Publications After 2020
† My advisee
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 (DSN), 2024 (Acceptance rate: 20%)
A Generic and Efficient Framework for Estimating Lossy Compressibility of Scientific Data
Md Hasanur Rahman†, Sheng Di, Guanpeng Li, Franck Cappello
[MSST'24]: International Conference on Massive Storage Systems and Technology (MSST), 2024
Investigating the Impact of Transient Hardware Faults on Deep Learning Neural Network Inference
Md Hasanur Rahman†, Sabuj Laskar†, Guanpeng Li
[STVR]: Software Testing, Verification and Reliability (STVR), 2024
DRUTO: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications
Md Hasanur Rahman†, Sheng Di, Shengjian Guo, Xiaoyi Lu, Guanpeng Li, and Franck Cappello
[IPDPS'24]: IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2024
NVMe-oPF: Designing Efficient Priority Schemes for NVMe-over-Fabrics with Multi-Tenancy Support
Darren Ng, Andrew Lin, Arjun Kashyap, Guanpeng Li, and Xiaoyi Lu
[IPDPS'24]: IEEE International Parallel & Distributed Processing Symposium (IPDPS), 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 (AsiaCCS), 2024 (Acceptance rate: 21%)
2023
Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions
Zhengyang He†*, Yafan Huang†*, Lingda Li, and Guanpeng Li
[ISSRE'23]: IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023 (Acceptance rate: 25.1%) (* co-first authors)
cuSZp: An Ultra-Fast GPU Error-Bounded Lossy Compression Framework with Optimized End-to-End Performance
Yafan Huang†,Sheng Di, Xiaodong Yu, Guanpeng Li, and Franck Cappello
[SC'23]: International Conference for High-Performance Computing, Networking, Storage and Analysis (Acceptance rate: 23.9%)
Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication
Zhengyang He†, Yafan Huang†, Hui Xu, Dingwen Tao, and Guanpeng Li
[SC'23]: International Conference for High-Performance Computing, Networking, Storage and Analysis (Acceptance rate: 23.9%)
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression
Yafan Huang†, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot and Franck Cappello
[CCGrid'23]: IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (Acceptance rate: 20%)
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
2022
SALUS: A Novel Data-Driven Approach for Enabling Real-Time Safety of Autonomous Vehicles
Bohan Zhang†, Yafan Huang†, Guanpeng Li
[QRS'22]: IEEE International Conference on Software Quality, Reliability, and Security (Acceptance rate: 27.4%)
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 (Acceptance rate: 36%)
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs
Yafan Huang†, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello
[SC'22]: International Conference for High-Performance Computing, Networking, Storage and Analysis (Acceptance rate: 25.3%)
Best Paper Award Finalist
Best Student Paper Award Finalist Fault Injection for TensorFlow Applications
Niranjhana Narayanany, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben
[TDSC]: IEEE Transactions on Dependable and Secure Computing COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
Sian Jin, Chengming Zhang, Jiannan Tian, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
[VLDB'22]: International Conference on Very Large Data Bases
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]: International Conference for High-Performance Computing, Networking, Storage and Analysis (Acceptance rate: 23.6%)
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
Zitao Chen, Guanpeng Li, and Karthik Pattabiraman
[DSN'21]: IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance rate: 16.5%)
Best Paper Award Runner-Up
Adopted by Intel OpenVINO [details]
PID-Piper: Recovering Robotic Vehicles from Physical Attacks
Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, and Karthik Pattabiraman
[DSN'21]: IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance rate: 16.5%)
Best Paper Award
Publications Before 2020
GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs
Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai and Siva Hari
[SC'20]: International Conference for High-Performance Computing, Networking, Storage and Analysis (SC), 2020 (Acceptance rate: 25%) TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications.
Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben
[ISSRE'20]: Proceedings of IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020 (Acceptance Rate: 25%) AV-Fuzzer: Finding Safety Violations in Autonomous Driving Systems.
Guanpeng Li, Yiran Li, Saurabh Jha, Tim Tsai, Mike Sullivan, Siva Hari, Zbigniew Kalbarczyk and Ravi Iyer
[ISSRE'20]: Proceedings of IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020 (Acceptance Rate: 25%)
Best Paper Award
A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection
Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman
[ISSRE'19]: IEEE International Conference on Software Reliability Engineering (Acceptance Rate: 31%)
BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems
Zitao Chen, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben
[SC'19]: International Conference for High-Performance Computing, Networking, Storage and Analysis (Acceptance Rate: 21%) Improving the Accuracy of IR-Level Fault Injection
Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman
[TDSC]: IEEE Transactions on Dependable and Secure Computing, 2019 Modeling Soft-Error Propagation in Programs
Guanpeng Li, Karthik Pattabiraman, Siva Hari, Mike Sullivan, and Timothy Tsai
[DSN'18]: IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance Rate: 25%)
Best Paper Award Runner-Up Modeling Input-Dependent Error Propagation in Programs
Guanpeng Li and Karthik Pattabiraman
[DSN'18]: IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance Rate: 25%) Understanding Error Propagation in Deep-Learning Neural Network (DNN) Accelerators and Applications
Guanpeng Li, Siva Hari, Mike Sullivan, Tim Tsai, Karthik Pattabiraman, Joel Emer, and Steve Keckler
[SC'17]: International Conference for High-Performance Computing, Networking, Storage and Analysis (Acceptance Rate: 19%)
IEEE Top Picks in Test and Reliability (2023)
Understanding Error Propagation in GPGPU Applications
Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, and Pradip Bose
[SC'16]: International Conference for High-Performance Computing, Networking, Storage and Analysis (Acceptance Rate: 18%) Configurable Detection of SDC-Causing Errors in Programs
Qining Lu, Guanpeng Li, Karthik Pattabiraman, Meeta S. Gupta and Jude A. Rivers
[TECS'16]: ACM Transactions on Embedded Computing Systems (TECS), 2016 Experience Report: An Application-specific Checkpointing Technique for Minimizing Checkpoint Corruption
Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, and Pradip Bose
[ISSRE'15]: IEEE International Conference on Software Reliability Engineering (Acceptance Rate: 32%) Fined-grained Characterization of Long Latency Causing Crashes in Programs
Guanpeng Li, Qining Lu, and Karthik Pattabiraman
[DSN'15]: IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance Rate: 22%) AutoFLox: An Automatic Fault Localizer for Client-Side JavaScript
Frolin Ocariza, Guanpeng Li, Karthik Pattabiraman and Ali Mesbah
[STVR'15]: IEEE Software Testing, Verification and Reliability (STVR), 2015 Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults
Jiesheng Wei, Anna Thomas, Guanpeng Li, and Karthik Pattabiraman
[DSN'14]: IEEE/IFIP International Conference on Dependable Systems and Networks (Acceptance Rate: 30%)
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