Xun Jiao

Orcid: 0000-0003-4476-2501

Affiliations:
  • Villanova University, Villanova, USA


According to our database1, Xun Jiao authored at least 39 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques.
ACM Comput. Surv., July, 2025

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications.
ACM Comput. Surv., July, 2025

Exploring Hyperdimensional Computing Robustness Against Hardware Errors.
IEEE Trans. Computers, June, 2025

2024
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection.
IEEE Trans. Computers, June, 2024

Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.
IEEE Embed. Syst. Lett., March, 2023

2022
DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Automated Architecture Search for Brain-inspired Hyperdimensional Computing.
CoRR, 2022

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

ODHD: one-class brain-inspired hyperdimensional computing for outlier detection.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Semantic Learning and Emulation Based Cross-Platform Binary Vulnerability Seeker.
IEEE Trans. Software Eng., 2021

DeepFuzzer: Accelerated Deep Greybox Fuzzing.
IEEE Trans. Dependable Secur. Comput., 2021

Towards scalable, secure, and smart mission-critical IoT systems: review and vision.
Proceedings of the EMSOFT '21: Proceedings of the 2021 International Conference on Embedded Software, Virtual Event, October 8, 2021

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper).
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Dynamic DAG Scheduling on Multiprocessor Systems: Reliability, Energy, and Makespan.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications.
IEEE Embed. Syst. Lett., 2020

Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations.
IEEE Des. Test, 2020

Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
Polar: Function Code Aware Fuzz Testing of ICS Protocol.
ACM Trans. Embed. Comput. Syst., 2019

EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers.
Proceedings of the 28th USENIX Security Symposium, 2019

Industry practice of coverage-guided enterprise Linux kernel fuzzing.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Engineering a Better Fuzzer with Synergically Integrated Optimizations.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

2018
CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units.
IEEE Trans. Computers, 2018

EnFuzz: From Ensemble Learning to Ensemble Fuzzing.
CoRR, 2018

SAFL: increasing and accelerating testing coverage with symbolic execution and guided fuzzing.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Energy-efficient neural networks using approximate computation reuse.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

SLoT: A supervised learning model to predict dynamic timing errors of functional units.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Combining structural and timing errors in overclocked inexact speculative adders.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
WILD: A workload-based learning model to predict dynamic delay of functional units.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

2015
Supervised learning based model for predicting variability-induced timing errors.
Proceedings of the IEEE 13th International New Circuits and Systems Conference, 2015


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