Heng-Yuan Lee

According to our database1, Heng-Yuan Lee authored at least 13 papers between 2011 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
15.2 A 28nm 64Kb Inference-Training Two-Way Transpose Multibit 6T SRAM Compute-in-Memory Macro for AI Edge Chips.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

2019
NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Circuit Design Challenges in Computing-in-Memory for AI Edge Devices.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

2018
Highly Reliable Two-Step Charge-Pump Read Scheme for 1.5 F<sup>2</sup>/Bit Nonlinear Sub-Teraohm 0TNR Vertical ReRAM.
IEEE Trans. Circuits Syst. II Express Briefs, 2018

2017
Analyzing inference robustness of RRAM synaptic array in low-precision neural network.
Proceedings of the 47th European Solid-State Device Research Conference, 2017

2015
17.5 A 3T1R nonvolatile TCAM using MLC ReRAM with Sub-1ns search time.
Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

Data retention statistics and modelling in HfO2 resistive switching memories.
Proceedings of the IEEE International Reliability Physics Symposium, 2015

2014
A nonvolatile look-up table using ReRAM for reconfigurable logic.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2014

2013
A High-Speed 7.2-ns Read-Write Random Access 4-Mb Embedded Resistive RAM (ReRAM) Macro Using Process-Variation-Tolerant Current-Mode Read Schemes.
IEEE J. Solid State Circuits, 2013

2012
Metal-Oxide RRAM.
Proc. IEEE, 2012

2011
Fast-Write Resistive RAM (RRAM) for Embedded Applications.
IEEE Des. Test Comput., 2011

Resistance switching for RRAM applications.
Sci. China Inf. Sci., 2011

A 4Mb embedded SLC resistive-RAM macro with 7.2ns read-write random-access time and 160ns MLC-access capability.
Proceedings of the IEEE International Solid-State Circuits Conference, 2011


  Loading...