Youming Yang

Orcid: 0009-0009-0593-4842

Affiliations:
  • Peking University, Beijing, China


According to our database1, Youming Yang authored at least 11 papers between 2023 and 2025.

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

Timeline

Legend:

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Bibliography

2025
UniPRE: An SNN-ANN Accelerator With Unified Max-Pooling Prediction and Redundancy Elimination.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2025

A Variation-Tolerant Continuous-Time Ising Machine With eDRAM-Based Spin Interaction and Leaked Negative Feedback Annealing.
IEEE J. Solid State Circuits, May, 2025

PAICORE: A 1.9-Million-Neuron 5.181-TSOPS/W Digital Neuromorphic Processor With Unified SNN-ANN and On-Chip Learning Paradigm.
IEEE J. Solid State Circuits, February, 2025

CROSSCUT: A Multi-Core Neuromorphic Accelerator Improving Resource-Utilization.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024
Marmotini: A Weight Density Adaptation Architecture With Hybrid Compression Method for Spiking Neural Network.
IEEE Trans. Very Large Scale Integr. Syst., December, 2024

NeuroREC: A 28-nm Efficient Neuromorphic Processor for Radar Emitter Classification.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2024

An eDRAM-Based Computing-in-Memory Macro With Full-Valid-Storage and Channel-Wise-Parallelism for Depthwise Neural Network.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2024

30.5 A Variation-Tolerant In-eDRAM Continuous-Time Ising Machine Featuring 15-Level Coefficients and Leaked Negative-Feedback Annealing.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

A Hybrid Heterogeneous Neural Network Accelerator based on Systolic Array.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
An Efficient Spiking Neural Network Accelerator with Sparse Weight.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023


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