Dongning Ma

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

Top Topics

Functional Units

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Dongning Ma, Xun Jiao
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. SIGIR (2024)
Dongning Ma, Fan 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. ASPLOS (3) (2024)
Dongning Ma, Cong Hao, Xun Jiao
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. ISQED (2024)
Dongning Ma, Sizhe Zhang, Xun Jiao
Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. ASP-DAC (2023)
Dongning Ma, Pengfei Zhao, Xun Jiao
PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CVPR Workshops (2023)
Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao
On Hyperdimensional Computing-based Federated Learning: A Case Study. IJCNN (2023)
Dongning Ma, Tajana Simunic Rosing, Xun Jiao
Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Dongning Ma, Xun Jiao, Fan Fred Lin, Mengshi Zhang, Alban Desmaison, Thomas Sellinger, Daniel Moore, Sriram Sankar
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors. CoRR (2023)
Ruixuan Wang, Dongning Ma, Xun Jiao
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15 (1) (2023)
Dongning Ma, Xun Jiao
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. CoRR (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 Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Dongning Ma, Xue Qin, Xun Jiao
AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers. ISQED (2022)
Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE (2022)
Ruixuan Wang, Dongning Ma, Xun Jiao
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR (2022)
Hussam Amrouch, Mohsen Imani, Xun Jiao, Yiannis Aloimonos, Cornelia Fermüller, Dehao Yuan, Dongning Ma, Hamza Errahmouni Barkam, Paul R. Genssler, Peter Sutor Jr.
Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. CODES+ISSS (2022)
Dongning Ma, Sizhe Zhang, Xun Jiao
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. CoRR (2022)
Dongning Ma, Rahul Thapa, Xun Jiao
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. BIBM (2022)
Dongning Ma, Pengfei Zhao, Xun Jiao
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CoRR (2022)
Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS. CoRR (2021)
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. DAC (2021)
Dongning Ma, Xun Jiao
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing. CoRR (2021)
Rahul Thapa, Dongning Ma, Xun Jiao
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. CoRR (2021)
Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao
SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing. ISVLSI (2021)
Rahul Thapa, Dongning Ma, Xun Jiao
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. ISVLSI (2021)
Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao
Workload-Aware Approximate Computing Configuration. DATE (2021)
Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. CoRR (2021)
Dongning Ma, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu, Xun Jiao
AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI (2020)
Dongning Ma
MiabNET: Message-in-a-bottle Protocol for MANET. CoRR (2020)
Dongning Ma, Xun Jiao
WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications. IEEE Embed. Syst. Lett. 12 (3) (2020)
Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang
LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Dongning Ma, Xun Jiao
AxBy: Approximate Computation Bypass for Data-Intensive Applications. DSD (2020)
Dongning Ma, Xun Jiao
A Machine Learning-Based Error Model of Voltage-Scaled Circuits. DSN (Supplements) (2020)
Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang
TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. DAC (2020)
Dongning Ma, Siyu Shen, Xun Jiao
DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress. CODES+ISSS (2019)
Dongning Ma, Xun Jiao
Detecting and Bypassing Trivial Computations in Convolutional Neural Networks. NANOARCH (2019)
Dongning Ma, Xun Jiao
Energy Efficient GPU Applications Through Computation Skip. ICESS (2019)