Rong Xiao

According to our database, Rong Xiao authored at least 27 papers between 2016 and 2026.

Collaborative distances:

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

2026

MSER: Multi-scale event representation model for enhanced spatio-temporal feature extraction.

Wanying Xu, Ping He, Xin Zhou, Rong Xiao, Chenwei Tang, Jiancheng Lv, Huajin Tang

Neurocomputing, 2026

2025

STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks.

Ping He, Rong Xiao, Chenwei Tang, Shudong Huang, Jiancheng Lv, Huajin Tang

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

Precision Neural Network Quantization via Learnable Adaptive Modules.

Wenqiang Zhou, Zhendong Yu, Xinyu Liu, Jiaming Yang, Rong Xiao, Tao Wang, Chenwei Tang, Jiancheng Lv

CoRR, April, 2025

SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields.

Yuanjian Wang, Yufei Deng, Rong Xiao, Jiahao Fan, Chenwei Tang, Deng Xiong, Jiancheng Lv

CoRR, April, 2025

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection.

Jingyu Xing, Chenwei Tang, Tao Wang, Rong Xiao, Wei Ju, Ji-Zhe Zhou, Liangli Zhen, Jiancheng Lv

CoRR, April, 2025

EBAD-Gaussian: Event-driven Bundle Adjusted Deblur Gaussian Splatting.

Yufei Deng, Yuanjian Wang, Rong Xiao, Chenwei Tang, Jizhe Zhou, Jiahao Fan, Deng Xiong, Jiancheng Lv, Huajin Tang

CoRR, April, 2025

Multi-attribute dynamic attenuation learning improved spiking actor network.

Rong Xiao, Zhiyuan Hu, Jie Zhang, Chenwei Tang, Jiancheng Lv

Neurocomputing, 2025

An empirical study on optimizing binary spiking neural networks for neuromorphic computing.

Ping He, Rong Xiao, Chenwei Tang, Shudong Huang, Jiancheng Lv

Appl. Soft Comput., 2025

2024

Asymmetric Spatiotemporal Online Learning for Deep Spiking Neural Networks.

Rong Xiao, Limiao Ning, Yixuan Wang, Huajun Du, Sen Wang, Rui Yan

IEEE Trans. Cogn. Dev. Syst., October, 2024

Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing.

Guoqi Li, Emre Neftci, Rong Xiao, Pablo Lanillos, Kaushik Roy

IEEE Trans. Cogn. Dev. Syst., October, 2024

A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping.

Houzhan Zhang, Rong Xiao, Jiaxin Li, Chuangye Yan, Huajin Tang

IEEE Trans. Instrum. Meas., 2024

Improving generalized zero-shot learning via cluster-based semantic disentangling representation.

Yi Gao, Wentao Feng, Rong Xiao, Lihuo He, Zhenan He, Jiancheng Lv, Chenwei Tang

Pattern Recognit., 2024

2023

Event-driven spiking neural networks with spike-based learning.

Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang

Memetic Comput., June, 2023

Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks.

Rong Xiao, Yu Wan, Baosong Yang, Haibo Zhang, Huajin Tang, Derek F. Wong, Boxing Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2023

2022

Event stream learning using spatio-temporal event surface.

Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang

Neural Networks, 2022

Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot.

Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan

IEEE Comput. Intell. Mag., 2022

Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning.

Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan

Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

Attention Mechanism with Energy-Friendly Operations.

Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020

An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning.

Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard

IEEE Trans. Neural Networks Learn. Syst., 2020

A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks.

Rong Xiao, Tianyu Geng

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

An Event-based Hierarchy Model for Object Recognition.

Ying Nan, Rong Xiao, Shaobing Gao, Rui Yan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons.

Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks.

Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Spike-based encoding and learning of spectrum features for robust sound recognition.

Rong Xiao, Huajin Tang, Pengjie Gu, Xiaoliang Xu

Neurocomputing, 2018

2017

A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network.

Na Guo, Rong Xiao, Shaobing Gao, Huajin Tang

Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

An Event-Driven Computational System with Spiking Neurons for Object Recognition.

Yuhao Ma, Rong Xiao, Huajin Tang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

A Spiking Neural Network Model for Sound Recognition.

Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan

Proceedings of the Cognitive Systems and Signal Processing, 2016