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2020 – today
- 2024
[c21]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: 239-252- [c20]Dongning Ma, Cong Hao, Xun Jiao:
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. ISQED 2024: 1-5 - [c19]Dongning Ma, Xun Jiao:
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding. SIGIR 2024: 2507-2511 - 2023
- [j5]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15(1): 37-40 (2023) - [j4]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): 4052-4064 (2023) - [c18]Dongning Ma, Sizhe Zhang, Xun Jiao:
Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. ASP-DAC 2023: 598-605 - [c17]Dongning Ma, Pengfei Zhao, Xun Jiao:
PerfHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CVPR Workshops 2023: 2230-2237 - [c16]Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao:
On Hyperdimensional Computing-based Federated Learning: A Case Study. IJCNN 2023: 1-8 - [i10]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 abs/2307.10244 (2023) - 2022
- [j3]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): 827-839 (2022) - [c15]Dongning Ma, Rahul Thapa, Xun Jiao:
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. BIBM 2022: 390-393 - [c14]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: 25-34 - [c13]Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao:
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE 2022: 52-55 - [c12]Dongning Ma, Xue Qin, Xun Jiao:
AxBy-ViT: Reconfigurable Approximate Computation Bypass for Vision Transformers. ISQED 2022: 1-5 - [i9]Dongning Ma, Sizhe Zhang, Xun Jiao:
HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. CoRR abs/2202.02964 (2022) - [i8]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR abs/2203.13542 (2022) - [i7]Dongning Ma, Xun Jiao:
Hyperdimensional Computing vs. Neural Networks: Comparing Architecture and Learning Process. CoRR abs/2207.12932 (2022) - [i6]Dongning Ma, Pengfei Zhao, Xun Jiao:
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing. CoRR abs/2209.11356 (2022) - 2021
- [c11]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. DAC 2021: 391-396 - [c10]Dongning Ma, Rahul Thapa, Xingjian Wang, Xun Jiao, Cong Hao:
Workload-Aware Approximate Computing Configuration. DATE 2021: 920-925 - [c9]Rahul Thapa, Bikal Lamichhane, Dongning Ma, Xun Jiao:
SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing. ISVLSI 2021: 84-89 - [c8]Rahul Thapa, Dongning Ma, Xun Jiao:
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. ISVLSI 2021: 90-95 - [i5]Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao:
Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS. CoRR abs/2102.03987 (2021) - [i4]Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao:
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. CoRR abs/2103.08668 (2021) - [i3]Rahul Thapa, Dongning Ma, Xun Jiao:
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. CoRR abs/2105.12770 (2021) - [i2]Dongning Ma, Xun Jiao:
MoleHD: Automated Drug Discovery using Brain-Inspired Hyperdimensional Computing. CoRR abs/2106.02894 (2021) - 2020
- [j2]Dongning Ma, Xun Jiao:
WoMA: An Input-Based Learning Model to Predict Dynamic Workload of Embedded Applications. IEEE Embed. Syst. Lett. 12(3): 74-77 (2020) - [j1]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): 5032-5041 (2020) - [c7]Xun Jiao, Dongning Ma, Wanli Chang, Yu Jiang:
TEVoT: Timing Error Modeling of Functional Units under Dynamic Voltage and Temperature Variations. DAC 2020: 1-6 - [c6]Dongning Ma, Xun Jiao:
AxBy: Approximate Computation Bypass for Data-Intensive Applications. DSD 2020: 332-339 - [c5]Dongning Ma, Xun Jiao:
A Machine Learning-Based Error Model of Voltage-Scaled Circuits. DSN (Supplements) 2020: 89-91 - [c4]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: 363-368 - [i1]Dongning Ma:
MiabNET: Message-in-a-bottle Protocol for MANET. CoRR abs/2008.00083 (2020)
2010 – 2019
- 2019
- [c3]Dongning Ma, Siyu Shen, Xun Jiao:
DeVos: A learning-based delay model of voltage-scaled circuits: work-in-progress. CODES+ISSS 2019: 7:1-7:2 - [c2]Dongning Ma, Xun Jiao:
Energy Efficient GPU Applications Through Computation Skip. ICESS 2019: 1-2 - [c1]Dongning Ma, Xun Jiao:
Detecting and Bypassing Trivial Computations in Convolutional Neural Networks. NANOARCH 2019: 1-6
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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