ProfessorsProfessors of University of California, Santa BarbaraTianqi Tang

Tianqi Tang

University of California, Santa Barbara

H-index: 18

North America-United States

About Tianqi Tang

Tianqi Tang, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of Processing-in-Memory, On-Chip Neural Network System, Emerging Non-Volatile-Memory Technology.

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

Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies

Faith: An Efficient Framework for Transformer Verification on {GPUs}

NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators

Rescuing RRAM-based Computing from Static and Dynamic Faults

A Survey of Accelerator Architectures for Deep Neural Networks

Tianqi Tang Information

University	University of California, Santa Barbara
Position	___
Citations(all)	3145
Citations(since 2020)	2443
Cited By	1765
hIndex(all)	18
hIndex(since 2020)	17
i10Index(all)	21
i10Index(since 2020)	19
Email	Access Email
University Profile Page	University of California, Santa Barbara
Google Scholar	View Google Scholar Profile

Tianqi Tang Skills & Research Interests

Processing-in-Memory

On-Chip Neural Network System

Emerging Non-Volatile-Memory Technology

Top articles of Tianqi Tang

Title	Journal	Author(s)	Publication Date
Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies	arXiv preprint arXiv:2206.07308	Tianqi Tang Yuan Xie	2022/6/15
Faith: An Efficient Framework for Transformer Verification on {GPUs}		Boyuan Feng Tianqi Tang Yuke Wang Zhaodong Chen Zheng Wang ...	2022
NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators		Tianqi Tang Sheng Li Lifeng Nai Norm Jouppi Yuan Xie	2021/2/1
Rescuing RRAM-based Computing from Static and Dynamic Faults	IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	Jilan Lin Cheng-Da Wen Xing Hu Tianqi Tang Chao Lin ...	2020/11/11
A Survey of Accelerator Architectures for Deep Neural Networks		Yiran Chen Yuan Xie Linghao Song Fan Chen Tianqi Tang	2020/3/1