Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks. - Yujie Wu 002; Lei Deng 003; Guoqi Li; Jun Zhu 001; Luping Shi (CoRR, 2017)

Research on Pricing and Coordination Strategy of a Sustainable Green Supply Chain with a Capital-Constrained Retailer. - Liming Zhao; Ling Li 005; Yao Song; Cong Li; Yujie Wu 002 (Complex., 2018)

Direct Training for Spiking Neural Networks: Faster, Larger, Better. - Yujie Wu 002; Lei Deng 003; Guoqi Li; Jun Zhu 001; Luping Shi (CoRR, 2018)

Direct Training for Spiking Neural Networks: Faster, Larger, Better. - Yujie Wu 002; Lei Deng 003; Guoqi Li; Jun Zhu 001; Yuan Xie 001; Luping Shi (AAAI, 2019)

DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking. - Zheyu Yang; Yujie Wu 002; Guanrui Wang; Yukuan Yang; Guoqi Li; Lei Deng 003; Jun Zhu 001; Luping Shi (CoRR, 2019)

ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. - Daiheng Gao; Zhenzhi Wu; Yujie Wu 002; Guoqi Li; Jing Pei (HBAI@IJCAI, 2020)

Brain-inspired global-local hybrid learning towards human-like intelligence. - Yujie Wu 002; Rong Zhao; Jun Zhu 001; Feng Chen; Mingkun Xu; Guoqi Li; Sen Song; Lei Deng 003; Guanrui Wang; Hao Zheng; Jing Pei; Youhui Zhang; et al. (CoRR, 2020)

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. - Lei Deng 003; Guanrui Wang; Guoqi Li; Shuangchen Li; Ling Liang; Maohua Zhu; Yujie Wu 002; Zheyu Yang; Zhe Zou; Jing Pei; Zhenzhi Wu; Xing Hu 001; et al. (IEEE J. Solid State Circuits, 2020)

Rethinking the performance comparison between SNNS and ANNS. - Lei Deng 003; Yujie Wu 002; Xing Hu 001; Ling Liang; Yufei Ding 001; Guoqi Li; Guangshe Zhao; Peng Li 001; Yuan Xie 001 (Neural Networks, 2020)

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. - Weihua He; Yujie Wu 002; Lei Deng 003; Guoqi Li; Haoyu Wang; Yang Tian; Wei Ding; Wenhui Wang 001; Yuan Xie 001 (Neural Networks, 2020)

Going Deeper With Directly-Trained Larger Spiking Neural Networks. - Hanle Zheng; Yujie Wu 002; Lei Deng 003; Yifan Hu; Guoqi Li (AAAI, 2021)

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. - Mingkun Xu; Yujie Wu 002; Lei Deng 003; Faqiang Liu; Guoqi Li; Jing Pei (IJCAI, 2021)

Advancing Residual Learning towards Powerful Deep Spiking Neural Networks. - Yifan Hu; Yujie Wu 002; Lei Deng 003; Guoqi Li (CoRR, 2021)

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; et al. (Sci. Robotics, 2022)

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. - Ling Liang; Zheng Qu; Zhaodong Chen; Fengbin Tu; Yujie Wu 002; Lei Deng 003; Guoqi Li; Peng Li 001; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

General spiking neural network framework for the learning trajectory from a noisy mmWave radar. - Xin Liu 073; Mingyu Yan; Lei Deng 003; Yujie Wu 002; De Han; Guoqi Li; Xiaochun Ye; Dongrui Fan (Neuromorph. Comput. Eng., 2022)

Brain-inspired multimodal hybrid neural network for robot place recognition. - Fangwen Yu; Yujie Wu 002; Songchen Ma; Mingkun Xu; Hongyi Li; Huanyu Qu; Chenhang Song; Taoyi Wang; Rong Zhao; Luping Shi (Sci. Robotics, 2023)

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. - Ling Liang; Xing Hu 001; Lei Deng 003; Yujie Wu 002; Guoqi Li; Yufei Ding 001; Peng Li 001; Yuan Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. - Lei Deng 003; Yujie Wu 002; Yifan Hu; Ling Liang; Guoqi Li; Xing Hu 001; Yufei Ding 001; Peng Li 001; Yuan Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. - Mingkun Xu; Huifeng Yin; Yujie Wu 002; Guoqi Li; Faqiang Liu; Jing Pei; Shuai Zhong; Lei Deng 003 (CoRR, 2024)

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. - Xinyi Chen; Jibin Wu; Chenxiang Ma; Yinsong Yan; Yujie Wu 002; Kay Chen Tan (CoRR, 2024)

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. - Yujie Wu 002; Siyuan Xu; Jibin Wu; Lei Deng 003; Mingkun Xu; Qinghao Wen; Guoqi Li (CoRR, 2024)

Network model with internal complexity bridges artificial intelligence and neuroscience. - Linxuan He; Yunhui Xu; Weihua He; Yihan Lin; Yang Tian; Yujie Wu 002; Wenhui Wang 001; Ziyang Zhang; Junwei Han 001; Yonghong Tian 001; Bo Xu 002; Guoqi Li (Nat. Comput. Sci., 2024)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. - Chenxiang Ma; Xinyi Chen; Yanchen Li; Qu Yang; Yujie Wu 002; Guoqi Li; Gang Pan 001; Huajin Tang; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Advancing Spiking Neural Networks Toward Deep Residual Learning. - Yifan Hu; Lei Deng 003; Yujie Wu 002; Man Yao; Guoqi Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. - Xinyi Chen; Chenxiang Ma; Yujie Wu 002; Kay Chen Tan; Jibin Wu (CoRR, 2025)