Rong Xiao

31 papers A* 3B 1Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
IF4FD: Multiscale Information Fusion for Zero-Shot Industrial Fault Diagnosis.
IEEE Trans. Ind. Informatics
Chenwei Tang, Ying Wang, Weijia Wang, Wangyang Ying, Jie Liu, Yong Wang, Nanxu Gong, Wei Ju, Rong Xiao, Jiancheng Lv
2026 J jnl
MSER: Multi-scale event representation model for enhanced spatio-temporal feature extraction.
Neurocomputing
Wanying Xu, Ping He, Xin Zhou, Rong Xiao, Chenwei Tang, Jiancheng Lv, Huajin Tang
2026 A* conf
S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing.
AAAI
Ping He, Rong Xiao, Wanying Xu, Chenwei Tang, Shudong Huang, Huajin Tang
2025 J jnl
An empirical study on optimizing binary spiking neural networks for neuromorphic computing.
Appl. Soft Comput.
Ping He, Rong Xiao, Chenwei Tang, Shudong Huang, Jiancheng Lv
2025 J jnl
EBAD-Gaussian: Event-driven Bundle Adjusted Deblur Gaussian Splatting.
CoRR
Yufei Deng, Yuanjian Wang, Rong Xiao, Chenwei Tang, Jizhe Zhou, Jiahao Fan, Deng Xiong, Jiancheng Lv, Huajin Tang
2025 J jnl
Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection.
CoRR
Jingyu Xing, Chenwei Tang, Tao Wang, Rong Xiao, Wei Ju, Ji-Zhe Zhou, Liangli Zhen, Jiancheng Lv
2025 J jnl
Multi-attribute dynamic attenuation learning improved spiking actor network.
Neurocomputing
Rong Xiao, Zhiyuan Hu, Jie Zhang, Chenwei Tang, Jiancheng Lv
2025 J jnl
Precision Neural Network Quantization via Learnable Adaptive Modules.
CoRR
Wenqiang Zhou, Zhendong Yu, Xinyu Liu, Jiaming Yang, Rong Xiao, Tao Wang, Chenwei Tang, Jiancheng Lv
2025 J jnl
STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Ping He, Rong Xiao, Chenwei Tang, Shudong Huang, Jiancheng Lv, Huajin Tang
2025 B conf
SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields.
IJCNN
Yuanjian Wang, Yufei Deng, Rong Xiao, Jiahao Fan, Chenwei Tang, Deng Xiong, Jiancheng Lv
2025 J jnl
SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields.
CoRR
Yuanjian Wang, Yufei Deng, Rong Xiao, Jiahao Fan, Chenwei Tang, Deng Xiong, Jiancheng Lv
2024 J jnl
A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping.
IEEE Trans. Instrum. Meas.
Houzhan Zhang, Rong Xiao, Jiaxin Li, Chuangye Yan, Huajin Tang
2024 J jnl
Asymmetric Spatiotemporal Online Learning for Deep Spiking Neural Networks.
IEEE Trans. Cogn. Dev. Syst.
Rong Xiao, Limiao Ning, Yixuan Wang, Huajun Du, Sen Wang, Rui Yan
2024 J jnl
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing.
IEEE Trans. Cogn. Dev. Syst.
Guoqi Li, Emre Neftci, Rong Xiao, Pablo Lanillos, Kaushik Roy
2024 J jnl
Improving generalized zero-shot learning via cluster-based semantic disentangling representation.
Pattern Recognit.
Yi Gao, Wentao Feng, Rong Xiao, Lihuo He, Zhenan He, Jiancheng Lv, Chenwei Tang
2023 J jnl
Event-driven spiking neural networks with spike-based learning.
Memetic Comput.
Limiao Ning, Junfei Dong, Rong Xiao, Kay Chen Tan, Huajin Tang
2023 J jnl
Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process.
Rong Xiao, Yu Wan, Baosong Yang, Haibo Zhang, Huajin Tang, Derek F. Wong, Boxing Chen
2022 — conf
Attention Mechanism with Energy-Friendly Operations.
ACL (Findings)
Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao
2022 J jnl
Attention Mechanism with Energy-Friendly Operations.
CoRR
Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao
2022 — conf
Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning.
ICCAI
Jie Zhang, Runhao Jiang, Rong Xiao, Rui Yan
2022 J jnl
Event stream learning using spatio-temporal event surface.
Neural Networks
Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang
2022 J jnl
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot.
IEEE Comput. Intell. Mag.
Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang, Kay Chen Tan
2020 — conf
A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks.
ICONIP (5)
Rong Xiao, Tianyu Geng
2020 J jnl
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning.
IEEE Trans. Neural Networks Learn. Syst.
Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard
2019 — conf
An Event-based Hierarchy Model for Object Recognition.
SSCI
Ying Nan, Rong Xiao, Shaobing Gao, Rui Yan
2019 A* conf
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons.
IJCAI
Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang
2019 A* conf
STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks.
IJCAI
Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang
2018 J jnl
Spike-based encoding and learning of spectrum features for robust sound recognition.
Neurocomputing
Rong Xiao, Huajin Tang, Pengjie Gu, Xiaoliang Xu
2017 — conf
A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network.
CIS/RAM
Na Guo, Rong Xiao, Shaobing Gao, Huajin Tang
2017 — conf
An Event-Driven Computational System with Spiking Neurons for Object Recognition.
ICONIP (6)
Yuhao Ma, Rong Xiao, Huajin Tang
2016 — conf
A Spiking Neural Network Model for Sound Recognition.
ICCSIP
Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan