Hi! I’m Jiaqi Wang. You can call me Jackie, which sounds like Jiaqi. I’m a third-year Ph.D. student in Computer Science and Technology jointly affiliated with the Harbin Institute of Technology (Shenzhen) (HITSZ) and the Pengcheng Laboratory (PCL), advised by Prof. Zhiguo Zhang and Prof. Zhengyu Ma.
I work on brain-inspired intelligence, spiking neural networks, and neural/speech signal decoding, with representative projects including CET-MAE, S2M-Former, SpikeSCR, and SpikCommander. I also initiated Awesome Spiking Neural Networks and serve as its second contributor.
I received my M.Eng. degree in Control Science and Engineering from Jilin University (JLU), where I worked with Prof. Wanzhong Chen. I obtained my B.Eng. degree in Automation from Northeast Electric Power University (NEEPU) under the supervision of Associate Prof. Xueqiang Shen.
Google Scholar (328 citations) / GitHub (879 stars) / CSDN (402,515 views) / CV
Email: mhwjq1998@gmail.com; WeChat: JackieWang9811. Please feel free to email me. 😊
🔍 Research Interests
My research mainly focuses on:
- Spiking Neural Networks (SNN)
- Temporal & Sequential Modeling
- Brain–Computer Interface (BCI)
- Speech and Language Models
🤝 Call for Collaboration
I am passionate about advancing brain-inspired intelligence and decoding technologies for speech and neural signals (EEG, ECG, EMG).
If you are working on SNNs, BCI decoding, temporal modeling, or efficient neural architectures, I would be very happy to collaborate!
Coming soon: Three more papers are on the way. Stay tuned!
🌟 Featured Projects
SpikCommander
High-performance spiking Transformer for efficient speech command recognition.
S2M-Former
Spiking symmetric mixing Branchformer for brain auditory attention detection.
SpikeSCR
Efficient speech command recognition with spiking neural networks and curriculum distillation.
CET-MAE
Contrastive EEG-text masked autoencoder for transferable EEG-to-text decoding representations.
📝 Publications
AAAI 2026 SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition, Jiaqi Wang, Liutao Yu, Xiongri Shen, Sihang Guo, Chenlin Zhou, Leilei Zhao, Yi Zhong, Zhiguo Zhang*, Zhengyu Ma*
Accepted by AAAI 2026 (Main Track)!
Code: LinkNeurIPS 2025 S²M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection, Jiaqi Wang, Zhengyu Ma*, Xiongri Shen, Chenlin Zhou, Leilei Zhao, Han Zhang, Yi Zhong, Siqi Cai, Zhenxi Song, Zhiguo Zhang*
ArXiv 2025.08 ➡️ Accepted by NeurIPS 2025 (Main Track)!
Code: LinkNeural Networks Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation, Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Min Zhang, Zhengyu Ma*, Zhiguo Zhang*
ArXiv 2024.12 ➡️ Accepted by Neural Networks (2025.10)!
Code: LinkACL 2024 Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder, Jiaqi Wang, Zhenxi Song*, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang*
ArXiv 2024.02 ➡️ Accepted by ACL 2024 (Main Conference)!
Code: LinkBiomedical Signal Processing and Control A multi-classification algorithm based on multi-domain information fusion for motor imagery BCI, Jiaqi Wang, Wanzhong Chen, Mingyang Li*
Biomedical Signal Processing and Control (BSPC) 2023.01CN Invention Patent A human-like robot motion system and control method based on human body posture control, Jiaqi Wang, Wanzhong Chen, Xiao Zheng
Granted Chinese Invention Patent 2022.08
📖 Co-authored Publications
AAAI 2026 Oral Spikingformer: A Key Foundation Model for Spiking Neural Networks, Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang (5th), Zhengyu Ma, Huihui Zhou, Yonghong Tian
Information Fusion 2026 BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction, Xiongri Shen, Jiaqi Wang (2nd), Yi Zhong, Zhenxi Song, Leilei Zhao, Liling Li, Yichen Wei, Lingyan Liang, Shuqiang Wang, Baiying Lei, Demao Deng, Zhiguo Zhang
Information Fusion 2026 Pattern-Aware Diffusion Synthesis of fMRI/dMRI with Tissue and Microstructural Refinement, Xiongri Shen, Jiaqi Wang (2nd), Yi Zhong, Zhenxi Song, Leilei Zhao, Yichen Wei, Lingyan Liang, Shuqiang Wang, Baiying Lei, Demao Deng, Zhiguo Zhang
ACL 2025 Findings BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation, Jilong Li, Zhenxi Song, Jiaqi Wang (3rd), Meishan Zhang, Honghai Liu, Min Zhang, Zhiguo Zhang
MICCAI 2025 Thread the Needle: Genomics-Guided Prompt-Bridged Attention Model for Survival Prediction of Glioma Based on MRI Images, Yi Zhong, Xubin Zheng, Xiongri Shen, Jiaqi Wang (4th), Leilei Zhao, Zhenxi Song, Zhiguo Zhang
ArXiv Winner-Take-All Spiking Transformer for Language Modeling, Chenlin Zhou, Sihang Guo, Jiaqi Wang (3rd), Dongyang Ma, Kaiwei Che, Baiyu Chen, Qingyan Meng, Zhengyu Ma, Yonghong Tian
ArXiv BiSpikCLM: Spiking Large Language Models with Causal Spiking Self-Attention and Spike-Form Knowledge Distillation, Sihang Guo, Chenlin Zhou, Jiaqi Wang (3rd), Kehai Chen, Qingyan Meng, Zhengyu Ma
ArXiv Adaptive Spiking Neurons for Vision and Language Modeling, Chenlin Zhou, Sihang Guo, Jiaqi Wang (3rd), Dongyang Ma, Jin Cheng, Qingyan Meng, Zhengyu Ma, Yonghong Tian
ArXiv Brain-Atlas-Guided Generative Counterfactual Attention for Explainable Cognitive Decline Diagnosis Using Multimodal Connectomes, Xiongri Shen, Jiaqi Wang (2nd), Zhenxi Song, Yi Zhong, Leilei Zhao, Xin He, Baiying Lei, Zhiguo Zhang
ArXiv Temporal-adaptive Weight Quantization for Spiking Neural Networks, Han Zhang, Qingyan Meng, Jiaqi Wang (3rd), Baiyu Chen, Zhengyu Ma, Xiaopeng Fan
🎓 Education
Ph.D. in Computer Science and Technology (Joint Program)
2023 – Present
M.Eng. in Control Science and Engineering
2020 – 2023
B.Eng. in Automation
2016 – 2020
📚 Academic Service
I have experience in reviewing for high-impact AI conferences and journals, including:
Conferences: AAAI 2027; NeurIPS 2026; AAAI 2026; ACL ARR 2026/25 (whole year); ICLR 2026/25; ICME 2026/25; ACM MM 2026/24; ICASSP 2026/23.
Journals: IEEE TCSVT; Neurocomputing; Neuromorphic Computing and Engineering; IEEE TNSRE; IEEE TIM; Biomedical Signal Processing and Control, et al.
🔭 Open Source Projects
🧠 Awesome Spiking Neural Networks (600+ stars)
I initiated and maintain this curated SNN paper/code/resource list as the project’s second contributor. PRs for missing SNN papers are welcome.
🏢 Work Experience
- Ongoing selected industry research experience in large-scale AI systems and real-world product scenarios
- Jun 2022 – Aug 2022, AI Engineer Intern, Huawei ICT (Optic Line), 3D Computer Vision & FTTR
⭐ Awards
- 2026 Invited participant, Xiaohongshu REDstar Top Talent Program Technical Salon
- 2026 Invited participant, Taobao/Taotian Star Program
- 2023 Qianxin Social Scholarship – only four awardees in Jilin University
- 2023 Excellent Master Graduate of Jilin University – Top 6%
- 2022 National Scholarship for Postgraduates – Top 6%
- 2022 2nd Prize of Jilin University Excellent Postgraduate
- 2021 2nd Prize of Jilin University Excellent Postgraduate
- 2021 Excellent Postgraduate of Jilin University – Top 4%
- 2021 3rd Prize of “Huawei Cup” The 18th China Post-Graduate Mathematical Contest in Modeling
- 2021 Postgraduate Scholarship of Jilin University
- 2020 Postgraduate Scholarship of Jilin University
- 2020 Outstanding Graduate of NEEPU
- 2019 First-class Scholarship for Outstanding Students of NEEPU
- 2019 Outstanding Student of NEEPU
These academic and industry experiences keep me close to both frontier research and real-world AI innovation.
📸 Highlights
Here are some moments and highlights of my journey:
