Tianqi Tang

Orcid: 0000-0001-8255-985X

Affiliations:

Meta, USA
University of California at Santa Barbara, Santa Barbara, CA, USA (former)

According to our database¹, Tianqi Tang authored at least 25 papers between 2014 and 2022.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2022

Hardware Modeling and Efficient Architectural Exploration for Machine Learning Accelerators

[BibT_eX]

[DOI]

Tianqi Tang

PhD thesis, 2022

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

[BibT_eX]

[DOI]

Tianqi Tang

Yuan Xie

CoRR, 2022

Faith: An Efficient Framework for Transformer Verification on GPUs.

[BibT_eX]

[DOI]

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

2021

Rescuing RRAM-Based Computing From Static and Dynamic Faults.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Low Bit-Width Convolutional Neural Network on RRAM.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2018

Towards Real-Time Object Detection on Embedded Systems.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2018

MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Stuck-at Fault Tolerance in RRAM Computing Systems.

[BibT_eX]

[DOI]

Krishnendu Chakrabarty

Yuan Xie

Yu Wang

Huazhong Yang

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Real-time object detection towards high power efficiency.

[BibT_eX]

[DOI]

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Training low bitwidth convolutional neural network on RRAM.

[BibT_eX]

[DOI]

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

Binary convolutional neural network on RRAM.

[BibT_eX]

[DOI]

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

Computation-oriented fault-tolerance schemes for RRAM computing systems.

[BibT_eX]

[DOI]

Krishnendu Chakrabarty

Yuan Xie

Yu Wang

Huazhong Yang

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2016

Low power Convolutional Neural Networks on a chip.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

MNSIM: Simulation platform for memristor-based neuromorphic computing system.

[BibT_eX]

[DOI]

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Switched by input: power efficient structure for RRAM-based convolutional neural network.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Design Automation Conference, 2016

RRAM based learning acceleration.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Compilers, 2016

2015

Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Rebooting Computing and Low-Power Image Recognition Challenge.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Energy Efficient RRAM Spiking Neural Network for Real Time Classification.

[BibT_eX]

[DOI]

Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

Spiking neural network with RRAM: can we use it for real-world application?

[BibT_eX]

[DOI]

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Technological exploration of RRAM crossbar array for matrix-vector multiplication.

[BibT_eX]

[DOI]

Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

2014

Energy efficient spiking neural network design with RRAM devices.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Tianqi Tang

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