Improved perception-based spiking neuron learning rule for real-time user authentication. - Hong Qu; Xiurui Xie; Yongshuai Liu; Malu Zhang; Li Lu 001 (Neurocomputing, 2015)

A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks. - Lin Zuo; Shan Chen; Hong Qu; Malu Zhang (ICONIP (3), 2017)

A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network. - Lin Zuo; Linyao Ma; Yanqing Xiao; Malu Zhang; Hong Qu (ICONIP (3), 2017)

ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks. - Yongqing Zhang; Yi Chen; Malu Zhang; Xi Wu 004; Jiliu Zhou; Hong Qu (SSCI, 2017)

Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. - Xiurui Xie; Hong Qu; Guisong Liu; Malu Zhang (Neurocomputing, 2017)

Supervised learning in spiking neural networks with noise-threshold. - Malu Zhang; Hong Qu; Xiurui Xie; Jürgen Kurths (Neurocomputing, 2017)

Botnet Detection based on Fuzzy Association Rules. - Jiazhong Lu; Fengmao Lv; Quan-Hui Liu; Malu Zhang; Xiaosong Zhang 001 (ICPR, 2018)

Deep Learning Modeling for Top-N Recommendation With Interests Exploring. - Wang Zhou 001; Jianping Li 002; Malu Zhang; Yazhou Wang; Fadia Shah (IEEE Access, 2018)

Feedforward Computational Model for Pattern Recognition with Spiking neurons. - Malu Zhang; Hong Qu; Jianping Li; Ammar Belatreche; Xiurui Xie; Zhi Zeng (Int. J. Robotics Autom., 2018)

EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons. - Malu Zhang; Hong Qu; Ammar Belatreche; Xiurui Xie (IEEE Trans. Cogn. Dev. Syst., 2018)

MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. - Malu Zhang; Jibin Wu; Yansong Chua; Xiaoling Luo 001; Zihan Pan; Dan Liu; Haizhou Li 001 (AAAI, 2019)

Neural Population Coding for Effective Temporal Classification. - Zihan Pan; Jibin Wu; Malu Zhang; Haizhou Li 001; Yansong Chua (IJCNN, 2019)

Deep Spiking Neural Network with Spike Count based Learning Rule. - Jibin Wu; Yansong Chua; Malu Zhang; Qu Yang; Guoqi Li; Haizhou Li 001 (IJCNN, 2019)

Competitive STDP-based Feature Representation Learning for Sound Event Classification. - Jibin Wu; Malu Zhang; Haizhou Li 001; Yansong Chua (IJCNN, 2019)

Robust Sound Recognition: A Neuromorphic Approach. - Jibin Wu; Zihan Pan; Malu Zhang; Rohan Kumar Das; Yansong Chua; Haizhou Li 001 (INTERSPEECH, 2019)

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. - Jibin Wu; Yansong Chua; Malu Zhang; Guoqi Li; Haizhou Li 001; Kay Chen Tan (CoRR, 2019)

An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. - Zihan Pan; Yansong Chua; Jibin Wu; Malu Zhang; Haizhou Li 001; Eliathamby Ambikairajah (CoRR, 2019)

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. - Jibin Wu; Emre Yilmaz 001; Malu Zhang; Haizhou Li 001; Kay Chen Tan (CoRR, 2019)

The maximum points-based supervised learning rule for spiking neural networks. - Xiurui Xie; Guisong Liu; Qing Cai; Hong Qu; Malu Zhang (Soft Comput., 2019)

A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons. - Malu Zhang; Hong Qu; Ammar Belatreche; Yi Chen; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. - Malu Zhang; Jiadong Wang; Zhixuan Zhang; Ammar Belatreche; Jibin Wu; Yansong Chua; Hong Qu; Haizhou Li 001 (CoRR, 2020)

You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy. - Srivatsa P; Kyle Timothy Ng Chu; Yaswanth Tavva; Jibin Wu; Malu Zhang; Haizhou Li 001; Trevor E. Carlson (CoRR, 2020)

Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network. - Zihan Pan; Malu Zhang; Jibin Wu; Haizhou Li 001 (CoRR, 2020)

Supervised learning in spiking neural networks with synaptic delay-weight plasticity. - Malu Zhang; Jibin Wu; Ammar Belatreche; Zihan Pan; Xiurui Xie; Yansong Chua; Guoqi Li; Hong Qu; Haizhou Li 001 (Neurocomputing, 2020)

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. - Malu Zhang; Xiaoling Luo 001; Yi Chen; Jibin Wu; Ammar Belatreche; Zihan Pan; Hong Qu; Haizhou Li 001 (IEEE J. Sel. Top. Signal Process., 2020)

An end-to-end functional spiking model for sequential feature learning. - Xiurui Xie; Guisong Liu; Qing Cai; Guolin Sun; Malu Zhang; Hong Qu (Knowl. Based Syst., 2020)

Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. - Yi Chen; Hong Qu; Malu Zhang; Yuchen Wang (AAAI, 2021)

GCC-PHAT with Speech-oriented Attention for Robotic Sound Source Localization. - Jiadong Wang; Xinyuan Qian 001; Zihan Pan; Malu Zhang; Haizhou Li 001 (ICRA, 2021)

HuRAI: A brain-inspired computational model for human-robot auditory interface. - Jibin Wu; Qi Liu 005; Malu Zhang; Zihan Pan; Haizhou Li 001; Kay Chen Tan (Neurocomputing, 2021)

A new recursive least squares-based learning algorithm for spiking neurons. - Yun Zhang; Hong Qu; Xiaoling Luo 001; Yi Chen; Yuchen Wang; Malu Zhang; Zefang Li (Neural Networks, 2021)

Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization With Spiking Neural Networks. - Zihan Pan; Malu Zhang; Jibin Wu; Jiadong Wang; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. - Jiadong Wang; Jibin Wu; Malu Zhang; Qi Liu 005; Haizhou Li 001 (ICASSP, 2022)

Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. - Xiaoling Luo 001; Hanwen Liu; Yi Chen; Malu Zhang; Hong Qu (ICONIP (4), 2022)

Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion. - Yuchen Wang; Malu Zhang; Yi Chen; Hong Qu (IJCAI, 2022)

Training Spiking Neural Networks with Local Tandem Learning. - Qu Yang; Jibin Wu; Malu Zhang; Yansong Chua; Xinchao Wang; Haizhou Li 001 (NeurIPS, 2022)

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. - Rui-Jie Zhu 003; Qihang Zhao; Tianjing Zhang; Haoyu Deng; Yule Duan; Malu Zhang; Liang-Jian Deng (CoRR, 2022)

When to transfer: a dynamic domain adaptation method for effective knowledge transfer. - Xiurui Xie; Qing Cai; Hongjie Zhang; Malu Zhang; Zeheng Yang; Guisong Liu (Int. J. Mach. Learn. Cybern., 2022)

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. - Jibin Wu; Chenglin Xu; Xiao Han; Daquan Zhou; Malu Zhang; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. - Malu Zhang; Jiadong Wang; Jibin Wu; Ammar Belatreche; Burin Amornpaisannon; Zhixuan Zhang; Venkata Pavan Kumar Miriyala; Hong Qu; Yansong Chua; Trevor E. Carlson; Haizhou Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Substructure Aware Graph Neural Networks. - Dingyi Zeng; Wanlong Liu; Wenyu Chen 001; Li Zhou 010; Malu Zhang; Hong Qu (AAAI, 2023)

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert. - Jiadong Wang; Xinyuan Qian 001; Malu Zhang; Robby T. Tan; Haizhou Li 001 (CVPR, 2023)

Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. - Wenjie Wei; Malu Zhang; Hong Qu; Ammar Belatreche; Jian Zhang 020; Hong Chen 002 (ICCV, 2023)

Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. - Yuchen Wang; Kexin Shi; Chengzhuo Lu; Yuguo Liu; Malu Zhang; Hong Qu (IJCAI, 2023)

A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. - Hanwen Liu; Yi Chen; Zihang Zeng; Malu Zhang; Hong Qu (IJCNN, 2023)

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling. - Qiugang Zhan; Xiurui Xie; Guisong Liu; Malu Zhang (CoRR, 2023)

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. - Qu Yang; Malu Zhang; Jibin Wu; Kay Chen Tan; Haizhou Li 001 (CoRR, 2023)

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. - Pengfei Sun; Jibin Wu; Malu Zhang; Paul Devos; Dick Botteldooren (CoRR, 2023)

Bio-inspired Active Learning method in spiking neural network. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Malu Zhang; Guolin Sun (Knowl. Based Syst., 2023)

DPGNN: Dual-perception graph neural network for representation learning. - Li Zhou 010; Wenyu Chen 001; Dingyi Zeng; Shaohuan Cheng; Wanlong Liu; Malu Zhang; Hong Qu (Knowl. Based Syst., 2023)

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. - Jibin Wu; Yansong Chua; Malu Zhang; Guoqi Li; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation. - Xiaoling Luo 001; Hong Qu; Yuchen Wang; Zhang Yi 001; Jilun Zhang; Malu Zhang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition. - Jiadong Wang; Zexu Pan; Malu Zhang; Robby T. Tan; Haizhou Li 001 (AAAI, 2024)

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators. - Chen Zhang 020; Luis Fernando D'Haro; Yiming Chen 010; Malu Zhang; Haizhou Li 001 (AAAI, 2024)

Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction. - Wanlong Liu; Li Zhou 010; Dingyi Zeng; Yichen Xiao; Shaohuan Cheng; Chen Zhang; Grandee Lee; Malu Zhang; Wenyu Chen 001 (ACL (Findings), 2024)

Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal. - Yeying Jin; Xin Li 082; Jiadong Wang; Yan Zhang 004; Malu Zhang (ECCV (6), 2024)

Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. - Zeyang Song; Jibin Wu; Malu Zhang; Mike Zheng Shou; Haizhou Li 001 (ICASSP, 2024)

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. - Qianhui Liu; Jiaqi Yan; Malu Zhang; Gang Pan 001; Haizhou Li 001 (IJCAI, 2024)

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. - Shuai Wang; Dehao Zhang; Kexin Shi; Yuchen Wang; Wenjie Wei; Jibin Wu; Malu Zhang (INTERSPEECH, 2024)

Q-SNNs: Quantized Spiking Neural Networks. - Wenjie Wei; Yu Liang; Ammar Belatreche; Yichen Xiao; Honglin Cao; Zhenbang Ren; Guoqing Wang 003; Malu Zhang; Yang Yang 060 (ACM Multimedia, 2024)

JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement. - Yuhui Wu 001; Guoqing Wang 001; Zhiwen Wang 004; Yang Yang 002; Tianyu Li; Malu Zhang; Chongyi Li; Heng Tao Shen (ACM Multimedia, 2024)

Spike-based Neuromorphic Model for Sound Source Localization. - Dehao Zhang; Shuai Wang; Ammar Belatreche; Wenjie Wei; Yichen Xiao; Haorui Zheng; Zijian Zhou 005; Malu Zhang; Yang Yang 060 (NeurIPS, 2024)

Federated learning for spiking neural networks by hint-layer knowledge distillation. - Xiurui Xie; Jingxuan Feng; Guisong Liu; Qiugang Zhan; Zhetong Liu; Malu Zhang (Appl. Soft Comput., 2024)

CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing. - Xianghu Yue; Xiaohai Tian; Malu Zhang; Zhizheng Wu 001; Haizhou Li 001 (CoRR, 2024)

Event-Driven Learning for Spiking Neural Networks. - Wenjie Wei; Malu Zhang; Jilin Zhang; Ammar Belatreche; Jibin Wu; Zijing Xu; Xuerui Qiu; Hong Chen 002; Yang Yang 002; Haizhou Li 001 (CoRR, 2024)

SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. - Qiugang Zhan; Jinbo Cao; Xiurui Xie; Malu Zhang; Huajin Tang; Guisong Liu (CoRR, 2024)

Q-SNNs: Quantized Spiking Neural Networks. - Wenjie Wei; Yu Liang; Ammar Belatreche; Yichen Xiao; Honglin Cao; Zhenbang Ren; Guoqing Wang 001; Malu Zhang; Yang Yang 002 (CoRR, 2024)

Ternary Spike-based Neuromorphic Signal Processing System. - Shuai Wang; Dehao Zhang; Ammar Belatreche; Yichen Xiao; Hongyu Qing; Wenjie Wei; Malu Zhang; Yang Yang 002 (CoRR, 2024)

Tensor decomposition based attention module for spiking neural networks. - Haoyu Deng; Rui-Jie Zhu 003; Xuerui Qiu; Yule Duan; Malu Zhang; Liang-Jian Deng (Knowl. Based Syst., 2024)

A two-stage spiking meta-learning method for few-shot classification. - Qiugang Zhan; Bingchao Wang; Anning Jiang; Xiurui Xie; Malu Zhang; Guisong Liu (Knowl. Based Syst., 2024)

QDAP: Downsizing adaptive policy for cooperative multi-agent reinforcement learning. - Zhitong Zhao; Ya Zhang; Siying Wang 002; Fan Zhang 068; Malu Zhang; Wenyu Chen 001 (Knowl. Based Syst., 2024)

Delay learning based on temporal coding in Spiking Neural Networks. - Pengfei Sun; Jibin Wu; Malu Zhang; Paul Devos; Dick Botteldooren (Neural Networks, 2024)

A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks. - Yuchen Wang; Hanwen Liu; Malu Zhang; Xiaoling Luo 001; Hong Qu (Neural Networks, 2024)

Efficient spiking neural network design via neural architecture search. - Jiaqi Yan; Qianhui Liu; Malu Zhang; Lang Feng 002; De Ma; Haizhou Li 001; Gang Pan 001 (Neural Networks, 2024)

Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Ran Tao; Malu Zhang; Huajin Tang (IEEE Trans. Image Process., 2024)

Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays. - Yun Zhang; Yi Chen; Jilun Zhang; Xiaoling Luo 001; Malu Zhang; Hong Qu; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

EEG-Based Auditory Attention Detection With Spiking Graph Convolutional Network. - Siqi Cai 002; Ran Zhang; Malu Zhang; Jibin Wu; Haizhou Li 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding. - Qu Yang; Malu Zhang; Jibin Wu; Kay Chen Tan; Haizhou Li 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Biologically Plausible Sparse Temporal Word Representations. - Yuguo Liu; Wenyu Chen 001; Hanwen Liu; Yun Zhang; Malu Zhang; Hong Qu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Event-Driven Spiking Learning Algorithm Using Aggregated Labels. - Xiurui Xie; Yansong Chua; Guisong Liu; Malu Zhang; Guangchun Luo; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism. - Yu Liang; Wenjie Wei; Ammar Belatreche; Honglin Cao; Zijian Zhou 005; Shuai Wang; Malu Zhang; Yang Yang 002 (AAAI, 2025)

Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning. - Yimeng Shan; Malu Zhang; Ruijie Zhu 003; Xuerui Qiu; Jason K. Eshraghian; Haicheng Qu (AAAI, 2025)

Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing. - Dingyi Zeng; Yuchen Wang; Honglin Cao; Wanlong Liu; Yichen Xiao; Chengzhuo Lu; Wenyu Chen 001; Malu Zhang; Guoqing Wang 001; Yang Yang 002 (AAAI, 2025)

A Compressive Memory-based Retrieval Approach for Event Argument Extraction. - Wanlong Liu; Enqi Zhang; Shaohuan Cheng; Dingyi Zeng; Li Zhou 010; Chen Zhang; Malu Zhang; Wenyu Chen 001 (COLING, 2025)

Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers. - Yichen Xiao; Shuai Wang; Dehao Zhang; Wenjie Wei; Yimeng Shan; Xiaoli Liu; Yulin Jiang; Malu Zhang (CVPR, 2025)

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models. - Wanlong Liu; Yichen Xiao; Dingyi Zeng; Hongyang Zhao; Wenyu Chen 001; Malu Zhang (ICASSP, 2025)

Enhancing Document-Level Relation Extraction through Entity-Pair-Level Interaction Modeling. - Wanlong Liu; Dingyi Zeng; Li Zhou 010; Yichen Xiao; Malu Zhang; Wenyu Chen 001 (ICASSP, 2025)

Decoupled Feature Matching for Few-shot Counting and Localization. - Chao Zhai; Fan Zhang 068; Wenyu Chen 001; Malu Zhang; Fan Li; Xuanting Xie (ICASSP, 2025)

Memory-Free and Parallel Computation for Quantized Spiking Neural Networks. - Dehao Zhang; Shuai Wang; Yichen Xiao; Wenjie Wei; Yimeng Shan; Malu Zhang; Yang Yang 002 (ICASSP, 2025)

Quantized Spike-driven Transformer. - Xuerui Qiu; Malu Zhang; Jieyuan Zhang; Wenjie Wei; Honglin Cao; Junsheng Guo; Rui-Jie Zhu 003; Yimeng Shan; Yang Yang 002; Haizhou Li 001 (ICLR, 2025)

Spiking Vision Transformer with Saccadic Attention. - Shuai Wang; Malu Zhang; Dehao Zhang; Ammar Belatreche; Yichen Xiao; Yu Liang; Yimeng Shan; Qian Sun; Enqi Zhang; Yang Yang (ICLR, 2025)

QP-SNN: Quantized and Pruned Spiking Neural Networks. - Wenjie Wei; Malu Zhang; Zijian Zhou 005; Ammar Belatreche; Yimeng Shan; Yu Liang; Honglin Cao; Jieyuan Zhang; Yang Yang (ICLR, 2025)

Document-level relation extraction with structural encoding and entity-pair-level information interaction. - Wanlong Liu; Yichen Xiao; Shaohuan Cheng; Dingyi Zeng; Li Zhou 010; Weishan Kong; Malu Zhang; Wenyu Chen 001 (Expert Syst. Appl., 2025)

Electroencephalography Decoding with Conditional Identification Generator. - Pengfei Sun; Jorg De Winne; Malu Zhang; Paul Devos; Dick Botteldooren (Int. J. Neural Syst., 2025)

Efficient Automatic Modulation Classification in Nonterrestrial Networks With SNN-Based Transformer. - Dingyi Zeng; Yichen Xiao; Wanlong Liu; Huilin Du; Enqi Zhang; Dehao Zhang; Yuchen Wang; Malu Zhang; Wenyu Chen 001 (IEEE Internet Things J., 2025)

ESTSformer: Efficient spatio-temporal spiking transformer. - Chengzhuo Lu; Huilin Du; Wenjie Wei; Qian Sun; Yuchen Wang; Dingyi Zeng; Wenyu Chen 001; Malu Zhang; Yang Yang 002 (Neural Networks, 2025)

Delayed knowledge transfer: Cross-modal knowledge transfer from delayed stimulus to EEG for continuous attention detection based on spike-represented EEG signals. - Pengfei Sun; Jorg De Winne; Malu Zhang; Paul Devos; Dick Botteldooren (Neural Networks, 2025)

Ternary spike-based neuromorphic signal processing system. - Shuai Wang; Dehao Zhang; Ammar Belatreche; Yichen Xiao; Hongyu Qing; Wenjie Wei; Malu Zhang; Yang Yang (Neural Networks, 2025)

Spiking Neural Networks With Adaptive Membrane Time Constant for Event-Based Tracking. - Jiqing Zhang; Malu Zhang; Yuanchen Wang; Qianhui Liu; Baocai Yin; Haizhou Li 001; Xin Yang 011 (IEEE Trans. Image Process., 2025)

Binary Event-Driven Spiking Transformer. - Honglin Cao; Zijian Zhou 005; Wenjie Wei; Ammar Belatreche; Yu Liang; Dehao Zhang; Malu Zhang; Yang Yang 002; Haizhou Li 001 (CoRR, 2025)

QP-SNN: Quantized and Pruned Spiking Neural Networks. - Wenjie Wei; Malu Zhang; Zijian Zhou 005; Ammar Belatreche; Yimeng Shan; Yu Liang; Honglin Cao; Jieyuan Zhang; Yang Yang 002 (CoRR, 2025)

Spiking Vision Transformer with Saccadic Attention. - Shuai Wang; Malu Zhang; Dehao Zhang; Ammar Belatreche; Yichen Xiao; Yu Liang; Yimeng Shan; Qian Sun; Enqi Zhang; Yang Yang 002 (CoRR, 2025)

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks. - Yimeng Shan; Zhenbang Ren; Haodi Wu; Wenjie Wei; Rui-Jie Zhu 003; Shuai Wang; Dehao Zhang; Yichen Xiao; Jieyuan Zhang; Kexin Shi; Jingzhinan Wang; Jason K. Eshraghian; et al. (CoRR, 2025)

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. - Rui-Jie Zhu 003; Malu Zhang; Qihang Zhao; Haoyu Deng; Yule Duan; Liang-Jian Deng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding. - Malu Zhang; Shuai Wang; Jibin Wu; Wenjie Wei; Dehao Zhang; Zijian Zhou 005; Siying Wang 002; Fan Zhang 068; Yang Yang 002 (IEEE Comput. Intell. Mag., 2025)

What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips. - Renjie Li; Wenjie Wei; Qi Xin; Xiaoli Liu; Sixuan Mao; Erik Ma; Zijian Chen; Malu Zhang; Haizhou Li 001; Zhaoyu Zhang (CoRR, 2025)

Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate. - Pengfei Sun; Jibin Wu; Malu Zhang; Paul Devos; Dick Botteldooren (IEEE Trans. Neural Networks Learn. Syst., 2025)

Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models. - Malu Zhang; Xiaoling Luo 001; Jibin Wu; Ammar Belatreche; Siqi Cai 002; Yang Yang 002; Haizhou Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformer. - Jingya Wang; Xin Deng; Wenjie Wei; Dehao Zhang; Shuai Wang; Qian Sun; Jieyuan Zhang; Hanwen Liu; Ning Xie; Malu Zhang (CoRR, 2025)

A Neurodynamic-Diversity-Based Spiking Network Model for Text Classification. - Yuguo Liu; Wenyu Chen 001; Hanwen Liu; Yun Zhang; Malu Zhang; Hong Qu (IEEE Trans. Cogn. Dev. Syst., 2025)