Malu Zhang

According to our database, Malu Zhang authored at least 79 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Biologically Plausible Sparse Temporal Word Representations.

Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Malu Zhang, Hong Qu

IEEE Trans. Neural Networks Learn. Syst., November, 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

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

EEG-Based Auditory Attention Detection With Spiking Graph Convolutional Network.

Siqi Cai, Ran Zhang, Malu Zhang, Jibin Wu, Haizhou Li

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

Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays.

Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., May, 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

Efficient spiking neural network design via neural architecture search.

Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan

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, Hong Qu

Neural Networks, 2024

Delay learning based on temporal coding in Spiking Neural Networks.

Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren

Neural Networks, 2024

QDAP: Downsizing adaptive policy for cooperative multi-agent reinforcement learning.

Zhitong Zhao, Ya Zhang, Siying Wang, Fan Zhang, Malu Zhang, Wenyu Chen

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

Tensor decomposition based attention module for spiking neural networks.

Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng

Knowl. Based Syst., 2024

A Compressive Memory-based Retrieval Approach for Event Argument Extraction.

Wanlong Liu, Enqi Zhang, Li Zhou, Dingyi Zeng, Shaohuan Cheng, Chen Zhang, Malu Zhang, Wenyu Chen

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

CoRR, 2024

Q-SNNs: Quantized Spiking Neural Networks.

Wenjie Wei, Yu Liang, Ammar Belatreche, Yichen Xiao, Honglin Cao, Zhenbang Ren, Guoqing Wang, Malu Zhang, Yang Yang

CoRR, 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

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

Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning.

Yimeng Shan, Malu Zhang, Rui-Jie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu

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, Yang Yang, Haizhou Li

CoRR, 2024

CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing.

Xianghu Yue, Xiaohai Tian, Malu Zhang, Zhizheng Wu, Haizhou Li

CoRR, 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

JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement.

Yuhui Wu, Guoqing Wang, Zhiwen Wang, Yang Yang, Tianyu Li, Malu Zhang, Chongyi Li, Heng Tao Shen

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

Q-SNNs: Quantized Spiking Neural Networks.

Wenjie Wei, Yu Liang, Ammar Belatreche, Yichen Xiao, Honglin Cao, Zhenbang Ren, Guoqing Wang, Malu Zhang, Yang Yang

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks.

Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal.

Yeying Jin, Xin Li, Jiadong Wang, Yan Zhang, Malu Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction.

Wanlong Liu, Li Zhou, Dingyi Zeng, Yichen Xiao, Shaohuan Cheng, Chen Zhang, Grandee Lee, Malu Zhang, Wenyu Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators.

Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li

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

Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition.

Jiadong Wang, Zexu Pan, Malu Zhang, Robby T. Tan, Haizhou Li

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

2023

Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.

Xiaoling Luo, Hong Qu, Yuchen Wang, Zhang Yi, Jilun Zhang, Malu Zhang

IEEE Trans. Neural Networks Learn. Syst., December, 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, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2023

DPGNN: Dual-perception graph neural network for representation learning.

Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Malu Zhang, Hong Qu

Knowl. Based Syst., 2023

Bio-inspired Active Learning method in spiking neural network.

Qiugang Zhan, Guisong Liu, Xiurui Xie, Malu Zhang, Guolin Sun

Knowl. Based Syst., 2023

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate.

Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren

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

CoRR, 2023

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling.

Qiugang Zhan, Xiurui Xie, Guisong Liu, Malu Zhang

CoRR, 2023

A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator.

Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu

Proceedings of the International Joint Conference on Neural Networks, 2023

Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks.

Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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, Hong Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert.

Jiadong Wang, Xinyuan Qian, Malu Zhang, Robby T. Tan, Haizhou Li

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

Substructure Aware Graph Neural Networks.

Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu

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

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

IEEE Trans. Neural Networks Learn. Syst., 2022

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks.

Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., 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

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.

Rui-Jie Zhu, Qihang Zhao, Tianjing Zhang, Haoyu Deng, Yule Duan, Malu Zhang, Liang-Jian Deng

CoRR, 2022

Training Spiking Neural Networks with Local Tandem Learning.

Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li

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

Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion.

Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu

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

Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.

Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding.

Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2022

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

IEEE ACM Trans. Audio Speech Lang. Process., 2021

A new recursive least squares-based learning algorithm for spiking neurons.

Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, Yuchen Wang, Malu Zhang, Zefang Li

Neural Networks, 2021

HuRAI: A brain-inspired computational model for human-robot auditory interface.

Jibin Wu, Qi Liu, Malu Zhang, Zihan Pan, Haizhou Li, Kay Chen Tan

Neurocomputing, 2021

GCC-PHAT with Speech-oriented Attention for Robotic Sound Source Localization.

Jiadong Wang, Xinyuan Qian, Zihan Pan, Malu Zhang, Haizhou Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information.

Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing.

Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li

IEEE J. Sel. Top. Signal Process., 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

Neurocomputing, 2020

Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network.

Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li

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, Trevor E. Carlson

CoRR, 2020

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

CoRR, 2020

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

IEEE Trans. Neural Networks Learn. Syst., 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

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition.

Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, 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, Eliathamby Ambikairajah

CoRR, 2019

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks.

Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan

CoRR, 2019

Robust Sound Recognition: A Neuromorphic Approach.

Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Competitive STDP-based Feature Representation Learning for Sound Event Classification.

Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Spiking Neural Network with Spike Count based Learning Rule.

Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li

Proceedings of the International Joint Conference on Neural Networks, 2019

Neural Population Coding for Effective Temporal Classification.

Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua

Proceedings of the International Joint Conference on Neural Networks, 2019

MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons.

Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

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

Deep Learning Modeling for Top-N Recommendation With Interests Exploring.

Wang Zhou, Jianping Li, Malu Zhang, Yazhou Wang, Fadia Shah

IEEE Access, 2018

Botnet Detection based on Fuzzy Association Rules.

Jiazhong Lu, Fengmao Lv, Quan-Hui Liu, Malu Zhang, Xiaosong Zhang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Supervised learning in spiking neural networks with noise-threshold.

Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths

Neurocomputing, 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

ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.

Yongqing Zhang, Yi Chen, Malu Zhang, Xi Wu, Jiliu Zhou, Hong Qu

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network.

Lin Zuo, Linyao Ma, Yanqing Xiao, Malu Zhang, Hong Qu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks.

Lin Zuo, Shan Chen, Hong Qu, Malu Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015

Improved perception-based spiking neuron learning rule for real-time user authentication.

Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu

Neurocomputing, 2015