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Selected Referee Publications
⟠ My advisee
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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)
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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)
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
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