Malu Zhang

According to our database1, Malu Zhang authored at least 56 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization.
CoRR, 2024

CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing.
CoRR, 2024

2023
Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2023

DPGNN: Dual-perception graph neural network for representation learning.
Knowl. Based Syst., 2023

Bio-inspired Active Learning method in spiking neural network.
Knowl. Based Syst., 2023

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators.
CoRR, 2023

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate.
CoRR, 2023

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding.
CoRR, 2023

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling.
CoRR, 2023

Tensor Decomposition Based Attention Module for Spiking Neural Networks.
CoRR, 2023

Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks.
CoRR, 2023

A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator.
Proceedings of the International Joint Conference on Neural Networks, 2023

Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Substructure Aware Graph Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

When to transfer: a dynamic domain adaptation method for effective knowledge transfer.
Int. J. Mach. Learn. Cybern., 2022

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.
CoRR, 2022

Training Spiking Neural Networks with Local Tandem Learning.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding.
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.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

A new recursive least squares-based learning algorithm for spiking neurons.
Neural Networks, 2021

HuRAI: A brain-inspired computational model for human-robot auditory interface.
Neurocomputing, 2021

GCC-PHAT with Speech-oriented Attention for Robotic Sound Source Localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An end-to-end functional spiking model for sequential feature learning.
Knowl. Based Syst., 2020

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing.
IEEE J. Sel. Top. Signal Process., 2020

Supervised learning in spiking neural networks with synaptic delay-weight plasticity.
Neurocomputing, 2020

Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network.
CoRR, 2020

You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy.
CoRR, 2020

Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks.
CoRR, 2020

2019
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2019

The maximum points-based supervised learning rule for spiking neural networks.
Soft Comput., 2019

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition.
CoRR, 2019

An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks.
CoRR, 2019

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks.
CoRR, 2019

Robust Sound Recognition: A Neuromorphic Approach.
Proceedings of the Interspeech 2019, 2019

Competitive STDP-based Feature Representation Learning for Sound Event Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Spiking Neural Network with Spike Count based Learning Rule.
Proceedings of the International Joint Conference on Neural Networks, 2019

Neural Population Coding for Effective Temporal Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons.
IEEE Trans. Cogn. Dev. Syst., 2018

Feedforward Computational Model for Pattern Recognition with Spiking neurons.
Int. J. Robotics Autom., 2018

Deep Learning Modeling for Top-N Recommendation With Interests Exploring.
IEEE Access, 2018

Botnet Detection based on Fuzzy Association Rules.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Supervised learning in spiking neural networks with noise-threshold.
Neurocomputing, 2017

Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule.
Neurocomputing, 2017

ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network.
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.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015
Improved perception-based spiking neuron learning rule for real-time user authentication.
Neurocomputing, 2015


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