Dongning Ma

Dongning Ma

Postdoctoral Associate

Publications

I have published more than 30 papers in venues including ASPLOS, DAC, SIGIR, and TCAD, with 3 best paper nominations. You can also check my up-to-date CV for other details.

Journal

  1. 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.
  2. 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.
  3. Ruixuan Wang, Dongning Ma, and Xun Jiao. “EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.” IEEE Embedded Systems Letters (ESL), 2022.
  4. 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.
  5. 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.
  6. Dongning Ma, Xun Jiao, “WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications”, IEEE Embedded Systems Letters (ESL), 2019.

Conference

  1. Jinghao Wen, Dongning Ma, Sizhe Zhang, Hasshi Sudler, Xun Jiao, “Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing”, 21st IEEE Biomedical Circuits and Systems Conference (BioCAS), Abu Dhabi, United Arab Emirates, 2025.
  2. Dongning Ma, Xun Jiao, Fred Lin, Daniel Moore and Sriram Sankar，”Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study”, 36th IEEE International Symposium on Software Reliability Engineering (ISSRE), São Paulo, Brazil, 2025.
  3. Dongning Ma, Xun Jiao, “Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding”, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Washington D.C., 2024.
  4. Dongning Ma, 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”, the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), San Diego, California, 2024.
  5. Dongning Ma, Cong Hao, Xun Jiao, “Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process”, The 25th International Symposium on Quality Electronic Design (ISQED), San Francisco, California, 2024
  6. Dongning Ma, Pengfei Zhao, Xun Jiao, “PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing”, the Fourth Workshop on Neural Architecture Search, Third Lightweight NAS Challenge at 2023 Conference on Computer Vision and Pattern Recognition (CVPRW-NAS), Vancouver, Canada, 2023
  7. 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
  8. 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
  9. Dongning Ma, Rahul Thapa, Xun Jiao, “MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing”. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, Nevada, 2022
  10. 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), Shanghai, China, 2022
  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
  12. Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao, “Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling”. 2022 Design, Automation and Test in Europe Conference (DATE), Antwerp, Belgium, 2022 (Best Paper Award Candidate)
  13. 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.
  14. 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.
  15. 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.
  16. Dongning Ma, Rahul Thapa, Xingjian Wang, Cong Hao and Xun Jiao, “Workload-Aware Approximate Computing Configuration”. 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, 2021.
  17. 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.
  18. 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)
  19. 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.
  20. 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.
  21. 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)
  22. 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.
  23. Dongning Ma, Xun Jiao, Detecting and Bypassing Trivial Computations in Convolutional Neural Networks, IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2019
  24. 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.