Rui-Jie Zhu
Biography
Hi! This is Rui-Jie (Ridger). I am currently a Ph.D. student in Electrical and Computer Engineering at UC Santa Cruz, having started in the Fall of 2023, with Jason K. Eshraghian as my supervisor. I obtained my Bachelor’s Degree from the University of Electronic Science and Technology of China in 2023. Throughout my undergraduate studies, I was deeply involved in several open-source neuromorphic projects, including notable ones like snnTorch and SpikingJelly. My interests extend beyond neuromorphic projects; I am deeply fascinated by large language models and had the privilege to be one of the authors of the RWKV large language model. In 2020, I took on the role of Chair for the Students Open-Source Conference (sosconf), a significant event that saw participation from over 3,000 attendees online. My main research interest lies in pushing the boundaries of large-scale spiking neural networks. Beyond the world of academia, I have a passion for filmmaking and hiking.
Recent News
- Dec. 2023 - Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology accepted by 2024 International Conference on Acoustics, Speech and Signal Processing (ICASSP)! [paper]
- Dec. 2023 - Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks accepted by the 38th Annual AAAI Conference on Artificial Intelligence! [paper]
- Oct. 2023 - RWKV: Reinventing RNNs for the Transformer Era accepted by 2023 EMNLP Findings! [paper][code]
- Aug. 2023 - Towards popularity prediction of information cascades via degree distribution and deep neural networks accepted by Journal of Informetrics! [paper][code]
- May. 2023 - Invited to give a talk at the Intel Neuromorphic Research Community! [link]
- Apr. 2023 - When Spiking Neural Networks Meet Temporal Attention Image Decoding and Adaptive Spiking Neuron accepted by ICLR 2023 tiny paper track! [paper][code]
- Apr. 2023 - Uni-Match: A Semantic Unified Model for Query-Product Retrieval accepted by ICLR 2023 tiny paper track! [paper]
- Mar. 2023 - VTSNN: a virtual temporal spiking neural network accepted by Frontiers in Neuroscience! : [paper][code]
Experiences
- Sept.2019 - July.2023, Undergradute, University of Electronic Science and Technology of China
- July.2023 - Now, Ph.D. student, UC Santa Cruz
Professional Services
Membership
IEEE Graduate Student Member
Reviewer
2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
2022/2024 European Conference on Computer Vision (ECCV)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
IEEE Transactions on Emerging Topics in Computational Intelligence
IEEE Transactions on Cognitive and Developmental Systems