Zhiheng Yue

Orcid: 0000-0003-4084-3478

According to our database1, Zhiheng Yue authored at least 35 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An Energy-Efficient Transformer Fine-Tuning Processor for Personalized Edge Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2026

Designing Spatial Architectures for Sparse Attention: STAR Accelerator via Cross-Stage Tiling.
IEEE Trans. Computers, March, 2026

A 28nm 47.3TFLOPs/W 894mJ/Inference Visual Autoregressive Accelerator with Differential-Amplifier Speculation and Chain-Reaction-Like Parallel Generation.
Proceedings of the IEEE International Solid-State Circuits Conference, 2026

2.9 A 0.24mJ/Frame Quadratic Interpolation 4DGS Processor with Recursive Computation Reuse and Tree-Based Parallel-Rendering.
Proceedings of the IEEE International Solid-State Circuits Conference, 2026

A 28nm Speculative-Decoding LLM Processor Achieving 105-to-685µs/Token Latency for Billion-Parameter Models.
Proceedings of the IEEE International Solid-State Circuits Conference, 2026

PADE: A Predictor-Free Sparse Attention Accelerator via Unified Execution and Stage Fusion.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

ReThermal: Co-Design of Thermal-Aware Static and Dynamic Scheduling for LLM Training on Liquid-Cooled Wafer-Scale Chips.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

HR-DCIM: High-Reliability Floating-Point Digital CIM Architecture With Unified Low-Cost Iterative Error Correction.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025
BETA: A Bit-Grained Transformer Attention Accelerator With Efficient Early Termination.
IEEE Trans. Circuits Syst. II Express Briefs, October, 2025

An Energy-Efficient POSIT Compute-in-Memory Macro for High-Accuracy AI Applications.
IEEE J. Solid State Circuits, August, 2025

Dyn-Bitpool: A 28 nm 27 TOPS/W Two-Sided Sparse CIM Accelerator Featuring a Balanced Workload Scheme and High CIM Macro Utilization.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2025

CV-CIM: A Hybrid Domain Xor-Derived Similarity-Aware Computation-in-Memory Supporting Cost-Volume Construction.
IEEE J. Solid State Circuits, February, 2025

A 28-nm 28.8-TOPS/W Attention-Based NN Processor With Correlative CIM Ring Architecture and Dataflow-Reshaped Digital-Assisted CIM Array.
IEEE J. Solid State Circuits, January, 2025

3D-PATH: A Hierarchy LUT Processing-in-memory Accelerator with Thermal-aware Hybrid Bonding Integration.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

MCBP: A Memory-Compute Efficient LLM Inference Accelerator Leveraging Bit-Slice-enabled Sparsity and Repetitiveness.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

14.4 A 51.6TFLOPs/W Full-Datapath CIM Macro Approaching Sparsity Bound and <<sup>-30</sup> Loss for Compound AI.
Proceedings of the IEEE International Solid-State Circuits Conference, 2025

2024
Efficient Orchestrated AI Workflows Execution on Scale-Out Spatial Architecture.
IEEE Trans. Circuits Syst. Artif. Intell., December, 2024

SOFA: A Compute-Memory Optimized Sparsity Accelerator via Cross-Stage Coordinated Tiling.
CoRR, 2024

A 22nm 54.94TFLOPS/W Transformer Fine-Tuning Processor with Exponent-Stationary Re-Computing, Aggressive Linear Fitting, and Logarithmic Domain Multiplicating.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

SOFA: A Compute-Memory Optimized Sparsity Accelerator via Cross-Stage Coordinated Tiling.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 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

Exploiting Similarity Opportunities of Emerging Vision AI Models on Hybrid Bonding Architecture.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

CAP: A General Purpose Computation-in-memory with Content Addressable Processing Paradigm.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Dyn-Bitpool: A Two-sided Sparse CIM Accelerator Featuring a Balanced Workload Scheme and High CIM Macro Utilization.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A 28nm 118.26TOPS/W Multi-Dimensional Fault-Tolerant Al Processor Enabling Voltage-Frequency Scaling Below Point-of-First-Failure.
Proceedings of the IEEE Asian 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


  Loading...