A Spiking Neural Network Model for Sound Recognition. - Rong Xiao 001; Rui Yan 005; Huajin Tang; Kay Chen Tan (ICCSIP, 2016)

An Event-Driven Computational System with Spiking Neurons for Object Recognition. - Yuhao Ma; Rong Xiao 001; Huajin Tang (ICONIP (6), 2017)

A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network. - Na Guo; Rong Xiao 001; Shaobing Gao; Huajin Tang (CIS/RAM, 2017)

Spike-based encoding and learning of spectrum features for robust sound recognition. - Rong Xiao 001; Huajin Tang; Pengjie Gu; Xiaoliang Xu (Neurocomputing, 2018)

STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks. - Pengjie Gu; Rong Xiao 001; Gang Pan 001; Huajin Tang (IJCAI, 2019)

Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. - Rong Xiao 001; Qiang Yu 005; Rui Yan 005; Huajin Tang (IJCAI, 2019)

An Event-based Hierarchy Model for Object Recognition. - Ying Nan; Rong Xiao 001; Shaobing Gao; Rui Yan 005 (SSCI, 2019)

A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks. - Rong Xiao 001; Tianyu Geng (ICONIP (5), 2020)

An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning. - Rong Xiao 001; Huajin Tang; Yuhao Ma; Rui Yan 005; Garrick Orchard (IEEE Trans. Neural Networks Learn. Syst., 2020)

Attention Mechanism with Energy-Friendly Operations. - Yu Wan 004; Baosong Yang; Dayiheng Liu; Rong Xiao 001; Derek F. Wong; Haibo Zhang 013; Boxing Chen; Lidia S. Chao (ACL (Findings), 2022)

Dynamic Resistance Based Spiking Actor Network for Improving Reinforcement Learning. - Jie Zhang; Runhao Jiang; Rong Xiao 001; Rui Yan 005 (ICCAI, 2022)

Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. - Jiaxin Li; Dengju Li; Runhao Jiang; Rong Xiao 001; Huajin Tang; Kay Chen Tan (IEEE Comput. Intell. Mag., 2022)

Event stream learning using spatio-temporal event surface. - Junfei Dong; Runhao Jiang; Rong Xiao 001; Rui Yan 005; Huajin Tang (Neural Networks, 2022)

Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks. - Rong Xiao 001; Yu Wan 004; Baosong Yang; Haibo Zhang 013; Huajin Tang; Derek F. Wong; Boxing Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Event-driven spiking neural networks with spike-based learning. - Limiao Ning; Junfei Dong; Rong Xiao 001; Kay Chen Tan; Huajin Tang (Memetic Comput., 2023)

Improving generalized zero-shot learning via cluster-based semantic disentangling representation. - Yi Gao; Wentao Feng; Rong Xiao 001; Lihuo He; Zhenan He 001; Jiancheng Lv 001; Chenwei Tang (Pattern Recognit., 2024)

A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping. - Houzhan Zhang; Rong Xiao 001; Jiaxin Li; Chuangye Yan; Huajin Tang (IEEE Trans. Instrum. Meas., 2024)

Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing. - Guoqi Li; Emre Neftci; Rong Xiao 001; Pablo Lanillos; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Asymmetric Spatiotemporal Online Learning for Deep Spiking Neural Networks. - Rong Xiao 001; Limiao Ning; Yixuan Wang; Huajun Du; Sen Wang; Rui Yan 005 (IEEE Trans. Cogn. Dev. Syst., 2024)

An empirical study on optimizing binary spiking neural networks for neuromorphic computing. - Ping He; Rong Xiao 001; Chenwei Tang; Shudong Huang; Jiancheng Lv 001 (Appl. Soft Comput., 2025)

Multi-attribute dynamic attenuation learning improved spiking actor network. - Rong Xiao 001; Zhiyuan Hu; Jie Zhang; Chenwei Tang; Jiancheng Lv 001 (Neurocomputing, 2025)

EBAD-Gaussian: Event-driven Bundle Adjusted Deblur Gaussian Splatting. - Yufei Deng; Yuanjian Wang; Rong Xiao 001; Chenwei Tang; Jizhe Zhou; Jiahao Fan; Deng Xiong; Jiancheng Lv 001; Huajin Tang (CoRR, 2025)

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection. - Jingyu Xing; Chenwei Tang; Tao Wang 053; Rong Xiao 001; Wei Ju 001; Ji-Zhe Zhou; Liangli Zhen; Jiancheng Lv 001 (CoRR, 2025)

SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields. - Yuanjian Wang; Yufei Deng; Rong Xiao 001; Jiahao Fan; Chenwei Tang; Deng Xiong; Jiancheng Lv 001 (CoRR, 2025)

Precision Neural Network Quantization via Learnable Adaptive Modules. - Wenqiang Zhou; Zhendong Yu; Xinyu Liu 001; Jiaming Yang; Rong Xiao 001; Tao Wang 053; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2025)

STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks. - Ping He; Rong Xiao 001; Chenwei Tang; Shudong Huang; Jiancheng Lv 001; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2025)