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:

Bibliography

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

Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process.
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors.
CoRR, 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

PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

On Hyperdimensional Computing-based Federated Learning: A Case Study.
Proceedings of the International Joint Conference on Neural Networks, 2023

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 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

Adversarial Attack on Hyperdimensional Computing-based NLP Applications.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults.
CoRR, 2022

NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.
CoRR, 2022

Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process.
CoRR, 2022

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.
CoRR, 2022

HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing.
CoRR, 2022

AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022

MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Handcrafted and Neural Network Based Features for Outlier Modulation Detection.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing.
CoRR, 2021

Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS.
CoRR, 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

HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

Workload-Aware Approximate Computing Configuration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Introduction to the special issue on dependable cyber physical systems.
J. Syst. Archit., 2020

Neural Network Verification through Replication.
CoRR, 2020

A Machine Learning-Based Error Model of Voltage-Scaled Circuits.
Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

AxBy: Approximate Computation Bypass for Data-Intensive Applications.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

2019
TCAD EIC Message: February 2019.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Detecting and Bypassing Trivial Computations in Convolutional Neural Networks.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

Energy Efficient GPU Applications Through Computation Skip.
Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019

DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

2018
Improved Timing Error Resilience of Microelectronic Computing Systems using Cross-layer Optimizations
PhD thesis, 2018


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