Yuhan Zhang

Orcid: 0000-0001-8579-4943

Affiliations:
  • CASIC, Intelligent Science and Technology Academy, Beijing, China


According to our database1, Yuhan Zhang authored at least 25 papers between 2019 and 2026.

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Bibliography

2026
Generative Model for 2.5D-Assisted Future Urban Remote Sensing Image Synthesis.
IEEE Signal Process. Lett., 2026

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

Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method.
Complex Intell. Syst., 2025

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks.
Proceedings of the Forty-second International Conference on Machine Learning, 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

Technique Report of CVPR 2024 PBDL Challenges.
CoRR, 2024

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 37: 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 37: 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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