计算机科学与工程学院（网络空间安全学院）
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| 导师代码： |
20675
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| 导师姓名： |
张马路
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| 性 别： |
男 |
| 特 称： |
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| 职 称： |
研究员
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
maluzhang@uestc.edu.cn
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| 学术经历：
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2014年-2019年 电子科技大学 计算机科学与工程学院 博士; 2017年-2019年 新加坡国立大学 国家公派博士生； 2019年-2021年 新加坡国立大学 Research Fellow; 2022年-至今 电子科技大学 研究员、博导。
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| 个人简介：
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研究领域: 类脑计算、深度学习。
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| 科研项目：
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1、GF重点项目，某类脑智能理论研究，2026.03-2028.12，890万，主持。
2、GF重点项目，某人工智能应用研究，2025.01-2026.12，540万，主持。
3、国家自然科学基金（面上），基于脉冲神经网络的多脑区协同类脑模型研究 2026.01-2029.12，50万，主持。
4、国家自然科学基金（青年），基于深度Spiking神经网络的多模态类脑模型研究，2022.01-2024.12，30万，主持。
5、四川省重点研发项目，基于深度Spiking神经网络的类脑智能语音处理研究，2023.01 - 2024.12，30万，主持。
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| 研究成果：
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期刊论文：
[1]Wenjie Wei, Malu Zhang*, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang and Haizhou Li, Event-Driven Learning Spiking Neural Networks, Science China Information Science（中国科学: 信息科学）, 2026. (中科院一区，Top)
[2]Shuai Wang，Haorui Zheng，Yukun Chen，Ammar Belatreche, Malu Zhang*, Yang Yang and Haizhou Li, SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform, IEEE Transactions on Neural Networks and Learning Systems, 2026. (中科院一区，Top)
[3]Zhang, Malu, Xiaoling Luo, Jibin Wu, Ammar Belatreche, Siqi Cai, Yang Yang and Haizhou Li，Towards Building Human-Like Sequential Memory using Brain-Inspired Spiking Neural Models，IEEE Transactions on Neural Networks and Learning Systems, 2025. (中科院一区，
Top)
[4]Zhang, Fan; Zhang, Malu*; Chen, Wenyu; Wang, Siying; Zhang, Xin; Li, Jiayin; Yang, Yang, Inhibiting Error Exacerbation in Offline Reinforcement Learning with Data Sparsity, IEEE Transactions on Neural Networks and Learning Systems, 2025. (中科院一区，Top)
[5]Malu Zhang, Wenjie Wei, Zijian Zhou, Wanlong Liu, Jie Zhang, Ammar Belatreche and Yang Yang, Spike-Driven Lightweight Large Language Model with Evolutionary Computation, IEEE Transactions on Evolutionary Computation, 2025. (中科院一区，Top)
[6]Zhang, Malu, Shuai Wang, Jibin Wu, Wenjie Wei, Dehao Zhang, Zijian Zhou, Siying Wang, Fan Zhang and Yang Yang，Toward Energy-Efficient Spike-Based Deep Reinforcement Learning with Temporal Coding, IEEE Computational Intelligence Magazine, 2025.
[7]Zhang, Jiqing, Malu Zhang*, Yuanchen Wang, Qianhui Liu, Baocai Yin, Haizhou Li and Xin Yang. Spiking Neural Networks with Adaptive Membrane Time Constant for Event-Based Tracking. IEEE Transactions on Image Processing, 2025. (中科院一区，Top)
[8]Zhu, Rui-Jie, Malu Zhang*, Qihang Zhao, Haoyu Deng, Yule Duan and Liang-Jian Deng*. TCJA-SNN: Temporal-channel joint attention for spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems, 2025.(中科院一区，Top)
[9]Pengfei Sun, Jorg De Winne, Malu Zhang*, Paul Devos, Dick Botteldooren, Electroencephalography decoding with conditional identification generator, International Journal of Neural Systems, 2024. (中科院一区，Top)
[10]Xie, Xiurui, Yansong Chua, Guisong Liu*, Malu Zhang*, Guangchun Luo, and Huajin Tang. Event-Driven Spiking Learning Algorithm Using Aggregated Labels[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. (中科院一区，Top)
[11]Luo, Xiaoling, Hong Qu*, Yuchen Wang, Zhang Yi, Jilun Zhang, and Malu Zhang*. Supervised learning in multilayer spiking neural networks with spike temporal error backpropagation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022. (中科院一区，Top)
[12]Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala et al. Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(5): 1947-1958. (中科院一区，Top)
[13]Wu, Jibin, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang*, Haizhou Li, and Kay Chen Tan. Progressive tandem learning for pattern recognition with deep spiking neural networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 44(11): 7824-7840. (中科院一区，Top)
[14]Zhang, Malu, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, and Haizhou Li. An efficient threshold-driven aggregate-label learning algorithm for multimodal information processing[J]. IEEE Journal of Selected Topics in Signal Processing, 2020, 14(3): 592-602. (中科院一区，Top)
[15]Zhang, Malu, Hong Qu, Ammar Belatreche, Yi Chen, and Zhang Yi. A highly effective and robust membrane potential-driven supervised learning method for spiking neurons[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(1): 123-137. (中科院一区，Top)
会议论文：
[1]Dehao Zhang, Fukai Guo, Shuai Wang, Jingya Wang, Jieyuan Zhang, Yimeng Shan, Malu Zhang*, Yang Yang, Haizhou Li, Neural Dynamics Self-Attention for Spiking Transformers, International Conference on Learning Representations, 2026. (ICLR-2026) (CCF-A)
[2]Shuai Wang, Malu Zhang*, Yulin Jiang, Dehao Zhang, Ammar Belatreche, Yu Liang, Yimeng Shan, Zijian Zhou, Yang Yang, Haizhou Li, Robust Spiking Neural Networks Against Adversarial Attacks, International Conference on Learning Representations, 2026. (ICLR-2026) (CCF-A)
[3]Wenjie Wei, Xiaolong Zhou, Malu Zhang*, Ammar Belatreche, Qian Sun, Yimeng Shan, Dehao Zhang, Zijian Zhou, Zeyu Ma, Yang Yang, Haizhou Li, TP-Spikformer: Token Pruned Spiking Transformer, International Conference on Learning Representations, 2026. (ICLR-2026) (CCF-A)
[4]Zijian Zhou, Honglin Cao, Ammar Belatreche, Wenjie Wei, Yimeng Shan, Yu Liang, Yu Yang, Shuai Wang, Yalan Ye, Malu Zhang*, Yang Yang, Haizhou Li, AdaS: Adaptive Gradient Descent for Spiking Transformers, Proceedings of the 43rd International Conference on Machine Learning, 2026. (ICML-2026) (CCF-A)
[5]Yu-Jie Liang, Zihan Cao, Liang-Jian Deng*, Yang Yang, Malu Zhang*, Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism, Proceedings of the 43rd International Conference on Machine Learning, 2026. (ICML-2026)(CCF-A)
[6]Zijian Zhou, Yu Liang, Honglin Cao, Ammar Belatreche, Jieyuan Zhang, Wenjie Wei, Shuai Wang, Malu Zhang*, Yang Yang, Haizhou Li, Positional Encoding for Spiking Transformers, Proceedings of the 43rd International Conference on Machine Learning, 2026. (ICML-2026) (CCF-A)
[7]Yimeng Shan, Zhenbang Ren, Haodi Wu, Wenjie Wei, Rui-Jie Zhu, Shuai Wang, Dehao Zhang, Yichen Xiao, Jieyuan Zhang, Kexin Shi, Jingzhinan Wang, Jason K. Eshraghian, Haicheng Qu, Malu Zhang*, SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026. (CVPR-2026, Oral Paper) (CCF-A)
[8]Zhang Dehao, Malu Zhang*, Shuai Wang, Jingya Wang, Wenjie Wei, Zeyu Ma, Guoqing Wang, Yang Yang, Haizhou Li,Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling, 39th Conference on Neural Information Processing Systems (NeurIPS 2025). (CCF-A)
[9]Wenjie Wei, Malu Zhang*, Jieyuan Zhang, Ammar Belatreche, Shuai Wang, Yimeng Shan, Hanwen Liu, Honglin Cao, Guoqing Wang, Yang Yang, Haizhou Li, S2NN: Sub-bit Spiking Neural Networks, 39th Conference on Neural Information Processing Systems (NeurIPS 2025). (CCF-A)
[10]Wang, Shuai, Malu Zhang, Jingya Wang, Dehao Zhang, Yimeng Shan, Jieyuan Zhang, Yichen Xiao, Honglin Cao, Haonan Zhang, Zeyu Ma, Yang Yang, Haizhou Li, Bipolar Self-attention for Spiking Transformers. 39th Conference on Neural Information Processing Systems (NeurIPS 2025, Spotlight Paper). (CCF-A)
[11]Jieyuan Zhang, Xiaolong Zhou, Wenjie Wei, Hanwen Liu, Qian Sun, Shuai Wang, Malu Zhang, Yang Yang, Haizhou Li,Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks, 39th Conference on Neural Information Processing Systems (NeurIPS 2025). (CCF-A)
[12]Xiao Yichen,Wang Shuai, Zhang Dehao, Wei Wenjie, Shan Yimeng, Liu Xiaoli, Jiang Yulin and Zhang Malu*, Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers, Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR-2025,Oral Paper) (CCF-A)
[13]Liang Yu, Yang Yu, Wei Wenjie, Belatreche Ammar, Wang Shuai, Malu Zhang* and Yang, Yang. BSO: Binary Spiking Online Optimization Algorithm. Forty-second International Conference on Machine Learning, 2025. (ICML-2025) (CCF-A)
[14]Qiu, Xuerui, Malu Zhang*, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang and Haizhou Li. Quantized Spike-driven Transformer. International Conference on Learning Representations, 2025. (ICLR-2025) (CCF-A)
[15]Wei, Wenjie, Malu Zhang*, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang and Haizhou Li. QP-SNN: Quantized and Pruned Spiking Neural Networks. International Conference on Learning Representations, 2025. (ICLR-2025) (CCF-A)
[16]Wang, Shuai, Malu Zhang*, Dehao Zhang, Ammar Belatreche, Yichen Xiao, Yu Liang, Yimeng Shan, Qian Sun, Enqi Zhang, and Yang Yang. Spiking Vision Transformer with Saccadic Attention. International Conference on Learning Representations, 2025. (ICLR-2025) (CCF-A)
[17]Liang, Yu, Wenjie Wei, Ammar Belatreche, Honglin Cao, Zijian Zhou, Shuai Wang, Malu Zhang*, Yang Yang. Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism. Proceedings of the AAAI conference on artificial intelligence, 2025. (AAAI-2025,Oral paper) (CCF-A)
[18]Zhang, Dehao, Shuai Wang, Ammar Belatreche, Wenjie Wei, Yichen Xiao, Haorui Zheng, Zijian Zhou, Malu Zhang* and Yang Yang. Spike-based Neuromorphic Model for Sound Source Localization. The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024. (NeurIPS-2024) (CCF-A)
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 081200计算机科学与技术 |
01计算理论，02机器智能与模式识别，06云计算与大数据处理 |
博士学术学位 |
| 085400电子信息 |
01“计算机科学与技术”研究组，03“计算机科学与技术”研究组（非全） |
博士专业学位 |
| 081200计算机科学与技术 |
01计算理论，02机器智能与模式识别，06云计算与大数据处理 |
硕士学术学位 |
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