Application of BP Neural Network for the Abnormity Monitoring in Slab Continuous Casting. - Xudong Wang 003; Man Yao; Xingfu Chen (ISNN (2), 2004)

Particle swarm optimization for estimation on mould oscillation for continuous casting process. - Xudong Wang 003; Zhaofeng Wang; Man Yao (ICNC, 2011)

Neural networks for solving the inverse heat transfer problem of continuous casting mould. - Xudong Wang 003; Man Yao (ICNC, 2011)

Globally consistent alignment for mosaicking aerial images. - Menghan Xia; Man Yao; Li Li 047; Xiaohu Lu (ICIP, 2015)

Characteristics analysis of DOPs for Dual-GNSS constellations with uncertain clock offset. - Man Yao; Gangming Lv; Qiuli Dong; Tantan Zhao (WCSP, 2017)

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. - Man Yao; Huanhuan Gao; Guangshe Zhao; Dingheng Wang; Yihan Lin; Zhao-Xu Yang; Guoqi Li (ICCV, 2021)

Typology and literature review on multiple supplier inventory control models. - Josef Svoboda; Stefan Minner; Man Yao (Eur. J. Oper. Res., 2021)

MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network. - Xiaoshan Wu; Weihua He; Man Yao; Ziyang Zhang; Yaoyuan Wang; Guoqi Li (CoRR, 2022)

Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. - Yang Wu 001; Dingheng Wang; Xiaotong Lu; Fan Yang 032; Man Yao; Weisheng Dong; Jianbo Shi; Guoqi Li (Int. J. Autom. Comput., 2022)

Inherent Redundancy in Spiking Neural Networks. - Man Yao; Jiakui Hu; Guangshe Zhao; Yaoyuan Wang; Ziyang Zhang; Bo Xu 002; Guoqi Li (ICCV, 2023)

Spike-driven Transformer. - Man Yao; Jiakui Hu; Zhaokun Zhou; Li Yuan 007; Yonghong Tian 001; Bo Xu 002; Guoqi Li (NeurIPS, 2023)

Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. - Man Yao; Yuhong Chou; Guangshe Zhao; Xiawu Zheng; Yonghong Tian 001; Bo Xu 002; Guoqi Li (CoRR, 2023)

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs. - Dingheng Wang; Bijiao Wu; Guangshe Zhao; Man Yao; Hengnu Chen; Lei Deng 003; Tianyi Yan; Guoqi Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

Attention Spiking Neural Networks. - Man Yao; Guangshe Zhao; Hengyu Zhang 001; Yifan Hu; Lei Deng 003; Yonghong Tian 001; Bo Xu 002; Guoqi Li (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition. - Man Yao; Hengyu Zhang 001; Guangshe Zhao; Xiyu Zhang; Dingheng Wang; Gang Cao; Guoqi Li (Neural Networks, 2023)

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network. - Kexin Wang; Jiahong Zhang; Yong Ren; Man Yao; Di Shang; Bo Xu 002; Guoqi Li (ACL (1), 2024)

Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection. - Xinhao Luo; Man Yao; Yuhong Chou; Bo Xu 002; Guoqi Li (ECCV (32), 2024)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. - Man Yao; Jiakui Hu; Tianxiang Hu; Yifan Xu; Zhaokun Zhou; Yonghong Tian 001; Bo Xu 002; Guoqi Li (ICLR, 2024)

High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. - Jiakui Hu; Man Yao; Xuerui Qiu; Yuhong Chou; Yuxuan Cai; Ning Qiao; Yonghong Tian 001; Bo Xu 002; Guoqi Li (ICML, 2024)

RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding. - Keming Wu; Man Yao; Yuhong Chou; Xuerui Qiu; Rui Yang; Bo Xu 002; Guoqi Li (ACM Multimedia, 2024)

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. - Yuhong Chou; Man Yao; Kexin Wang; Yuqi Pan; Rui-Jie Zhu 003; Jibin Wu; Yiran Zhong; Yu Qiao; Bo Xu 002; Guoqi Li (NeurIPS, 2024)

SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT. - Qiaoyi Su; Shijie Mei; Xingrun Xing; Man Yao; Jiajun Zhang; Bo Xu 002; Guoqi Li (Neural Networks, 2024)

Event-Based Depth Prediction With Deep Spiking Neural Network. - Xiaoshan Wu; Weihua He; Man Yao; Ziyang Zhang; Yaoyuan Wang; Bo Xu 002; Guoqi Li (IEEE Trans. Cogn. Dev. Syst., 2024)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation. - Zhenxin Lei; Man Yao; Jiakui Hu; Xinhao Luo; Yanye Lu; Bo Xu 002; Guoqi Li (AAAI, 2025)

Efficient 3D Recognition with Event-driven Spike Sparse Convolution. - Xuerui Qiu; Man Yao; Jieyuan Zhang; Yuhong Chou; Ning Qiao; Shibo Zhou; Bo Xu 002; Guoqi Li (AAAI, 2025)

MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling. - Kexin Wang; Yuhong Chou; Di Shang; Shijie Mei; Jiahong Zhang; Yanbin Huang; Man Yao; Bo Xu 002; Guoqi Li (ACL (1), 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)

Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training. - Man Yao; Xuerui Qiu; Tianxiang Hu; Jiakui Hu; Yuhong Chou; Keyu Tian; Jianxing Liao; Luziwei Leng; Bo Xu 002; Guoqi Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Integer Binary-Range Alignment Neuron for Spiking Neural Networks. - Binghao Ye; Wenjuan Li; Dong Wang; Man Yao; Bing Li; Weiming Hu; Dong Liang 001; Kun Shang (CoRR, 2025)

Spatial-Temporal Spiking Feature Pruning in Spiking Transformer. - Zhaokun Zhou; Kaiwei Che; Jun Niu; Man Yao; Guoqi Li; Li Yuan 007; Guibo Luo; Yuesheng Zhu (IEEE Trans. Cogn. Dev. Syst., 2025)