About me

I am a PH.D candidate at the College of Computer Science and Technology, CCNT Lab, Zhejiang University, supervised by Prof. Huajin Tang. My research interest includes spiking neural network, sparse representation, and efficient neuromorphic computing. Additionally, I am interested in bio-based and bio-inspired reinforcement learning. Please contact me at zi_ming_wang@zju.edu.cn or zi_ming_wang@outlook.com if you are interested in my research.

🔥 News

• 2024.07:  🎉🎉 One paper is accepted by European Conference on Computer Vision (ECCV 2024).
• 2024.06:  🎉🎉 Built this personal page, thanks to the page template from Ren Yi.

📝 Publications

• Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang. EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks, European Conference on Computer Vision (ECCV), 2024.

• Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang. Adaptive Smoothing Gradient Learning for Spiking Neural Networks, International Conference on Machine Learning (ICML), 2023

• Ziming Wang, Yuhao Zhang, Shuang Lian, Xiaoxin Cui, Rui Yan, Huajin Tang. Toward High-accuracy and Low-latency Spiking Neural Networks with Dual Phase Optimization, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

• Lang Qin$^*$, Ziming Wang$^*$ , Rui Yan, and Huajin Tang. Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (* denotes co-first author)

• Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang. Learnable Surrogate Gradient for Direct Training Spiking Neural Networks, International Joint Conference on Artificial Intelligence (IJCAI), 2023.

• Mengwen, Yuan, Chengjun Zhang, Ziming Wang, Huixiang Liu, Gang Pan, Huajin Tang. Trainable Spiking-YOLO for low-latency and high-performance object detection. Neural Networks, 2024.

🎖 Honors and Awards

• ICML 2022 Outstanding Reviewer
• Graduate of Merit/Triple A Performance, Zhejiang University
• Outstanding Graduate Student of CCNT, Zhejiang University
• Second place in the Intel Neuromorphic Deep Noise Suppression Challenge
• First Prize in the Ninth Chinese Mathematics Competitions (Sichuan Province)
• Silver Award in the Eleventh ACM International Collegiate Programming Contest (Sichuan Province)

💬 Academic Service

Reviewer for:

• Neural Networks, NN
• International Conference on Machine Learning, ICML
• International Conference on Learning Representations, ICLR
• IEEE Transactions on Cognitive and Developmental Systems, TCDS
• IEEE Transactions on Neural Networks and Learning Systems, TNNLS
• Association for the Advancement of Artificial Intelligence, AAAI
• IEEE Transactions on Emerging Topics in Computational Intelligence, TETCI

📖 Educations

• 2020.06 - 2024.6 (now), PhD Candidate, College of Computer Science, Zhejiang University, Hangzhou.
• 2016.09 - 2020.06, Undergraduate, the Everest Class of Computer Science, Sichuan Univeristy, Chengdu.

💻 Internships

• 2022.07 – 2024.06 Liangzhu Laboratory, Hangzhou, PRC. Research Intern（Brain-inspired Perception）
• 2020.06 – 2020.09 Zhejiang Laboratory, Hangzhou, PRC. Research Intern（Neuromorphic Algorithm）