Xun Jiao

According to our database, Xun Jiao authored at least 81 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations.

Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing.

Dongning Ma, Tajana Simunic Rosing, Xun Jiao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities.

Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj

IEEE Trans. Neural Networks Learn. Syst., September, 2023

A Transformer-Based Contrastive Semi-Supervised Learning Framework for Automatic Modulation Recognition.

Weisi Kong, Xun Jiao, Yuhua Xu, Bolin Zhang, Qinghai Yang

IEEE Trans. Cogn. Commun. Netw., August, 2023

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.

Ruixuan Wang, Dongning Ma, Xun Jiao

IEEE Embed. Syst. Lett., March, 2023

A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection.

Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis

CoRR, 2023

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications.

Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris

CoRR, 2023

Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques.

Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris

CoRR, 2023

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

Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar

CoRR, 2023

Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study.

Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar

Proceedings of the IEEE Real-Time Systems Symposium, 2023

PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks.

Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

On Hyperdimensional Computing-based Federated Learning: A Case Study.

Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao

Proceedings of the International Joint Conference on Neural Networks, 2023

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning.

Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani

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.

Ruixuan Wang, Yue Qi, Mojtaba Vaezi, Xun Jiao, Moeness Amin

Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Machine Learning to Understand Green Stormwater Infrastructure Performance Risks.

Sizhe Zhang, Achira Amur, Emma Olson, Peleg Kremer, Xun Jiao, Virginia Smith, Bridget Wadzuk

Proceedings of the IEEE Global Humanitarian Technology Conference, 2023

Adversarial Attack on Hyperdimensional Computing-based NLP Applications.

Sizhe Zhang, Zhao Wang, Xun Jiao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks.

Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.

Dongning Ma, Pengfei Zhao, Xun Jiao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey.

Dongning Ma, Sizhe Zhang, Xun Jiao

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue.

Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations.

Dongning Ma, Xinqiao Zhang, Ke Huang, Yu Jiang, Wanli Chang, Xun Jiao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

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

Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar

CoRR, 2022

NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.

Dongning Ma, Pengfei Zhao, Xun Jiao

CoRR, 2022

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

Dongning Ma, Xun Jiao

CoRR, 2022

Automated Architecture Search for Brain-inspired Hyperdimensional Computing.

Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang

CoRR, 2022

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

Dongning Ma, Sizhe Zhang, Xun Jiao

CoRR, 2022

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing.

Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers.

Dongning Ma, Xue Qin, Xun Jiao

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling.

Sizhe Zhang, Mohsen Imani, Xun Jiao

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling.

Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing.

Ruixuan Wang, Xun Jiao

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

ODHD: one-class brain-inspired hyperdimensional computing for outlier detection.

Ruixuan Wang, Xun Jiao, X. Sharon Hu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.

Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022

MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing.

Dongning Ma, Rahul Thapa, Xun Jiao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Handcrafted and Neural Network Based Features for Outlier Modulation Detection.

Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Semantic Learning and Emulation Based Cross-Platform Binary Vulnerability Seeker.

Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, Jiaguang Sun

IEEE Trans. Software Eng., 2021

DeepFuzzer: Accelerated Deep Greybox Fuzzing.

Jie Liang, Yu Jiang, Mingzhe Wang, Xun Jiao, Yuanliang Chen, Houbing Song, Kim-Kwang Raymond Choo

IEEE Trans. Dependable Secur. Comput., 2021

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

Dongning Ma, Xun Jiao

CoRR, 2021

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

Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao

CoRR, 2021

Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks.

Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao

Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing.

Rahul Thapa, Dongning Ma, Xun Jiao

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing.

Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

Towards scalable, secure, and smart mission-critical IoT systems: review and vision.

Xiaolong Guo, Song Han, X. Sharon Hu, Xun Jiao, Yier Jin, Fanxin Kong, Michael Lemmon

Proceedings of the EMSOFT '21: Proceedings of the 2021 International Conference on Embedded Software, Virtual Event, October 8, 2021

Workload-Aware Approximate Computing Configuration.

Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing.

Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper).

Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao

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.

Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Dynamic DAG Scheduling on Multiprocessor Systems: Reliability, Energy, and Makespan.

Jing Huang, Renfa Li, Xun Jiao, Yu Jiang, Wanli Chang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking.

Jian Gao, Yiwen Xu, Yu Jiang, Zhe Liu, Wanli Chang, Xun Jiao, Jiaguang Sun

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Introduction to the special issue on dependable cyber physical systems.

Junlong Zhou, Xun Jiao, Qingling Zhao, Xiaokang Wang, Shiyan Hu

J. Syst. Archit., 2020

WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications.

Dongning Ma, Xun Jiao

IEEE Embed. Syst. Lett., 2020

Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations.

Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta

IEEE Des. Test, 2020

Neural Network Verification through Replication.

Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj

CoRR, 2020

Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Networks.

Xiaotian Dai, Shuai Zhao, Yu Jiang, Xun Jiao, Xiaobo Sharon Hu, Wanli Chang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks.

Dongning Ma, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu, Xun Jiao

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

A Machine Learning-Based Error Model of Voltage-Scaled Circuits.

Dongning Ma, Xun Jiao

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

AxBy: Approximate Computation Bypass for Data-Intensive Applications.

Dongning Ma, Xun Jiao

Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation.

Zhengxiong Luo, Feilong Zuo, Yuheng Shen, Xun Jiao, Wanli Chang, Yu Jiang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations.

Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Polar: Function Code Aware Fuzz Testing of ICS Protocol.

Zhengxiong Luo, Feilong Zuo, Yu Jiang, Jian Gao, Xun Jiao, Jiaguang Sun

ACM Trans. Embed. Comput. Syst., 2019

TCAD EIC Message: February 2019.

Philip Brisk, Suman Chakraborty, Claudionor Coelho, Abdoulaye Gamatié, Swaroop Ghosh, Xun Jiao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers.

Yuanliang Chen, Yu Jiang, Fuchen Ma, Jie Liang, Mingzhe Wang, Chijin Zhou, Xun Jiao, Zhuo Su

Proceedings of the 28th USENIX Security Symposium, 2019

Industry practice of coverage-guided enterprise Linux kernel fuzzing.

Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang, Jiaguang Sun

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Detecting and Bypassing Trivial Computations in Convolutional Neural Networks.

Dongning Ma, Xun Jiao

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design.

Yu Jiang, Mingzhe Wang, Xun Jiao, Houbing Song, Hui Kong, Rui Wang, Yongxin Liu, Jian Wang, Jiaguang Sun

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.

Jie Liang, Yuanliang Chen, Mingzhe Wang, Yu Jiang, Zijiang Yang, Chengnian Sun, Xun Jiao, Jiaguang Sun

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Energy Efficient GPU Applications Through Computation Skip.

Dongning Ma, Xun Jiao

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.

Dongning Ma, Siyu Shen, Xun Jiao

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

2018

CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units.

Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta

IEEE Trans. Computers, 2018

EnFuzz: From Ensemble Learning to Ensemble Fuzzing.

Yuanliang Chen, Yu Jiang, Jie Liang, Mingzhe Wang, Xun Jiao

CoRR, 2018

SAFL: increasing and accelerating testing coverage with symbolic execution and guided fuzzing.

Mingzhe Wang, Jie Liang, Yuanliang Chen, Yu Jiang, Xun Jiao, Han Liu, Xibin Zhao, Jiaguang Sun

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Energy-efficient neural networks using approximate computation reuse.

Xun Jiao, Vahideh Akhlaghi, Yu Jiang, Rajesh K. Gupta

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.

Xun Jiao, Mulong Luo, Jeng-Hau Lin, Rajesh K. Gupta

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.

Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Combining structural and timing errors in overclocked inexact speculative adders.

Xun Jiao, Vincent Camus, Mattia Cacciotti, Yu Jiang, Christian C. Enz, Rajesh K. Gupta

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.

Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta

Proceedings of the 34th IEEE International Conference on Computer Design, 2016

2015

Supervised learning based model for predicting variability-induced timing errors.

Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta

Proceedings of the IEEE 13th International New Circuits and Systems Conference, 2015

2013

Bayesian-Network-Based Reliability Analysis of PLC Systems.

Yu Jiang, Hehua Zhang, Xiaoyu Song, Xun Jiao, William N. N. Hung, Ming Gu, Jiaguang Sun

IEEE Trans. Ind. Electron., 2013

An Effective Heuristic-Based Approach for Partitioning.

Xibin Zhao, Hehua Zhang, Yu Jiang, Songzheng Song, Xun Jiao, Ming Gu

J. Appl. Math., 2013

2012

Reliability Analysis of PLC Systems by Bayesian Network.

Hehua Zhang, Yu Jiang, Xun Jiao, Xiaoyu Song, William N. N. Hung, Ming Gu

Proceedings of the Sixth International Conference on Software Security and Reliability, 2012

Uncertain Model and Algorithm for Hardware/Software Partitioning.

Yu Jiang, Hehua Zhang, Xun Jiao, Xiaoyu Song, William N. N. Hung, Ming Gu, Jiaguang Sun

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2012