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Journal

  1. Dongning Ma, Tajana Šimunić Rosing, and Xun Jiao. “Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023. PDF
  2. Mauro Sanchirico III, Xun Jiao, and C. Nataraj. “AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. PDF
  3. Dongning Ma, Meltem Izzetoglu, Roee Holtzer, and Xun Jiao. ``Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS’’, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2023.
  4. Ruixuan Wang, Dongning Ma, Xun Jiao, “EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing”, IEEE Embedded System Letter (ESL), 2022. PDF
  5. 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021. PDF
  6. Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang. “LEVAX: An Input-aware Learning-based Error Model of Voltage-Scaled Functional Units”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020. PDF
  7. Jian Gao, Yiwen Xu, Yu Jiang, Zhe Liu, Wanli Chang, Xun Jiao and Jiaguang Sun. “EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking Instrumentation”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020. (Best Paper Candidate at EMSOFT) PDF
  8. Jing Huang, Renfa Li, Xun Jiao, Yu Jiang and Wanli Chang. “Dynamic DAG Scheduling on Multiprocessor Systems: Reliability, Energy and Makespan”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020.
  9. C. A. K. Kwuimy, Foad Nazari, Xun Jiao, Pejman Rohani & C. Nataraj. “Nonlinear dynamic analysis of an epidemiological model for COVID-19 including public behavior and government action”, Nonlinear Dyn, 2020. PDF
  10. Jeng-Hau Lin, Xun Jiao, Mulong Luo, Zhuowen Tu, Rajesh Gupta. “Vulnerability of Hardware Neural Networks to Dynamic Operation Point Variations”, IEEE Design & Test (IEEE D&T), 2020. PDF
  11. Zhengxiong Luo, Feilong Zuo, Yu Jiang, Jian Gao, Xun Jiao, Jiaguang Sun, “Polar: Function Code Aware Fuzz Testing of ICS Protocol”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019. (Best Paper Candidate at EMSOFT)
  12. Jie Liang, Yu Jiang, Mingzhe Wang, Xun Jiao, Yuanliang Chen, Houbing Song, and Kim-Kwang Raymond Choo. “DeepFuzzer: Accelerated Deep Greybox Fuzzing”, IEEE Transactions on Dependable and Secure Computing (TDSC), 2019. PDF
  13. Jian Gao, Yu Jiang, Zhe Liu, Xin Yang, Cong Wang, Xun Jiao, Zijiang Yang, and Jiaguang Sun. “Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker”, IEEE Transactions on Software Engineering (TSE), 2019. PDF
  14. Dongning Ma, Xun Jiao, “WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications”, IEEE Embedded Systems Letters (ESL), 2019 PDF
  15. Xun Jiao, Abbas Rahimi, Yu Jiang, Jianguo Wang, Hamed Fatemi, Jose Pineda de Gyvez, and Rajesh Gupta “CLIM: A Cross-level Workload-aware Timing Error Prediction Model for Functional Units”, IEEE Transactions on Computers (TC), 2018. PDF
  16. Yu Jiang , Hehua Zhang , Xiaoyu Song, Xun Jiao, William N. N. Hung, and Jiaguang Sun, “Bayesian Network Based Reliability Analysis of PLC Systems”. IEEE Transaction on Industry Electronics (TIE), 2013. PDF

Conference

  1. Ruixuan Wang, Yue Qi, Mojtaba Vaezi, Xun Jiao and Moeness Amin, “Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes island, Greece, 2023 PDF
  2. Sizhe Zhang, Zhao Wang, Xun Jiao, “Adversarial Attack on Hyperdimensional Computing-based NLP Applications”. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 2023. PDF
  3. Dongning Ma, Sizhe Zhang, Xun Jiao, “Robust Hyperdimensional Computing Against Cyber Attacks and Hardware Errors: A Survey”. 28th Asia and South Pacific Design Automation Conference (ASP-DAC), Tokyo, Japan, 2023 PDF
  4. Amrouch, Hussam, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, and Ruixuan Wang, “Beyond von Neumann Era: Brain-inspired Hyperdimensional Computing to the Rescue”. 28th Asia and South Pacific Design Automation Conference (ASP-DAC), Tokyo, Japan, 2023 PDF
  5. Dongning Ma, Pengfei Zhao, Xun Jiao, “PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing”, Workshop on Neural Architecture Search at Conference on Computer Vision and Pattern Recognition (CVPRW-NAS), Vancouver, Canada, 2023
  6. Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao, “On Hyperdimensional Computing-Based Federated Learning: A Case Study”, 2023 International Joint Conference on Neural Networks (IJCNN), Queensland, Australia, 2023.
  7. Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao, “PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks”, International Symposium on Quality Electronic Design (ISQED), 2023.
  8. Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos Cornelia Fermuller, Dehao Yuan, Dongning Ma, Hamza Errahmouni, Paul R. Genssler, Peter Sutor. “Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI”, International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), part of ESWEEK, 2022. PDF
  9. Sizhe Zhang, Mohsen Imani, and Xun Jiao, “ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling”, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), San Diego, CA, 2022. PDF
  10. Dongning Ma, Rahul Thapa, Xun Jiao, “MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing”. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, Nevada, 2022 PDF
  11. Dongning Ma, Xue Qin, Xun Jiao, “AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers”. The 23rd International Symposium on Quality Electronic Design (ISQED), Virtual, California, 2022. PDF
  12. Ruixuan Wang, Xun Jiao, X. Sharon Hu, “ODHD: One-Class Brain-Inspired Hyperdimensional Computing for Outlier Detection”, ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, 2022. PDF
  13. Ruixuan Wang, Xun Jiao, “PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing”, IEEE/ACM Design, Automation & Test in Europe Conference (DATE), 2022. PDF
  14. Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin and Xun Jiao, “Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling”, IEEE/ACM Design, Automation & Test in Europe Conference (DATE), 2022. PDF (Best Paper Award Candidate)
  15. Xiaolong Guo, Song Han, X. Sharon Hu, Xun Jiao, Yier Jin, Fanxin Kong, and Michael Lemmon. “Towards Scalable, Secure, and Smart Mission-Critical IoT Systems: Review and Vision”. International Conference on Embedded Software (EMSOFT), part of ESWEEK, 2021. PDF
  16. Sizhe Zhang, Ruixuan Wang, Jeff (Jun) Zhang, Abbas Rahimi, Xun Jiao, “Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory”. The 32nd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), Virtual, 2021. PDF
  17. Rahul Thapa, Dongning Ma, Xun Jiao, “HDXplore: Automated Differential Testing of Brain-Inspired Hyperdimensional Computing”. 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Tampa, FL, 2021. PDF
  18. Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao, “SpamHD: Efficient Text Spam Detection Using Brain-Inspired Hyperdimensional Computing”. 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Tampa, FL, 2021. PDF
  19. Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao, “HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks”. 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Virtual Conference, 2021. PDF
  20. Meltem Izzetoglu, Xun Jiao, and Seri Park, “Understanding driving behavior using fNIRS and machine learning”. International Conference on Transportation and Development 2021.
  21. Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao, “HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing”. 58th 2021 ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, 2021. PDF
  22. Dongning Ma, Rahul Thapa, Xingjian Wang, Cong Hao and Xun Jiao, “Workload-Aware Approximate Computing Configuration”, IEEE/ACM Design, Automation & Test in Europe Conference (DATE), 2021. Code PDF
  23. Zhengxiong Luo, Feilong Zuo, Yuheng Shen, Xun Jiao, Wanli Chang, Yu Jiang，“ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation”. 57th 2020 ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, 2020. PDF
  24. Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang, “TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations”. 57th 2020 ACM/EDAC/IEEE Design Automation Conference (DAC), San Francisco, CA, 2020. PDF
  25. Xiaotian Dai, Shuai Zhao, Yu Jiang, Xun Jiao, X. Sharon Hu and Wanli Chang. “Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Networks”, International Conference On Computer Aided Design (ICCAD), 2020 PDF
  26. Dongning Ma, Xun Jiao, “A Machine Learning-based Error Model of Voltage-Scaled Circuits”. 50th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Valencia, Spain, 2020. PDF
  27. Dongning Ma, Xunzhao Yin, Michael Niemier, X. Sharon Hu, Xun Jiao, “AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks”. 30th ACM Great Lakes Symposium on VLSI (GLSVLSI), Beijing, China, 2020. PDF
  28. Dongning Ma, Xun Jiao, “AxBy: Approximate Computation Bypass for Data-Intensive Applications”. 2020 Euromicro Conference on Digital System Design (Euromicro DSD), Portorož, Slovenia, 2020. (Outstanding Paper Award) PDF
  29. Dongning Ma, Xun Jiao, “An Input-aware Learning-based Error Model of Voltage-Scaled Functional Units”. The 16th IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE), Standford, CA, 2020. (Best Paper Award)
  30. Dongning Ma, Siyu Shen, Xun Jiao, “Work-in-Progress: DeVos: A Learning-based Delay Model of Voltage-Scaled Circuits”. in Proc. International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), New York, USA, 2019. PDF
  31. Yuanliang Chen, Yu Jiang, Fuchen Ma, Jie Liang, Mingzhe Wang, Chijin Zhou, Xun Jiao, and Zuo Su, “EnFuzz: Ensemble Fuzzing with Seed Synchronization among Diverse Fuzzers”. in Proc. USENIX Security Symposium (USENIX Security), USA, 2019. PDF
  32. 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”, ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2019
  33. 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”, Proc. IEEE International Conference on Cyber-Physical and Social Computing (CPSCom), 2019. (Best Paper Award)
  34. Dongning Ma, Xun Jiao, “Detecting and Bypassing Trivial Computations in Convolutional Neural Networks”, IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2019 PDF
  35. Dongning Ma, Xun Jiao, “Energy Efficient GPU Applications Through Computation Skip”. in Proc. IEEE International Conference on Embedded Software and Systems (ICESS), Las Vegas, USA, 2019. PDF
  36. Xun Jiao, Vahideh Akhlaghi, Yu Jiang, and Rajesh Gupta, “Energy-Efficient Neural Networks using Approximate Computation Reuse”. IEEE/ACM Design, Automation, and Test in Europe (DATE), Dresden, Germany, 2018. PDF
  37. 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”. in Proc. International Conference on Software Engineering (ICSE-Tool), Gothenburg, Sweden, 2018. PDF
  38. Xun Jiao, Mulong Luo, Jeng-Hau Lin, and Rajesh Gupta, “An Assessment of Vulnerability of Hardware Neural Networks to Dynamic Voltage and Temperature Variations”. in Proc. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Irvine, USA, 2017. PDF
  39. Xun Jiao, Vincent Camus, Mattia Cacciotti, Yu Jiang, Christian Enz, and Rajesh Gupta, “Combining Structural and Timing Error in Overclocked Inexact Speculative Adders”. in Proc. IEEE/ACM Design, Automation, and Test in Europe (DATE), Lausanne, Switzerland, 2017. PDF
  40. Xun Jiao, Yu Jiang, Abbas Rahimi, and Rajesh Gupta, “SLoT: A Supervised Learning Model to Predict Dynamic Timing Errors of Functional Units”. in Proc. IEEE/ACM Design, Automation, and Test in Europe (DATE), Lausanne, Switzerland, 2017. PDF
  41. Xun Jiao, Yu Jiang, Abbas Rahimi, and Rajesh Gupta, “WILD: A Workload-Based Learning Model to Predict Dynamic Delay of Functional Units”. in Proc. IEEE International Conference on Computer Design (ICCD), Phoenix, USA, 2016. PDF
  42. Xun Jiao, Abbas Rahimi, Balakrishnan Narayanaswamy, Hamed Fatemi, Jose Pineda de Gyvez, and Rajesh Gupta, “Supervised Learning Based Model for Predicting Variability-Induced Timing Errors”. in Proc. IEEE International NEW Circuits And Systems (NEWCAS) conference, Grenoble, France, 2015. PDF
  43. Yu Jiang, Hehua Zhang, Xun Jiao, Xiaoyu Song, William N.Hung, Ming Gu, and Jiaguang Sun, “Uncertain Model and Algorithm for Hardware/Software Partitioning”. in Proc. IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2012. PDF
  44. Hehua Zhang, Yu Jiang, Xun Jiao, Xiaoyu Song, William N.Hung, and Ming Gu. “Reliability Analysis of PLC Systems by Bayesian Network”. in Proc. International Conference on Software Security and Reliability (SERE), 2012. PDF