Selected Referee Publications

⟠ My advisee

2026


  • From Error-Bounded to Fixed-Ratio: Efficient Sampling-Guided GPU Lossy Compression.
    Bohan Zhang⟠, Yafan Huang⟠, Sheng Di, Guanpeng Li
    [SC'26] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2026 (Acceptance Rate: 19.2%)


  • Z-SPDK: Accelerating Lossy Compressed I/O on NVMe-SSDs.
    Darren Ng, Abdullah Naveed⟠, Duo Zhang, Guanpeng Li, Sheng Di, Xiaoyi Lu
    [SC'26] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2026 (Acceptance Rate: 19.2%)


  • Temporal Modeling of Soft Error Propagation Using Dynamic Bayesian Networks.
    Ahmer Jamil⟠, Md Hasanur Rahman⟠, Bingzhe Li, Xiaoyi Lu, Guanpeng Li
    [SC'26] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2026 (Acceptance Rate: 19.2%)


  • Low-Overhead Silent Error Detection for Large Language Model Inference at Scale.
    Abdullah Naveed⟠, Mahina Sheikh⟠, Guanpeng Li
    [SC'26] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2026 (Acceptance Rate: 19.2%)


  • Resilience for Free: Exploiting Performance-Neutral Redundancy in HPC
    Zhengyang He⟠, Bohan Zhang⟠, Guanpeng Li
    [ISSRE'26] IEEE International Symposium on Software Reliability Engineering, 2026


  • MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents.
    Dongming Jiang, Yi Li, Guanpeng Li, Bingzhe Li
    [ACL'26] Annual Meeting of the Association for Computational Linguistics, Main Conference, 2026 (Acceptance Rate: 19%)


  • PACER: A Userspace Network Rate Controller in MPI with Adaptive Compression for Parallel Applications.
    Yuke Li, Darren Ng, Arjun Kashyap, Sheng Di, Guanpeng Li, Xiaoyi Lu
    [ICS'26] ACM International Conference on Supercomputing, 2026


  • Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference.
    Yafan Huang⟠, Sheng Di, Guanpeng Li
    [ICS'26] ACM International Conference on Supercomputing, 2026


  • GPZ: GPU-Accelerated Lossy Compressor for Particle Data.
    Ruoyu Li, Yafan Huang⟠, Longtao Zhang, Zhouxun Yang, Sheng Di, Boyuan Zhang, Jiajun Huang, Jinyang Liu, Jiannan Tian, Guanpeng Li, Fengguang Song, Hanqi Guo, Franck Cappello, Kai Zhao
    [ICS'26] ACM International Conference on Supercomputing, 2026

2025


  • You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network.
    Yi Li, Zhichun Guo, Guanpeng Li, and Bingzhe Li
    [NeurIP'25] Annual Conference on Neural Information Processing Systems, 2025


  • FedDES: Discrete Event Based Performance Simulation for Federated Learning Systems.
    Zhonghao Chen, Weicong Chen, Duo Zhang, Kibaek Kim, Guanpeng Li, Sheng Di, Xiaoyi Lu
    [SEC'25] ACM/IEEE Symposium on Edge Computing, 2025


  • lsCOMP: Efficient Light Source Compression.
    Yafan Huang⟠, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, Franck Cappello
    [SC'25] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2025


  • Deploying Lightweight Selective Instruction Duplication for HPC Applications.
    Md Hasanur Rahman⟠, and Guanpeng Li
    [SC'25] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2025


  • GPU Lossy Compression for HPC Can Be Versatile and Ultra-fast
    Yafan Huang⟠, Sheng Di, Guanpeng Li, and Franck Cappello
    [SC'25] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2025


  • Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer.
    Md Hasanur Rahman⟠, Sheng Di, Guanpeng Li, Franck Cappello
    [IPCCC'25] IEEE International Performance, Computing, and Communications Conference, 2025


  • A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction.
    Zitao Chen, Guanpeng Li, Karthik Pattabiraman
    [D&T'25] Journal of IEEE Design & Test, 2025


  • Understanding Error Propagation in Deep-Learning Neural Networks Accelerators and Applications.
    Guanpeng Li, Siva Kumar Sastry Hari, Michael B Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S Emer, Stephen W Keckler
    [D&T'25] Journal of IEEE Design & Test, 2025


  • FedEFsz: Fair Cross-Silo Federated Learning System with Error-Bounded Lossy Compression.
    Zhaorui Zhang, Sheng Di, Benben Liu, Zhuoran Ji, Guanpeng Li, Xiaoyi Lu, Amelie Chi Zhou, Khalid Ayed Alharthi, Jiannong Cao
    [TPDS'25] Journal of IEEE Transactions on Parallel and Distributed Systems, 2025


  • A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
    Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang⟠, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, MD Hasanur Rahman⟠, Boyuan Zhang, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Alharthi, Franck Cappello
    [ACM Computing Surveys'25] Journal of ACM Computing Surveys, 2025


  • Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach.
    Boyuan Zhang, Yafan Huang⟠, Sheng Di, Fengguang Song, Guanpeng Li, Franck Cappello
    [ICS'25] ACM International Conference on Supercomputing, 2025
    (Best Paper Award Finalist)


  • GEREM: Fast and Precise Error Resilience Assessment for GPU Microarchitectures.
    Jingweijia Tan, Xurui Li, An Zhong, Kaige Yan, Xiaohui Wei, Guanpeng Li
    [TPDS'25] Journal of IEEE Transactions on Parallel Distributed Systems, 2025

2024


  • cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio
    Yafan Huang⟠, Sheng Di, Guanpeng Li, Franck Cappello
    [SC'24] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2024
    (Best Student Paper Award Finalist)


  • cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation
    Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang⟠, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
    [SC'24] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2024


  • Versatile Datapath Soft Error Detection on the Cheap for HPC Applications
    Yafan Huang⟠, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li
    [SC'24] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2024


  • Diagnosis-Guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks
    Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman
    [AsiaCCS'24] ACM Asia Conference on Computer and Communications Security, 2024


  • A Fast Low-Level Error Detection Technique
    Zhengyang He⟠, Hui Xu, Guanpeng Li
    [DSN'24] IEEE/IFIP International Conference on Dependable Systems and Networks, 2024


  • Investigating the Impact of Transient Hardware Faults on Deep Learning Neural Network Inference
    Md Hasanur Rahman⟠, Sabuj Laskar⟠, Guanpeng Li
    [STVR'24] Journal of Software Testing, Verification and Reliability, 2024


  • NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support
    Darren Ng, Andrew Lin, Arjun Kashyap, Guanpeng Li, Xiaoyi Lu
    [IPDPS'24] IEEE International Parallel and Distributed Processing Symposium , 2024


  • DRUTO: Upper-bounding silent data corruption vulnerability in gpu applications
    Md Hasanur Rahman⟠, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, Franck Cappello
    [IPDPS'24] IEEE International Parallel and Distributed Processing Symposium , 2024


  • A Generic and Efficient Framework for Estimating Lossy Compressibility of Scientific Data
    Md Hasanur Rahman⟠, Sheng Di, Guanpeng Li, Franck Cappello
    [MSST'24] IEEE International Conference on Massive Storage Systems and Technology, 2024

2023


  • Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication
    Zhengyang He⟠, Yafan Huang⟠, Hui Xu, Dingwen Tao, Guanpeng Li
    [SC'23] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2023


  • cuSZp: An Ultra-Fast GPU Error-Bounded Lossy Compression Framework with Optimized End-to-End Performance
    Yafan Huang⟠, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello
    [SC'23] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2023


  • A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets
    Md Hasanur Rahman⟠, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello
    [ICDE'23] IEEE International Conference on Data Engineering, 2023


  • Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions
    Zhengyang He⟠, Yafan Huang⟠, Lingda Li, Guanpeng Li
    [ISSRE'23] IEEE International Symposium on Software Reliability Engineering, 2023


  • Towards Improving Reverse Time Migration Performance by High-Sppeed Lossy Compression
    Yafan Huang⟠, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D Tonellot, Franck Cappello
    [CCGrid'23]IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing, 2023

2022


  • Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs
    Yafan Huang⟠, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
    [SC'22] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2022
    (Best Paper Award Finalist)
    (Best Student Paper Award Finalist)


  • Salus: A Novel Data-Driven Monitor that Enables Real-Time Safety in Autonomous Driving Systems
    Bohan Zhang⟠, Yafan Huang⟠, Guanpeng Li
    [QRS'22]IEEE International Conference on Software Quality, Reliability and Security, 2022


  • Characterizing Deep Learning Neural Network Failures between Algorithmic Inaccuracy and Transient Hardware Faults
    Sabuj Laskar⟠, Md Hasanur Rahman⟠, Bohan Zhang, Guanpeng Li
    [PRDC'22]IEEE Pacific Rim International Symposium on Dependable Computing, 2022


  • Fault Injection for TensorFlow Applications
    Niranjhana Narayanan, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
    [TDSC'22]IEEE Journal of Transactions on Dependable and Secure Computing, 2022


  • COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
    Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
    [VLDB'22] International Conference on Very Large Data Bases, 2022

2021


  • Peppa-X: Finding Program Test Inputs to Bound Silent Data Corruption Vulnerability in HPC Applications
    Md Hasanur Rahman⟠, Aabid Shamji⟠, Shengjian Guo, Guanpeng Li
    [SC'21] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2021


  • A Low-Cost Fault Corrector for Deep Neural Networks through Range Restriction
    Zitao Chen, Guanpeng Li, Karthik Pattabiraman
    [DSN'21] IEEE/IFIP International Conference on Dependable Systems and Networks, 2021
    (Best Paper Award Finalist)
    (IEEE Micro Top Pick in Reliability)


  • PID-Piper: Recovering Robotic Vehicles from Physical Attacks
    Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman
    [DSN'21] IEEE/IFIP International Conference on Dependable Systems and Networks, 2021
    (Best Paper Award)

2020


  • GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs
    Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai, Siva Kumar Sastry Hari
    [SC'20] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2020


  • AV-Fuzzer: Finding Safety Violations in Autonomous Driving Systems
    Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar Iyer
    [ISSRE'20] IEEE International Symposium on Software Reliability Engineering, 2020
    (Best Paper Award)


  • TensorFI: A Flexible Fault Injection Framework for Tensorflow Applications
    Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
    [ISSRE'20] IEEE International Symposium on Software Reliability Engineering, 2020


  • Improving the Accuracy of IR-Level Fault Injection
    Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman
    [ISSRE'20] IEEE International Symposium on Software Reliability Engineering, 2020

Before 2020


  • A Tale of Two Injectors: End-to-End Comparison of IR-Level and Assembly-Level Fault Injection
    Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman
    [ISSRE'19] IEEE International Symposium on Software Reliability Engineering, 2019


  • BINFI: an Efficient Fault Injector for Safety-Critical Machine Learning Systems
    Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
    [SC'19] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2019


  • Modeling Soft-Error Propagation in Programs
    Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael Sullivan, Timothy Tsai
    [DSN'18] IEEE/IFIP International Conference on Dependable Systems and Networks, 2019
    (Best Paper Award Finalist)


  • Modeling Input-Dependent Error Propagation in Programs
    Guanpeng Li, Karthik Pattabiraman
    [DSN'18] IEEE/IFIP International Conference on Dependable Systems and Networks, 2019


  • Configurable Detection of SDC-Causing Errors in Programs
    Guanpeng Li, Karthik Pattabiraman
    [TECS'17] Journal of ACM Transactions on Embedded Computing Systems , 2019


  • Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications
    Guanpeng Li, Siva Hari, Michael Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel Emer, Stephen W Keckler
    [SC'17] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2017
    (IEEE Micro Top Pick in Reliability)


  • Understanding Error Propagation in GPGPU Applications
    Guanpeng Li, Karthik Pattabiraman, Chen-Yang Cher, Pradip Bose
    [SC'16] IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis, 2016


  • Automatic Fault Localization for Client‐Side JavaScript
    Frolin S Ocariza Jr, Guanpeng Li, Karthik Pattabiraman, Ali Mesbah
    [STVR'16] Journal of Software Testing, Verification and Reliability, 2016


  • Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs
    Guanpeng Li, Qining Lu, Karthik Pattabiraman
    [DSN'15]IEEE/IFIP International Conference on Dependable Systems and Networks, 2015


  • Experience Report: An Application-Specific Checkpointing Technique for Minimizing Checkpoint Corruption
    Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose
    [ISSRE'15]IEEE International Symposium on Software Reliability Engineering, 2015


  • Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults
    Jiesheng Wei, Anna Thomas, Guanpeng Li, Karthik Pattabiraman
    [DSN'14]IEEE/IFIP International Conference on Dependable Systems and Networks, 2014