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Justin Morris
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2020 – today
- 2024
- [j7]Fatemeh Asgarinejad, Xiaofan Yu, Danlin Jiang, Justin Morris, Tajana Rosing, Baris Aksanli:
Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing. Sensors 24(3): 1014 (2024) - [c18]Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli:
PIONEER: Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection. ASPDAC 2024: 896-901 - [c17]Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli:
VisionHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data. ISLPED 2024: 1-6 - 2023
- [j6]Rishikanth Chandrasekaran, Fatemeh Asgareinjad, Justin Morris, Tajana Rosing:
Multi-Label Classification With Hyperdimensional Representations. IEEE Access 11: 108458-108474 (2023) - [j5]Tianqi Zhang, Justin Morris, Kenneth Michael Stewart, Hin Wai Lui, Behnam Khaleghi, Anthony Thomas, Thiago Goncalves-Marback, Baris Aksanli, Emre O. Neftci, Tajana Rosing:
HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3997-4010 (2023) - [c16]Shyam Yathirajam, Arash Peighambari, Ruben Roberts, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia:
Windfarm Forced Oscillation Detection Using Hyperdimensional Computing. IEEE Big Data 2023: 3965-3972 - [c15]Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie:
Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. ICDCS 2023: 511-522 - [c14]Tinaqi Zhang, Sahand Salamat, Behnam Khaleghi, Justin Morris, Baris Aksanli, Tajana Simunic Rosing:
HD2FPGA: Automated Framework for Accelerating Hyperdimensional Computing on FPGAs. ISQED 2023: 1-9 - 2022
- [j4]Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 897-907 (2022) - [j3]Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing:
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. ACM Trans. Embed. Comput. Syst. 21(3): 22:1-22:25 (2022) - [j2]Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Simunic:
HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System. ACM Trans. Embed. Comput. Syst. 21(6): 78:1-78:25 (2022) - [c13]Behnam Khaleghi, Jaeyoung Kang, Hanyang Xu, Justin Morris, Tajana Rosing:
GENERIC: highly efficient learning engine on edge using hyperdimensional computing. DAC 2022: 1117-1122 - [c12]Justin Morris, Hin Wai Lui, Kenneth Michael Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, Tajana Rosing:
HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks. DATE 2022: 664-669 - 2021
- [c11]Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing:
HyperRec: Efficient Recommender Systems with Hyperdimensional Computing. ASP-DAC 2021: 384-389 - [c10]Behnam Khaleghi, Hanyang Xu, Justin Morris, Tajana Simunic Rosing:
tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications. DATE 2021: 408-413 - [c9]Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Rosing:
HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing. DATE 2021: 723-728 - [c8]Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing:
AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. ICCD 2021: 93-100 - [c7]Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing:
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. ICCD 2021: 321-325 - [c6]Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, Baris Aksanli:
MACcelerator: Approximate Arithmetic Unit for Computational Acceleration. ISQED 2021: 444-449 - 2020
- [j1]Mohsen Imani, Justin Morris, Helen Shu, Shou Li, Tajana Rosing:
Efficient Associative Search in Brain-Inspired Hyperdimensional Computing. IEEE Des. Test 37(1): 28-35 (2020) - [c5]Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing:
THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy. ICCAD 2020: 27:1-27:9 - [c4]Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Multi-label HD Classification in 3D Flash. VLSI-SOC 2020: 10-15
2010 – 2019
- 2019
- [c3]Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, Tajana Rosing:
AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing. BioCAS 2019: 1-4 - [c2]Mohsen Imani, Justin Morris, John Messerly, Helen Shu, Yaobang Deng, Tajana Rosing:
BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing. DAC 2019: 52 - [c1]Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, Tajana Rosing:
CompHD: Efficient Hyperdimensional Computing Using Model Compression. ISLPED 2019: 1-6
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last updated on 2024-11-11 21:31 CET by the dblp team
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