Jian K. Liu - RankMe

79 papers A* 4A 2B 2C 1Journal 69Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding. CoRR Yizhe Li, Shixiao Wang, Jian K. Liu
2026	J	`jnl`	HMEN: A hybrid modular network with dynamic expansion for continual learning. Knowl. Based Syst. Ziye Fang, Bo Wan, Shangqi Guo, Jian K. Liu
2025	J	`jnl`	Assisting Training of Deep Spiking Neural Networks With Parameter Initialization. IEEE Trans. Neural Networks Learn. Syst. Jianhao Ding, Jiyuan Zhang, Tiejun Huang, Jian K. Liu, Zhaofei Yu
2025	J	`jnl`	Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs. IEEE Trans. Neural Networks Learn. Syst. Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Corrigendum to "Implementing feature binding through dendritic networks of a single neuron" [Neural Networks(2025) 107555]. Neural Networks Yuanhong Tang, Shanshan Jia, Tiejun Huang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Decoding natural visual scenes via learnable representations of neural spiking sequences. Neural Networks Jing Peng, Shanshan Jia, Jiyuan Zhang, Yongxing Wang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Implementing feature binding through dendritic networks of a single neuron. Neural Networks Yuanhong Tang, Shanshan Jia, Tiejun Huang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure. IEEE J. Biomed. Health Informatics Xun Peng, Chunping Ouyang, Yongbin Liu, Ying Yu, Jian K. Liu, Min Chen
2025	J	`jnl`	ProCeSa: Contrast-Enhanced Structure-Aware Network for Thermostability Prediction with Protein Language Models. J. Chem. Inf. Model. Feixiang Zhou, Shuo Zhang, Huifeng Zhang, Jian K. Liu
2025	J	`jnl`	Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes. IEEE Trans. Neural Networks Learn. Syst. Zhaofei Yu, Tong Bu, Yijun Zhang, Shanshan Jia, Tiejun Huang, Jian K. Liu
2025	J	`jnl`	Robust Sensory Information Reconstruction and Classification With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Sibo Liu, Xuming Ran, Yaxin Li, Jiangrong Shen, Huajin Tang, Jian K. Liu, Gang Pan, Qiang Zhang
2025	J	`jnl`	Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhile Yang, Shangqi Guo, Ying Fang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	Temporal spiking generative adversarial networks for heading direction decoding. Neural Networks Jiangrong Shen, Kejun Wang, Wei Gao, Jian K. Liu, Qi Xu, Gang Pan, Xiaodong Chen, Huajin Tang
2024	—	`conf`	Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models. ECCV (88) Rining Wu, Feixiang Zhou, Ziwei Yin, Jian K. Liu
2024	J	`jnl`	Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models. CoRR Rining Wu, Feixiang Zhou, Ziwei Yin, Jian K. Liu
2024	J	`jnl`	Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs. CoRR Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
2024	J	`jnl`	Decoding dynamic visual scenes across the brain hierarchy. PLoS Comput. Biol. Ye Chen, Peter Beech, Ziwei Yin, Shanshan Jia, Jiayi Zhang, Zhaofei Yu, Jian K. Liu
2024	J	`jnl`	Deep Learning for Visual Neuroprosthesis. CoRR Peter Beech, Shanshan Jia, Zhaofei Yu, Jian K. Liu
2024	J	`jnl`	Efficient Structure Slimming for Spiking Neural Networks. IEEE Trans. Artif. Intell. Yaxin Li, Xuanye Fang, Yuyuan Gao, Dongdong Zhou, Jiangrong Shen, Jian K. Liu, Gang Pan, Qi Xu
2024	A*	`conf`	Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. AAAI Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2024	J	`jnl`	HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation. IEEE Trans. Neural Networks Learn. Syst. Gen Shi, Yifan Zhu, Jian K. Liu, Xuesong Li
2024	J	`jnl`	Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan
2024	J	`jnl`	Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering. Knowl. Based Syst. Yu Tang, Shangqi Guo, Jinhui Liu, Bo Wan, Lingling An, Jian K. Liu
2024	J	`jnl`	High-performance deep spiking neural networks via at-most-two-spike exponential coding. Neural Networks Yunhua Chen, Ren Feng, Zhimin Xiong, Jinsheng Xiao, Jian K. Liu
2024	J	`jnl`	SeqProFT: Applying LoRA Finetuning for Sequence-only Protein Property Predictions. CoRR Shuo Zhang, Jian K. Liu
2024	A	`conf`	The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment. ICME Jianing Han, Jiangrong Shen, Qi Xu, Jian K. Liu, Huajin Tang
2023	J	`jnl`	Attention guided learnable time-domain filterbanks for speech depression detection. Neural Networks Wenju Yang, Jiankang Liu, Peng Cao, Rongxin Zhu, Yang Wang, Jian K. Liu, Fei Wang, Xizhe Zhang
2023	J	`jnl`	Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. CoRR Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
2023	A*	`conf`	Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CVPR Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
2023	J	`jnl`	Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CoRR Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
2023	J	`jnl`	Diverse role of NMDA receptors for dendritic integration of neural dynamics. PLoS Comput. Biol. Yuanhong Tang, Xingyu Zhang, Lingling An, Zhaofei Yu, Jian K. Liu
2023	A*	`conf`	ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. AAAI Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
2023	J	`jnl`	ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. CoRR Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
2023	J	`jnl`	Enhancing Visual Coding Through Collaborative Perception. IEEE Trans. Cogn. Dev. Syst. Lingling An, Zhen Yan, Weizheng Wang, Jian K. Liu, Keping Yu
2023	J	`jnl`	Flexible Learning Models Utilizing Different Neural Plasticities. IEEE Trans. Cogn. Dev. Syst. Lingling An, Ye Yuan, Yunhao Liu, Fan Zhao, Quan Wang, Jian K. Liu
2023	J	`jnl`	HybridGCN for protein solubility prediction with adaptive weighting of multiple features. J. Cheminformatics Long Chen, Rining Wu, Feixiang Zhou, Huifeng Zhang, Jian K. Liu
2023	J	`jnl`	HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang
2023	J	`jnl`	Neural Encoding and Decoding With a Flow-Based Invertible Generative Model. IEEE Trans. Cogn. Dev. Syst. Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He
2023	J	`jnl`	RBNet: An Ultrafast Rendering-Based Architecture for Railway Defect Segmentation. IEEE Trans. Instrum. Meas. Mingxu Li, Bo Peng, Jian K. Liu, Donghai Zhai
2023	J	`jnl`	Spike timing reshapes robustness against attacks in spiking neural networks. CoRR Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2022	A	`conf`	Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. BMVC Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
2022	J	`jnl`	Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. CoRR Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
2022	J	`jnl`	Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms. Frontiers Comput. Neurosci. 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
2022	J	`jnl`	Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. Neural Comput. Yijun Zhang, Tong Bu, Jiyuan Zhang, Shiming Tang, Zhaofei Yu, Jian K. Liu, Tiejun Huang
2022	J	`jnl`	Neural Decoding of Visual Information Across Different Neural Recording Modalities and Approaches. Int. J. Autom. Comput. Yi-Jun Zhang, Zhaofei Yu, Jian K. Liu, Tie-Jun Huang
2022	J	`jnl`	Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu
2022	J	`jnl`	Representing the dynamics of high-dimensional data with non-redundant wavelets. Patterns Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu
2022	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
2022	J	`jnl`	Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu
2022	A*	`conf`	SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. NeurIPS Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2022	J	`jnl`	Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration. PLoS Comput. Biol. Jian K. Liu, Dimokratis Karamanlis, Tim Gollisch
2021	J	`jnl`	Dissecting cascade computational components in spiking neural networks. PLoS Comput. Biol. Shanshan Jia, Dajun Xing, Zhaofei Yu, Jian K. Liu
2021	J	`jnl`	Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network. Neural Comput. Jiangrong Shen, Jian K. Liu, Yueming Wang
2021	J	`jnl`	Modulation of the dynamics of cerebellar Purkinje cells through the interaction of excitatory and inhibitory feedforward pathways. PLoS Comput. Biol. Yuanhong Tang, Lingling An, Ye Yuan, Qingqi Pei, Quan Wang, Jian K. Liu
2021	J	`jnl`	Regulating synchronous oscillations of cerebellar granule cells by different types of inhibition. PLoS Comput. Biol. Yuanhong Tang, Lingling An, Quan Wang, Jian K. Liu
2021	J	`jnl`	Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. Patterns Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang
2020	J	`jnl`	Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
2020	J	`jnl`	Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics. Frontiers Comput. Neurosci. Lingling An, Yuanhong Tang, Doudou Wang, Shanshan Jia, Qingqi Pei, Quan Wang, Zhaofei Yu, Jian K. Liu
2020	J	`jnl`	Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian
2020	B	`conf`	Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks. IJCNN Jiangrong Shen, Yu Zhao, Jian K. Liu, Yueming Wang
2020	J	`jnl`	Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu
2020	J	`jnl`	Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. IEEE Trans. Cogn. Dev. Syst. Zhaofei Yu, Feng Chen, Jian K. Liu
2020	B	`conf`	Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model. IJCNN Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He
2019	J	`jnl`	A unified neural circuit of causal inference and multisensory integration. Neurocomputing Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen
2019	J	`jnl`	Coding Capacity of Purkinje Cells With Different Schemes of Morphological Reduction. Frontiers Comput. Neurosci. Lingling An, Yuanhong Tang, Quan Wang, Qingqi Pei, Ran Wei, Huiyuan Duan, Jian K. Liu
2019	J	`jnl`	Computational modelling of salamander retinal ganglion cells using machine learning approaches. Neurocomputing Gautham P. Das, Philip J. Vance, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Jian K. Liu
2019	J	`jnl`	Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. CoRR Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian
2019	J	`jnl`	Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. CoRR Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
2019	J	`jnl`	Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor. IEEE Access Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang
2018	J	`jnl`	A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina. CoRR Yang Yue, Liuyuan He, Gan He, Jian K. Liu, Kai Du, Yonghong Tian, Tiejun Huang
2018	J	`jnl`	Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques. IEEE Trans. Neural Networks Learn. Syst. Philip J. Vance, Gautham P. Das, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Tim Gollisch, Jian K. Liu
2018	J	`jnl`	Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu
2018	C	`conf`	Implementation of Bayesian Inference In Distributed Neural Networks. PDP Zhaofei Yu, Tiejun Huang, Jian K. Liu
2018	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
2018	J	`jnl`	Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits. CoRR Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu
2017	J	`jnl`	Revealing structure components of the retina by deep learning networks. CoRR Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu
2016	J	`jnl`	Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains. PLoS Comput. Biol. Arno Onken, Jian K. Liu, P. P. Chamanthi R. Karunasekara, Ioannis Delis, Tim Gollisch, Stefano Panzeri
2015	J	`jnl`	Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina. PLoS Comput. Biol. Jian K. Liu, Tim Gollisch
2011	J	`jnl`	Learning Rule of Homeostatic Synaptic Scaling: Presynaptic Dependent or Not. Neural Comput. Jian K. Liu