Huiyu Mo

Orcid: 0000-0002-3373-7178

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Huiyu Mo authored at least 11 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2022
BitCluster: Fine-Grained Weight Quantization for Load-Balanced Bit-Serial Neural Network Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A 12.1 TOPS/W Quantized Network Acceleration Processor With Effective-Weight-Based Convolution and Error-Compensation-Based Prediction.
IEEE J. Solid State Circuits, 2022

2021
A 460 GOPS/W Improved Mnemonic Descent Method-Based Hardwired Accelerator for Face Alignment.
IEEE Trans. Multim., 2021

9.2A 28nm 12.1TOPS/W Dual-Mode CNN Processor Using Effective-Weight-Based Convolution and Error-Compensation-Based Prediction.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020
A Multi-Task Hardwired Accelerator for Face Detection and Alignment.
IEEE Trans. Circuits Syst. Video Technol., 2020

TFE: Energy-efficient Transferred Filter-based Engine to Compress and Accelerate Convolutional Neural Networks.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2019
Face Alignment With Expression- and Pose-Based Adaptive Initialization.
IEEE Trans. Multim., 2019

A Face Alignment Accelerator Based on Optimized Coarse-to-Fine Shape Searching.
IEEE Trans. Circuits Syst. Video Technol., 2019

A 1.17 TOPS/W, 150fps Accelerator for Multi-Face Detection and Alignment.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

L-MPC: A LUT based Multi-Level Prediction-Correction Architecture for Accelerating Binary-Weight Hourglass Network.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2017
A 700fps Optimized Coarse-to-Fine Shape Searching Based Hardware Accelerator for Face Alignment.
Proceedings of the 54th Annual Design Automation Conference, 2017


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