Justin Morris

According to our database, Justin Morris authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing.

Fatemeh Asgarinejad, Xiaofan Yu, Danlin Jiang, Justin Morris, Tajana Rosing, Baris Aksanli

Sensors, February, 2024

VisionHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data.

Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

PIONEER: Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection.

Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

HyperSpikeASIC: Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks.

Tianqi Zhang, Justin Morris, Kenneth Michael Stewart, Hin Wai Lui, Behnam Khaleghi, Anthony Thomas, Thiago Goncalves-Marback, Baris Aksanli, Emre O. Neftci, Tajana Rosing

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Multi-Label Classification With Hyperdimensional Representations.

Rishikanth Chandrasekaran, Fatemeh Asgareinjad, Justin Morris, Tajana Rosing

IEEE Access, 2023

HD2FPGA: Automated Framework for Accelerating Hyperdimensional Computing on FPGAs.

Tinaqi Zhang, Sahand Salamat, Behnam Khaleghi, Justin Morris, Baris Aksanli, Tajana Simunic Rosing

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems.

Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Windfarm Forced Oscillation Detection Using Hyperdimensional Computing.

Shyam Yathirajam, Arash Peighambari, Ruben Roberts, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia

Proceedings of the IEEE International Conference on Big Data, 2023

2022

HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System.

Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Simunic

ACM Trans. Embed. Comput. Syst., November, 2022

Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy.

Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing

ACM Trans. Embed. Comput. Syst., 2022

Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing.

Justin Morris, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks.

Justin Morris, Hin Wai Lui, Kenneth Michael Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, Tajana Rosing

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

GENERIC: highly efficient learning engine on edge using hyperdimensional computing.

Behnam Khaleghi, Jaeyoung Kang, Hanyang Xu, Justin Morris, Tajana Rosing

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

MACcelerator: Approximate Arithmetic Unit for Computational Acceleration.

Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, Baris Aksanli

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing.

Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing.

Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

HyDREA: Towards More Robust and Efficient Machine Learning Systems with Hyperdimensional Computing.

Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Rosing

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications.

Behnam Khaleghi, Hanyang Xu, Justin Morris, Tajana Simunic Rosing

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

HyperRec: Efficient Recommender Systems with Hyperdimensional Computing.

Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, Tajana Rosing

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Efficient Associative Search in Brain-Inspired Hyperdimensional Computing.

Mohsen Imani, Justin Morris, Helen Shu, Shou Li, Tajana Rosing

IEEE Des. Test, 2020

Multi-label HD Classification in 3D Flash.

Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing

Proceedings of the 28th IFIP/IEEE International Conference on Very Large Scale Integration, 2020

THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy.

Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, Tajana Simunic Rosing

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

CompHD: Efficient Hyperdimensional Computing Using Model Compression.

Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, Tajana Rosing

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

BRIC: Locality-based Encoding for Energy-Efficient Brain-Inspired Hyperdimensional Computing.

Mohsen Imani, Justin Morris, John Messerly, Helen Shu, Yaobang Deng, Tajana Rosing

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing.

Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, Tajana Rosing

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019