教育经历（按时间倒序）：

• 2017-2019：新加坡国立大学  电子与计算机工程（国家公派联合培养）
• 2014-2019：电子科技大学 计算机科学与技术 博士（全日制）

工作经历（按时间倒序）：

• 2022-至今：电子科技大学计算机科学与工程学院 研究员、博导
• 2019-2021：新加坡国立大学 Research Fellow

深圳河套学院双聘教授、博士生导师，长期致力于类脑智能领域的基础理论与关键技术研究。近五年来，在类脑感知-学习-模型等方面取得了系列研究成果，已在国际权威期刊和顶级会议上发表学术论文100余篇，其中以第一/通讯作者身份发表中科院一区期刊和CCF-A类会议论文40篇，包括IEEE TPAMI、5篇NeurIPS、3篇ICLR 和7篇IEEE TNNLS等。多篇论文入选AAAI Oral（录用率4.6%）、CVPR Oral（录用率0.7%）及NeurIPS Spotlight（录用率3.2%）。研究成果受到Wulfram Gerstner教授、中国科学院乔红院士、欧洲科学院金耀初院士及多位IEEE Fellow的积极评价和引用。目前担任《IEEE Transactions on Emerging Topics in Computational Intelligence》与《IEEE Transactions on Cognitive and Developmental Systems》两个学术期刊副主编，并担任ICLR 2026等顶级会议的领域主席。在科研项目方面，主持军口重点项目（经费540万元）、国家自然科学基金面上项目、国家自然科学基金青年项目、四川省重点研发计划项目、中国博士后科学基金一等资助（全国仅4人）、海康威视斑头雁基金、之江实验室国际青年人才基金等。作为骨干成员参与科技部重大专项、国家自然科学基金重点项目等国家级项目5项，申请中国技术发明专利5项。此外，申请人于2024年至2025年借调至国家发展和改革委员会，为推动我国人工智能的发展积极贡献自己的力量。

[1] 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. (SCI 1区，DOI: 10.1109/TPAMI.2021.3114196)

[2] 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). DOI: 10.1109/CVPR52734.2025.00512.

[3] 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).

[4] 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). DOI: https://doi.org/10.48550/arXiv.2509.24266

[5] 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). DOI: https://doi.org/10.48550/arXiv.2509.17186

[6] 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). DOI: https://doi.org/10.48550/arXiv.2510.21403

[7] 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 (NeurIPS-2024).

[8] 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 (ICML-2025). DOI: https://doi.org/10.48550/arXiv.2511.12502

[9] 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 (ICLR-2025). DOI: https://doi.org/10.48550/arXiv.2501.13492

[10] 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 (ICLR-2025). DOI: https://doi.org/10.48550/arXiv.2502.12677

[11] 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 (ICLR-2025). DOI: https://doi.org/10.48550/arXiv.2502.05905

[12] 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. (SCI 1区，DOI: 10.1109/TIP.2025.3533213)

[13] 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. (SCI 1区，DOI: 10.1109/TNNLS.2025.3622893)

[14] 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. (SCI 1区，DOI: 10.1109/TNNLS.2025.3543673)

[15] 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, 2024. (SCI 1区，DOI: 10.1109/TNNLS.2024.3377717)

[16] Xie, Xiurui, Yansong Chua, Guisong Liu, Malu Zhang, Guangchun Luo, and Huajin Tang. Event-Driven Spiking Learning Algorithm Using Aggregated Labels. IEEE Transactions on Neural Networks and Learning Systems, 2023. (SCI 1区，DOI: 10.1109/TNNLS.2023.3306749)

[17] 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. IEEE Transactions on Neural Networks and Learning Systems, 2022. (SCI 1区，DOI: 10.1109/TNNLS.2022.3164930)

[18] 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. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(5): 1947–1958. (SCI 1区，DOI: 10.1109/TNNLS.2021.3110991)

[19] 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. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(1): 123–137. (SCI 1区，DOI: 10.1109/TNNLS.2018.2833077)

[20] 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. (SCI 1区，DOI: 10.1109/TEVC.2025.3606613)