| 2026 | ACNS | Understanding the Robustness of BERT Models Against Hardware Errors: An Experimental Study. | Ruixuan Wang, Dongning Ma, Xun Jiao |
| 2026 | ISCAS | MILEAM: Modeling Input-Aware Logic Errors of Approximate Multipliers using Machine Learning. | Jinghao Wen, Dongning Ma, Xun Jiao |
| 2026 | WSDM | Stealing Black-box Hyperdimensional Computing Models Without Data. | Dongning Ma, Ruixuan Wang, Xun Jiao |
| 2025 | ISSRE | Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study. | Dongning Ma, Xun Jiao, Fan Fred Lin, Daniel Moore, Sriram Sankar |
| 2024 | ASPLOS | Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. | Dongning Ma, Fan Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore, Sriram Sankar, Xun Jiao |
| 2024 | SIGIR | Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. | Dongning Ma, Xun Jiao |
| 2023 | ASPDAC | Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. | Dongning Ma, Sizhe Zhang, Xun Jiao |
| 2023 | CVPR | PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. | Dongning Ma, Pengfei Zhao, Xun Jiao |
| 2023 | IJCNN | On Hyperdimensional Computing-based Federated Learning: A Case Study. | Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao |
| 2022 | DATE | Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. | Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao |
| 2021 | DAC | HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. | Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao |
| 2021 | DATE | Workload-Aware Approximate Computing Configuration. | Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao |
| 2020 | DAC | TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. | Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang |
| 2020 | DSD | AxBy: Approximate Computation Bypass for Data-Intensive Applications. | Dongning Ma, Xun Jiao |
| 2020 | DSN | A Machine Learning-Based Error Model of Voltage-Scaled Circuits. | Dongning Ma, Xun Jiao |