Portrait of Dongning Ma

Dongning Ma

Architecting efficient and reliable AI systems

Postdoctoral Associate, Mohamed bin Zayed University of Artificial Intelligence

Abu Dhabi, United Arab Emirates

I am a postdoctoral research associate at Mohamed bin Zayed University of Artificial Intelligence, working with Prof. Abdulrahman Mahmoud. I obtained my Ph.D. degree from Villanova University in 2025 under the supervision of Prof. Xun Jiao, and my B.Eng. degree from University of Science and Technology Beijing in 2018 under the supervision of Dr. Jiyuan Dong.

I have published more than 30 papers in venues including ASPLOS, DAC, SIGIR, and TCAD, with best paper awards and nominations from DATE, ISSRE, Euromicro DSD, and SELSE.

My research focuses on:

News

Earlier news (6)
  • Our ISSRE'25 paper wins the Best Research Paper Award! Paper
  • Our poster and demo presentation about "Spike Sorting Interface" accepted to NER'25! Paper
  • Our paper about "Hyperdimensional Computing Based Blockchain" accepted to BioCAS'25! Paper
  • Our paper about "Silent Data Corruptions in Deep Recommender Systems" accepted to ISSRE'25! Paper
  • I joined Mohamed bin Zayed University of Artificial Intelligence as a postdoctoral research associate, working with Prof. Abdulrahman Mahmoud!
  • I successfully defended my Ph.D. thesis!

Selected publications

  1. WSDM'26

    Stealing Black-box Hyperdimensional Computing Models Without Data

    Dongning Ma, Ruixuan Wang, and Xun Jiao

    19th ACM International Conference on Web Search and Data Mining, Boise, Idaho, USA, 2026

  2. ISSRE'25

    Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study

    Dongning Ma, Xun Jiao, Fred Lin, Daniel Moore, and Sriram Sankar

    36th IEEE International Symposium on Software Reliability Engineering, São Paulo, Brazil, 2025

    Best Research Paper Award
  3. SIGIR'24

    Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding

    Dongning Ma and Xun Jiao

    47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington D.C., USA, 2024

  4. ASPLOS'24

    Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations

    Dongning Ma, Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, and Xun Jiao

    ACM International Conference on Architectural Support for Programming Languages and Operating Systems, San Diego, California, USA, 2024

  5. TCAD'23

    Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing

    Dongning Ma, Tajana Šimunić Rosing, and Xun Jiao

    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023

  6. DAC'21

    HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing

    Dongning Ma, Jianmin Guo, Yu Jiang, and Xun Jiao

    58th ACM/EDAC/IEEE Design Automation Conference, San Francisco, California, USA, 2021