Yujie Wu

According to our database, Yujie Wu authored at least 26 papers between 2017 and 2025.

Collaborative distances:

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

2025

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing.

Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu

CoRR, May, 2025

Advancing Spiking Neural Networks Toward Deep Residual Learning.

Yifan Hu, Lei Deng, Yujie Wu, Man Yao, Guoqi Li

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects.

Chenxiang Ma, Xinyi Chen, Yanchen Li, Qu Yang, Yujie Wu, Guoqi Li, Gang Pan, Huajin Tang, Kay Chen Tan, Jibin Wu

CoRR, February, 2025

2024

Network model with internal complexity bridges artificial intelligence and neuroscience.

Linxuan He, Yunhui Xu, Weihua He, Yihan Lin, Yang Tian, Yujie Wu, Wenhui Wang, Ziyang Zhang, Junwei Han, Yonghong Tian, Bo Xu, Guoqi Li

Nat. Comput. Sci., August, 2024

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning.

Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li

CoRR, 2024

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing.

Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, Yujie Wu, Kay Chen Tan

CoRR, 2024

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.

Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng

CoRR, 2024

2023

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.

Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.

Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Brain-inspired multimodal hybrid neural network for robot place recognition.

Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi

Sci. Robotics, 2023

2022

General spiking neural network framework for the learning trajectory from a noisy mmWave radar.

Xin Liu, Mingyu Yan, Lei Deng, Yujie Wu, De Han, Guoqi Li, Xiaochun Ye, Dongrui Fan

Neuromorph. Comput. Eng., June, 2022

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.

Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

Songchen Ma, Jing Pei, Weihao Zhang, Guanrui Wang, Dahu Feng, Fangwen Yu, Chenhang Song, Huanyu Qu, Cheng Ma, Mingsheng Lu, Faqiang Liu, Wenhao Zhou, Yujie Wu, Yihan Lin, Hongyi Li, Taoyi Wang, Jiuru Song, Xue Liu, Guoqi Li, Rong Zhao, Luping Shi

Sci. Robotics, 2022

2021

Advancing Residual Learning towards Powerful Deep Spiking Neural Networks.

Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li

CoRR, 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.

Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Going Deeper With Directly-Trained Larger Spiking Neural Networks.

Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie

Neural Networks, 2020

Rethinking the performance comparison between SNNS and ANNS.

Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie

Neural Networks, 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi

IEEE J. Solid State Circuits, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.

Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi

CoRR, 2020

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks.

Daiheng Gao, Zhenzhi Wu, Yujie Wu, Guoqi Li, Jing Pei

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

2019

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.

Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi

CoRR, 2019

Direct Training for Spiking Neural Networks: Faster, Larger, Better.

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Direct Training for Spiking Neural Networks: Faster, Larger, Better.

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi

CoRR, 2018

Research on Pricing and Coordination Strategy of a Sustainable Green Supply Chain with a Capital-Constrained Retailer.

Liming Zhao, Ling Li, Yao Song, Cong Li, Yujie Wu

Complex., 2018

2017

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.

Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi

CoRR, 2017