RWKV: Reinventing RNNs for the Transformer Era B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, H Cao, X Cheng, ... EMNLP 2023 Findings, 2023 | 361* | 2023 |
SpikeGPT: Generative pre-trained language model with spiking neural networks RJ Zhu, Q Zhao, G Li, JK Eshraghian Transactions on Machine Learning Research (TMLR), 2024 | 86 | 2024 |
TCJA-SNN: Temporal-channel joint attention for spiking neural networks RJ Zhu, M Zhang, Q Zhao, H Deng, Y Duan, LJ Deng IEEE Transactions on Neural Networks and Learning Systems, 2022 | 43 | 2022 |
Eagle and finch: RWKV with matrix-valued states and dynamic recurrence B Peng, D Goldstein, Q Anthony, A Albalak, E Alcaide, S Biderman, ... COLM 2024, 2024 | 16 | 2024 |
Gated attention coding for training high-performance and efficient spiking neural networks X Qiu, RJ Zhu, Y Chou, Z Wang, L Deng, G Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 601-610, 2024 | 15 | 2024 |
VTSNN: A Virtual Temporal Spiking Neural Network X Qiu, Z Wang, Z Luan, RJ Zhu, X Wu, M Zhang, LJ Deng Frontiers in Neuroscience 17, 838, 2023 | 9 | 2023 |
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators S Yuan, J Huang, Y Shi, Y Xu, R Zhu, B Lin, X Cheng, L Yuan, J Luo arXiv preprint arXiv:2404.05014, 2024 | 8 | 2024 |
Tensor decomposition based attention module for spiking neural networks H Deng, R Zhu, X Qiu, Y Duan, M Zhang, LJ Deng Knowledge-Based Systems 295, 111780, 2024 | 6 | 2024 |
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network C Jin, RJ Zhu, X Wu, LJ Deng arXiv preprint arXiv:2203.16117, 2022 | 6 | 2022 |
Optically Tunable Electrical Oscillations in Oxide‐Based Memristors for Neuromorphic Computing SK Nath, SK Das, SK Nandi, C Xi, CV Marquez, A Rúa, M Uenuma, ... Advanced Materials, 2400904, 2024 | 5 | 2024 |
When Spiking Neural Networks Meet Temporal Attention Image Decoding and Adaptive Spiking Neuron X Qiu, Z Luan, Z Wang, RJ Zhu The Eleventh International Conference on Learning Representations (ICLR …, 2023 | 4 | 2023 |
Scalable MatMul-free Language Modeling RJ Zhu, Y Zhang, E Sifferman, T Sheaves, Y Wang, D Richmond, P Zhou, ... arXiv preprint arXiv:2406.02528, 2024 | 3 | 2024 |
OR Residual Connection Achieving Comparable Accuracy to ADD Residual Connection in Deep Residual Spiking Neural Networks Y Shan, X Qiu, R Zhu, R Li, M Wang, H Qu arXiv preprint arXiv:2311.06570, 2023 | 3 | 2023 |
Towards popularity prediction of information cascades via degree distribution and deep neural networks X Feng, Q Zhao, RJ Zhu Journal of Informetrics 17 (3), 101413, 2023 | 3 | 2023 |
Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation S Yuan, J Huang, Y Xu, Y Liu, S Zhang, Y Shi, R Zhu, X Cheng, J Luo, ... arXiv preprint arXiv:2406.18522, 2024 | 2 | 2024 |
Gated Slot Attention for Efficient Linear-Time Sequence Modeling Y Zhang, S Yang, R Zhu, Y Zhang, L Cui, Y Wang, B Wang, F Shi, B Wang, ... arXiv preprint arXiv:2409.07146, 2024 | | 2024 |
Bridging the gap between artificial intelligence and natural intelligence RJ Zhu, S Gunasekaran, J Eshraghian Nature Computational Science, 1-2, 2024 | | 2024 |
Autonomous Driving with Spiking Neural Networks RJ Zhu, Z Wang, L Gilpin, JK Eshraghian arXiv preprint arXiv:2405.19687, 2024 | | 2024 |
Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning Y Shan, M Zhang, R Zhu, X Qiu, JK Eshraghian, H Qu arXiv preprint arXiv:2405.13672, 2024 | | 2024 |
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology S Kundu, RJ Zhu, A Jaiswal, PA Beerel ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |