DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress. - Dongning Ma; Siyu Shen; Xun Jiao (CODES+ISSS, 2019)

Energy Efficient GPU Applications Through Computation Skip. - Dongning Ma; Xun Jiao (ICESS, 2019)

Detecting and Bypassing Trivial Computations in Convolutional Neural Networks. - Dongning Ma; Xun Jiao (NANOARCH, 2019)

TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. - Xun Jiao; Dongning Ma; Wanli Chang 001; Yu Jiang 001 (DAC, 2020)

AxBy: Approximate Computation Bypass for Data-Intensive Applications. - Dongning Ma; Xun Jiao (DSD, 2020)

A Machine Learning-Based Error Model of Voltage-Scaled Circuits. - Dongning Ma; Xun Jiao (DSN (Supplements), 2020)

AxR-NN: Approximate Computation Reuse for Energy-Efficient Convolutional Neural Networks. - Dongning Ma; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu; Xun Jiao (ACM Great Lakes Symposium on VLSI, 2020)

MiabNET: Message-in-a-bottle Protocol for MANET. - Dongning Ma (CoRR, 2020)

WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications. - Dongning Ma; Xun Jiao (IEEE Embed. Syst. Lett., 2020)

LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units. - Xun Jiao; Dongning Ma; Wanli Chang 001; Yu Jiang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. - Dongning Ma; Jianmin Guo; Yu Jiang 001; Xun Jiao (DAC, 2021)

Workload-Aware Approximate Computing Configuration. - Dongning Ma; Rahul Thapa; Xingjian Wang; Xun Jiao; Cong Hao (DATE, 2021)

SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing. - Rahul Thapa; Bikal Lamichhane; Dongning Ma; Xun Jiao (ISVLSI, 2021)

HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. - Rahul Thapa; Dongning Ma; Xun Jiao (ISVLSI, 2021)

Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS. - Dongning Ma; Meltem Izzetoglu; Roee Holtzer; Xun Jiao (CoRR, 2021)

MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing. - Dongning Ma; Xun Jiao (CoRR, 2021)

MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. - Dongning Ma; Rahul Thapa; Xun Jiao (BIBM, 2022)

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. - Hussam Amrouch; Mohsen Imani; Xun Jiao; Yiannis Aloimonos; Cornelia Fermüller; Dehao Yuan; Dongning Ma; Hamza Errahmouni Barkam; Paul R. Genssler; Peter Sutor Jr. (CODES+ISSS, 2022)

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. - Sizhe Zhang; Ruixuan Wang; Dongning Ma; Jeff Jun Zhang; Xunzhao Yin; Xun Jiao (DATE, 2022)

AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers. - Dongning Ma; Xue Qin; Xun Jiao (ISQED, 2022)

HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. - Dongning Ma; Sizhe Zhang; Xun Jiao (CoRR, 2022)

Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. - Dongning Ma; Xun Jiao (CoRR, 2022)

NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. - Dongning Ma; Pengfei Zhao; Xun Jiao (CoRR, 2022)

DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations. - Dongning Ma; Xinqiao Zhang; Ke Huang 001; Yu Jiang 001; Wanli Chang 001; Xun Jiao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. - Dongning Ma; Sizhe Zhang; Xun Jiao (ASP-DAC, 2023)

PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. - Dongning Ma; Pengfei Zhao; Xun Jiao (CVPR Workshops, 2023)

On Hyperdimensional Computing-based Federated Learning: A Case Study. - Sizhe Zhang; Dongning Ma; Song Bian 001; Lei Yang; Xun Jiao (IJCNN, 2023)

Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors. - Dongning Ma; Xun Jiao; Fan Fred Lin; Mengshi Zhang; Alban Desmaison; Thomas Sellinger; Daniel Moore; Sriram Sankar (CoRR, 2023)

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. - Ruixuan Wang; Dongning Ma; Xun Jiao (IEEE Embed. Syst. Lett., 2023)

Testing and Enhancing Adversarial Robustness of Hyperdimensional Computing. - Dongning Ma; Tajana Simunic Rosing; Xun Jiao (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

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 (ASPLOS (3), 2024)

Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. - Dongning Ma; Cong Hao; Xun Jiao (ISQED, 2024)

Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. - Dongning Ma; Xun Jiao (SIGIR, 2024)