Zhaofei Yu

Orcid: 0000-0003-0683-6936

According to our database¹, Zhaofei Yu authored at least 136 papers between 2015 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2025

Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Regulating Temporal Neural Coding via Fast and Slow Synaptic Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., February, 2025

Rethinking High-speed Image Reconstruction Framework with Spike Camera.

[BibT_eX]

[DOI]

CoRR, January, 2025

2024

Converting Artificial Neural Networks to Ultralow-Latency Spiking Neural Networks for Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., August, 2024

Spike Camera Image Reconstruction Using Deep Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Meta Reinforcement Learning for Multi-Task Offloading in Vehicular Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., March, 2024

SpiReco: Fast and Efficient Recognition of High-Speed Moving Objects With Spike Camera.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2024

Decoding dynamic visual scenes across the brain hierarchy.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2024

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation.

[BibT_eX]

[DOI]

Zecheng Hao

Zhaofei Yu

Tiejun Huang

CoRR, 2024

USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting.

[BibT_eX]

[DOI]

CoRR, 2024

Comprehensive Online Training and Deployment for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs.

[BibT_eX]

[DOI]

CoRR, 2024

Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications.

[BibT_eX]

[DOI]

Tong Bu

Maohua Li

Zhaofei Yu

CoRR, 2024

SpikeMM: Flexi-Magnification of High-Speed Micro-Motions.

[BibT_eX]

[DOI]

CoRR, 2024

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs.

[BibT_eX]

[DOI]

CoRR, 2024

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Pulse-Coupled Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Visual Neuroprosthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Spiking Transformer with Experts Mixture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Real-time Parameter Evaluation of High-speed Microfluidic Droplets using Continuous Spike Streams.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards High-performance Spiking Transformers from ANN to SNN Conversion.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks.

[BibT_eX]

[DOI]

Lihao Wang

Zhaofei Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Adversarial Robustness in SNNs with Sparse Gradients.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Stable Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Stabilization of Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Threaten Spiking Neural Networks through Combining Rate and Temporal Information.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

One Forward is Enough for Neural Network Training via Likelihood Ratio Method.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Real-Data-Driven 2000 FPS Color Video from Mosaicked Chromatic Spikes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Intensity-Robust Autofocus for Spike Camera.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks.

[BibT_eX]

[DOI]

Xinyu Shi

Zecheng Hao

Zhaofei Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Boosting Spike Camera Image Reconstruction from a Perspective of Dealing with Spike Fluctuations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Super-Resolution Reconstruction from Bayer-Pattern Spike Streams.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Capture the Moment: High-Speed Imaging With Spiking Cameras Through Short-Term Plasticity.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Deep Spike Learning With Local Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2023

Asynchronous Spatiotemporal Spike Metric for Event Cameras.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Spike-Based Motion Estimation for Object Tracking Through Bio-Inspired Unsupervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Diverse role of NMDA receptors for dendritic integration of neural dynamics.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2023

INeAT: Iterative Neural Adaptive Tomography.

[BibT_eX]

[DOI]

CoRR, 2023

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.

[BibT_eX]

[DOI]

CoRR, 2023

Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views.

[BibT_eX]

[DOI]

CoRR, 2023

Spike timing reshapes robustness against attacks in spiking neural networks.

[BibT_eX]

[DOI]

CoRR, 2023

Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method.

[BibT_eX]

[DOI]

CoRR, 2023

Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability.

[BibT_eX]

[DOI]

CoRR, 2023

Spike Stream Denoising via Spike Camera Simulation.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios.

[BibT_eX]

[DOI]

CoRR, 2023

SpikeCV: Open a Continuous Computer Vision Era.

[BibT_eX]

[DOI]

CoRR, 2023

A Novel Noise Injection-based Training Scheme for Better Model Robustness.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recognizing High-Speed Moving Objects with Spike Camera.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Unified Framework for Soft Threshold Pruning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Complementary Intrinsics from Neural Radiance Fields and CNNs for Outdoor Scene Relighting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Reducing ANN-SNN Conversion Error through Residual Membrane Potential.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Joint Dynamic Scene Reconstruction and Optical Flow Estimation for Spiking Camera.

[BibT_eX]

[DOI]

Shiyan Chen

Zhaofei Yu

Tiejun Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Distributed Algorithm for Task Offloading in Vehicular Networks With Hybrid Fog/Cloud Computing.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Reconstructing Clear Image for High-Speed Motion Scene With a Retina-Inspired Spike Camera.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2022

Zooming in on the brain via data science.

[BibT_eX]

[DOI]

Shanshan Jia

Zhaofei Yu

Patterns, 2022

Representing the dynamics of high-dimensional data with non-redundant wavelets.

[BibT_eX]

[DOI]

Patterns, 2022

Structure inference of networked system with the synergy of deep residual network and fully connected layer network.

[BibT_eX]

[DOI]

Neural Networks, 2022

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex.

[BibT_eX]

[DOI]

Neural Comput., 2022

Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2022

1000x Faster Camera and Machine Vision with Ordinary Devices.

[BibT_eX]

[DOI]

CoRR, 2022

Training Spiking Neural Networks with Event-driven Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Temporal Effective Batch Normalization in Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Optical Flow from Continuous Spike Streams.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SpikingSIM: A Bio-Inspired Spiking Simulator.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Self-Supervised Mutual Learning for Dynamic Scene Reconstruction of Spiking Camera.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Modeling The Detection Capability Of High-Speed Spiking Cameras.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Spike Transformer: Monocular Depth Estimation for Spiking Camera.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Optimized Potential Initialization for Low-Latency Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dissecting cascade computational components in spiking neural networks.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks.

[BibT_eX]

[DOI]

Patterns, 2021

Spike-based Residual Blocks.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Residual Learning in Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Pruning of Deep Spiking Neural Networks through Gradient Rewiring.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Super Resolve Dynamic Scene from Continuous Spike Streams.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks.

[BibT_eX]

[DOI]

Victor Chung Sing Lee

IEEE Trans. Veh. Technol., 2020

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks.

[BibT_eX]

[DOI]

Zhaofei Yu

Feng Chen

Jian K. Liu

IEEE Trans. Cogn. Dev. Syst., 2020

Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation.

[BibT_eX]

[DOI]

Neural Networks, 2020

Reconstruction of natural visual scenes from neural spikes with deep neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2020

SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction.

[BibT_eX]

[DOI]

Neural Networks, 2020

Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2020

2019

Hierarchical Bayesian Inference and Learning in Spiking Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing.

[BibT_eX]

[DOI]

Sensors, 2019

Cooperative Temporal Data Dissemination in SDN-Based Heterogeneous Vehicular Networks.

[BibT_eX]

[DOI]

Victor Chung Sing Lee

IEEE Internet Things J., 2019

A unified neural circuit of causal inference and multisensory integration.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor.

[BibT_eX]

[DOI]

IEEE Access, 2019

Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Learning Algorithm for Real-Time Service in Vehicular Networks with Mobile-Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Noise helps optimization escape from saddle points in the neural dynamics.

[BibT_eX]

[DOI]

Ying Fang

Zhaofei Yu

Feng Chen

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks.

[BibT_eX]

[DOI]

Zhaofei Yu

Feng Chen

Fei Deng

IEEE Trans. Neural Networks Learn. Syst., 2018

Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2018

Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2018

Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits.

[BibT_eX]

[DOI]

CoRR, 2018

Reaction-diffusion equation based image restoration.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

Heterogeneous cooperative belief for social dilemma in multi-agent system.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

Promote of cooperation in networked multiagent system based on fitness control.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2018

Implementation of Bayesian Inference In Distributed Neural Networks.

[BibT_eX]

[DOI]

Zhaofei Yu

Tiejun Huang

Jian K. Liu

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

An Adaptive Task Assignment Scheme for Data Service in Heterogeneous Vehicular Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Networking, 2018

2017

Revealing structure components of the retina by deep learning networks.

[BibT_eX]

[DOI]

CoRR, 2017

Neural network implementation of inference on binary Markov random fields with probability coding.

[BibT_eX]

[DOI]

Zhaofei Yu

Feng Chen

Jianwu Dong

Appl. Math. Comput., 2017

2016

Sampling-based causal inference in cue combination and its neural implementation.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Hamiltonian synaptic sampling in a model for reward-gated network plasticity.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Efficient approximate linear programming for factored MDPs.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2015

Zhaofei Yu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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