Xun Jiao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 86

Top Topics

Outlier Detection

Functional Units

Top Venues

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

Publications

Dongning Ma, Xun Jiao
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. SIGIR (2024)
Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao
Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. ASPLOS (3) (2024)
Xun Jiao, Fan Fred Lin, Harish Dattatraya Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Venkat Ramesh, Jianyu Huang, Wang Xu, Daniel Moore, Sriram Sankar
PVF (Parameter Vulnerability Factor): A Quantitative Metric Measuring AI Vulnerability Against Parameter Corruptions. CoRR (2024)
Dongning Ma, Cong Hao, Xun Jiao
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. ISQED (2024)
Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. DATE (2024)
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. IEEE Trans. Computers 73 (6) (2024)
Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao
PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks. ISQED (2023)
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR (2023)
Dongning Ma, Sizhe Zhang, Xun Jiao
Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. ASP-DAC (2023)
Weisi Kong, Xun Jiao, Yuhua Xu, Bolin Zhang, Qinghai Yang
A Transformer-Based Contrastive Semi-Supervised Learning Framework for Automatic Modulation Recognition. IEEE Trans. Cogn. Commun. Netw. 9 (4) (2023)
Dongning Ma, Pengfei Zhao, Xun Jiao
PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CVPR Workshops (2023)
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. CoRR (2023)
Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC (2023)
Ruixuan Wang, Yue Qi, Mojtaba Vaezi, Xun Jiao, Moeness Amin
Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions. ICASSP (2023)
Sizhe Zhang, Achira Amur, Emma Olson, Peleg Kremer, Xun Jiao, Virginia Smith, Bridget Wadzuk
Leveraging Machine Learning to Understand Green Stormwater Infrastructure Performance Risks. GHTC (2023)
Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao
On Hyperdimensional Computing-based Federated Learning: A Case Study. IJCNN (2023)
Dongning Ma, Tajana Simunic Rosing, Xun Jiao
Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors. CoRR (2023)
Sizhe Zhang, Zhao Wang, Xun Jiao
Adversarial Attack on Hyperdimensional Computing-based NLP Applications. DATE (2023)
Ruixuan Wang, Dongning Ma, Xun Jiao
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15 (1) (2023)
Xun Jiao, Fan Fred Lin, Matt Xiao, Alban Desmaison, Daniel Moore, Sriram Sankar
Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study. RTSS (2023)
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection. CoRR (2023)
Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD (2023)
Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani
Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE (2023)
Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao
Handcrafted and Neural Network Based Features for Outlier Modulation Detection. IEEECONF (2022)
Ruixuan Wang, Xun Jiao
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. DATE (2022)
Dongning Ma, Xun Jiao
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. CoRR (2022)
Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, Jiaguang Sun
Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker. CoRR (2022)
Dongning Ma, Xinqiao Zhang, Ke Huang, Yu Jiang, Wanli Chang, Xun Jiao
DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Dongning Ma, Xue Qin, Xun Jiao
AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers. ISQED (2022)
Ruixuan Wang, Xun Jiao, X. Sharon Hu
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC (2022)
Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE (2022)
Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang
Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. ISVLSI (2022)
Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. CoRR (2022)
Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR (2022)
Ruixuan Wang, Dongning Ma, Xun Jiao
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR (2022)
Sizhe Zhang, Mohsen Imani, Xun Jiao
ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. ICCAD (2022)
Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. CODES+ISSS (2022)
Dongning Ma, Sizhe Zhang, Xun Jiao
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. CoRR (2022)
Dongning Ma, Rahul Thapa, Xun Jiao
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. BIBM (2022)
Dongning Ma, Pengfei Zhao, Xun Jiao
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CoRR (2022)
Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS. CoRR (2021)
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. DAC (2021)
Dongning Ma, Xun Jiao
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing. CoRR (2021)
Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, Jiaguang Sun
Semantic Learning and Emulation Based Cross-Platform Binary Vulnerability Seeker. IEEE Trans. Software Eng. 47 (11) (2021)
Rahul Thapa, Dongning Ma, Xun Jiao
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. CoRR (2021)
Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao
Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). ASAP (2021)
Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao
SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing. ISVLSI (2021)
Xiaolong Guo, Song Han, X. Sharon Hu, Xun Jiao, Yier Jin, Fanxin Kong, Michael Lemmon
Towards scalable, secure, and smart mission-critical IoT systems: review and vision. EMSOFT (2021)
Rahul Thapa, Dongning Ma, Xun Jiao
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. ISVLSI (2021)
Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao
Workload-Aware Approximate Computing Configuration. DATE (2021)
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. CoRR (2021)
Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks. RTAS (2021)
Jie Liang, Yu Jiang, Mingzhe Wang, Xun Jiao, Yuanliang Chen, Houbing Song, Kim-Kwang Raymond Choo
DeepFuzzer: Accelerated Deep Greybox Fuzzing. IEEE Trans. Dependable Secur. Comput. 18 (6) (2021)
Dongning Ma, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu, Xun Jiao
AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI (2020)
Jing Huang, Renfa Li, Xun Jiao, Yu Jiang, Wanli Chang
Dynamic DAG Scheduling on Multiprocessor Systems: Reliability, Energy, and Makespan. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh K. Gupta
Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations. IEEE Des. Test 37 (5) (2020)
Junlong Zhou, Xun Jiao, Qingling Zhao, Xiaokang Wang, Shiyan Hu
Introduction to the special issue on dependable cyber physical systems. J. Syst. Archit. 108 (2020)
Dongning Ma, Xun Jiao
WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications. IEEE Embed. Syst. Lett. 12 (3) (2020)
Jian Gao, Yiwen Xu, Yu Jiang, Zhe Liu, Wanli Chang, Xun Jiao, Jiaguang Sun
EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang
LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Dongning Ma, Xun Jiao
AxBy: Approximate Computation Bypass for Data-Intensive Applications. DSD (2020)
Dongning Ma, Xun Jiao
A Machine Learning-Based Error Model of Voltage-Scaled Circuits. DSN (Supplements) (2020)
Zhengxiong Luo, Feilong Zuo, Yuheng Shen, Xun Jiao, Wanli Chang, Yu Jiang
ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation. DAC (2020)
Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang
TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. DAC (2020)
Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj
Neural Network Verification through Replication. CoRR (2020)
Xiaotian Dai, Shuai Zhao, Yu Jiang, Xun Jiao, Xiaobo Sharon Hu, Wanli Chang
Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Networks. ICCAD (2020)
Dongning Ma, Siyu Shen, Xun Jiao
DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress. CODES+ISSS (2019)
Yu Jiang, Mingzhe Wang, Xun Jiao, Houbing Song, Hui Kong, Rui Wang, Yongxin Liu, Jian Wang, Jiaguang Sun
Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design. iThings/GreenCom/CPSCom/SmartData (2019)
Philip Brisk, Suman Chakraborty, Claudionor Coelho, Abdoulaye Gamatié, Swaroop Ghosh, Xun Jiao
TCAD EIC Message: February 2019. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (2) (2019)
Dongning Ma, Xun Jiao
Detecting and Bypassing Trivial Computations in Convolutional Neural Networks. NANOARCH (2019)
Heyuan Shi, Runzhe Wang, Ying Fu, Mingzhe Wang, Xiaohai Shi, Xun Jiao, Houbing Song, Yu Jiang, Jiaguang Sun
Industry practice of coverage-guided enterprise Linux kernel fuzzing. ESEC/SIGSOFT FSE (2019)
Jie Liang, Yuanliang Chen, Mingzhe Wang, Yu Jiang, Zijiang Yang, Chengnian Sun, Xun Jiao, Jiaguang Sun
Engineering a Better Fuzzer with Synergically Integrated Optimizations. ISSRE (2019)
Zhengxiong Luo, Feilong Zuo, Yu Jiang, Jian Gao, Xun Jiao, Jiaguang Sun
Polar: Function Code Aware Fuzz Testing of ICS Protocol. ACM Trans. Embed. Comput. Syst. 18 (5s) (2019)
Yuanliang Chen, Yu Jiang, Fuchen Ma, Jie Liang, Mingzhe Wang, Chijin Zhou, Xun Jiao, Zhuo Su
EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers. USENIX Security Symposium (2019)
Dongning Ma, Xun Jiao
Energy Efficient GPU Applications Through Computation Skip. ICESS (2019)
Yuanliang Chen, Yu Jiang, Jie Liang, Mingzhe Wang, Xun Jiao
EnFuzz: From Ensemble Learning to Ensemble Fuzzing. CoRR (2018)
Xun Jiao, Vahideh Akhlaghi, Yu Jiang, Rajesh K. Gupta
Energy-efficient neural networks using approximate computation reuse. DATE (2018)
Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta
CLIM: A Cross-Level Workload-Aware Timing Error Prediction Model for Functional Units. IEEE Trans. Computers 67 (6) (2018)
Mingzhe Wang, Jie Liang, Yuanliang Chen, Yu Jiang, Xun Jiao, Han Liu, Xibin Zhao, Jiaguang Sun
SAFL: increasing and accelerating testing coverage with symbolic execution and guided fuzzing. ICSE (Companion Volume) (2018)
Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta
SLoT: A supervised learning model to predict dynamic timing errors of functional units. DATE (2017)
Xun Jiao, Mulong Luo, Jeng-Hau Lin, Rajesh K. Gupta
An assessment of vulnerability of hardware neural networks to dynamic voltage and temperature variations. ICCAD (2017)
Xun Jiao, Vincent Camus, Mattia Cacciotti, Yu Jiang, Christian C. Enz, Rajesh K. Gupta
Combining structural and timing errors in overclocked inexact speculative adders. DATE (2017)
Xun Jiao, Yu Jiang, Abbas Rahimi, Rajesh K. Gupta
WILD: A workload-based learning model to predict dynamic delay of functional units. ICCD (2016)
Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, José Pineda de Gyvez, Rajesh K. Gupta
Supervised learning based model for predicting variability-induced timing errors. NEWCAS (2015)
Yu Jiang, Hehua Zhang, Xiaoyu Song, Xun Jiao, William N. N. Hung, Ming Gu, Jiaguang Sun
Bayesian-Network-Based Reliability Analysis of PLC Systems. IEEE Trans. Ind. Electron. 60 (11) (2013)
Xibin Zhao, Hehua Zhang, Yu Jiang, Songzheng Song, Xun Jiao, Ming Gu
An Effective Heuristic-Based Approach for Partitioning. J. Appl. Math. 2013 (2013)
Yu Jiang, Hehua Zhang, Xun Jiao, Xiaoyu Song, William N. N. Hung, Ming Gu, Jiaguang Sun
Uncertain Model and Algorithm for Hardware/Software Partitioning. ISVLSI (2012)
Hehua Zhang, Yu Jiang, Xun Jiao, Xiaoyu Song, William N. N. Hung, Ming Gu
Reliability Analysis of PLC Systems by Bayesian Network. SERE (2012)