Tianmu Li

According to our database, Tianmu Li authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learned Approximate Computing: Algorithm Hardware Co-Optimization.

Egor Glukhov, Tianmu Li, Vaibhav Gupta, Puneet Gupta

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2025

2023

REX-SC: Range-Extended Stochastic Computing Accumulation for Neural Network Acceleration.

Tianmu Li, Wojciech Romaszkan, Sudhakar Pamarti, Puneet Gupta

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

DRDebug: Automated Design Rule Debugging.

Irina Alam, Tianmu Li, Sean Brock, Puneet Gupta

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2023

Training Neural Networks for Execution on Approximate Hardware.

Tianmu Li, Shurui Li, Puneet Gupta

CoRR, 2023

2022

SASCHA - Sparsity-Aware Stochastic Computing Hardware Architecture for Neural Network Acceleration.

Wojciech Romaszkan, Tianmu Li, Puneet Gupta

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Detecting deepfake videos based on spatiotemporal attention and convolutional LSTM.

Beijing Chen, Tianmu Li, Weiping Ding

Inf. Sci., 2022

LAC: Learned Approximate Computing.

Vaibhav Gupta, Tianmu Li, Puneet Gupta

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

GEO: Generation and Execution Optimized Stochastic Computing Accelerator for Neural Networks.

Tianmu Li, Wojciech Romaszkan, Sudhakar Pamarti, Puneet Gupta

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

3PXNet: Pruned-Permuted-Packed XNOR Networks for Edge Machine Learning.

Wojciech Romaszkan, Tianmu Li, Puneet Gupta

ACM Trans. Embed. Comput. Syst., 2020

ACOUSTIC: Accelerating Convolutional Neural Networks through Or-Unipolar Skipped Stochastic Computing.

Wojciech Romaszkan, Tianmu Li, Tristan Melton, Sudhakar Pamarti, Puneet Gupta

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2017

SIEM Based on Big Data Analysis.

Tianmu Li, Leiming Yan

Proceedings of the Cloud Computing and Security - Third International Conference, 2017

Hybrid VC-MTJ/CMOS non-volatile stochastic logic for efficient computing.

Shaodi Wang, Saptadeep Pal, Tianmu Li, Andrew Pan, Cecile Grezes, Pedram Khalili Amiri, Kang L. Wang, Puneet Gupta

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017