Zhiheng Yue

Orcid: 0000-0003-4084-3478

According to our database1, Zhiheng Yue authored at least 11 papers between 2021 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
15.1 A 0.795fJ/bit Physically-Unclonable Function-Protected TCAM for a Software-Defined Networking Switch.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

34.1 A 28nm 83.23TFLOPS/W POSIT-Based Compute-in-Memory Macro for High-Accuracy AI Applications.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

20.2 A 28nm 74.34TFLOPS/W BF16 Heterogenous CIM-Based Accelerator Exploiting Denoising-Similarity for Diffusion Models.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023
TT@CIM: A Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity Optimization and Variable Precision Quantization.
IEEE J. Solid State Circuits, March, 2023

STAR: An STGCN ARchitecture for Skeleton-Based Human Action Recognition.
IEEE Trans. Circuits Syst. I Regul. Pap., 2023

A 28nm 77.35TOPS/W Similar Vectors Traceable Transformer Processor with Principal-Component-Prior Speculating and Dynamic Bit-wise Stationary Computing.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

CV-CIM: A 28nm XOR-Derived Similarity-Aware Computation-in-Memory for Cost-Volume Construction.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

A Systolic Computing-in-Memory Array based Accelerator with Predictive Early Activation for Spatiotemporal Convolutions.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
BR-CIM: An Efficient Binary Representation Computation-In-Memory Design.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

MC-CIM: a reconfigurable computation-in-memory for efficient stereo matching cost computation.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
15.4 A 5.99-to-691.1TOPS/W Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity-Based Optimization and Variable-Precision Quantization.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021


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