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

• 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.
• 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.
• Ruixuan Wang, Dongning Ma, and Xun Jiao. “EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.” IEEE Embedded Systems Letters (ESL), 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.
• 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.
• Dongning Ma, Xun Jiao, “WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications”, IEEE Embedded Systems Letters (ESL), 2019.

Conference

• 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.
• 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.
• 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.
• 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.
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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)
• 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.
• 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.
• 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.
• 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.
• 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.
• 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)
• 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.
• 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.
• 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)
• 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.
• Dongning Ma, Xun Jiao, Detecting and Bypassing Trivial Computations in Convolutional Neural Networks, IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 2019
• 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.