Mingyen Lee

Orcid: 0000-0002-5076-4645

According to our database1, Mingyen Lee authored at least 11 papers between 2020 and 2024.

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

2024
GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility.
IEEE Trans. Emerg. Top. Comput., 2024

2023
SAMBA: Single-ADC Multi-Bit Accumulation Compute-in-Memory Using Nonlinearity- Compensated Fully Parallel Analog Adder Tree.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2023

FAST: A Fully-Concurrent Access SRAM Topology for High Row-Wise Parallelism Applications Based on Dynamic Shift Operations.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

FeFET-Based Logic-in-Memory Supporting SA-Free Write-Back and Fully Dynamic Access With Reduced Bitline Charging Activity and Recycled Bitline Charge.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023

Victor: A Variation-resilient Approach Using Cell-Clustered Charge-domain computing for High-density High-throughput MLC CiM.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface.
CoRR, 2022

GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph.
CoRR, 2022

FAST: A Fully-Concurrent Access Technique to All SRAM Rows for Enhanced Speed and Energy Efficiency in Data-Intensive Applications.
CoRR, 2022

Hidden-ROM: A Compute-in-ROM Architecture to Deploy Large-Scale Neural Networks on Chip with Flexible and Scalable Post-Fabrication Task Transfer Capability.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2020
FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020


  Loading...