John Paul Shen

John Paul Shen

Carnegie Mellon University

H-index: 60

North America-United States

About John Paul Shen

John Paul Shen, With an exceptional h-index of 60 and a recent h-index of 19 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Computer Architecture.

His recent articles reflect a diverse array of research interests and contributions to the field:

TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering

OzMAC: An Energy-Efficient Sparsity-Exploiting Multiply-Accumulate-Unit Design for DL Inference

tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit

tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI

IDIoT: Multimodal framework for ubiquitous identification and assignment of human-carried wearable devices

Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks

Cortical columns computing systems: Microarchitecture model, functional building blocks, and design tools

SemNet: Learning semantic attributes for human activity recognition with deep belief networks

John Paul Shen Information

University

Position

___

Citations(all)

14163

Citations(since 2020)

1595

Cited By

13148

hIndex(all)

60

hIndex(since 2020)

19

i10Index(all)

166

i10Index(since 2020)

47

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

John Paul Shen Skills & Research Interests

Computer Architecture

Top articles of John Paul Shen

Title

Journal

Author(s)

Publication Date

TNNGen: Automated Design of Neuromorphic Sensory Processing Units for Time-Series Clustering

IEEE Transactions on Circuits and Systems II: Express Briefs

Prabhu Vellaisamy

Harideep Nair

Vamsikrishna Ratnakaram

Dhruv Gupta

John Paul Shen

2024/4/16

OzMAC: An Energy-Efficient Sparsity-Exploiting Multiply-Accumulate-Unit Design for DL Inference

arXiv preprint arXiv:2402.19376

Harideep Nair

Prabhu Vellaisamy

Tsung-Han Lin

Perry Wang

Shawn Blanton

...

2024/2/29

tubGEMM: Energy-Efficient and Sparsity-Effective Temporal-Unary-Binary Based Matrix Multiply Unit

Prabhu Vellaisamy

Harideep Nair

Joseph Finn

Manav Trivedi

Albert Chen

...

2023/6/20

tuGEMM: Area-Power-Efficient Temporal Unary GEMM Architecture for Low-Precision Edge AI

Harideep Nair

Prabhu Vellaisamy

Albert Chen

Joseph Finn

Anna Li

...

2023/5/21

IDIoT: Multimodal framework for ubiquitous identification and assignment of human-carried wearable devices

ACM Transactions on Internet of Things

Adeola Bannis

Shijia Pan

Carlos Ruiz

John Shen

Hae Young Noh

...

2023/4/13

Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks

Frontiers in Big Data

Shanmuga Venkatachalam

Harideep Nair

Ming Zeng

Cathy Shunwen Tan

Ole J Mengshoel

...

2023/3/10

Cortical columns computing systems: Microarchitecture model, functional building blocks, and design tools

John Paul Shen

Harideep Nair

2023/3/4

SemNet: Learning semantic attributes for human activity recognition with deep belief networks

Frontiers in big Data

Shanmuga Venkatachalam

Harideep Nair

Ming Zeng

Cathy Shunwen Tan

Ole J Mengshoel

...

2022/8/30

Tnn7: A custom macro suite for implementing highly optimized designs of neuromorphic tnns

Harideep Nair

Prabhu Vellaisamy

Santha Bhasuthkar

John Paul Shen

2022/7/4

Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units

arXiv preprint arXiv:2205.14248

Prabhu Vellaisamy

John Paul Shen

2022/5/27

Advanced Multi-Variate Time Series Analytic Techniques (Attends)

Richard Lau

Anindo Bagchi

John Shen

Tony Triolo

Kenneth Sanchez

...

2022

Real-world data driven characterization of urban human mobility patterns

Abhinav Jauhri

2021

A microarchitecture implementation framework for online learning with temporal neural networks

Harideep Nair

John Paul Shen

James E Smith

2021/7/7

Unsupervised clustering of time series signals using neuromorphic energy-efficient temporal neural networks

Shreyas Chaudhari

Harideep Nair

José MF Moura

John Paul Shen

2021/6/6

Method and system to provide user-level multithreading

2020/4/28

Generating realistic ride-hailing datasets using gans

ACM Transactions on Spatial Algorithms and Systems (TSAS)

Abhinav Jauhri

Brad Stocks

Jian Hui Li

Koichi Yamada

John Paul Shen

2020/4/20

Programmable event driven yield mechanism which may activate other threads

2020/12/29

Real Time Traffic Congestion Prediction and Mitigation at the City Scale

John Shen

Abhinav Jauhri

Brad Stocks

Jian Hui Li

Koichi Yamada

...

2020/3/2

A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors

arXiv preprint arXiv:2012.05419

Harideep Nair

Prabhu Vellaisamy

Santha Bhasuthkar

John Paul Shen

2020/12/10

Sky Segmentation for Enhanced Depth Reconstruction and Bokeh Rendering with Efficient Architectures

Electronic Imaging

Tyler Nuanes

Matt Elsey

Radek Grzeszczuk

John Paul Shen

2020/1/26

See List of Professors in John Paul Shen University(Carnegie Mellon University)

Co-Authors

H-index: 64
Dean Tullsen

Dean Tullsen

University of California, San Diego

H-index: 47
Mikko Lipasti

Mikko Lipasti

University of Wisconsin-Madison

H-index: 46
Murali Annavaram

Murali Annavaram

University of Southern California

H-index: 34
Shih-wei Liao

Shih-wei Liao

National Taiwan University

H-index: 27
Bohuslav Rychlik

Bohuslav Rychlik

Carnegie Mellon University

H-index: 23
Joel Ferguson

Joel Ferguson

University of California, Santa Cruz

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