Zilin Wang
Orcid: 0009-0005-0281-7879Affiliations:
- Peking University, School of Integrated Circuits, Beijing, China
According to our database1,
Zilin Wang
authored at least 17 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
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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
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
HyNITA: A Neuromorphic Inference and Training Accelerator for Hybrid ANN-SNN Fusion Models.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025
NeuroHexa: A 2D/3D-Scalable Model-Adaptive NoC Architecture for Neuromorphic Computing.
Proceedings of the Design, Automation & Test in Europe Conference, 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
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2024
BrainQN: Enhancing the Robustness of Deep Reinforcement Learning with Spiking Neural Networks.
Adv. Intell. Syst., September, 2024
An Efficient Spiking Convolutional Architecture with Compressed Address Event Representation and Adaptive Delay Asynchronous Clocks.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024
2023
An Efficient Neuromorphic Implementation of Temporal Coding-Based On-Chip STDP Learning.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2023
A Spiking Neural Network Accelerator based on Ping-Pong Architecture with Sparse Spike and Weight.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
Unsupervised Learning of Spike-Timing-Dependent Plasticity Based on a Neuromorphic Implementation.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
IEEE Trans. Very Large Scale Integr. Syst., 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022