Shibo Zhou

According to our database, Shibo Zhou authored at least 21 papers between 2018 and 2025.

Collaborative distances:

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

2025

Spiking Transformers Need High Frequency Information.

Yuetong Fang, Deming Zhou, Ziqing Wang, Hongwei Ren, ZeCui Zeng, Lusong Li, Shibo Zhou, Renjing Xu

CoRR, May, 2025

Advancing efficacy prediction for electronic health records based emulated trials in repurposing heart failure therapies.

Nansu Zong, Shaika Chowdhury, Shibo Zhou, Sivaraman Rajaganapathy, Yue Yu, Liewei Wang, Qiying Dai, Pengyang Li, Xiaoke Liu, Suzette J. Bielinski, Jun Chen, Yongbin Chen, James R. Cerhan

npj Digit. Medicine, 2025

Efficient 3D Recognition with Event-driven Spike Sparse Convolution.

Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model.

Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang

Neural Networks, 2024

SM-DPC: Clustering by Fast Search and Find of Density Peaks Based on SNN With Multi-Cluster Fusion Strategy.

Shibo Zhou, Bingbing Peng, Wenpeng Xu, Lüzhen Ren

IEEE Access, 2024

An Improved Kernel Density Estimation Method for Characterizing Buoy Offset.

Shibo Zhou, Bingbing Peng, Jinxing Shao, Lüzhen Ren

IEEE Access, 2024

An Improved NSGA-III Algorithm for Scheduling Ships Arrival and Departure the Main Channel of Tianjin Port.

Lüzhen Ren, Yuzheng Li, Shibo Zhou

IEEE Access, 2024

Spiking Neural Network as Adaptive Event Stream Slicer.

Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

WOA-DBSCAN: Application of Whale Optimization Algorithm in DBSCAN Parameter Adaption.

Xinliang Zhang, Shibo Zhou

IEEE Access, 2023

2021

Spectrum Attention Mechanism for Time Series Classification.

Shibo Zhou, Yu Pan

CoRR, 2021

A Spike Learning System for Event-driven Object Recognition.

Shibo Zhou, Wei Wang, Xiaohua Li, Zhanpeng Jin

CoRR, 2021

Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance.

Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal

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

2020

Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving.

Wei Wang, Shibo Zhou, Jingxi Li, Xiaohua Li, Junsong Yuan, Zhanpeng Jin

CoRR, 2020

Deep SCNN-Based Real-Time Object Detection for Self-Driving Vehicles Using LiDAR Temporal Data.

Shibo Zhou, Ying Chen, Xiaohua Li, Arindam Sanyal

IEEE Access, 2020

Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection.

Shibo Zhou, Xiaohua Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Temporal Pulses Driven Spiking Neural Network for Time and Power Efficient Object Recognition in Autonomous Driving.

Wei Wang, Shibo Zhou, Jingxi Li, Xiaohua Li, Junsong Yuan, Zhanpeng Jin

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data.

Shibo Zhou, Ying Chen, Qiang Ye

CoRR, 2019

Direct training based spiking convolutional neural networks for object recognition.

Shibo Zhou, Ying Chen, Qiang Ye, Jiangxi Li

CoRR, 2019

2018

Feature Density Based Terrain Hazard Detection for Planetary Landing.

Ai Gao, Shibo Zhou

IEEE Trans. Aerosp. Electron. Syst., 2018

Object Detection based on LIDAR Temporal Pulses using Spiking Neural Networks.

Shibo Zhou, Wei Wang

CoRR, 2018

Nonlinear Finite-Element Analysis of Offshore Platform Impact Load Based on Two-Stage PLS-RBF Neural Network.

Shibo Zhou, Wenjun Zhang

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018