| 2026 | AAAI | S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing. | Ping He, Rong Xiao, Wanying Xu, Chenwei Tang, Shudong Huang, Huajin Tang |
| 2026 | AAAI | MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization. | Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang |
| 2026 | AAAI | S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding. | Qian Zheng, Ming Chen, Sha Zhao, Shi Gu, Peng Lin, De Ma, Huajin Tang, Gang Pan |
| 2026 | ACL | SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models. | Ming Chen, Wenyao Li, Chao Liang, Shi Gu, Peng Lin, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | AAAI | EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting. | Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan |
| 2025 | AAAI | EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events. | Zehao Chen, Zhanfeng Liao, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | AAAI | ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. | Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang |
| 2025 | AAAI | GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. | Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang |
| 2025 | AAAI | EvSTVSR: Event Guided Space-Time Video Super-Resolution. | Haojie Yan, Zhan Lu, Zehao Chen, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | ICASSP | Two-Stream Spiking Neural Network for Event-based Action Recognition. | Shuang Lian, Qianhui Liu, Ziling Wang, Jia Su, Zhibin Zuo, Yi Zhang, Rui Yan, Huajin Tang |
| 2025 | ICASSP | Adaptive Gradient-Based Timesurface for Event-based Detection. | Ziling Wang, Ziming Wang, Shuang Lian, Rui Yan, Huajin Tang |
| 2025 | ICCV | E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes. | Yan Liu, Zehao Chen, Haojie Yan, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | ICDE | CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access. | Ziyu Song, Jie Zhang, Jie Sun, Mo Sun, Zihan Yang, Zheng Zhang, Xuzheng Chen, Fei Wu, Huajin Tang, Zeke Wang |
| 2025 | ICML | Hybrid Spiking Vision Transformer for Object Detection with Event Cameras. | Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan |
| 2025 | ICML | Training High Performance Spiking Neural Network by Temporal Model Calibration. | Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | IJCAI | EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video. | Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | ICRA | Brain-Inspired Spatial Continuous State Encoding for Efficient Spiking-Based Navigation. | Qingao Chai, Jiashuo Wang, Runhao Jiang, Bo Yang, Rui Yan, Huajin Tang |
| 2025 | IJCNN | Deep Spiking Neural Network with Adaptive Temporal Feature Fusion for Energy-efficient Event-based Person Re-Identification. | Qingfeng Shi, Jiaqiang Jiang, Huajin Tang, Rui Yan |
| 2025 | ICRA | HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation. | Bo Yang, Shibo Zhou, Chaohui Lin, Qingao Chai, Rui Yan, De Ma, Gang Pan, Huajin Tang |
| 2024 | AAAI | Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. | Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang |
| 2024 | AAAI | Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. | Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang |
| 2024 | ECCV | EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks. | Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang |
| 2024 | IJCNN | An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. | Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan |
| 2024 | IJCNN | Adaptive Multi-Level Firing for Direct Training Deep Spiking Neural Networks. | Haosong Qi, Shuang Lian, Xu Li, Huajin Tang |
| 2024 | IJCNN | Multi-scale Harmonic Mean Time Surfaces for Event-based Object Classification. | Panpan Yang, Ziming Wang, Huajin Tang, Rui Yan |
| 2024 | IROS | CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents. | Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang |
| 2023 | AAAI | ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. | Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang |
| 2023 | CVPR | Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. | Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan |
| 2023 | ICML | Adaptive Smoothing Gradient Learning for Spiking Neural Networks. | Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang |
| 2023 | ICONIP | CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks. | Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang |
| 2023 | IJCAI | Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. | Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang |
| 2023 | IJCAI | A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. | Lang Qin, Rui Yan, Huajin Tang |
| 2023 | IJCNN | Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. | Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang |
| 2023 | IROS | Spiking Reinforcement Learning with Memory Ability for Mapless Navigation. | Bo Yang, Mengwen Yuan, Chengjun Zhang, Chaofei Hong, Gang Pan, Huajin Tang |
| 2022 | ICASSP | Event-Based Multimodal Spiking Neural Network with Attention Mechanism. | Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan |
| 2022 | IJCAI | Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. | Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan |
| 2022 | ICRA | Learning Local Event-based Descriptor for Patch-based Stereo Matching. | Peigen Liu, Guang Chen, Zhijun Li, Huajin Tang, Alois C. Knoll |
| 2021 | CVPR | Indoor Lighting Estimation Using an Event Camera. | Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan |
| 2021 | IJCAI | Event-based Action Recognition Using Motion Information and Spiking Neural Networks. | Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan |
| 2020 | AAAI | Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. | Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan |
| 2020 | ICONIP | A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. | Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang |
| 2020 | IJCNN | Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. | Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang |
| 2019 | ICASSP | A Multi-spike Approach for Robust Sound Recognition. | Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang |
| 2019 | ICONIP | Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots. | Dengju Li, Rui Yan, Xiaoliang Xu, Huajin Tang |
| 2019 | IJCAI | STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks. | Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang |
| 2019 | IJCAI | Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. | Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang |
| 2019 | IJCNN | A temporal encoding method based on expansion representation. | Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan |
| 2019 | ISNN | An Unsupervised Spiking Deep Neural Network for Object Recognition. | Zeyang Song, Xi Wu, Mengwen Yuan, Huajin Tang |
| 2018 | ICONIP | A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. | Dong Niu, Dengju Li, Rui Yan, Huajin Tang |
| 2018 | IJCAI | Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. | Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan |
| 2018 | IJCAI | CSNN: An Augmented Spiking based Framework with Perceptron-Inception. | Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan |
| 2018 | IJCNN | A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks. | Yu Miao, Huajin Tang, Gang Pan |
| 2017 | ICONIP | An Event-Driven Computational System with Spiking Neurons for Object Recognition. | Yuhao Ma, Rong Xiao, Huajin Tang |
| 2016 | CEC | Hebbian learning analysis of a grid cell based cognitive mapping system. | Jun Hu, Miaolong Yuan, Huajin Tang, Wei-Yun Yau |
| 2016 | CEC | Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network. | Huajin Tang, Boon Hwa Tan, Rui Yan |
| 2015 | AAAI | Robust Subspace Clustering via Thresholding Ridge Regression. | Xi Peng, Zhang Yi, Huajin Tang |
| 2015 | AAAI | An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building. | Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang, Haizhou Li |
| 2014 | IJCNN | A new learning rule for classification of spatiotemporal spike patterns. | Qiang Yu, Huajin Tang, Kay Chen Tan |
| 2014 | IJCNN | Bio-inspired categorization using event-driven feature extraction and spike-based learning. | Bo Zhao, Shoushun Chen, Huajin Tang |
| 2014 | IROS | Direction-driven navigation using cognitive map for mobile robots. | Vui Ann Shim, Bo Tian, Miaolong Yuan, Huajin Tang, Haizhou Li |
| 2014 | IROS | Flexible and robust robotic arm design and skill learning by using recurrent neural networks. | Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani |
| 2013 | ICASSP | Temporal coding of local spectrogram features for robust sound recognition. | Jonathan William Dennis, Qiang Yu, Huajin Tang, Tran Huy Dat, Haizhou Li |
| 2013 | ICONIP | A Simplified Cerebellum-Based Model for Motor Control in Brain Based Devices. | Vui Ann Shim, Chris Stephen Naveen Ranjit, Bo Tian, Huajin Tang |
| 2013 | IJCNN | A hierarchical organized memory model using spiking neurons. | Jun Hu, Huajin Tang, Kay Chen Tan |
| 2013 | IJCNN | A computationally efficient associative memory model of hippocampus CA3 by spiking neurons. | Chin Hiong Tan, Huajin Tang, Eng Yeow Cheu, Jun Hu |
| 2013 | IROS | RGB-D based cognitive map building and navigation. | Bo Tian, Vui Ann Shim, Miaolong Yuan, Chithra Srinivasan, Huajin Tang, Haizhou Li |
| 2012 | IJCNN | Learning real-world stimuli by single-spike coding and tempotron rule. | Huajin Tang, Qiang Yu, Kay Chen Tan |
| 2012 | IJCNN | Pattern recognition computation in a spiking neural network with temporal encoding and learning. | Qiang Yu, Kay Chen Tan, Huajin Tang |
| 2011 | ICONIP | A Neuro-cognitive Robot for Spatial Navigation. | Weiwei Huang, Huajin Tang, Jiali Yu, Chin Hiong Tan |
| 2011 | ICONIP | Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons. | Chin Hiong Tan, Eng Yeow Cheu, Jun Hu, Qiang Yu, Huajin Tang |
| 2011 | ICONIP | Brain Inspired Cognitive System for Learning and Memory. | Huajin Tang, Weiwei Huang |
| 2010 | CEC | Restricted Boltzmann machine based algorithm for multi-objective optimization. | Huajin Tang, Vui Ann Shim, Kay Chen Tan, Jun Yong Chia |
| 2006 | IJCNN | A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. | Eu Jin Teoh, Huajin Tang, Kay Chen Tan |
| 2006 | ISNN | An Improvement on Competitive Neural Networks Applied to Image Segmentation. | Rui Yan, Meng Joo Er, Huajin Tang |