Jian K. Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 58

Top Topics

Biologically Inspired

Bayesian Inference

Top Venues

PLoS Comput. Biol.

IEEE Trans. Cogn. Dev. Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Yu Tang, Shangqi Guo, Jinhui Liu, Bo Wan, Lingling An, Jian K. Liu
Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering. Knowl. Based Syst. 294 (2024)
Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs. CoRR (2024)
Rining Wu, Feixiang Zhou, Ziwei Yin, Jian K. Liu
Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models. CoRR (2024)
Yunhua Chen, Ren Feng, Zhimin Xiong, Jinsheng Xiao, Jian K. Liu
High-performance deep spiking neural networks via at-most-two-spike exponential coding. Neural Networks 176 (2024)
Yaxin Li, Xuanye Fang, Yuyuan Gao, Dongdong Zhou, Jiangrong Shen, Jian K. Liu, Gang Pan, Qi Xu
Efficient Structure Slimming for Spiking Neural Networks. IEEE Trans. Artif. Intell. 5 (8) (2024)
Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu
Deep Learning for Visual Neuroprosthesis. CoRR (2024)
Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. AAAI (2024)
Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. AAAI (2023)
Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CVPR (2023)
Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang
Attention guided learnable time-domain filterbanks for speech depression detection. Neural Networks 165 (2023)
Mingxu Li, Bo Peng, Jian K. Liu, Donghai Zhai
RBNet: An Ultrafast Rendering-Based Architecture for Railway Defect Segmentation. IEEE Trans. Instrum. Meas. 72 (2023)
Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He
Neural Encoding and Decoding With a Flow-Based Invertible Generative Model. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Lingling An, Ye Yuan, Yunhao Liu, Fan Zhao, Quan Wang, Jian K. Liu
Flexible Learning Models Utilizing Different Neural Plasticities. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. CoRR (2023)
Long Chen, Rining Wu, Feixiang Zhou, Huifeng Zhang, Jian K. Liu
HybridGCN for protein solubility prediction with adaptive weighting of multiple features. J. Cheminformatics 15 (1) (2023)
Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CoRR (2023)
Yuanhong Tang, Xingyu Zhang, Lingling An, Zhaofei Yu, Jian K. Liu
Diverse role of NMDA receptors for dendritic integration of neural dynamics. PLoS Comput. Biol. 19 (4) (2023)
Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
Spike timing reshapes robustness against attacks in spiking neural networks. CoRR (2023)
Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang
HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Lingling An, Zhen Yan, Weizheng Wang, Jian K. Liu, Keping Yu
Enhancing Visual Coding Through Collaborative Perception. IEEE Trans. Cogn. Dev. Syst. 15 (4) (2023)
Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. CoRR (2023)
Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. CoRR (2022)
Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. Neural Comput. 34 (6) (2022)
Jian K. Liu, Dimokratis Karamanlis, Tim Gollisch
Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration. PLoS Comput. Biol. 18 (3) (2022)
Yi-Jun Zhang, Zhaofei Yu, Jian K. Liu, Tie-Jun Huang
Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches. Int. J. Autom. Comput. 19 (5) (2022)
Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu
Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. 52 (1) (2022)
Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu
Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. 52 (6) (2022)
Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. NeurIPS (2022)
Chuanliang Han, Tian Wang, Yujie Wu, Hui Li, Encong Wang, Xixi Zhao, Qingjiu Cao, Qiujin Qian, Yufeng Wang, Fei Dou, Jian K. Liu, Li Sun, Dajun Xing
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms. Frontiers Comput. Neurosci. 16 (2022)
Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu
Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns 3 (3) (2022)
Yuanhong Tang, Lingling An, Ye Yuan, Qingqi Pei, Quan Wang, Jian K. Liu
Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways. PLoS Comput. Biol. 17 (2) (2021)
Yuanhong Tang, Lingling An, Quan Wang, Jian K. Liu
Regulating synchronous oscillations of cerebellar granule cells by different types of inhibition. PLoS Comput. Biol. 17 (6) (2021)
Jiangrong Shen, Jian K. Liu, Yueming Wang
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network. Neural Comput. 33 (11) (2021)
Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu
Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. 17 (11) (2021)
Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. Patterns 2 (10) (2021)
Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks 126 (2020)
Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang
Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. IJCNN (2020)
Lingling An, Yuanhong Tang, Doudou Wang, Shanshan Jia, Qingqi Pei, Quan Wang, Zhaofei Yu, Jian K. Liu
Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics. Frontiers Comput. Neurosci. 14 (2020)
Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. 50 (3) (2020)
Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He
Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model. IJCNN (2020)
Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu
Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks 125 (2020)
Zhaofei Yu, Feng Chen, Jian K. Liu
Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. IEEE Trans. Cogn. Dev. Syst. 12 (3) (2020)
Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen
A unified neural circuit of causal inference and multisensory integration. Neurocomputing 358 (2019)
Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. CoRR (2019)
Gautham P. Das, Philip J. Vance, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Jian K. Liu
Computational modelling of salamander retinal ganglion cells using machine learning approaches. Neurocomputing 325 (2019)
Lingling An, Yuanhong Tang, Quan Wang, Qingqi Pei, Ran Wei, Huiyuan Duan, Jian K. Liu
Coding Capacity of Purkinje Cells With Different Schemes of Morphological Reduction. Frontiers Comput. Neurosci. 13 (2019)
Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. CoRR (2019)
Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang
Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor. IEEE Access 7 (2019)
Philip J. Vance, Gautham P. Das, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Tim Gollisch, Jian K. Liu
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR (2018)
Zhaofei Yu, Tiejun Huang, Jian K. Liu
Implementation of Bayesian Inference In Distributed Neural Networks. PDP (2018)
Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR (2018)
Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits. CoRR (2018)
Yang Yue, Liuyuan He, Gan He, Jian K. Liu, Kai Du, Yonghong Tian, Tiejun Huang
A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina. CoRR (2018)
Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu
Revealing structure components of the retina by deep learning networks. CoRR (2017)
Arno Onken, Jian K. Liu, P. P. Chamanthi R. Karunasekara, Ioannis Delis, Tim Gollisch, Stefano Panzeri
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains. PLoS Comput. Biol. 12 (11) (2016)
Jian K. Liu, Tim Gollisch
Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina. PLoS Comput. Biol. 11 (7) (2015)
Jian K. Liu
Learning Rule of Homeostatic Synaptic Scaling: Presynaptic Dependent or Not. Neural Comput. 23 (12) (2011)