Xun Jiao

73 papers A* 6A 11B 1C 2Misc 3Journal 31Unranked 19
YearRankTypeTitle / Venue / Authors
2026 A conf
Stealing Black-box Hyperdimensional Computing Models Without Data.
WSDM
Dongning Ma, Ruixuan Wang, Xun Jiao
2025 J jnl
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques.
ACM Comput. Surv.
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammed Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2025 J jnl
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications.
ACM Comput. Surv.
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2025 J jnl
Exploring Hyperdimensional Computing Robustness Against Hardware Errors.
IEEE Trans. Computers
Sizhe Zhang, Kyle Juretus, Xun Jiao
2024 J jnl
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection.
IEEE Trans. Computers
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
2024 — conf
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process.
ISQED
Dongning Ma, Cong Hao, Xun Jiao
2024 A* conf
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding.
SIGIR
Dongning Ma, Xun Jiao
2023 J jnl
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection.
CoRR
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
2023 J jnl
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques.
CoRR
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2023 J jnl
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications.
CoRR
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
2023 — conf
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue.
ASP-DAC
Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang
2023 A conf
Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks.
DATE
Hamza Errahmouni Barkam, SungHeon Evan Jeong, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani
2023 J jnl
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.
IEEE Embed. Syst. Lett.
Ruixuan Wang, Dongning Ma, Xun Jiao
2023 J jnl
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors.
CoRR
Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar
2023 A conf
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning.
ICCAD
Hamza Errahmouni Barkam, SungHeon Evan Jeong, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani
2023 B conf
On Hyperdimensional Computing-based Federated Learning: A Case Study.
IJCNN
Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao
2023 — conf
PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.
CVPR Workshops
Dongning Ma, Pengfei Zhao, Xun Jiao
2023 — conf
PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks.
ISQED
Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao
2023 — conf
Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey.
ASP-DAC
Dongning Ma, Sizhe Zhang, Xun Jiao
2023 J jnl
Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dongning Ma, Tajana Simunic Rosing, Xun Jiao
2022 J jnl
Automated Architecture Search for Brain-inspired Hyperdimensional Computing.
CoRR
Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang
2022 — conf
AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers.
ISQED
Dongning Ma, Xue Qin, Xun Jiao
2022 Misc conf
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI.
CODES+ISSS
Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.
2022 J jnl
DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dongning Ma, Xinqiao Zhang, Ke Huang, Yu Jiang, Wanli Chang, Xun Jiao
2022 J jnl
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.
CoRR
Ruixuan Wang, Dongning Ma, Xun Jiao
2022 A conf
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling.
DATE
Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao
2022 J jnl
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing.
CoRR
Dongning Ma, Sizhe Zhang, Xun Jiao
2022 — conf
Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing.
ISVLSI
Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang
2022 J jnl
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process.
CoRR
Dongning Ma, Xun Jiao
2022 — conf
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing.
BIBM
Dongning Ma, Rahul Thapa, Xun Jiao
2022 J jnl
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing.
CoRR
Dongning Ma, Pengfei Zhao, Xun Jiao
2022 A* conf
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection.
DAC
Ruixuan Wang, Xun Jiao, X. Sharon Hu
2022 J jnl
Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker.
CoRR
Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, Jiaguang Sun
2021 — conf
Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper).
ASAP
Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao
2021 J jnl
DeepFuzzer: Accelerated Deep Greybox Fuzzing.
IEEE Trans. Dependable Secur. Comput.
Jie Liang, Yu Jiang, Mingzhe Wang, Xun Jiao, Yuanliang Chen, Houbing Song, Kim-Kwang Raymond Choo
2021 A* conf
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing.
DAC
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
2021 J jnl
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing.
CoRR
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
2021 — conf
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing.
ISVLSI
Rahul Thapa, Dongning Ma, Xun Jiao
2021 J jnl
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing.
CoRR
Rahul Thapa, Dongning Ma, Xun Jiao
2021 J jnl
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS.
CoRR
Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao
2021 J jnl
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing.
CoRR
Dongning Ma, Xun Jiao
2021 J jnl
Semantic Learning and Emulation Based Cross-Platform Binary Vulnerability Seeker.
IEEE Trans. Software Eng.
Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, Jiaguang Sun
2021 — conf
SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing.
ISVLSI
Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao
2021 Misc conf
Towards scalable, secure, and smart mission-critical IoT systems: review and vision.
EMSOFT
Xiaolong Guo, Song Han, X. Sharon Hu, Xun Jiao, Yier Jin, Fanxin Kong, Michael Lemmon
2021 A conf
Workload-Aware Approximate Computing Configuration.
DATE
Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao
2020 — conf
A Machine Learning-Based Error Model of Voltage-Scaled Circuits.
DSN (Supplements)
Dongning Ma, Xun Jiao
2020 C conf
AxBy: Approximate Computation Bypass for Data-Intensive Applications.
DSD
Dongning Ma, Xun Jiao
2020 — conf
AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks.
ACM Great Lakes Symposium on VLSI
Dongning Ma, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu, Xun Jiao
2020 J jnl
Dynamic DAG Scheduling on Multiprocessor Systems: Reliability, Energy, and Makespan.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jing Huang, Renfa Li, Xun Jiao, Yu Jiang, Wanli Chang
2020 J jnl
EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jian Gao, Yiwen Xu, Yu Jiang, Zhe Liu, Wanli Chang, Xun Jiao, Jiaguang Sun
2020 A conf
Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Networks.
ICCAD
Xiaotian Dai, Shuai Zhao, Yu Jiang, Xun Jiao, Xiaobo Sharon Hu, Wanli Chang
2020 A* conf
ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation.
DAC
Zhengxiong Luo, Feilong Zuo, Yuheng Shen, Xun Jiao, Wanli Chang, Yu Jiang
2020 J jnl
LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang
2020 A* conf
TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations.
DAC
Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang
2020 J jnl
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations.
IEEE Des. Test
Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta
2020 J jnl
WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications.
IEEE Embed. Syst. Lett.
Dongning Ma, Xun Jiao
2019 Misc conf
DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress.
CODES+ISSS
Dongning Ma, Siyu Shen, Xun Jiao
2019 — conf
Detecting and Bypassing Trivial Computations in Convolutional Neural Networks.
NANOARCH
Dongning Ma, Xun Jiao
2019 A* conf
EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers.
USENIX Security Symposium
Yuanliang Chen, Yu Jiang, Fuchen Ma, Jie Liang, Mingzhe Wang, Chijin Zhou, Xun Jiao, Zhuo Su
2019 — conf
Energy Efficient GPU Applications Through Computation Skip.
ICESS
Dongning Ma, Xun Jiao
2019 A conf
Engineering a Better Fuzzer with Synergically Integrated Optimizations.
ISSRE
Jie Liang, Yuanliang Chen, Mingzhe Wang, Yu Jiang, Zijiang Yang, Chengnian Sun, Xun Jiao, Jiaguang Sun
2019 — conf
Industry practice of coverage-guided enterprise Linux kernel fuzzing.
ESEC/SIGSOFT FSE
Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang, Jiaguang Sun
2019 J jnl
Polar: Function Code Aware Fuzz Testing of ICS Protocol.
ACM Trans. Embed. Comput. Syst.
Zhengxiong Luo, Feilong Zuo, Yu Jiang, Jian Gao, Xun Jiao, Jiaguang Sun
2019 — conf
Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design.
iThings/GreenCom/CPSCom/SmartData
Yu Jiang, Mingzhe Wang, Xun Jiao, Houbing Song, Hui Kong, Rui Wang, Yongxin Liu, Jian Wang, Jiaguang Sun
2018 J jnl
CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units.
IEEE Trans. Computers
Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta
2018 J jnl
EnFuzz: From Ensemble Learning to Ensemble Fuzzing.
CoRR
Yuanliang Chen, Yu Jiang, Jie Liang, Mingzhe Wang, Xun Jiao
2018 A conf
Energy-efficient neural networks using approximate computation reuse.
DATE
Xun Jiao, Vahideh Akhlaghi, Yu Jiang, Rajesh K. Gupta
2018 — conf
SAFL: increasing and accelerating testing coverage with symbolic execution and guided fuzzing.
ICSE (Companion Volume)
Mingzhe Wang, Jie Liang, Yuanliang Chen, Yu Jiang, Xun Jiao, Han Liu, Xibin Zhao, Jiaguang Sun
2017 A conf
An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations.
ICCAD
Xun Jiao, Mulong Luo, Jeng-Hau Lin, Rajesh K. Gupta
2017 A conf
Combining structural and timing errors in overclocked inexact speculative adders.
DATE
Xun Jiao, Vincent Camus, Mattia Cacciotti, Yu Jiang, Christian C. Enz, Rajesh K. Gupta
2017 A conf
SLoT: A supervised learning model to predict dynamic timing errors of functional units.
DATE
Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta
2016 C conf
WILD: A workload-based learning model to predict dynamic delay of functional units.
ICCD
Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta
2015 — conf
Supervised learning based model for predicting variability-induced timing errors.
NEWCAS
Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta