Justin Morris

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Backtrack Search

Machine Learning

Associative Search

Spiking Neural Networks

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

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) (2024)
Fatemeh Asgarinejad, Justin Morris, Tajana Rosing, Baris Aksanli
PIONEER: Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection. ASPDAC (2024)
Tinaqi Zhang, Sahand Salamat, Behnam Khaleghi, Justin Morris, Baris Aksanli, Tajana Simunic Rosing
HD2FPGA: Automated Framework for Accelerating Hyperdimensional Computing on FPGAs. ISQED (2023)
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) (2023)
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)
Shyam Yathirajam, Arash Peighambari, Ruben Roberts, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia
Windfarm Forced Oscillation Detection Using Hyperdimensional Computing. BigData (2023)
Rishikanth Chandrasekaran, Fatemeh Asgareinjad, Justin Morris, Tajana Rosing
Multi-Label Classification With Hyperdimensional Representations. IEEE Access 11 (2023)
Justin Morris, Hin Wai Lui, Kenneth 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)
Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohen 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) (2022)
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) (2022)
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) (2022)
Behnam Khaleghi, Jaeyoung Kang, Hanyang Xu, Justin Morris, Tajana Rosing
GENERIC: highly efficient learning engine on edge using hyperdimensional computing. DAC (2022)
Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, Tajana Rosing
AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing. ICCD (2021)
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)
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)
Behnam Khaleghi, Hanyang Xu, Justin Morris, Tajana Simunic Rosing
tiny-HD: Ultra-Efficient Hyperdimensional Computing Engine for IoT Applications. DATE (2021)
Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. ICCD (2021)
Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, Baris Aksanli
MACcelerator: Approximate Arithmetic Unit for Computational Acceleration. ISQED (2021)
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)
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)
Mohsen Imani, Justin Morris, Helen Shu, Shou Li, Tajana Rosing
Efficient Associative Search in Brain-Inspired Hyperdimensional Computing. IEEE Des. Test 37 (1) (2020)
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)
Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, Tajana Rosing
AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing. BioCAS (2019)
Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, Tajana Rosing
CompHD: Efficient Hyperdimensional Computing Using Model Compression. ISLPED (2019)