Huihui Zhou
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Microelectron. J., 2026
Single-channel EEG-based sleep staging with rhythm representation and contrastive learning.
Biomed. Signal Process. Control., 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks.
CoRR, August, 2025
E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer.
CoRR, August, 2025
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields.
CoRR, January, 2025
A Skip Connection Generative Adversarial Network With EEG Background Noise for Motor Imagery Decoding.
IEEE Trans. Instrum. Meas., 2025
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
SimST: Simulation Framework for Energy-Dataflow Co-Optimization in Spike-Driven Transformer.
Proceedings of the 38th IEEE International System-on-Chip Conference, 2025
2024
SiBrain: A Sparse Spatio-Temporal Parallel Neuromorphic Architecture for Accelerating Spiking Convolution Neural Networks With Low Latency.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2024
Multim. Tools Appl., July, 2024
TENet: A Texture-Enhanced Network for Intertidal Sediment and Habitat Classification in Multiband PolSAR Images.
Remote. Sens., March, 2024
Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy.
Adv. Intell. Syst., January, 2024
High-speed and High-quality Vision Reconstruction of Spike Camera with Spike Stability Theorem.
CoRR, 2024
CoRR, 2024
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training.
CoRR, 2024
Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics.
CoRR, 2024
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.
CoRR, 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.
CoRR, 2024
Unsupervised domain adaptation for histopathology image segmentation with incomplete labels.
Comput. Biol. Medicine, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Multi-stage Multi-granularity Focus-Tuned Learning Paradigm for Medical HSI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Performance of spleen stiffness measurement by 2D-shear wave elastography in evaluating the presence of high-risk varices: comparative analysis of idiopathic portal hypertension versus hepatitis B virus.
BMC Medical Imaging, December, 2023
A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment.
IEEE Trans. Knowl. Data Eng., July, 2023
A 95% Efficiency Reusable Adaptive Time Control Bidirectional Buck Charge Converter for Wide Input Range Operation.
IEEE Trans. Circuits Syst. II Express Briefs, 2023
Multi-style transfer and fusion of image's regions based on attention mechanism and instance segmentation.
Signal Process. Image Commun., 2023
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.
CoRR, 2023
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli.
CoRR, 2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation.
CoRR, 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network.
CoRR, 2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
DITES: A Lightweight and Flexible Dual-Core Isolated Trusted Execution SoC Based on RISC-V.
Sensors, 2022
Pine pest detection using remote sensing satellite images combined with a multi-scale attention-UNet model.
Ecol. Informatics, 2022
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022
2021
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021
2020
2019
A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder.
CoRR, 2019
2018
A Dual Stimuli Approach Combined with Convolutional Neural Network to Improve Information Transfer Rate of Event-Related Potential-Based Brain-Computer Interface.
Int. J. Neural Syst., 2018
2017
An Event-Related Potential-Based Adaptive Model for Telepresence Control of Humanoid Robot Motion in an Environment Cluttered With Obstacles.
IEEE Trans. Ind. Electron., 2017
Comput. Intell. Neurosci., 2017
2016
Int. J. Neural Syst., 2016