Xun Jiao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Xun Jiao 001 (Villanova University, Villanova, USA)
- Xun Jiao 002 (Villanova University, Villanova, USA)
- Xun Jiao 003 (Academy of Military Sciences, Beijing, China)
Bibliography
2025
CP-Bench: A PyTorch Test Suite to Detect AI Hardware Failure, Performance Degradation, and Silent Data Corruption.
Proceedings of the IEEE International Test Conference, 2025
Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study.
Proceedings of the 36th IEEE International Symposium on Software Reliability Engineering, 2025
Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025
Hardware Telemetry at Scale: A Case Study on SSDs Endurance Monitoring in Datacenters.
Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025
Large-Scale AI Infra Reliability: Challenges, Strategies, and Llama 3 Training Experience.
Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025
2024
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions.
CoRR, 2024
Research on Task Migration Problem Based on Link Uncertainty in Adversarial Scenarios.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study.
Proceedings of the IEEE Real-Time Systems Symposium, 2023
Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions.
Proceedings of the IEEE International Conference on Acoustics, 2023
Leveraging Machine Learning to Understand Green Stormwater Infrastructure Performance Risks.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults.
CoRR, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021
2020
J. Syst. Archit., 2020
2019
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
2018
Improved Timing Error Resilience of Microelectronic Computing Systems using Cross-layer Optimizations
PhD thesis, 2018