Yu Liu

Orcid: 0000-0002-1170-3858

Affiliations:
  • City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong


According to our database1, Yu Liu authored at least 11 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
A Tiny Accelerator for Mixed-Bit Sparse CNN Based on Efficient Fetch Method of SIMO SPad.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

2022
ReAAP: A Reconfigurable and Algorithm-Oriented Array Processor With Compiler-Architecture Co-Design.
IEEE Trans. Computers, 2022

TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2020
Optimize FPGA-Based Neural Network Accelerator with Bit-Shift Quantization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2018
Software Fault Detection and Correction: Modeling and Applications
Springer Briefs in Computer Science, Springer, ISBN: 978-981-13-1161-1, 2018

2017
A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults.
IEEE Trans Autom. Sci. Eng., 2017

2016
A multiphase dynamic Bayesian networks methodology for the determination of safety integrity levels.
Reliab. Eng. Syst. Saf., 2016

Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes.
J. Syst. Softw., 2016

2015
A New Framework and Application of Software Reliability Estimation Based on Fault Detection and Correction Processes.
Proceedings of the 2015 IEEE International Conference on Software Quality, 2015

A reliability analysis framework based on time-varying Dynamic Bayesian Network.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015


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