Jian K. Liu

Orcid: 0000-0002-5391-7213

According to our database1, Jian K. Liu authored at least 50 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep Learning for Visual Neuroprosthesis.
CoRR, 2024

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Enhancing Visual Coding Through Collaborative Perception.
IEEE Trans. Cogn. Dev. Syst., December, 2023

HybridGCN for protein solubility prediction with adaptive weighting of multiple features.
J. Cheminformatics, December, 2023

HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Flexible Learning Models Utilizing Different Neural Plasticities.
IEEE Trans. Cogn. Dev. Syst., September, 2023

Attention guided learnable time-domain filterbanks for speech depression detection.
Neural Networks, August, 2023

RBNet: An Ultrafast Rendering-Based Architecture for Railway Defect Segmentation.
IEEE Trans. Instrum. Meas., 2023

Neural Encoding and Decoding With a Flow-Based Invertible Generative Model.
IEEE Trans. Cogn. Dev. Syst., 2023

Diverse role of NMDA receptors for dendritic integration of neural dynamics.
PLoS Comput. Biol., 2023

Spike timing reshapes robustness against attacks in spiking neural networks.
CoRR, 2023

Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks.
CoRR, 2023

Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Robust Transcoding Sensory Information With Neural Spikes.
IEEE Trans. Neural Networks Learn. Syst., 2022

Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks.
IEEE Trans. Cybern., 2022

Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization.
IEEE Trans. Cybern., 2022

Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.
PLoS Comput. Biol., 2022

Representing the dynamics of high-dimensional data with non-redundant wavelets.
Patterns, 2022

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex.
Neural Comput., 2022

Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches.
Int. J. Autom. Comput., 2022

Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms.
Frontiers Comput. Neurosci., 2022

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways.
PLoS Comput. Biol., 2021

Regulating synchronous oscillations of cerebellar granule cells by different types of inhibition.
PLoS Comput. Biol., 2021

Dissecting cascade computational components in spiking neural networks.
PLoS Comput. Biol., 2021

Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks.
Patterns, 2021

Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network.
Neural Comput., 2021

2020
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.
IEEE Trans. Cybern., 2020

Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks.
IEEE Trans. Cogn. Dev. Syst., 2020

Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation.
Neural Networks, 2020

Reconstruction of natural visual scenes from neural spikes with deep neural networks.
Neural Networks, 2020

Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics.
Frontiers Comput. Neurosci., 2020

Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A unified neural circuit of causal inference and multisensory integration.
Neurocomputing, 2019

Computational modelling of salamander retinal ganglion cells using machine learning approaches.
Neurocomputing, 2019

Coding Capacity of Purkinje Cells With Different Schemes of Morphological Reduction.
Frontiers Comput. Neurosci., 2019

Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks.
CoRR, 2019

Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor.
IEEE Access, 2019

2018
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques.
IEEE Trans. Neural Networks Learn. Syst., 2018

Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization.
CoRR, 2018

Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits.
CoRR, 2018

A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina.
CoRR, 2018

Implementation of Bayesian Inference In Distributed Neural Networks.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

2017
Revealing structure components of the retina by deep learning networks.
CoRR, 2017

2016
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.
PLoS Comput. Biol., 2016

2015
Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.
PLoS Comput. Biol., 2015

2011
Learning Rule of Homeostatic Synaptic Scaling: Presynaptic Dependent or Not.
Neural Comput., 2011


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