| 2026 | ACL | MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents. | Dongming Jiang, Yi Li, Guanpeng Li, Bingzhe Li |
| 2026 | ICS | Not All Errors Are Equal: A Systematic Study of Error Propagation in Large Language Model Inference. | Yafan Huang, Sheng Di, Guanpeng Li |
| 2026 | ICS | GPZ: GPU-Accelerated Lossy Compressor for Particle Data. | Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Boyuan Zhang, Jiajun Huang, Jinyang Liu, Jiannan Tian, Guanpeng Li, Fengguang Song, Hanqi Guo, Franck Cappello, Kai Zhao |
| 2026 | ICS | 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 |
| 2025 | HPDC | Understanding Error Sensitivity in Checkpointing for Linear System Solvers. | Bohan Zhang, Yafan Huang, Jerry Li, Guanpeng Li |
| 2025 | IPCCC | Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer. | Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello |
| 2025 | ICS | Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach. | Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, Franck Cappello |
| 2025 | SC | Deploying Lightweight Input-Aware Selective Instruction Duplication in HPC Applications. | Md Hasanur Rahman, Guanpeng Li |
| 2025 | SC | GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast. | Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello |
| 2025 | SC | lsCOMP: Efficient Light Source Compression. | Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, Franck Cappello |
| 2025 | SC | Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression. | Zizhe Jian, Pu Jiao, Bohan Zhang, Sheng Di, Xin Liang, Guanpeng Li, Huangliang Dai, Zizhong Chen, Franck Cappello |
| 2024 | AsiaCCS | Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks. | Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman |
| 2024 | DSN | A Fast Low-Level Error Detection Technique. | Zhengyang He, Hui Xu, Guanpeng Li |
| 2024 | SC | 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 |
| 2024 | SC | SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. | Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello |
| 2024 | SC | cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. | Yafan Huang, Sheng Di, Guanpeng Li, Franck Cappello |
| 2024 | SC | Versatile Datapath Soft Error Detection on the Cheap for HPC Applications. | Yafan Huang, Sheng Di, Zhaorui Zhang, Xiaoyi Lu, Guanpeng Li |
| 2023 | CCGRID | 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, Franck Cappello |
| 2023 | DSN | Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience. | Bohan Zhang, Lishan Yang, Guanpeng Li, Hui Xu |
| 2023 | ICDE | 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 |
| 2023 | ISSRE | Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. | Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li |
| 2023 | SC | Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication. | Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li |
| 2023 | SC | 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 |
| 2022 | ISSRE | Message from the RSDA 2022 Workshop Chairs. | Raffaele Della Corte, Marta Catillo, Joo F. Ferreira, Guanpeng Li |
| 2022 | ISSRE | TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks. | Sabuj Laskar, Md Hasanur Rahman, Guanpeng Li |
| 2022 | ISSRE | D2MoN: Detecting and Mitigating Real-Time Safety Violations in Autonomous Driving Systems. | Bohan Zhang, Yafan Huang, Rachael Chen, Guanpeng Li |
| 2022 | PPoPP | Hardening selective protection across multiple program inputs for HPC applications. | Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello |
| 2022 | PRDC | Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults. | Sabuj Laskar, Md Hasanur Rahman, Bohan Zhang, Guanpeng Li |
| 2022 | QRS | Salus: A Novel Data-Driven Monitor that Enables Real-Time Safety in Autonomous Driving Systems. | Bohan Zhang, Yafan Huang, Guanpeng Li |
| 2022 | SC | Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. | Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, Franck Cappello |
| 2021 | DSN | A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction. | Zitao Chen, Guanpeng Li, Karthik Pattabiraman |
| 2021 | DSN | PID-Piper: Recovering Robotic Vehicles from Physical Attacks. | Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman |
| 2021 | DSN | Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021. | Hui Xu, Guanpeng Li, Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramr |
| 2021 | PPoPP | A novel memory-efficient deep learning training framework via error-bounded lossy compression. | Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | SC | PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications. | Md Hasanur Rahman, Aabid Shamji, Shengjian Guo, Guanpeng Li |
| 2020 | IOLTS | Error Resilient Machine Learning for Safety-Critical Systems: Position Paper. | Karthik Pattabiraman, Guanpeng Li, Zitao Chen |
| 2020 | ISSRE | TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. | Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2020 | ISSRE | AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. | Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2020 | SC | GPU-trident: efficient modeling of error propagation in GPU programs. | Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Kumar Sastry Hari |
| 2019 | ISSRE | 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 |
| 2019 | SC | Evaluating Compiler IR-Level Selective Instruction Duplication with Realistic Hardware Errors. | Chun-Kai Chang, Guanpeng Li, Mattan Erez |
| 2019 | SC | Untitled record | Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2018 | DSN | Modeling Input-Dependent Error Propagation in Programs. | Guanpeng Li, Karthik Pattabiraman |
| 2018 | DSN | Modeling Soft-Error Propagation in Programs. | Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai |
| 2018 | ISSRE | TensorFI: A Configurable Fault Injector for TensorFlow Applications. | Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2017 | DSN | Modeling Error Propagation in Programs. | Guanpeng Li |
| 2017 | SC | Understanding error propagation in deep learning neural network (DNN) accelerators and applications. | Guanpeng Li, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler |
| 2016 | SC | Understanding error propagation in GPGPU applications. | Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose |
| 2015 | DSN | Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs. | Guanpeng Li, Qining Lu, Karthik Pattabiraman |
| 2015 | ISSRE | Experience report: An application-specific checkpointing technique for minimizing checkpoint corruption. | Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose |
| 2014 | DSN | Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults. | Jiesheng Wei, Anna Thomas, Guanpeng Li, Karthik Pattabiraman |