Chenyang Zhao

Orcid: 0000-0002-5054-8141

According to our database1, Chenyang Zhao authored at least 10 papers between 2021 and 2025.

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

Timeline

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Online presence:

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Bibliography

2025
Light-CIM: A Lightweight ADC/DAC-Fewer RRAM CIM DNN Accelerator With Fully Analog Tiles and Nonideality-Aware Algorithm for Consumer Electronics.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025

2024
A 28-nm 36 Kb SRAM CIM Engine With 0.173 μm<sup>2</sup> 4T1T Cell and Self-Load-0 Weight Update for AI Inference and Training Applications.
IEEE J. Solid State Circuits, October, 2024

A Heuristic and Greedy Weight Remapping Scheme with Hardware Optimization for Irregular Sparse Neural Networks Implemented on CIM Accelerator in Edge AI Applications.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

An Emerging NVM CIM Accelerator With Shared-Path Transpose Read and Bit-Interleaving Weight Storage for Efficient On-Chip Training in Edge Devices.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

ARBiS: A Hardware-Efficient SRAM CIM CNN Accelerator With Cyclic-Shift Weight Duplication and Parasitic-Capacitance Charge Sharing for AI Edge Application.
IEEE Trans. Circuits Syst. I Regul. Pap., January, 2023

A 1T2R1C ReRAM CIM Accelerator With Energy-Efficient Voltage Division and Capacitive Coupling for CNN Acceleration in AI Edge Applications.
IEEE Trans. Circuits Syst. II Express Briefs, 2023

2022
A 28 nm 81 Kb 59-95.3 TOPS/W 4T2R ReRAM Computing-in-Memory Accelerator With Voltage-to-Time-to-Digital Based Output.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

2021
An Energy Efficient Computing-in-Memory Accelerator With 1T2R Cell and Fully Analog Processing for Edge AI Applications.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Intra-array Non-Idealities Modeling and Algorithm Optimization for RRAM-based Computing-in-Memory Applications.
Proceedings of the 14th IEEE International Conference on ASIC, 2021


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