Hello! This is Wenjie Weiπ. I am currently a Research Fellow at the National University of Singapore, working with Prof. Haizhou Li. I received my Ph.D. from the University of Electronic Science and Technology of China in June 2026, under the supervision of Prof. Malu Zhang. Prior to this, I obtained my Bachelorβs degree from Zhengzhou University in 2021.
π₯° My research interests include software-hardware co-design, brain-inspired computing, spiking neural networks, and speech intelligence.
- π Software-hardware co-design: model compression, binary neural networks, quantization, pruning, etc.
- π Neuromorphic computing: spiking neural networks, event-driven learning, etc.
- π Speech intelligence: speech processing, and efficient speech models, etc.
βοΈ Contact: wjwei@nus.edu.sg. Please feel free to reach out to me.
π¬ Academic Services
- Journal Reviewer: Expert Systems With Applications, Neural Networks, IEEE TETCI, IEEE TCDS, IEEE TBioCAS, Neurocomputing, Frontiers in Neuroscience, etc.
- Conference Reviewer: NeurIPS, ICLR, ICML, CVPR, AAAI, Δ²CAI, etc.
- Invited Oral Presentation titled βEvent-Driven Learning for Spiking Neural Networksβ, at the 11th IEEE International Conference on CIS-RAM Young Scholars Workshop.
- Core Contributor of the WeChat Official Account named βProgress in Brain-Inspired Intelligenceβ, regularly shares the latest developments in the Brain-Inspired Intelligence field.
π₯ News
- 2026.07: ππ Joined NUS as a Research Fellow.
- 2026.05: π©π»βππ©π»βπ Passed my Ph.D. dissertation defense with all excellent evaluations.
- 2026.05: ππ Four papers are accepted by ICML-2026.
- 2026.04: ππ One paper is accepted by SCIENCE CHINA Information Sciences.
- 2026.03: ππ»ππ» Submitted my Ph.D. dissertation.
- 2026.02: ππ One paper is accepted by CVPR-2026.
- 2026.01: ππ One paper is accepted by ICLR-2026.
- 2026.01: ππ Two papers are accepted by ICASSP-2026.
- 2025.11: ππ Two papers are accepted by AAAI-2026.
- 2025.09: ππ One survey paper about EEG and SNNs is accepted by Neural Networks.
- 2025.09: ππ Three papers are accepted by NeurIPS-2025.
- 2025.09: ππ One survey paper about photonic chips and SNNs is accepted by Nanophotonics.
- 2025.08: ππ One paper is accepted by IEEE Transactions on Evolutionary Computation.
- 2025.07: ππ One paper is accepted by ACM MM-2025.
- 2025.06: ππ One paper is accepted by Neural Networks.
- 2025.05: ππ One paper is accepted by ICML-2025.
- 2025.04: ππ One paper is accepted by IJCAI-2025.
- 2025.02: ππ One paper is accepted by CVPR-2025.
- 2025.01: ππ Two papers are accepted by ICLR-2025.
- 2024.12: ππ One paper is accepted by AAAI-2025.
- 2024.12: ππ Created my personal homepage.
π Publications
Event-driven learning for spiking neural networks
Wenjie Wei, Malu Zhangβ, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li
TP-Spikformer: Token Pruned Spiking Transformer
Wenjie Wei, Xiaolong Zhou, Malu Zhangβ, Ammar Belatreche, Qian Sun, Yimeng Shan, Dehao Zhang, Zijian Zhou, Zeyu Ma, Yang Yang, Haizhou Li
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S2NN: Sub-bit Spiking Neural Networks
Wenjie Wei, Malu Zhangβ, Jieyuan Zhang, Ammar Belatreche, Shuai Wang, Yimeng Shan, Hanwen Liu, Honglin Cao, Guoqing Wang, Yang Yang, Haizhou Li
QP-SNNs: Quantized and Pruned Spiking Neural Networks
Wenjie Wei, Malu Zhangβ, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang
Q-SNNs: Quantized Spiking Neural Networks
Wenjie Wei, Yu Liang, Ammar Belatreche, Yichen Xiao, Honglin Cao, Zhenbang Ren, Guoqing Wang, Malu Zhangβ, Yang Yang
Temporal-coded spiking neural networks with dynamic firing threshold: Learning with event-driven backpropagation
Wenjie Wei, Malu Zhangβ, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen
SmoothSpike: Spiking Transformer with Learnable Hadamard Transformation
Zijian Zhou, Wenjie Weiβ, Yu Liang, Jialin Li, Ammar Belatreche, Honglin Cao, Shuai Wang, Malu Zhang, Yang Yang, Haizhou Li
Temporal-coded Spiking Transformer.
Qian Sun, Chengzhuo Lu, Wenyu Chen, Wenjie Weiβ, Jingya Wang, Jieyuan Zhang, Xiaoli Liu, Yalan Ye, Yang Yang, Malu Zhang
Spiking Neural Networks for EEG Signal Analysis: From Theory to Practice
Siqi Cai, Zheyuan Lin, Xiaoli Liu, Wenjie Weiβ, Shuai Wang, Malu Zhang, Tanja Schultz, Haizhou Li
ESTSformer: Efficient Spatio-Temporal Spiking Transformer.
Chengzhuo Lu, Huilin Du, Wenjie Weiβ, Qian Sun, Yuchen Wang, Dingyi Zeng, Wenyu Chen, Malu Zhang, Yang Yang
π Honors and Awards
- 2025.12: Outstanding Graduate, University of Electronic Science and Technology of China.
- 2025.11: Scholarship of the 14th Research Institute of China Electronics Technology Group Corporation.
- 2025.10: Outstanding Postgraduate Student, University of Electronic Science and Technology of China.
- 2025.08: Best Dataset & Benchmark Award, Δ²CAI2025-SpikeCV Competition: Infinity-WUJI. (Only 1 Team Worldwide)
- 2022.11: Outstanding Student Leader, University of Electronic Science and Technology of China.
- 2021.09: First-Class Scholarship, University of Electronic Science and Technology of China.
- 2021.06: Outstanding Graduate, Zhengzhou University.
- 2019, 2020.11: National Encouragement Scholarship, Zhengzhou University.
- 2018.11: Outstanding Contributor in Social Service, Zhengzhou University.
π Educations
- 2026.07 - now, Research Fellow in the College of Design and Engineering, National University of Singapore. (Supervisor: Haizhou Li)
- 2022.09 - 2026.06, Ph.D. in School of Computer Science and Engineering, University of Electronic Science and Technology of China. (Supervisor: Malu Zhang)
- 2021.09 - 2022.06, M.S. in School of Computer Science and Engineering, University of Electronic Science and Technology of China.
- 2017.09 - 2021.06, B.S. in School of Information Engineering, Zhengzhou University.