I am a Ph.D. candidate at Peking University, expected to graduate in 2025. My research focuses on spike-based artificial intelligence and spiking neural networks. My mission is to empower spike-based AI and promote the field of artificial intelligence towards a sustainable development path. If you’re interested in my work or have any questions, feel free to reach out to me at djh01998@stu.pku.edu.cn.

My research interest includes machine learning with spiking neural networks and neuromorphic hardware. I have published more than 10 papers at the top international AI conferences (NeurIPS, ICLR, CVPR, AAAI, IJCAI, etc.) with total google scholar citations 660+. I also serve as reviewers for AI conferences (NeurIPS, ICLR, ACMMM, IJCAI, CVPR, ICCV, ECCV) and journals (TPAMI, TNNLS).

🔥 News

2023.07： 🎉🎉 Happy to be granted Academic New Star in 2023 IJCAI Young Elite Symposium.
2023.04： 🎉🎉 Happy to be granted Outstanding Oral Presentation Award in the 5th Academic Forum on Artificial Intelligence of Beijing Univerisities.
2023.02: 🎉🎉 Happy to participant in the project of SpikeCV and received Excellent developer in the Openi open source community.
2022.02: 🎉🎉 Happy to participant in the project of SpikingJelly and received Excellent developer in the Openi open source community.

📝 Publications

🎖 Honors and Awards

2022.02 🎉Excellent developer in Openi open source community.
2023.02 🎉Excellent developer in Openi open source community.
2023.04 🎉Outstanding Oral Presentation Award. The 5th Academic Forum on Artificial Intelligence of Beijing Univerisities.
2023.07 🎉Academic New Star. 2023 IJCAI Youth Elite Academic Conference.

📖 Educations

2020.09 - Now, Ph.D. program. School of Computer Science, Peking University, Beijing.
2016.09 - 2020.06, Undergraduate program. Schoel of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan.

💬 Invited Talks

2022.12, Is end-to-end backpropagation a double-edged sword for spiking neural networks? The 2nd New Year Interdisciplinary Forum on Neural Networks. | [video] (Online)
2023.02, End-to-end Training of Spiking Neural Networks: A Mixed Blessing. University of Leeds. (Online)
2023.04, Robustness-enhanced Spiking Neural Network thourgh Regularized Adversarial Training. The 5th Academic Forum on Artificial Intelligence of Beijing Univerisities. | [video] (Online)
2023.07, Optimal Conversion from Deep Artificial Neural Network to Spiking Neural Network. 2023 IJCAI Young Elite Symposium. Shanghai. (Offline)
2023.10, Framework for the Adversarial Robustness of Spiking Neural Networks. Mohamed Bin Zayed University of Artificial Intelligence. (Offline)

💻 Internships

2019.09 - 2020.05, Research Assistant, Peking University, China.

👣 Album

2023 In Beijing

2023 In Shanghai