Increasing N200 Potentials Via Visual Stimulus Depicting Humanoid Robot Behavior. - Mengfan Li; Wei Li 006; Huihui Zhou (Int. J. Neural Syst., 2016)

Object Extraction in Cluttered Environments via a P300-Based IFCE. - Xiaoqian Mao; Wei Li 006; Huidong He; Bin Xian; Ming Zeng 001; Huihui Zhou; Linwei Niu; Genshe Chen (Comput. Intell. Neurosci., 2017)

An Event-Related Potential-Based Adaptive Model for Telepresence Control of Humanoid Robot Motion in an Environment Cluttered With Obstacles. - Mengfan Li; Wei Li 006; Linwei Niu; Huihui Zhou; Genshe Chen; Feng Duan (IEEE Trans. Ind. Electron., 2017)

A Dual Stimuli Approach Combined with Convolutional Neural Network to Improve Information Transfer Rate of Event-Related Potential-Based Brain-Computer Interface. - Wei Li 006; Mengfan Li; Huihui Zhou; Genshe Chen; Jing Jin 001; Feng Duan (Int. J. Neural Syst., 2018)

A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder. - Jin Xie; Longfei Wang; Paula Webster; Yang Yao; Jiayao Sun; Shuo Wang; Huihui Zhou (CoRR, 2019)

Bigeminal Priors Variational auto-encoder. - Xuming Ran; Mingkun Xu; Qi Xu; Huihui Zhou; Quanying Liu (CoRR, 2020)

EEG Classification with Transformer-Based Models. - Jiayao Sun; Jin Xie; Huihui Zhou (LifeTech, 2021)

Deep Auto-encoder with Neural Response. - Xuming Ran; Jie Zhang; Ziyuan Ye; Haiyan Wu; Qi Xu; Huihui Zhou; Quanying Liu (CoRR, 2021)

A Categorical Modelling Framework for Multi-robot Systems in Manufacturing. - Huihui Zhou; Wang Lin; Zuohua Ding (DSA, 2022)

Pine pest detection using remote sensing satellite images combined with a multi-scale attention-UNet model. - Wujian Ye; Junming Lao; Yijun Liu; Chin-Chen Chang 001; Ziwen Zhang; Hui Li; Huihui Zhou (Ecol. Informatics, 2022)

DITES: A Lightweight and Flexible Dual-Core Isolated Trusted Execution SoC Based on RISC-V. - Yuehai Chen; Huarun Chen; Shaozhen Chen; Chao Han; Wujian Ye; Yijun Liu; Huihui Zhou (Sensors, 2022)

Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. - Liwei Huang; Zhengyu Ma; Liutao Yu; Huihui Zhou; Yonghong Tian 001 (AAAI, 2023)

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. - Chenlin Zhou; Liutao Yu; Zhaokun Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2023)

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Zhengyu Ma; Huihui Zhou; Xiaopeng Fan; Yonghong Tian 001 (CoRR, 2023)

Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli. - Liwei Huang; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2023)

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. - Wei Fang 006; Yanqi Chen; Jianhao Ding; Zhaofei Yu; Timothée Masquelier; Ding Chen; Liwei Huang; Huihui Zhou; Guoqi Li; Yonghong Tian 001 (CoRR, 2023)

Multi-style transfer and fusion of image's regions based on attention mechanism and instance segmentation. - Wujian Ye; Chaojie Liu; Yuehai Chen; Yijun Liu; Chenming Liu; Huihui Zhou (Signal Process. Image Commun., 2023)

A 95% Efficiency Reusable Adaptive Time Control Bidirectional Buck Charge Converter for Wide Input Range Operation. - Yani Li; Huihui Zhou; Yuhan Zheng; Zhiyu Zhou; Yintang Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment. - Wendong Zheng; Putian Zhao; Gang Chen 023; Huihui Zhou; Yonghong Tian 001 (IEEE Trans. Knowl. Data Eng., 2023)

Performance of spleen stiffness measurement by 2D-shear wave elastography in evaluating the presence of high-risk varices: comparative analysis of idiopathic portal hypertension versus hepatitis B virus. - Huihui Zhou; Zhilin Zhang; Jun Zhang; Lin Sang; Lina Liu; Xue Gong; Yuanyuan Sun; Yu Zheng; Ming Yu (BMC Medical Imaging, 2023)

Multi-stage Multi-granularity Focus-Tuned Learning Paradigm for Medical HSI Segmentation. - Haichuan Dong; Runjie Zhou; Boxiang Yun; Huihui Zhou; Benyan Zhang; Qingli Li; Yan Wang 033 (MICCAI (8), 2024)

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli. - Liwei Huang; Zhengyu Ma; Liutao Yu; Huihui Zhou; Yonghong Tian 001 (NeurIPS, 2024)

Real-time Stereo-based 3D Object Detection for Streaming Perception. - Changcai Li; Zonghua Gu 001; Gang Chen 023; Libo Huang; Wei Zhang 092; Huihui Zhou (NeurIPS, 2024)

QKFormer: Hierarchical Spiking Transformer using Q-K Attention. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Liwei Huang; Xiaopeng Fan; Li Yuan 007; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (NeurIPS, 2024)

Unsupervised domain adaptation for histopathology image segmentation with incomplete labels. - Huihui Zhou; Yan Wang 033; Benyan Zhang; Chunhua Zhou; Maxim Sergeevich Vonsky; Lubov B. Mitrofanova; Duowu Zou; Qingli Li (Comput. Biol. Medicine, 2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. - Chenlin Zhou; Han Zhang 025; Liutao Yu; Yumin Ye; Zhaokun Zhou; Liwei Huang; Zhengyu Ma; Xiaopeng Fan; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. - Liutao Yu; Liwei Huang; Chenlin Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics. - Liwei Huang; Zhengyu Ma; Liutao Yu; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training. - Xueke Zhu; Wenjie Lin; Yanyu Lin; Wenxiang Cheng; Zhengyu Ma; Yonghong Tian 001; Huihui Zhou (CoRR, 2024)

A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training. - Mingjing Li; Huihui Zhou; Xiaofeng Xu; Zhiwei Zhong; Puli Quan; Xueke Zhu; Yanyu Lin; Wenjie Lin; Hongyu Guo; Junchao Zhang; Yunhao Ma; Wei Wang; et al. (CoRR, 2024)

High-speed and High-quality Vision Reconstruction of Spike Camera with Spike Stability Theorem. - Wei Zhang 092; Weiquan Yan; Yun Zhao; Wenxiang Cheng; Gang Chen 023; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy. - Yang Li 203; Wei Wang 209; Ming Wang; Chunmeng Dou; Zhengyu Ma; Huihui Zhou; Peng Zhang 077; Nicola Lepri; Xumeng Zhang; Qing Luo; Xiaoxin Xu; Guanhua Yang; et al. (Adv. Intell. Syst., 2024)

TENet: A Texture-Enhanced Network for Intertidal Sediment and Habitat Classification in Multiband PolSAR Images. - Di Zhang; Wensheng Wang; Martin Gade; Huihui Zhou (Remote. Sens., 2024)

Joint learning of fuzzy embedded clustering and non-negative spectral clustering. - Wujian Ye; Jiada Wang; Yongda Cai; Yijun Liu; Huihui Zhou; Chin-Chen Chang 001 (Multim. Tools Appl., 2024)

SiBrain: A Sparse Spatio-Temporal Parallel Neuromorphic Architecture for Accelerating Spiking Convolution Neural Networks With Low Latency. - Yuehai Chen; Wujian Ye; Yijun Liu; Huihui Zhou (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

FcFNet: A Challenge-Based Feature Complementary Fusion Network for RGBT Tracking. - Wensheng Wang; Congjian Li; Di Zhang; Huihui Zhou; Mingli Xie; Haoran Zhou; Kun Fu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Skip Connection Generative Adversarial Network With EEG Background Noise for Motor Imagery Decoding. - Mengfan Li; Haodong Deng; Jiahao Ge; Huihui Zhou; Jundi Li; Guizhi Xu; Lei Guo 015 (IEEE Trans. Instrum. Meas., 2025)

Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. - Peng Xue; Wei Fang 006; Zhengyu Ma; Zihan Huang; Zhaokun Zhou; Yonghong Tian 001; Timothée Masquelier; Huihui Zhou (CoRR, 2025)

Energy-Oriented Computing Architecture Simulator for SNN Training. - Yunhao Ma; Wanyi Jia; Yanyu Lin; Wenjie Lin; Xueke Zhu; Huihui Zhou; Fengwei An (CoRR, 2025)

E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer. - Yunhao Ma; Yanyu Lin; Mingjing Li; Puli Quan; Chenlin Zhou; Wenyue Zhang; Zhiwei Zhong; Wanyi Jia; Xueke Zhu; Qingyan Meng; Huihui Zhou; Fengwei An (CoRR, 2025)

A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks. - Qingyan Meng; Mingqing Xiao 002; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001; Zhouchen Lin (CoRR, 2025)