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ORCIDRui-Jie Zhu 0003
Person information
- affiliation: University of California, Santa Cruz, CA, USA
Other persons with the same name
- Ruijie Zhu (aka: Rui-Jie Zhu) — disambiguation page
- Ruijie Zhu 0001
![[0000-0003-1210-546X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1210-546X")
— Beijing University of Posts and Telecommunications (BUPT), Beijing, China - Ruijie Zhu 0002 — University of Science and Technology of China, Deep Space Exploration Laboratory, Hefei, China
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Journal Articles
- 2024
[j4]Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng:
Tensor decomposition based attention module for spiking neural networks. Knowl. Based Syst. 295: 111780 (2024)- [j3]Rui-Jie Zhu, Skye Gunasekaran, Jason Eshraghian:
Bridging the gap between artificial intelligence and natural intelligence. Nat. Comput. Sci. 4(8): 559-560 (2024) - [j2]Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j1]Xiaodong Feng, Qihang Zhao, Rui-Jie Zhu:
Towards popularity prediction of information cascades via degree distribution and deep neural networks. J. Informetrics 17(3): 101413 (2023)
Conference and Workshop Papers
- 2024
- [c5]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. AAAI 2024: 601-610 - [c4]Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel:
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology. ICASSP 2024: 13256-13260 - 2023
- [c3]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 Kiran 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:
RWKV: Reinventing RNNs for the Transformer Era. EMNLP (Findings) 2023: 14048-14077 - [c2]Xuerui Qiu, Zheng Luan, Zhaorui Wang, Rui-Jie Zhu:
When Spiking Neural Networks Meet Temporal Attention Image Decoding and Adaptive Spiking Neuron. Tiny Papers @ ICLR 2023 - [c1]Zhenyang Zhu, Rui-Jie Zhu, Yunrui Ge, Qihang Zhao:
Uni-Match: A Semantic Unified Model for Query-Product Retrieval. Tiny Papers @ ICLR 2023
Informal and Other Publications
- 2024
- [i18]Shenghai Yuan, Jinfa Huang, Yujun Shi, Yongqi Xu, Ruijie Zhu, Bin Lin, Xinhua Cheng, Li Yuan, Jiebo Luo:
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators. CoRR abs/2404.05014 (2024) - [i17]Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu:
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR abs/2404.05892 (2024) - [i16]Yimeng Shan, Malu Zhang, Rui-Jie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu:
Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning. CoRR abs/2405.13672 (2024) - [i15]Rui-Jie Zhu, Ziqing Wang, Leilani Gilpin, Jason K. Eshraghian:
Autonomous Driving with Spiking Neural Networks. CoRR abs/2405.19687 (2024) - [i14]Rui-Jie Zhu, Yu Zhang, Ethan Sifferman, Tyler Sheaves, Yiqiao Wang, Dustin Richmond, Peng Zhou, Jason K. Eshraghian:
Scalable MatMul-free Language Modeling. CoRR abs/2406.02528 (2024) - [i13]Xuerui Qiu, Zheng Luan, Zhaorui Wang, Rui-Jie Zhu:
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron. CoRR abs/2406.03046 (2024) - [i12]Shenghai Yuan, Jinfa Huang, Yongqi Xu, Yaoyang Liu, Shaofeng Zhang, Yujun Shi, Ruijie Zhu, Xinhua Cheng, Jiebo Luo, Li Yuan:
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation. CoRR abs/2406.18522 (2024) - [i11]Yu Zhang, Songlin Yang, Ruijie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu:
Gated Slot Attention for Efficient Linear-Time Sequence Modeling. CoRR abs/2409.07146 (2024) - [i10]Qichao Ma, Rui-Jie Zhu, Peiye Liu, Renye Yan, Fahong Zhang, Ling Liang, Meng Li, Zhaofei Yu, Zongwei Wang, Yimao Cai, Tiejun Huang:
CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs. CoRR abs/2410.04454 (2024) - 2023
- [i9]Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. CoRR abs/2302.13939 (2023) - [i8]Qihang Zhao, Rui-Jie Zhu, Liu Yang, Yongming He, Bo Zhou, Luo Cheng:
Both Efficiency and Effectiveness! A Large Scale Pre-ranking Framework in Search System. CoRR abs/2304.02434 (2023) - [i7]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:
RWKV: Reinventing RNNs for the Transformer Era. CoRR abs/2305.13048 (2023) - [i6]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks. CoRR abs/2308.06582 (2023) - [i5]Haoyu Deng, Rui-Jie Zhu, Xuerui Qiu, Yule Duan, Malu Zhang, Liang-Jian Deng:
Tensor Decomposition Based Attention Module for Spiking Neural Networks. CoRR abs/2310.14576 (2023) - [i4]Yimeng Shan, Xuerui Qiu, Rui-Jie Zhu, Ruike Li, Meng Wang, Haicheng Qu:
OR Residual Connection Achieving Comparable Accuracy to ADD Residual Connection in Deep Residual Spiking Neural Networks. CoRR abs/2311.06570 (2023) - [i3]Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel:
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology. CoRR abs/2312.01213 (2023) - 2022
- [i2]Cheng Jin, Rui-Jie Zhu, Xiao Wu, Liang-Jian Deng:
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network. CoRR abs/2203.16117 (2022) - [i1]Rui-Jie Zhu, Qihang Zhao, Tianjing Zhang, Haoyu Deng, Yule Duan, Malu Zhang, Liang-Jian Deng:
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks. CoRR abs/2206.10177 (2022)
Coauthor Index
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