Yu Bai

Yu Bai

California State University, Fullerton

H-index: 12

North America-United States

About Yu Bai

Yu Bai, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at California State University, Fullerton, specializes in the field of High performance computing Stochastic computing Emerging device.

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

Modeling agent decision and behavior in the light of data science and artificial intelligence

Locality-sensing Fast Neural Network (LFNN): An Efficient Neural Network Acceleration Framework via Locality Sensing for Real-time Videos Queries

Binarized -Regularization Parameters Enhanced Strip-Wise Optimization Algorithm for Efficient Neural Network Optimization

FPGA-Accelerated Password Cracking

Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train

Rehosting YOLOv2 Framework for Reconfigurable Fabric-based Acceleration

Spin-Orbit torque neuromorphic fabrics for low-leakage reconfigurable in-memory computation

Autonomous Binarized Focal Loss Enhanced Model Compression Design Using Tensor Train Decomposition

Yu Bai Information

University

Position

___

Citations(all)

940

Citations(since 2020)

744

Cited By

471

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

14

Email

University Profile Page

California State University, Fullerton

Google Scholar

View Google Scholar Profile

Yu Bai Skills & Research Interests

High performance computing Stochastic computing Emerging device

Top articles of Yu Bai

Title

Journal

Author(s)

Publication Date

Modeling agent decision and behavior in the light of data science and artificial intelligence

Li An

Volker Grimm

Yu Bai

Abigail Sullivan

BL Turner II

...

2023/5/16

Locality-sensing Fast Neural Network (LFNN): An Efficient Neural Network Acceleration Framework via Locality Sensing for Real-time Videos Queries

Xiaotian Ma

Jiaqi Tang

Yu Bai

2023/4/5

Binarized -Regularization Parameters Enhanced Strip-Wise Optimization Algorithm for Efficient Neural Network Optimization

IEEE Journal of Emerging and Selected Topics in Industrial Electronics

Xiaotian Ma

Shiyi Luo

Ronald F DeMara

Pu Sun

Qidi Peng

...

2023/9/7

FPGA-Accelerated Password Cracking

Eric Britten

Mikhail Gofman

Yu Bai

2023/7/24

Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train

Internet of Things

Mingshuo Liu

Miao Yin

Kevin Han

Ronald F DeMara

Bo Yuan

...

2023/7/1

Rehosting YOLOv2 Framework for Reconfigurable Fabric-based Acceleration

D Crumley

M Hossain

K Martin

F Ivey

Richard Yarnell

...

2022/3/26

Spin-Orbit torque neuromorphic fabrics for low-leakage reconfigurable in-memory computation

IEEE Transactions on Electron Devices

Mingshuo Liu

Payal Borulkar

Mousam Hossain

Ronald F Demara

Yu Bai

2022/1/19

Autonomous Binarized Focal Loss Enhanced Model Compression Design Using Tensor Train Decomposition

Micromachines

Mingshuo Liu

Shiyi Luo

Kevin Han

Ronald F DeMara

Yu Bai

2022/10/14

Hardware oriented strip-wise optimization (hoso) framework for efficient deep neural network

Xiaotian Ma

Kevin Han

Yucheng Yang

Ronald F DeMara

Yu Bai

2022/9/5

Advancing Student Success Through Integrated Sociocultural and Academic Intervention Strategies

Proceedings of the 2022 ASEE Annual Conference & Exposition

Sudarshan Kurwadkar

Salvador Mayoral

2022/6

An efficient video prediction recurrent network using focal loss and decomposed tensor train for imbalance dataset

Mingshuo Liu

Kevin Han

Shiyi Luo

Mingze Pan

Mousam Hossain

...

2021/6/22

Multi-object tracking by mutual supervision of CNN and particle filter

Personal and Ubiquitous Computing

Yu Xia

Shiru Qu

Sotirios Goudos

Yu Bai

Shaohua Wan

2021/12/1

An efficient real-time object detection framework on resource-constricted hardware devices via software and hardware co-design

Mingshuo Liu

Shiyi Luo

Kevin Han

Bo Yuan

Ronald F DeMara

...

2021/7/7

Lessons Learned From the First-Year Enrichment Program for Engineering and Computer Science Students in the ASSURE-US Program

2021 ASEE Virtual Annual Conference

Doina Bein

2021/7

Initiating research skills in undergraduate students through data science projects

Anoosha Ahmed

Lorena Macias

Matthew McCune

Maria Medina

Graciela Orozco

...

2020

Multilevel data concealing technique using steganography and visual cryptography

Chaitra Rangaswamaiah

Yu Bai

Yoonsuk Choi

2020

Improving STEM Education for Lower-division College Students at HSI by Utilizing Relevant Sociocultural and Academic Experiences: First-year Results from ASSURE-US Project

2020 ASEE Virtual Annual Conference Content Access

Jidong Huang

Sudarshan Kurwadkar

Doina Bein

Yu Bai

Salvador Mayoral

2020/6

Anoosha Ahmed, Lorena Macias, Matthew McCune, Maria Medina, Graciela Orozco, Doina Bein, Sudarshan Kurwadkar, Jidong Huang

17th International Conference on Information Technology–New Generations (ITNG 2020)

Ovidiu Daescu

Dianna Xu

Yu Bai

2020/5/11

Supervised sentiment analysis of twitter handle of president trump with data visualization technique

Kalyan Sahu

Yu Bai

Yoonsuk Choi

2020/1/6

Using Projects on Clustering and Linear Regression to Develop Basic Research Skills in Freshmen and Sophomore Undergraduate Students

Janelle Estabillo

Derrick Lee

Christopher Ly

Graciela Orozco

Doina Bein

...

2020

See List of Professors in Yu Bai University(California State University, Fullerton)