Rui-Jie Zhu

According to our database, Rui-Jie Zhu authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks.

Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards popularity prediction of information cascades via degree distribution and deep neural networks.

Xiaodong Feng, Qihang Zhao, Rui-Jie Zhu

J. Informetrics, August, 2023

Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology.

Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel

CoRR, 2023

OR Residual Connection Achieving Comparable Accuracy to ADD Residual Connection in Deep Residual Spiking Neural Networks.

Yimeng Shan, Xuerui Qiu, Rui-Jie Zhu, Ruike Li, Meng Wang, Haicheng Qu

CoRR, 2023

Tensor Decomposition Based Attention Module for Spiking Neural Networks.

Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng

CoRR, 2023

RWKV: Reinventing RNNs for the Transformer Era.

Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Huanqi Cao, Xin Cheng, Michael Chung, Matteo Grella, Kranthi Kiran G. V., Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Xiangru Tang, Bolun Wang, Johan S. Wind, Stanislaw Wozniak, Ruichong Zhang, Zhenyuan Zhang, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu

CoRR, 2023

Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System.

Qihang Zhao, Rui-Jie Zhu, Liu Yang, Yongming He, Bo Zhou, Luo Cheng

CoRR, 2023

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.

Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian

CoRR, 2023

Uni-Match: A Semantic Unified Model for Query-Product Retrieval.

Zhenyang Zhu, Rui-Jie Zhu, Yunrui Ge, Qihang Zhao

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

When Spiking Neural Networks Meet Temporal Attention Image Decoding and Adaptive Spiking Neuron.

Xuerui Qiu, Zheng Luan, Zhaorui Wang, Rui-Jie Zhu

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

RWKV: Reinventing RNNs for the Transformer Era.

Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Gv, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.

Rui-Jie Zhu, Qihang Zhao, Tianjing Zhang, Haoyu Deng, Yule Duan, Malu Zhang, Liang-Jian Deng

CoRR, 2022

SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network.

Cheng Jin, Rui-Jie Zhu, Xiao Wu, Liang-Jian Deng

CoRR, 2022