Yuhan Zhang

Orcid: 0000-0001-8579-4943

According to our database1, Yuhan Zhang authored at least 21 papers between 2019 and 2025.

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Bibliography

2025
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks.
CoRR, June, 2025

Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer.
CoRR, March, 2025

PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization.
Neural Networks, 2025

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction.
IEEE Geosci. Remote. Sens. Lett., 2025

Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics.
IEEE Trans. Instrum. Meas., 2024

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Spiking PointNet: Spiking Neural Networks for Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Membrane Potential Batch Normalization for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Audio-Driven High Definetion and Lip-Synchronized Talking Face Generation Based on Face Reenactment.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Data-Driven Modeling Method for Stochastic Nonlinear Degradation Process With Application to RUL Estimation.
IEEE Trans. Syst. Man Cybern. Syst., 2022

An Event-Driven Spatiotemporal Domain Adaptation Method for DVS Gesture Recognition.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Meta Talk: Learning To Data-Efficiently Generate Audio-Driven Lip-Synchronized Talking Face With High Definition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Remaining Useful Life Prediction Method in the Early Stage of Stochastic Degradation Process.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A key performance indicator-based fault detection scheme for marine diesel turbocharging systems.
J. Frankl. Inst., 2021

A Data Driven RUL Prediction and Predictive Maintenance for Stochastic Degrading Systems.
Proceedings of the CAA Symposium on Fault Detection, 2021

2019
Layer-Wise Fault Diagnosis Based on Key Performance Indicator for Cylinder-Piston Assembly of Diesel Engine.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019


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