| 2025 | CHASE | HealthLit: A Large Language Model Driven Health Literacy Fidelity Audit and Feedback System. | Hang Tran, Sameep Shah, Donger Chen, Jixin Wang, Yunhe Feng, Carol Howe, Lindsey Patton, Liran Ma, Song Fu |
| 2025 | CVPR | Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration. | Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou |
| 2025 | EMNLP | DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. | Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng |
| 2025 | ICCV | GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. | Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang |
| 2024 | ECCV | HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles. | Deyuan Qu, Qi Chen, Yongqi Zhu, Yihao Zhu, Sergei S. Avedisov, Song Fu, Qing Yang |
| 2024 | IROS | SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles. | Deyuan Qu, Qi Chen, Tianyu Bai, Hongsheng Lu, Heng Fan, Hao Zhang, Song Fu, Qing Yang |
| 2023 | ICCCN | $\mathrm{P}^{3}$: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy. | Tianyu Bai, Danyang Shao, Ying He, Song Fu, Qing Yang |
| 2023 | ICPP | Output-Directed Dynamic Quantization for DNN Acceleration. | Beilei Jiang, Xianwei Cheng, Yuan Li, Jocelyn Zhang, Song Fu, Qing Yang, Mingxiong Liu, Alejandro Olvera |
| 2022 | ICDCS | Distributed Data-Sharing Consensus in Cooperative Perception of Autonomous Vehicles. | Chenxi Qiu, Sourabh Yadav, Anna Cinzia Squicciarini, Qing Yang, Song Fu, Juanjuan Zhao, Chengzhong Xu |
| 2022 | UCC | Online Self-Evolving Anomaly Detection for Reliable Cloud Computing. | Tianyu Bai, Haili Wang, Jingda Guo, Xu Ma, Mahendra Talasila, Sihai Tang, Song Fu, Qing Yang |
| 2021 | FPGA | APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. | Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu |
| 2020 | AAAI | Gait Recognition for Co-Existing Multiple People Using Millimeter Wave Sensing. | Zhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadong Ma, Jianhua Liu, Ning Yang |
| 2020 | ICIP | Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks. | Xu Ma, Zhinan Qiao, Jingda Guo, Sihai Tang, Qi Chen, Qing Yang, Song Fu |
| 2020 | IJCAI | Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position. | Xu Ma, Song Fu |
| 2019 | CLUSTER | Building Reliable High-Performance Storage Systems: An Empirical and Analytical Study. | Zhi Qiao, Song Fu, Hsing-Bung Chen, Bradley W. Settlemyer |
| 2019 | DSN | Characterizing and Modeling Reliability of Declustered RAID for HPC Storage Systems. | Zhi Qiao, Shuwen Liang, Song Fu, Hsing-Bung Chen, Bradley W. Settlemyer |
| 2019 | HPCC | Topology-Aware Event Sequence Mining for Understanding HPC System Behavior and Detecting Anomalies. | Zongze Li, Song Fu, Sean Blanchard, Michael Lang |
| 2019 | ICDCS | Cooper: Cooperative Perception for Connected Autonomous Vehicles Based on 3D Point Clouds. | Qi Chen, Sihai Tang, Qing Yang, Song Fu |
| 2019 | ICPP | Near-Data Processing-Enabled and Time-Aware Compaction Optimization for LSM-tree-based Key-Value Stores. | Hui Sun, Wei Liu, Jianzhong Huang, Song Fu, Zhi Qiao, Weisong Shi |
| 2019 | SRDS | Exploring Declustered Software RAID for Enhanced Reliability and Recovery Performance in HPC Storage Systems. | Zhi Qiao, Shuwen Liang, Hsing-Bung Chen, Song Fu, Bradley W. Settlemyer |
| 2018 | DASC | UNS: A Portable, Mobile, and Exchangeable Namespace for Supporting Fetch-from-Anywhere Big Data Eco-Systems. | Hsing-bung Chen, Qiang Guan, Song Fu |
| 2018 | DASC | Incorporate Proactive Data Protection in ZFS Towards Reliable Storage Systems. | Zhi Qiao, Jacob Hochstetler, Shuwen Liang, Song Fu, Hsing-bung Chen, Bradley W. Settlemyer |
| 2018 | DSN | Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. | Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari |
| 2018 | HPCC | Event Block Identification and Analysis for Effective Anomaly Detection to Build Reliable HPC Systems. | Zongze Li, Matthew Davidson, Song Fu, Sean Blanchard, Michael Lang |
| 2016 | HPCC | An Optimal Police Patrol Planning Strategy for Smart City Safety. | Jacob Hochstetler, Lauren Hochstetler, Song Fu |
| 2016 | ICMLA | Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs. | Elisabeth Baseman, Sean Blanchard, Zongze Li, Song Fu |
| 2016 | IPCCC | Quantifying entity criticality for fault impact analysis and dependability enhancement in software-defined networks. | Song Huang, Zhiang Deng, Song Fu |
| 2015 | HPDC | Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection. | Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Song Fu |
| 2015 | IPCCC | PASSI: A Parallel, Reliable and Scalable Storage Software Infrastructure for active storage system and I/O environments. | Hsing-bung Chen, Song Fu |
| 2015 | IPCCC | A customizable MapReduce framework for complex data-intensive workflows on GPUs. | Zhi Qiao, Shuwen Liang, Hai Jiang, Song Fu |
| 2015 | PRDC | Differentiated Failure Remediation with Action Selection for Resilient Computing. | Song Huang, Song Fu, Nathan DeBardeleben, Qiang Guan, Cheng-Zhong Xu |
| 2015 | SC | Measurement and characterization of Haswell power and energy consumption. | Song Huang, Michael Lang, Scott Pakin, Song Fu |
| 2014 | SC | Trapped capacity: scheduling under a power cap to maximize machine-room throughput. | Ziming Zhang, Michael Lang, Scott Pakin, Song Fu |
| 2014 | VLDB | Characterizing Workload of Web Applications on Virtualized Servers. | Xiajun Wang, Song Huang, Song Fu, Krishna Kavi |
| 2013 | GLOBECOM | Wavelet-based multi-scale anomaly identification in cloud computing systems. | Qiang Guan, Song Fu |
| 2013 | PRDC | Exploring Time and Frequency Domains for Accurate and Automated Anomaly Detection in Cloud Computing Systems. | Qiang Guan, Song Fu, Nathan DeBardeleben, Sean Blanchard |
| 2013 | SRDS | Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures. | Qiang Guan, Song Fu |
| 2012 | ADMA | A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines. | Song Fu, Jianguo Liu, Husanbir Singh Pannu |
| 2012 | GLOBECOM | A self-evolving anomaly detection framework for developing highly dependable utility clouds. | Husanbir Singh Pannu, Jianguo Liu, Song Fu |
| 2012 | IPCCC | AFD: Adaptive failure detection system for cloud computing infrastructures. | Husanbir Singh Pannu, Jianguo Liu, Qiang Guan, Song Fu |
| 2012 | IPCCC | An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures. | Ziming Zhang, Qiang Guan, Song Fu |
| 2012 | PRDC | CDA: A Cloud Dependability Analysis Framework for Characterizing System Dependability in Cloud Computing Infrastructures. | Qiang Guan, Chi-Chen Chiu, Song Fu |
| 2012 | SRDS | AAD: Adaptive Anomaly Detection System for Cloud Computing Infrastructures. | Husanbir Singh Pannu, Jianguo Liu, Song Fu |
| 2011 | CloudCom | Characterizing Power and Energy Usage in Cloud Computing Systems. | Ziming Zhang, Song Fu |
| 2011 | EuroPar | Experimental Framework for Injecting Logic Errors in a Virtual Machine to Profile Applications for Soft Error Resilience. | Nathan DeBardeleben, Sean Blanchard, Qiang Guan, Ziming Zhang, Song Fu |
| 2011 | GLOBECOM | Performance Metric Selection for Autonomic Anomaly Detection on Cloud Computing Systems. | Song Fu |
| 2011 | ICCCN | Ensemble of Bayesian Predictors for Autonomic Failure Management in Cloud Computing. | Qiang Guan, Ziming Zhang, Song Fu |
| 2011 | IPCCC | Macropower: A coarse-grain power profiling framework for energy-efficient cloud computing. | Ziming Zhang, Song Fu |
| 2010 | COMPSAC | An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems. | Derek Smith, Qiang Guan, Song Fu |
| 2010 | HiPC | Anomaly detection in large-scale coalition clusters for dependability assurance. | Qiang Guan, Derek Smith, Song Fu |
| 2010 | IPCCC | auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems. | Qiang Guan, Song Fu |
| 2010 | IPCCC | Profiling and analysis of power consumption for virtualized systems and applications. | Ziming Zhang, Song Fu |
| 2010 | ISCC | Dependability enhancement for coalition clusters with autonomic failure management. | Song Fu |
| 2009 | CCGRID | Failure-Aware Construction and Reconfiguration of Distributed Virtual Machines for High Availability Computing. | Song Fu |
| 2007 | SC | Exploring event correlation for failure prediction in coalitions of clusters. | Song Fu, Cheng-Zhong Xu |
| 2007 | SRDS | Quantifying Temporal and Spatial Correlation of Failure Events for Proactive Management. | Song Fu, Cheng-Zhong Xu |
| 2005 | ICPP | Service Migration in Distributed Virtual Machines for Adaptive Grid Computing. | Song Fu, Cheng-Zhong Xu |
| 2004 | ICPP | Migration Decision for Hybrid Mobility in Reconfigurable Distributed Virtual Machines. | Song Fu, Cheng-Zhong Xu |
| 2003 | AINA | A Rate-Based Multicast Protocol for Large-Scale Reliable Transport. | Song Fu, Zhiquan Jin, Peipei Chen |