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2020 – today
- 2024
[j29]Xiurui Xie
, Jingxuan Feng, Guisong Liu, Qiugang Zhan, Zhetong Liu, Malu Zhang:
Federated learning for spiking neural networks by hint-layer knowledge distillation. Appl. Soft Comput. 163: 111901 (2024)- [j28]Qiugang Zhan, Bingchao Wang, Anning Jiang, Xiurui Xie, Malu Zhang, Guisong Liu:
A two-stage spiking meta-learning method for few-shot classification. Knowl. Based Syst. 284: 111220 (2024) - [j27]Zhitong Zhao, Ya Zhang, Siying Wang, Fan Zhang, Malu Zhang, Wenyu Chen:
QDAP: Downsizing adaptive policy for cooperative multi-agent reinforcement learning. Knowl. Based Syst. 294: 111719 (2024) - [j26]Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng:
Tensor decomposition based attention module for spiking neural networks. Knowl. Based Syst. 295: 111780 (2024) - [j25]Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan:
Efficient spiking neural network design via neural architecture search. Neural Networks 173: 106172 (2024) - [j24]Yuchen Wang, Hanwen Liu, Malu Zhang, Xiaoling Luo, Hong Qu:
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks. Neural Networks 174: 106244 (2024) - [j23]Qiugang Zhan, Guisong Liu, Xiurui Xie, Ran Tao, Malu Zhang, Huajin Tang:
Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. IEEE Trans. Image Process. 33: 4274-4287 (2024) - [j22]Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Zhang Yi:
Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7072-7086 (2024) - [c24]Jiadong Wang, Zexu Pan, Malu Zhang, Robby T. Tan, Haizhou Li:
Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition. AAAI 2024: 19144-19152 - [c23]Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li:
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators. AAAI 2024: 19515-19524 - [c22]Wanlong Liu, Li Zhou, Dingyi Zeng, Yichen Xiao, Shaohuan Cheng, Chen Zhang, Grandee Lee, Malu Zhang, Wenyu Chen:
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction. ACL (Findings) 2024: 9470-9487 - [c21]Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li:
Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. ICASSP 2024: 226-230 - [i27]Xianghu Yue, Xiaohai Tian, Malu Zhang, Zhizheng Wu, Haizhou Li:
CoAVT: A Cognition-Inspired Unified Audio-Visual-Text Pre-Training Model for Multimodal Processing. CoRR abs/2401.12264 (2024) - [i26]Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li:
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. CoRR abs/2401.14652 (2024) - [i25]Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li:
Event-Driven Learning for Spiking Neural Networks. CoRR abs/2403.00270 (2024) - [i24]Wanlong Liu, Li Zhou, Dingyi Zeng, Yichen Xiao, Shaohuan Cheng, Chen Zhang, Grandee Lee, Malu Zhang, Wenyu Chen:
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction. CoRR abs/2405.01884 (2024) - [i23]Yimeng Shan, Malu Zhang, Rui-Jie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu:
Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning. CoRR abs/2405.13672 (2024) - [i22]Qiugang Zhan, Jinbo Cao, Xiurui Xie, Malu Zhang, Huajin Tang, Guisong Liu:
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. CoRR abs/2406.12200 (2024) - [i21]Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang:
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. CoRR abs/2406.13179 (2024) - [i20]Wenjie Wei, Yu Liang, Ammar Belatreche, Yichen Xiao, Honglin Cao, Zhenbang Ren, Guoqing Wang, Malu Zhang, Yang Yang:
Q-SNNs: Quantized Spiking Neural Networks. CoRR abs/2406.13672 (2024) - [i19]Shuai Wang, Dehao Zhang, Ammar Belatreche, Yichen Xiao, Hongyu Qing, Wenjie Wei, Malu Zhang, Yang Yang:
Ternary Spike-based Neuromorphic Signal Processing System. CoRR abs/2407.05310 (2024) - [i18]Yeying Jin, Xin Li, Jiadong Wang, Yan Zhang, Malu Zhang:
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal. CoRR abs/2407.16957 (2024) - 2023
- [j21]Qiugang Zhan, Guisong Liu, Xiurui Xie, Malu Zhang, Guolin Sun:
Bio-inspired Active Learning method in spiking neural network. Knowl. Based Syst. 261: 110193 (2023) - [j20]Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Malu Zhang, Hong Qu:
DPGNN: Dual-perception graph neural network for representation learning. Knowl. Based Syst. 268: 110377 (2023) - [j19]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(1): 446-460 (2023) - [j18]Xiaoling Luo, Hong Qu, Yuchen Wang, Zhang Yi, Jilun Zhang, Malu Zhang:
Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10141-10153 (2023) - [c20]Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu:
Substructure Aware Graph Neural Networks. AAAI 2023: 11129-11137 - [c19]Jiadong Wang, Xinyuan Qian, Malu Zhang, Robby T. Tan, Haizhou Li:
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert. CVPR 2023: 14653-14662 - [c18]Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen:
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. ICCV 2023: 10518-10528 - [c17]Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu:
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. IJCAI 2023: 3085-3093 - [c16]Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu:
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. IJCNN 2023: 1-8 - [i17]Jiadong Wang, Xinyuan Qian, Malu Zhang, Robby T. Tan, Haizhou Li:
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert. CoRR abs/2303.17480 (2023) - [i16]Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li:
Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks. CoRR abs/2309.09469 (2023) - [i15]Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng:
Tensor Decomposition Based Attention Module for Spiking Neural Networks. CoRR abs/2310.14576 (2023) - [i14]Qiugang Zhan, Xiurui Xie, Guisong Liu, Malu Zhang:
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling. CoRR abs/2310.14839 (2023) - [i13]Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li:
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. CoRR abs/2310.14978 (2023) - [i12]Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren:
Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. CoRR abs/2310.14982 (2023) - [i11]Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li:
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators. CoRR abs/2312.15407 (2023) - 2022
- [j17]Xiurui Xie, Qing Cai, Hongjie Zhang, Malu Zhang, Zeheng Yang, Guisong Liu:
When to transfer: a dynamic domain adaptation method for effective knowledge transfer. Int. J. Mach. Learn. Cybern. 13(11): 3491-3508 (2022) - [j16]Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan:
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7824-7840 (2022) - [j15]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:
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1947-1958 (2022) - [c15]Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li:
A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. ICASSP 2022: 8942-8946 - [c14]Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu:
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. ICONIP (4) 2022: 153-164 - [c13]Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu:
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion. IJCAI 2022: 2501-2508 - [c12]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS 2022 - [i10]Rui-Jie Zhu, Qihang Zhao, Tianjing Zhang, Haoyu Deng, Yule Duan, Malu Zhang, Liang-Jian Deng:
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. CoRR abs/2206.10177 (2022) - [i9]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. CoRR abs/2210.04532 (2022) - 2021
- [j14]Jibin Wu, Qi Liu, Malu Zhang, Zihan Pan, Haizhou Li, Kay Chen Tan:
HuRAI: A brain-inspired computational model for human-robot auditory interface. Neurocomputing 465: 103-113 (2021) - [j13]Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, Yuchen Wang, Malu Zhang, Zefang Li:
A new recursive least squares-based learning algorithm for spiking neurons. Neural Networks 138: 110-125 (2021) - [j12]Zihan Pan, Malu Zhang, Jibin Wu, Jiadong Wang, Haizhou Li:
Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization With Spiking Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2656-2670 (2021) - [c11]Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang:
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. AAAI 2021: 7073-7080 - [c10]Jiadong Wang, Xinyuan Qian, Zihan Pan, Malu Zhang, Haizhou Li:
GCC-PHAT with Speech-oriented Attention for Robotic Sound Source Localization. ICRA 2021: 5876-5883 - 2020
- [j11]Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li:
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409: 103-118 (2020) - [j10]Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li:
An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. IEEE J. Sel. Top. Signal Process. 14(3): 592-602 (2020) - [j9]Xiurui Xie, Guisong Liu, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu:
An end-to-end functional spiking model for sequential feature learning. Knowl. Based Syst. 195: 105643 (2020) - [i8]Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li:
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. CoRR abs/2003.11837 (2020) - [i7]Srivatsa P, Kyle Timothy Ng Chu, Yaswanth Tavva, Jibin Wu, Malu Zhang, Haizhou Li, Trevor E. Carlson:
You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy. CoRR abs/2006.09982 (2020) - [i6]Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li:
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network. CoRR abs/2007.03274 (2020)
2010 – 2019
- 2019
- [j8]Xiurui Xie, Guisong Liu, Qing Cai, Hong Qu, Malu Zhang:
The maximum points-based supervised learning rule for spiking neural networks. Soft Comput. 23(20): 10187-10198 (2019) - [j7]Malu Zhang, Hong Qu, Ammar Belatreche, Yi Chen, Zhang Yi:
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 30(1): 123-137 (2019) - [c9]Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li:
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. AAAI 2019: 1327-1334 - [c8]Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Neural Population Coding for Effective Temporal Classification. IJCNN 2019: 1-8 - [c7]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN 2019: 1-6 - [c6]Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Competitive STDP-based Feature Representation Learning for Sound Event Classification. IJCNN 2019: 1-8 - [c5]Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li:
Robust Sound Recognition: A Neuromorphic Approach. INTERSPEECH 2019: 3667-3668 - [i5]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR abs/1902.05705 (2019) - [i4]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR abs/1907.01167 (2019) - [i3]Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah:
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. CoRR abs/1909.01302 (2019) - [i2]Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li:
Neural Population Coding for Effective Temporal Classification. CoRR abs/1909.08018 (2019) - [i1]Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan:
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. CoRR abs/1911.08373 (2019) - 2018
- [j6]Wang Zhou, Jianping Li, Malu Zhang, Yazhou Wang, Fadia Shah:
Deep Learning Modeling for Top-N Recommendation With Interests Exploring. IEEE Access 6: 51440-51455 (2018) - [j5]Malu Zhang, Hong Qu, Jianping Li, Ammar Belatreche, Xiurui Xie, Zhi Zeng:
Feedforward Computational Model for Pattern Recognition with Spiking neurons. Int. J. Robotics Autom. 33(1) (2018) - [j4]Malu Zhang, Hong Qu, Ammar Belatreche, Xiurui Xie:
EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons. IEEE Trans. Cogn. Dev. Syst. 10(2): 151-162 (2018) - [c4]Jiazhong Lu, Fengmao Lv, Quan-Hui Liu, Malu Zhang, Xiaosong Zhang:
Botnet Detection based on Fuzzy Association Rules. ICPR 2018: 578-584 - 2017
- [j3]Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths:
Supervised learning in spiking neural networks with noise-threshold. Neurocomputing 219: 333-349 (2017) - [j2]Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang:
Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. Neurocomputing 241: 152-163 (2017) - [c3]Lin Zuo, Shan Chen, Hong Qu, Malu Zhang:
A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks. ICONIP (3) 2017: 797-804 - [c2]Lin Zuo, Linyao Ma, Yanqing Xiao, Malu Zhang, Hong Qu:
A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network. ICONIP (3) 2017: 816-824 - [c1]Yongqing Zhang, Yi Chen, Malu Zhang, Xi Wu, Jiliu Zhou, Hong Qu:
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks. SSCI 2017: 1-6 - 2015
- [j1]Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu:
Improved perception-based spiking neuron learning rule for real-time user authentication. Neurocomputing 151: 310-318 (2015)
Coauthor Index
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last updated on 2024-08-28 22:34 CEST by the dblp team
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