, 2022.

• Xinrong Li, Xiaodong Wang, Qing Yang, and Song Fu
  Signal Processing for TDM MIMO FMCW Millimeter-Wave Radar Sensors
  IEEE Access, Vol. 9, 2022.

• Shashank Sharma, Wu Di, Zhaochen Gu, Mangesh Pantawane, Sameehan Joshi, Song Fu, and Narendra Dahotre
  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, March 2022.

• Sihai Tang, Kaitlynn Whitney, Benjamin Wang, Song Fu, and Qing Yang 
  Characterization of Real-Time Object Detection Workloads on Vehicular Edge
  The 5th IEEE International Conference on Connected and Autonomous Driving, April 2022.

• Xu Ma, Jingda Guo, Andrew Sansom, Mara McGuire, Andrew Kalaani, Qi Chen, Sihai Tang, Qing Yang, and Song Fu
  Spatial Pyramid Attention for Deep Convolutional Neural Networks
  IEEE Transactions on Multimedia, 2021.

• Jingda Guo, Dominic Carrillo, Sihai Tang, Qi Chen, Qing Yang, Song Fu, Xi Wang, Nannan Wang, and Paparao Palacharla
  CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
  IEEE Internet of Things Journal, 2021.

• Sihai Tang, Bruce Haidi Chen, Harold Iwen, Jason Hirsch, Song Fu, Qing Yang, Paparao Palacharla, Nannan Wang, Xi Wang, and Weisong Shi
  VECFrame: A Vehicular Edge Computing Framework for Connected Autonomous Vehicles
  IEEE International Conference on Edge Computing (EDGE), September 2021.

• Kien Nguyen, Tiffany Ryu, Jocelyn Zhang, Xu Ma, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, and Xi Wang
  CoConv: Learning Dynamic Cooperative Convolution for Image Recognition
  IEEE International Conference on Multimedia & Expo (ICME), July 2021. [Acceptance rate: 15%]

• Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, and Xi Wang
  Learning Connected Attentions for Convolutional Neural Networks
  IEEE International Conference on Multimedia & Expo (ICME), July 2021.

• Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, and Devesh Tiwari
  Study of Interconnect Errors, Network Congestion, and Applications Characteristics for Throttle Prediction on a Large Scale HPC System
  Journal of Parallel and Distributed Computing, accepted, February 2021.

• Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, and Song Fu
  APCNN: Explore Multi-LayerCooperation for CNN Optimization and Acceleration on FPGA
  The 29th ACM International Symposium on Field-Programmable Gate Arrays (FPGA), March 2021.

• Qing Yang, Song Fu, Honggang Wang, and Hua Fang
  Machine Learning Enabled Cooperative Perception forConnected Autonomous Vehicles: Challenges and Opportunities
  IEEE Network, February 2021.

• Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, and Song Fu
  Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning
  GrAPL, the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 2021.

• Sihai Tang, Zhaochen Gu, Song Fu, and Qing Yang
  Vehicular Edge Computing for Multi-Vehicle Perception
  IEEE International Conference on Connected and Autonomous Driving, April 2021.

• Sudip Dhakal, Deyuan Qu, Dominic Carrillo, Qing Yang, and Song Fu
  OASD: An Open Approach to Self-Driving Vehicle
  IEEE International Conference on Connected and Autonomous Driving, April 2021.

• Michael Nutt, Qing Yang, and Song Fu
  PlateGuard: License Plate Privacy Protection for Internet of Vehicles
  IEEE International Conference on Connected and Autonomous Driving, April 2021.

• Xu Ma and Song Fu
  Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position
  The 29th International Joint Conference on Artificial Intelligence (IJCAI), July 2020. [Acceptance rate: 12.6%]

• Jingda Guo, Xu Ma, Andrew Sansom, Mara McGuire, Andrew Kalaani, Qi Chen, Sihai Tang, Qing Yang, and Song Fu
  SPANet: Spatial Pyramid Attention Network for Enhanced Image Recognition (Best Student Paper Award)
  IEEE International Conference on Multimedia & Expo (ICME), July 2020. [Acceptance rate: 15%]

• Xu Ma, Jingda Guo, Qi Chen, Sihai Tang, Qing Yang, and Song Fu
  Attention Meets Normalization and Beyond
  IEEE International Conference on Multimedia & Expo (ICME), July 2020.

• Sihai Tang, Bruce Chen, Jacob Hochstetler, Jason Hirsch, and Song Fu
  Exploring Edge Computing in Multi-PersonMixed Reality for Cooperative Perception
  USENIX Workshop on Hot Topics in Edge Computing (HotEdge), June 2020.

• Hsing-bung Chen, Sihai Tang, and Song Fu
  A Middleware Approach to Leverage Distributed Data Deduplication Capability on HPC and Cloud Storage Systems
  IEEE International Conference on Big Data (BigData), December 2020.

• Sihai Tang, Bruce Chen, Jacob Hochstetler, Jason Hirsch, and Song Fu
  Cooperative Mixed Reality Leveraging EdgeComputing and Communication
  EdgeComm, ACM/IEEE Symposium on Edge Computing (SEC), November 2020.

• Xu Ma, Zhinan Qiao, Jingda Guo, Sihai Tang, Qi Chen, Qing Yang, and Song Fu
  Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks
  The 27th IEEE International Conference on Image Processing (ICIP), October 2020.

• Jingda Guo, Ryan Boyles, Kenzie Clarke, Shavon Turner, Qing Yang, and Song Fu
  Towards Trustworthy Perception Information Sharing on Connected and Autonomous Vehicles
  IEEE International Conference on Connected and Autonomous Driving, February 2020.

• Zhinan Qiao, Andrew Sansom, Mara McGuire, Andrew Kalaani, Xu Ma, Qing Yang and Song Fu
  Accurate Object Detection in Smart Transportation Using Multiple Cameras
  IEEE International Conference on Connected and Autonomous Driving, February 2020.

• Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, and Song Fu
  F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds (Best Paper Award)
  IEEE/ACM Symposium on Edge Computing (SEC), November 2019.

• Zhi Qiao, Song Fu, Hsing-Bung Chen and Bradley Settlemyer
  Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance
  The 38th IEEE International Symposium on Reliable Distributed Systems (SRDS), October 2019. [Acceptance rate: 26%]

• Song Huang, Shuwen Liang, Song Fu, Weisong Shi, Devesh Tiwari, and Hsing-bung Chen
  Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems
  IEEE International Conference on Autonomic Computing (ICAC), June 2019. [Acceptance rate: 25%]

• Qi Chen, Sihai Tang, Qing Yang, and Song Fu
  Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds
  The 39th IEEE International Conference on Distributed Computing Systems (ICDCS), July 2019. [Acceptance rate: 19%]

• Zhi Qiao, Song Fu, Hsing-bung Chen, and Brad Settlemyer
  Characterizing and Modeling Reliability of Declustered RAID
  The 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), June 2019.

• Hui Sun, Wei Liu, Jianzhong Huang, Song Fu, Zhi Qiao, and Weisong Shi
  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), August 2019. [Acceptance rate: 26%]

• Zhi Qiao, Song Fu, Hsing-Bung Chen and Bradley Settlemyer
  Building Reliable High-Performance StorageSystems: An Empirical and Analytical Study
  The 21st IEEE International Conference on Cluster Computing (Cluster), September 2019.

• Qi Chen, Sihai Tang, Jacob Hochstetler, Jingda Guo, Yuan Li, Jinbo Xiong, Qing Yang, and Song Fu
  Low-latency High-level Data Sharing for Connected and Autonomous Vehicular Networks
  IEEE International Conference on Industrial Internet (ICII), November 2019. [Acceptance rate: 16.7%]

• Farzaneh Abazari, Morteza Analoui, Hassan Takabi, and Song Fu
  MOWS: multi-objective workflow scheduling in cloud computing based on heuristic algorithm
  Simulation Modelling Practice and Theory, Elsevier, Vol. 93, pp. 119-132, 2019.

• Zongze Li, Song Fu, Sean Blanchard, and Michael Lang
  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), August 2019.

• Shuwen Liang, Zhi Qiao, Sihai Tang, Jacob Hochstetler, Song Fu, Weisong Shi, and Hsing-bung Chen
  An Empirical Study of Quad-Level Cell NAND Flash SSDs for Big Data Applications
  IEEE International Conference on Big Data (Big Data), December 2019.

• Zongze Li and Song Fu
  Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL
  IEEE International Conference on Big Data (Big Data), December 2019.

• Sihai Tang, Zhaochen Gu, Qing Yang, and Song Fu
  Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data
  IEEE International Conference on Big Data (Big Data), December 2019.

• Hsing Bung Chen, Zhi Qiao, and Song Fu
  Applying SDN based data network on HPC Big Data Computing: Design, Implementation, and Evaluation (poster)
  IEEE International Conference on Big Data (Big Data), December 2019.

• Shuwen Liang, Zhi Qiao, Jacob Hochstetler, Song Huang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-Bung Chen, Bradley Settlemyer, and David Montoya
  Reliability Characterization of Solid State Drives in a Scalable Production Datacenter
  IEEE International Conference on Big Data (Big Data), December 2018.

• Zhi Qiao, Shuwen Liang, Nandini Damera, Song Fu, Hsing-Bung Chen, and Michael Lang
  ACTOR: Active Cloud Storage with Energy-Efficient On-Drive Data Processing
  IEEE International Conference on Big Data (Big Data), December 2018.

• Zhi Qiao, Song Fu, Hsing-Bung Chen, and Bradley Settlemyer
  Characterizing Declustered Software RAID for Enhancing Storage Reliability and Performance (poster)
  IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC), November 2018.

• Jacob Hochstetler, Rahul Padidela, Qi Chen, Qing Yang, and Song Fu
  Embedded deep learning for vehicular edge computing
  IEEE/ACM Symposium on Edge Computing (SEC), Ocober 2018.

• Mohit Kumar, Devesh Tiwari, Saurabh Gupta, Tirthak Patel, Weisong Shi, Song Fu, Christian Engelmann
  Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System
  The 48th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), June 2018.

• Zhi Qiao, Jacob Hochstetler, Shuwen Liang, Song Fu, Hsing-Bung Chen, and Bradley Settlemyer
  Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems
  IEEE International Conference on Big Data Intelligence and Computing (DataCom), August 2018.

• Hsing-Bung Chen, Song Fu, and Qiang Guan
  UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-From-Anywhere Big Data Eco-Systems
  IEEE International Conference on Big Data Intelligence and Computing (DataCom), August 2018.

• Hui Sun, Wei Liu, Zhi Qiao, Song Fu, and Weisong Shi
  DStore: A Holistic Key-Value Store Exploring Near-Data Processing and On-Demand Scheduling for Compaction Optimization
  IEEE Access, Vol. 6, pp. 61233-61253, 2018.

• Song Huang, Song Fu, Scott Pakin, and Michael Lang
  Characterizing Power and Energy Efficiency of Legion Data-Centric Runtime and Applications on Heterogeneous High-Performance Computing Systems
  Book Chapter, High Performance Parallel Computing, 2018.

• Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard, and Michael Lang
  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), June 2018.

• Zhi Qiao, Jacob Hochstetler, Shuwen Liang, Song Fu, Hsing-Bung Chen, and Bradley Settlemyer
  Developing cost-effective data rescue schemes to tackle disk failures in data centers
  International Conference on Big Data (BigData), June 2018.

• Shuwen Liang, Zhi Qiao, Song Fu, and Weisong Shi
  In-Depth Reliability Characterization of NAND Flash based Solid State Drives in High Performance Computing Systems
  47th IEEE International Conference on Parallel Processing (ICPP), August 2018.

• Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard, and Michael Lang
  Converting Unstructured System Logs into Structured Event List for Anomaly Detection
  The 13th ACM International Conference on Availability, Reliability and Security (ARES), August 2018.

• Song Fu, Hsing-Bung Chen and George Qiao
  A Machine Learning based Disk Health Status Assessment, Failure Prediction, and Pre-Failure Data Recovery Approach for Supporting Always-On Extreme Scale Storage Systems
  ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), July 2017.

• Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard and Michael Lang
  Event Block Analysis for Effective Anomaly Detection on Production HPC Systems
  ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), July 2017.

• Song Huang, Song Fu, Weisong Shi and Devesh Tiwari
  Proactive Disk Failure Management and Data Protection for Highly Available Storage Systems
  ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), July 2017.

• Mohit Kumar, Devesh Tiwari, Weisong Shi, Saurabh Gupta and Song Fu
  Towards Understanding Interconnect Failures in HPC Systems
  Greater Chicago Area Systems Research Workshop (GCASR), April 2017.

• Hsing-Bung Chen and Song Fu
  Improving Coding Performance and Energy Efficiency of Erasure Coding Process for Storage Systems
  IEEE International Conference on Cloud Computing (CLOUD), July 2016.

• Song Huang, Song Fu, Scott Pakin and Michael Lang
  Characterizing Power and Energy Efficiency of Legion Runtime and Applications: An Early Experience
  IEEE International Green and Sustainable Computing Conference (IGSC), November 2016.

• Song Huang, Zhiang Deng and Song Fu
  Quantifying Topology Criticality for Fault Impact Analysis in Software-Defined Networks
  The 35th IEEE International Performance Computing and Communications Conference (IPCCC), December 2016.

• Jacob Hochstetler, Lauren Hochstetler, and Song Fu
  An Optimal Police Patrol Planning Strategy for Smart City Safety
  The 14th IEEE International Conference on Smart City (SmartCity), December 2016.

• Elisabeth Baseman, Sean Blanchard, Zongze Li, and Song Fu
  Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs
  The 15th IEEE International Conference on Machine Learning and Applications (ICMLA), December 2016.

• Hsing-Bung Chen and Song Fu
  Parallel Erasure Coding: Exploring Task Parallelism in Erasure Coding for Enhanced Bandwidth
  IEEE International Conference on Networking, Architecture and Storage (NAS), August 2016.

• Ziming Zhang, Michael Lang, Scott Pakin, and Song Fu
  TracSim: Simulating and Scheduling Trapped Power Capacity to Maximize Machine Room Throughput
  Parallel Computing (ParCo) Journal, Vol. 57: 108-124, September 2016.

• Qiang Guan, Nathan DeBardeleben, Sean Blanchard and Song Fu
  Addressing Statistical Significance of Fault Injection: Empirical Studies of the Soft Error Susceptibility
  International Journal of High Performance Computing and Networking, June 2016.

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

• S. Huang, S. Fu, Q. Zhang and W. Shi
  Characterizing Disk Failures with Quantified Disk Degradation Signatures: An Early Experience
  IEEE International Symposium on Workload Characterization (IISWC), 10 pages, October 2015.

• Q. Guan, N. DeBardeleben, S. Blanchard and S. Fu
  Addressing Statistical Significance of Fault Injection: Empirical Studies of the Soft Error Susceptibility
  The 21st IEEE/IFIP International Symposium on Dependable Computing, 10 pages, November 2015.

• S. Huang, S. Fu, N. DeBardeleben, Q. Guan and C. Xu
  Differentiated Failure Remediation with Action Selection for Resilient Computing
  The 21st IEEE/IFIP International Symposium on Dependable Computing, 10 pages, November 2015.

• H.-B. Chen, S. Fu, Z. Qiao, S. Liang and S. Huang
  A Parallel, Reliable and Scalable Storage Software Infrastructure for Active Storage System and I/O Environments
  The 34th IEEE International Performance Computing and Communications Conference, December 2015.

• Z. Qiao, S. Liang, H. Jiang and S. Fu
  A Customizable MapReduce Framework for Complex Data-Intensive Workflows on GPUs
  The 34th IEEE International Performance Computing and Communications Conference, December 2015.

• S. Huang, M. Lang, S. Pakin and S. Fu
  Measurement and Characterization of Haswell Power and Energy Consumption
  Energy Efficient Supercomputing in IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC'15), 10 pages, November 2015.

• Q. Guan, N. DeBardeleben, S. Blanchard and S. Fu
  Empirical Studies of the Soft Error Susceptibility of Sorting Algorithms to Statistical Fault Injection
  Fault Tolerance for HPC at eXtreme Scale in the 24th International ACM Symposium on High Performance Distributed Computing (HPDC), Pages 33-40, June 2015.

• Q. Guan, N. DeBardeleben, S. Blanchard and S. Fu
  Soft Error Susceptibility of Sorting Algorithms
  IEEE International Workshop on Silicon Errors in Logic - System Effects (SELSE), March 2015.

• Z. Qiao, S. Liang, H. Jiang, and S. Fu
  MR-Graph: a Customizable GPU MapReduce
  IEEE International Conference on Cyber Security and Cloud Computing, November 2015.

• B. Arigong, M. Zhou, H. Ren, J. Shao, S. Fu, H. Kim and H. Zhang
  System Application of Planar Couplers
  IEEE Symposium on Wireless and Microwave Circuits and Systems, April 2015.

• H. Ren, J. Shao, B. Arigong, M. Zhou, S. Fu, H. Kim and H. Zhang
  Simplified Doherty Power Amplifier Structures
  IEEE Symposium on Wireless and Microwave Circuits and Systems, April 2015.

• J. Shao, H. Ren, M. Zhou, B. Arigong, J. Ding, S. Fu, H. Kim, and H. Zhang
  Design of a Dual-Band Sequential Power Amplifier
  Microwave and Optical Technology Letters, 2015.

• J. Shao, H. Ren, M. Zhou, B. Arigong, J. Ding, S. Fu, H. Kim, and H. Zhang
  Design of a Tunable Sequential Power Amplifier
  Microwave and Optical Technology Letters, 2015.

• B. Arigong, J. Ding, H. Ren, M. Zhou, J. Shao, H. Kim, S. Fu, and H. Zhang
  An Improved Design of Dual-band 3dB 180 Directional Coupler
  Progress in Electromagnetic Research (PIER), Vol. 56: 153-162, 2015.

• J. Shao, R. Zhou, S. Yoon, S. Fu, H. Kim, and H. Zhang
  Design of Dual-Band GaN Doherty Power Amplifier Using a Simplified Structure
  Microwave and Optical Technology Letters, Vol. 57(4): 953-956, 2015.

• Qiang Guan, Song Fu, Nathan DeBardeleben and Sean Blanchard
  F-SEFI: A Fine-grained Soft Error Fault Injection Tool for Profiling Application Vulnerability
  The 28th IEEE International Parallel & Distributed Processing Symposium (IPDPS), pp.1-10, May 2014.

• Ziming Zhang, Michael Lang, Scott Pakin and Song Fu
  Trapped Capacity: Scheduling under a Power Cap to Maximize Machine-Room Throughput
  Workshop on Energy Efficient Supercomputing in conjunction with IEEE/ACM Supercomputing Conference (SC), pp.1-10, November 2014.

• Qiang Guan, Nathan DeBardeleben, Sean Blanchard and Song Fu
  Towards Exploring the Soft Error Susceptibility of Heapsort Algorithms
  The 44th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), June 2014.

• Xiajun Wang, Song Huang, Song Fu and Krishna Kavi
  Characterizing Workload of Web Applications on Virtualized Servers
  The 4th Workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware in conjunction with the 19th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), pp.1-8, March 2014.

• Bayaner Arigong, Jun Ding, Han Ren, Mi Zhou, Jin Shao, Rongguo Zhou, Hyoungsoo Kim, Yuankun Lin, Song Fu and Hualiang Zhang
  Transformation Optics for Microwave and Optical Device Design
  IEEE International Conference on Electromagnetics in Advanced Applications (ICEAA), August 2014.

• Jin Shao, Rongguo Zhou, Sang-Woong Yoon, Song Fu, Hyoungsoo Kim and Hualiang Zhang
  Design of Dual-Band GaN Doherty Power Amplifier Using a Simplified Structure
  Microwave and Optical Technology Letters, in press, December 2014.

• Qiang Guan and Song Fu
  Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures
  The 32nd IEEE International Symposium on Reliable Distributed Systems (SRDS), pp.1-10, 2013.

• Qiang Guan and Song Fu
  Autonomic Failure Identification and Diagnosis for Building Dependable Computing Systems
  ACM/IEEE Supercomputing Conference (SC), 2013.

• Qiang Guan, Song Fu, Nathan DeBardeleben and Sean Blanchard
  Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems
  The 19th IEEE/IFIP International Symposium on Dependable Computing (PRDC), pp.1-10, 2013.

• Qiang Guan and Song Fu
  Wavelet-Based Multi-Scale Anomaly Identification in Cloud Computing Systems
  IEEE Global Communications Conference (GLOBECOM), pp.1-7, 2013.

• Husanbir Pannu, Jianguo Liu and Song Fu
  AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures
  The 31st IEEE International Symposium on Reliable Distributed Systems (SRDS), 2012.

• Ziming Zhang, Qiang Guan and Song Fu
  An Adaptive Power Management Framework for Autonomic Resource Configuration in Cloud Computing Infrastructures
  The 31st IEEE International Performance Computing and Communications Conference (IPCCC), pp.1-10, 2012. 

• Husanbir Pannu, Jianguo Liu, Qiang Guan and Song Fu
  An Autonomic Failure Detection System for Cloud Computing Infrastructures
  The 31st IEEE International Performance Computing and Communications Conference (IPCCC), pp.1-10, 2012. 

• Qiang Guan, Chi-Chen Chiu and Song Fu
  A Cloud Dependability Analysis Framework for Assessing System Dependability in Cloud Computing Infrastructures
  The 18th IEEE/IFIP International Symposium on Dependable Computing (PRDC), pp.1-10, 2012.

• Husanbir Pannu, Jianguo Liu and Song Fu
  A Hybrid Anomaly Detection Framework in Cloud Computing using One-Class and Two-Class Support Vector Machines
  International Conference on Advanced Data Mining and Applications (ADMA), pp.1-12, 2012. 

• Qiang Guan, Chi-Chen Chiu, Ziming Zhang and Song Fu
  Efficient and Accurate Anomaly Identification Using Reduced Metric Space in Utility Clouds
  IEEE International Conference on Networking, Architecture, and Storage (NAS), pp.1-10, 2012. 

• Husanbir Pannu, Jianguo Liu and Song Fu
  Autonomic Anomaly Identification for Developing Highly Dependable Utility Clouds
  IEEE Global Communications Conference (GLOBECOM), pp.1-7, 2012. 

• Qiang Guan, Ziming Zhang and Song Fu
  Ensemble of Bayesian Predictors and Decision Trees for Proactive Failure Management in Cloud Computing Systems
  Journal of Communications, Vol. 7, No. 1, pp. 52-61, 2012.

• Qiang Guan, Ziming Zhang and Song Fu
  A Failure Detection and Prediction Mechanism for Enhancing Dependability of Data Centers
  International Journal of Computer Theory and Engineering, In press, 2012.

• Ziming Zhang and Song Fu
  Characterizing Power and Energy Usage in Cloud Computing Systems
  IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2011. 

• Qiang Guan, Ziming Zhang and Song Fu
  Proactive Failure Management by Integrated Unsupervised and Semi-Supervised Learning for Dependable Cloud Systems
  IEEE International Conference on Availability, Reliability and Security (ARES), 2011. 

• Song Fu, Qiang Guan, Ziming Zhang
  Failure Detection and Prediction for Dependable Cloud Computing Systems
  IEEE Global Communication Conference (GLOBECOM), 2011.

• Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, and Song Fu
  Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience
  Resilience, the 17th International European Conference on Parallel and Distributed Computing (Euro-Par), September 2011.

• Ziming Zhang, and Song Fu
  macropower: A Coarse-Grain Power Profiling Framework for Energy-Efficient Cloud Computing
  The 30th IEEE International Performance Computing and Communications Conference (IPCCC), 2011.

• Qiang Guan, Ziming Zhang and Song Fu
  Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing
  The 20th IEEE International Conference on Computer Communications and Networks (ICCCN), 2011. 

• Song Fu, Chengzhong Xu and Helen Shen
  Randomized Load Balancing Strategies with Churn Resilience in Peer-to-Peer Networks
  Journal of Network and Computer Applications, Elsevier, Vol. 34, No. 1, pp. 252-261, 2011.

• Song Fu and Chengzhong Xu
  Failure-Aware Resource Management for High-Availability Computing Clusters with Distributed Virtual Machines
  Journal of Parallel and Distributed Computing, Elsevier, Vol. 70, No. 4, pp. 384-393, 2010.

• Song Fu and Chengzhong Xu
  Quantifying Event Correlations for Proactive Failure Management in Networked Computing Systems
  Journal of Parallel and Distributed Computing, Elsevier, Vol. 70, No. 11, pp. 1100-1109, 2010.

• Ziming Zhang and Song Fu
  A Hierarchical Failure Management Framework for Dependability Assurance in Compute Clusters
  International Journal of Computational Science, Vol. 4, No. 4, pp. 313-326, 2010.

• Ziming Zhang and Song Fu
  Failure Prediction for Autonomic Management of Networked Computer Systems with Availability Assurance
  DPDNS, IEEE International Parallel and Distributed Processing Symposium (IPDPS), April 2010.

• Qiang Guan and Song Fu
  auto-AID: A Data Mining Framework for Autonomic Anomaly Identification in Networked Computer Systems
  The 29th IEEE International Performance Computing and Communications Conference (IPCCC), December 2010. 

• Song Fu
  Dependability Enhancement for Coalition Clusters with Autonomic Failure Management
  The 15th IEEE International Symposium on Computers and Communications (ISCC), June 2010.

• Ziming Zhang and Song Fu
  Proactive Failure Management for High Availability Computing in Computer Clusters
  IEEE International Conference on Computational Sciences and Optimization (CSO), May 2010.

• Qiang Guan, Derek Smith and Song Fu
  Anomaly Detection in Large-Scale Coalition Clusters for Dependability Assurance
  The 17th IEEE International Conference on High Performance Computing (HiPC), December 2010. 

• Song Fu
  Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing
  The 9th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid), 2009. 

• Song Fu and Chengzhong Xu
  Proactive Resource Management for Failure Resilient High Performance Computing Clusters
  The IEEE International Conference on Availability, Reliability and Security (ARES), 2009. 

• Song Fu, Chengzhong Xu and Haiying Shen
  Random Choices for Churn Resilient Load Balancing in Peer-to-Peer Networks
  The 22nd ACM/IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2008.  

• Song Fu and Chengzhong Xu
  Exploring Event Correlation for Failure Prediction in Coalitions of Clusters
  The ACM/IEEE Supercomputing Conference (SC), 2007. (Acceptance rate: 20%) 

• Song Fu and Chengzhong Xu
  Quantifying Temporal and Spatial Correlation of Failure Events for Proactive Management
  The 26th IEEE International Symposium on Reliable Distributed Systems (SRDS), 2007.  

• Song Fu and Chengzhong Xu
  Coordinated Access Control with Spatial Constraints in Coalition Mobile Computing Systems
  Journal of Future Generation Computer Systems, Elsevier, Vol. 23, No. 6, pp. 804-815, 2007.

• Song Fu and Chengzhong Xu
  Stochastic Modeling and Analysis of Hybrid Mobility in Reconfigurable Distributed Virtual Machines
  Journal of Parallel and Distributed Computing, Elsevier, Vol. 66, No. 11, pp. 1442-1454, 2006.

• Song Fu, Chengzhong Xu, Brian Wims, and Ramzi Basharahil
  Distributed Shared Arrays: A Distributed Virtual Machine with Mobility Support for Reconfiguration
  Journal of Cluster Computing, Vol. 9, No. 3, pp. 237-255, 2006.

• Song Fu and Chengzhong Xu
  Service Migration in Distributed Virtual Machines for Adaptive Grid Computing
  The 34th IEEE International Conference on Parallel Processing (ICPP), 2005. (Best Paper Nominee)

• Song Fu and Chengzhong Xu
  A Coordinated Spatio-Temporal Access Control Model for Mobile Computing in Coalition Environments
  The 19th ACM/IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2005.

• Song Fu and Chengzhong Xu
  Mobility Support for Adaptive Grid Computing
  Scalable and Secure Internet Services and Architecture, Chapman & Hall/CRC, 2005.

• Song Fu and Chengzhong Xu
  Mobile Code and Protection
  Handbook of Information Security, John Wiley & Sons, 2005.

• Song Fu and Chengzhong Xu
  Migration Decision for Hybrid Mobility in Reconfigurable Distributed Virtual Machines
  The 33rd IEEE International Conference on Parallel Processing (ICPP), 2004.

• Ramzi Basharahil, Brian Wims, Chengzhong Xu, and Song Fu
  Distributed Shared Array: an Integration of Message Passing and Multithreading on SMP Clusters
  Journal of Supercomputing, Vol. 31, No. 2, pp. 161-184, 2004.

• Chengzhong Xu and Song Fu
  Privilege Delegation and Agent-oriented Access Control in Naplet
  IEEE International Workshop on Mobile Distributed Computing (In conjunction with ICDCS), 2003.

• Song Fu, Zhiquan Jin and Peipei Chen
  A Rate-Based Multicast Protocol for Large-Scale Reliable Transport
  The 17th IEEE International Conference on Advanced Information Networking and Applications, 2003. 

Research Posters

• Jason He (TAMS student)
  CODY: Characterizing Power and Energy Usage with Resource Auto-Configuration in Cloud Computing
  DFW Science and Engineering Fair, Dallas Texas, 2013. [PDF]

• Husanbir Singh Pannu
  Adaptive Anomaly Detection System for Cloud Computing Infrastructures
  The 31st IEEE International Symposium on Reliable Distributed Systems (SRDS), 2012. [PDF]

• Song Fu
  Proactive Failure Management for Dependable Networked Computer Systems
  Department of Computer Science, University of North Texas, 2011. [PDF]