Huajin Tang - RankMe

271 papers A* 37A 6B 19Misc 5Journal 172Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Magy Seif El-Nasr, Huajin Tang, Yiu-ming Cheung, Jun Wang
2026	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Jun Wang
2026	J	`jnl`	Editorial: 2026 New Year Message From the Editor-in-Chief. IEEE Trans. Cogn. Dev. Syst. Huajin Tang
2026	J	`jnl`	IntentReact: Guiding Reactive Object-Centric Navigation via Topological Intent. CoRR Yanmei Jiao, Anpeng Lu, Wenhan Hu, Rong Xiong, Yue Wang, Huajin Tang, Wen-An Zhang
2026	A*	`conf`	MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization. AAAI Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang
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
2026	A*	`conf`	S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding. AAAI Qian Zheng, Ming Chen, Sha Zhao, Shi Gu, Peng Lin, De Ma, Huajin Tang, Gang Pan
2025	A*	`conf`	ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. AAAI Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang
2025	J	`jnl`	ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network. CoRR Shang Xu, Jiayu Zhang, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2025	Misc	`conf`	Adaptive Gradient-Based Timesurface for Event-based Detection. ICASSP Ziling Wang, Ziming Wang, Shuang Lian, Rui Yan, Huajin Tang
2025	A*	`conf`	Brain-Inspired Spatial Continuous State Encoding for Efficient Spiking-Based Navigation. ICRA Qingao Chai, Jiashuo Wang, Runhao Jiang, Bo Yang, Rui Yan, Huajin Tang
2025	A*	`conf`	CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access. ICDE Ziyu Song, Jie Zhang, Jie Sun, Mo Sun, Zihan Yang, Zheng Zhang, Xuzheng Chen, Fei Wu, Huajin Tang, Zeke Wang
2025	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Jun Wang
2025	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Jun Wang
2025	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Jun Wang
2025	J	`jnl`	Context gating in spiking neural networks: Achieving lifelong learning through integration of local and global plasticity. Knowl. Based Syst. Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang
2025	J	`jnl`	DarwinWafer: A Wafer-Scale Neuromorphic Chip. CoRR Xiaolei Zhu, Xiaofei Jin, Ziyang Kang, Chonghui Sun, Junjie Feng, Dingwen Hu, Zengyi Wang, Hanyue Zhuang, Qian Zheng, Huajin Tang, Shi Gu, Xin Du, De Ma, Gang Pan
2025	B	`conf`	Deep Spiking Neural Network with Adaptive Temporal Feature Fusion for Energy-efficient Event-based Person Re-Identification. IJCNN Qingfeng Shi, Jiaqiang Jiang, Huajin Tang, Rui Yan
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	A*	`conf`	EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video. IJCAI Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan
2025	J	`jnl`	Editorial: 2025 New Year Message From the Editor-in-Chief. IEEE Trans. Cogn. Dev. Syst. Huajin Tang
2025	A*	`conf`	EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting. AAAI Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan
2025	A*	`conf`	EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events. AAAI Zehao Chen, Zhanfeng Liao, De Ma, Huajin Tang, Qian Zheng, Gang Pan
2025	A*	`conf`	EvSTVSR: Event Guided Space-Time Video Super-Resolution. AAAI Haojie Yan, Zhan Lu, Zehao Chen, De Ma, Huajin Tang, Qian Zheng, Gang Pan
2025	J	`jnl`	FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. CoRR Zeke Wang, Jie Zhang, Hongjing Huang, Yingtao Li, Xueying Zhu, Mo Sun, Zihan Yang, De Ma, Huajin Tang, Gang Pan, Fei Wu, Bingsheng He, Gustavo Alonso
2025	A*	`conf`	GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. AAAI Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2025	A*	`conf`	HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation. ICRA Bo Yang, Shibo Zhou, Chaohui Lin, Qingao Chai, Rui Yan, De Ma, Gang Pan, Huajin Tang
2025	A*	`conf`	Hybrid Spiking Vision Transformer for Object Detection with Event Cameras. ICML Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan
2025	J	`jnl`	Hybrid Spiking Vision Transformer for Object Detection with Event Cameras. CoRR Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan
2025	J	`jnl`	MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization. CoRR Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang
2025	J	`jnl`	NeuroSimWorm: A multisensory framework for modeling and simulating neural circuits of Caenorhabditis elegans. Neurocomputing Jiaxin Wang, Mengxiao Zhang, Kejun Wang, Lijun Kang, Liang Feng, Gang Pan, Huajin Tang
2025	J	`jnl`	Neuromorphic Auditory Perception by Neural Spiketrum. IEEE Trans. Emerg. Top. Comput. Intell. Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan, Gang Pan
2025	J	`jnl`	Robust Sensory Information Reconstruction and Classification With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Sibo Liu, Xuming Ran, Yaxin Li, Jiangrong Shen, Huajin Tang, Jian K. Liu, Gang Pan, Qiang Zhang
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	J	`jnl`	Spiking Neural Network for Ultralow-Latency and High-Accurate Object Detection. IEEE Trans. Neural Networks Learn. Syst. Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao
2025	J	`jnl`	Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. CoRR Chenxiang Ma, Xinyi Chen, Yanchen Li, Qu Yang, Yujie Wu, Guoqi Li, Gang Pan, Huajin Tang, Kay Chen Tan, Jibin Wu
2025	A*	`conf`	Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning. ACM Multimedia Jiangrong Shen, Yulin Xie, Qi Xu, Gang Pan, Huajin Tang, Badong Chen
2025	J	`jnl`	Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning. CoRR Jiangrong Shen, Yulin Xie, Qi Xu, Gang Pan, Huajin Tang, Badong Chen
2025	J	`jnl`	Temporal spiking generative adversarial networks for heading direction decoding. Neural Networks Jiangrong Shen, Kejun Wang, Wei Gao, Jian K. Liu, Qi Xu, Gang Pan, Xiaodong Chen, Huajin Tang
2025	J	`jnl`	The roles of internal dynamics and proprioceptive feedback in motor cortex during movement execution. Neurocomputing Hongru Jiang, Xiangdong Bu, Zhiyan Zheng, Huajin Tang, Xiaochuan Pan, Yao Chen
2025	J	`jnl`	Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization. IEEE Trans. Neural Networks Learn. Syst. Ziming Wang, Yuhao Zhang, Shuang Lian, Xiaoxin Cui, Rui Yan, Huajin Tang
2025	A*	`conf`	Training High Performance Spiking Neural Network by Temporal Model Calibration. ICML Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng, Gang Pan
2025	Misc	`conf`	Two-Stream Spiking Neural Network for Event-based Action Recognition. ICASSP Shuang Lian, Qianhui Liu, Ziling Wang, Jia Su, Zhibin Zuo, Yi Zhang, Rui Yan, Huajin Tang
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`	ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. CoRR Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang
2024	B	`conf`	Adaptive Multi-Level Firing for Direct Training Deep Spiking Neural Networks. IJCNN Haosong Qi, Shuang Lian, Xu Li, Huajin Tang
2024	B	`conf`	An Event-based Feature Representation Method for Event Stream Classification using Deep Spiking Neural Networks. IJCNN Limei Liang, Runhao Jiang, Huajin Tang, Rui Yan
2024	J	`jnl`	Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum". CoRR MHD Anas Alsakkal, Runze Wang, Jayawan H. B. Wijekoon, Huajin Tang
2024	J	`jnl`	Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems. IEEE Trans. Neural Networks Learn. Syst. Lang Qin, Ziming Wang, Rui Yan, Huajin Tang
2024	J	`jnl`	Brain-Inspired Computing: A Systematic Survey and Future Trends. Proc. IEEE Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass
2024	A	`conf`	CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents. IROS Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang
2024	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung
2024	—	`conf`	CLFR-M: Continual Learning Framework for Robots via Human Feedback and Dynamic Memory. CIS-RAM Lei Wang, Yiming Fei, Huajin Tang, Rui Yan
2024	J	`jnl`	Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity. CoRR Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang
2024	J	`jnl`	Corrections to "Brain-Inspired Computing: A Systematic Survey and Future Trends". Proc. IEEE Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass
2024	J	`jnl`	Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model. CoRR Xin Du, Shifan Ye, Qian Zheng, Yangfan Hu, Rui Yan, Shunyu Qi, Shuyang Chen, Huajin Tang, Gang Pan, Shuiguang Deng
2024	J	`jnl`	Deep Pulse-Coupled Neural Networks. CoRR Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu
2024	—	`conf`	EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks. ECCV (60) Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang
2024	J	`jnl`	EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks. CoRR Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang
2024	J	`jnl`	Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. Huajin Tang
2024	J	`jnl`	Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II. Frontiers Comput. Neurosci. Lei Deng, Huajin Tang, Kaushik Roy
2024	J	`jnl`	Effective Active Learning Method for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Xiurui Xie, Bei Yu, Guisong Liu, Qiugang Zhan, Huajin Tang
2024	A*	`conf`	Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. AAAI Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang
2024	J	`jnl`	Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. CoRR Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
2024	J	`jnl`	Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model. CoRR Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang
2024	J	`jnl`	Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model. Neural Networks Shibo Zhou, Bo Yang, Mengwen Yuan, Runhao Jiang, Rui Yan, Gang Pan, Huajin Tang
2024	J	`jnl`	Event-Driven Spiking Learning Algorithm Using Aggregated Labels. IEEE Trans. Neural Networks Learn. Syst. Xiurui Xie, Yansong Chua, Guisong Liu, Malu Zhang, Guangchun Luo, Huajin Tang
2024	A*	`conf`	Event-ID: Intrinsic Decomposition Using an Event Camera. ACM Multimedia Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan
2024	A*	`conf`	FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor. NeurIPS Mengting Xu, De Ma, Huajin Tang, Qian Zheng, Gang Pan
2024	J	`jnl`	GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. CoRR Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang
2024	J	`jnl`	Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan
2024	J	`jnl`	IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network. IEEE Trans. Emerg. Top. Comput. Intell. Shuang Lian, Jiangrong Shen, Ziming Wang, Huajin Tang
2024	B	`conf`	Multi-scale Harmonic Mean Time Surfaces for Event-based Object Classification. IJCNN Panpan Yang, Ziming Wang, Huajin Tang, Rui Yan
2024	J	`jnl`	Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion. CoRR Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, Yue Wang, Huajin Tang, Yan Cui, Dezhong Yao, Daqing Guo
2024	J	`jnl`	Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion. Neural Networks Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, Yue Wang, Huajin Tang, Yan Cui, Dezhong Yao, Daqing Guo
2024	J	`jnl`	SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. CoRR Qiugang Zhan, Jinbo Cao, Xiurui Xie, Malu Zhang, Huajin Tang, Guisong Liu
2024	J	`jnl`	SPAIC: A Spike-Based Artificial Intelligence Computing Framework. IEEE Comput. Intell. Mag. Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Huajin Tang
2024	—	`conf`	Spike Neural Network of Motor Cortex Model for Arm Reaching Control. EMBC Hongru Jiang, Xiangdong Bu, Xiaohong Sui, Huajin Tang, Xiaochuan Pan, Yao Chen
2024	J	`jnl`	Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting. CoRR Weixing Zhang, Zongrui Li, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan
2024	J	`jnl`	Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. IEEE Trans. Image Process. Qiugang Zhan, Guisong Liu, Xiurui Xie, Ran Tao, Malu Zhang, Huajin Tang
2024	J	`jnl`	SpikingMiniLM: energy-efficient spiking transformer for natural language understanding. Sci. China Inf. Sci. Jiayu Zhang, Jiangrong Shen, Zeke Wang, Qinghai Guo, Rui Yan, Gang Pan, Huajin Tang
2024	A*	`conf`	Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. AAAI Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang
2024	A	`conf`	The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment. ICME Jianing Han, Jiangrong Shen, Qi Xu, Jian K. Liu, Huajin Tang
2024	J	`jnl`	Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions. CoRR Yangfan Hu, Qian Zheng, Guoqi Li, Huajin Tang, Gang Pan
2024	J	`jnl`	Trainable Spiking-YOLO for low-latency and high-performance object detection. Neural Networks Mengwen Yuan, Chengjun Zhang, Ziming Wang, Huixiang Liu, Gang Pan, Huajin Tang
2023	J	`jnl`	A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong
2023	A*	`conf`	A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. IJCAI Lang Qin, Rui Yan, Huajin Tang
2023	A*	`conf`	Adaptive Smoothing Gradient Learning for Spiking Neural Networks. ICML Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang
2023	J	`jnl`	Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. CoRR Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
2023	B	`conf`	Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. IJCNN Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang
2023	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass
2023	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass
2023	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass
2023	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass
2023	—	`conf`	CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks. ICONIP (3) Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang
2023	A*	`conf`	Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CVPR Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
2023	J	`jnl`	Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CoRR Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan
2023	J	`jnl`	Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning. CoRR De Ma, Xiaofei Jin, Shichun Sun, Yitao Li, Xundong Wu, Youneng Hu, Fangchao Yang, Huajin Tang, Xiaolei Zhu, Peng Lin, Gang Pan
2023	J	`jnl`	Dual memory model for experience-once task-incremental lifelong learning. Neural Networks Gehua Ma, Runhao Jiang, Lang Wang, Huajin Tang
2023	A*	`conf`	ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. AAAI Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
2023	J	`jnl`	ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. CoRR Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang
2023	J	`jnl`	Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. Huajin Tang
2023	A*	`conf`	Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. NeurIPS Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan
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`	Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks. CoRR Gehua Ma, Rui Yan, Huajin Tang
2023	J	`jnl`	Exploiting noise as a resource for computation and learning in spiking neural networks. Patterns Gehua Ma, Rui Yan, Huajin Tang
2023	J	`jnl`	Grid cell modeling with mapping representation of self-motion for path integration. Neural Comput. Appl. Jiru Wang, Rui Yan, Huajin Tang
2023	J	`jnl`	Human-Level Control Through Directly Trained Deep Spiking Q-Networks. IEEE Trans. Cybern. Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang
2023	A*	`conf`	Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang
2023	J	`jnl`	Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity. CoRR Xundong Wu, Pengfei Zhao, Zilin Yu, Lei Ma, Ka-Wa Yip, Huajin Tang, Gang Pan, Tiejun Huang
2023	J	`jnl`	Neuromorphic Auditory Perception by Neural Spiketrum. CoRR Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan
2023	J	`jnl`	Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area. Comput. Biol. Medicine Wei Gao, Jiangrong Shen, Yipeng Lin, Kejun Wang, Zheng Lin, Huajin Tang, Xiaodong Chen
2023	J	`jnl`	Spiking Deep Residual Networks. IEEE Trans. Neural Networks Learn. Syst. Yangfan Hu, Huajin Tang, Gang Pan
2023	J	`jnl`	Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection. CoRR Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao
2023	A	`conf`	Spiking Reinforcement Learning with Memory Ability for Mapless Navigation. IROS Bo Yang, Mengwen Yuan, Chengjun Zhang, Chaofei Hong, Gang Pan, Huajin Tang
2023	J	`jnl`	Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion. Int. J. Autom. Comput. Jianing Han, Ziming Wang, Jiangrong Shen, Huajin Tang
2023	A*	`conf`	Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. NeurIPS Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
2023	J	`jnl`	Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. CoRR Gehua Ma, Runhao Jiang, Rui Yan, 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
2023	J	`jnl`	Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan
2022	J	`jnl`	A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models. IEEE Trans. Cogn. Dev. Syst. Jiaxin Li, Huajin Tang, Rui Yan
2022	J	`jnl`	A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. CoRR Lang Qin, Rui Yan, Huajin Tang
2022	J	`jnl`	An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. Xiaolei Zhu, Baixin Zhao, De Ma, Huajin Tang
2022	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
2022	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
2022	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
2022	J	`jnl`	Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. Huajin Tang
2022	J	`jnl`	Effective Transfer Learning Algorithm in Spiking Neural Networks. IEEE Trans. Cybern. Qiugang Zhan, Guisong Liu, Xiurui Xie, Guolin Sun, Huajin Tang
2022	J	`jnl`	Event stream learning using spatio-temporal event surface. Neural Networks Junfei Dong, Runhao Jiang, Rong Xiao, Rui Yan, Huajin Tang
2022	Misc	`conf`	Event-Based Multimodal Spiking Neural Network with Attention Mechanism. ICASSP Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan
2022	J	`jnl`	Human-Level Control through Directly-Trained Deep Spiking Q-Networks. CoRR Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang
2022	A*	`conf`	Learning Local Event-based Descriptor for Patch-based Stereo Matching. ICRA Peigen Liu, Guang Chen, Zhijun Li, Huajin Tang, Alois C. Knoll
2022	A*	`conf`	Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. IJCAI Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan
2022	J	`jnl`	Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. CoRR Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan
2022	J	`jnl`	Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu
2022	J	`jnl`	SPAIC: A Spike-based Artificial Intelligence Computing Framework. CoRR Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Zhaohui Wu, Huajin Tang
2022	J	`jnl`	Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Trans. Cybern. Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
2022	J	`jnl`	Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization. CoRR Ziming Wang, Shuang Lian, Yuhao Zhang, Xiaoxin Cui, Rui Yan, Huajin Tang
2022	J	`jnl`	Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput. Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, 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
2021	J	`jnl`	A Novel Illumination-Robust Hand Gesture Recognition System With Event-Based Neuromorphic Vision Sensor. IEEE Trans Autom. Sci. Eng. Guang Chen, Zhongcong Xu, Zhijun Li, Huajin Tang, Sanqing Qu, Kejia Ren, Alois C. Knoll
2021	J	`jnl`	Deep Spiking Neural Networks With Binary Weights for Object Recognition. IEEE Trans. Cogn. Dev. Syst. Yixuan Wang, Yang Xu, Rui Yan, Huajin Tang
2021	J	`jnl`	Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives. Frontiers Neurorobotics Jeffrey L. Krichmar, James Leland Olds, Juan Vicente Sánchez-Andrés, Huajin Tang
2021	J	`jnl`	Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning. Frontiers Comput. Neurosci. Lei Deng, Huajin Tang, Kaushik Roy
2021	A*	`conf`	Event-based Action Recognition Using Motion Information and Spiking Neural Networks. IJCAI Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan
2021	J	`jnl`	Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. Neural Comput. Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang
2021	A*	`conf`	Indoor Lighting Estimation Using an Event Camera. CVPR Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan
2021	J	`jnl`	NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor. IEEE Trans. Inf. Forensics Secur. Guang Chen, Peigen Liu, Zhengfa Liu, Huajin Tang, Lin Hong, Jinhu Dong, Jörg Conradt, Alois C. Knoll
2021	J	`jnl`	Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
2021	J	`jnl`	Why grid cells function as a metric for space. Neural Networks Suogui Dang, Yining Wu, Rui Yan, Huajin Tang
2020	—	`conf`	A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. ICONIP (2) Jianxin Peng, Suogui Dang, Rui Yan, Huajin Tang
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
2020	—	`conf`	An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. SSCI Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang
2020	—	`conf`	An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network. ICACI Junwei Lu, Junfei Dong, Rui Yan, Huajin Tang
2020	J	`jnl`	An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification. Neural Comput. Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang
2020	J	`jnl`	Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment. Neural Networks Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan
2020	B	`conf`	Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. IJCNN Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang
2020	A*	`conf`	Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. AAAI Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan
2020	J	`jnl`	Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. CoRR Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan
2020	J	`jnl`	Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception. IEEE Signal Process. Mag. Guang Chen, Hu Cao, Jörg Conradt, Huajin Tang, Florian Röhrbein, Alois C. Knoll
2020	J	`jnl`	Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building. Frontiers Neurorobotics Jiru Wang, Rui Yan, Huajin Tang
2020	—	`conf`	Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. ICACI Biao Fang, Yuhao Zhang, Rui Yan, Huajin Tang
2020	J	`jnl`	Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. CoRR Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan
2020	J	`jnl`	Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang
2019	Misc	`conf`	A Multi-spike Approach for Robust Sound Recognition. ICASSP Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang
2019	J	`jnl`	A structure-time parallel implementation of spike-based deep learning. Neural Networks Xi Wu, Yixuan Wang, Huajin Tang, Rui Yan
2019	B	`conf`	A temporal encoding method based on expansion representation. IJCNN Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan
2019	—	`ed.`	Advances in Neural Networks - ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part I ISNN (1) Huchuan Lu, Huajin Tang, Zhanshan Wang
2019	—	`ed.`	Advances in Neural Networks - ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part II ISNN (2) Huchuan Lu, Huajin Tang, Zhanshan Wang
2019	—	`conf`	An Unsupervised Spiking Deep Neural Network for Object Recognition. ISNN (2) Zeyang Song, Xi Wu, Mengwen Yuan, Huajin Tang
2019	J	`jnl`	Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks. IEEE Trans. Cogn. Dev. Syst. Jiru Wang, Vui Ann Shim, Rui Yan, Huajin Tang, Fuchun Sun
2019	—	`conf`	Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots. ICONIP (4) Dengju Li, Rui Yan, Xiaoliang Xu, Huajin Tang
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	J	`jnl`	Guest Editorial Special Section on Emerging Information Sharing and Design Technologies on Robotics and Mechatronics Systems for Intelligent Manufacturing. IEEE Trans. Ind. Informatics Guilin Yang, I-Ming Chen, Chin-Yin Chen, Huajin Tang, Chi Zhang
2019	J	`jnl`	Image Neural Style Transfer With Preserving the Salient Regions. IEEE Access Yijun Liu, Zuoteng Xu, Wujian Ye, Ziwen Zhang, Shaowei Weng, Chin-Chen Chang, Huajin Tang
2019	J	`jnl`	Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. Neural Comput. Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang
2019	J	`jnl`	Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. CoRR Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan
2019	—	`conf`	Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks. SSCI Hanxiao Qian, Pengjie Gu, 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
2019	J	`jnl`	SeqDLF: Deep Local Feature-Based Image Sequence Representation for Visual Loop Closure Detection. Aust. J. Intell. Inf. Process. Syst. Suogui Dang, Jiru Wang, Rui Yan, Huajin Tang
2019	J	`jnl`	Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. CoRR Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang
2018	—	`conf`	A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. ICONIP (1) Dong Niu, Dengju Li, Rui Yan, Huajin Tang
2018	B	`conf`	A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks. IJCNN Yu Miao, Huajin Tang, Gang Pan
2018	A*	`conf`	CSNN: An Augmented Spiking based Framework with Perceptron-Inception. IJCAI Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan
2018	J	`jnl`	Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. IEEE Trans. Cogn. Dev. Syst. Huajin Tang, Rui Yan, Kay Chen Tan
2018	J	`jnl`	Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations. IEEE Trans. Neural Networks Learn. Syst. Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang
2018	J	`jnl`	Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". IEEE Trans. Cogn. Dev. Syst. Huajin Tang, Rui Yan, Kay Chen Tan
2018	J	`jnl`	Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard, Arindam Basu
2018	A*	`conf`	Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. IJCAI Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan
2018	J	`jnl`	Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Yajing Zheng, Shixin Li, Rui Yan, Huajin Tang, Kay Chen Tan
2018	J	`jnl`	Spike-based encoding and learning of spectrum features for robust sound recognition. Neurocomputing Rong Xiao, Huajin Tang, Pengjie Gu, Xiaoliang Xu
2018	J	`jnl`	Spiking Deep Residual Network. CoRR Yangfan Hu, Huajin Tang, Yueming Wang, Gang Pan
2017	J	`jnl`	A brain-inspired SLAM system based on ORB features. Int. J. Autom. Comput. Sun-Chun Zhou, Rui Yan, Jia-Xin Li, Ying-Ke Chen, Huajin Tang
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
2017	J	`jnl`	Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. IEEE Trans. Neural Networks Learn. Syst. Xi Peng, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi
2017	J	`jnl`	Cognitive memory and mapping in a brain-like system for robotic navigation. Neural Networks Huajin Tang, Weiwei Huang, Aditya Narayanamoorthy, Rui Yan
2017	J	`jnl`	Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering. IEEE Trans. Cybern. Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang
2017	J	`jnl`	Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence. IEEE Trans. Neural Networks Learn. Syst. Zhaohui Wu, Ryad Benosman, Huajin Tang, Shih-Chii Liu
2017	—	`book`	Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach Qiang Yu, Huajin Tang, Jun Hu, Kay Chen Tan
2017	—	`conf`	Spike trains encoding and threshold rescaling method for deep spiking neural networks. SSCI Yang Xu, Huajin Tang, Jinwei Xing, Hongying Li
2016	—	`conf`	A Spiking Neural Network Model for Sound Recognition. ICCSIP Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan
2016	J	`jnl`	A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan, Haizhou Li
2016	J	`jnl`	A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao
2016	J	`jnl`	Editorial. Memetic Comput. Hussein A. Abbass, Huajin Tang, Meng-Hiot Lim
2016	B	`conf`	Hebbian learning analysis of a grid cell based cognitive mapping system. CEC Jun Hu, Miaolong Yuan, Huajin Tang, Wei-Yun Yau
2016	J	`jnl`	How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier. IEEE Comput. Intell. Mag. Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li
2016	B	`conf`	Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network. CEC Huajin Tang, Boon Hwa Tan, Rui Yan
2015	J	`jnl`	A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control. IEEE Trans. Auton. Ment. Dev. Vui Ann Shim, Chris Stephen Naveen Ranjit, Bo Tian, Miaolong Yuan, Huajin Tang
2015	J	`jnl`	Adaptive Memetic Computing for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. Vui Ann Shim, Kay Chen Tan, Huajin Tang
2015	A*	`conf`	An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building. AAAI Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang, Haizhou Li
2015	—	`conf`	Applying low rank representation based spatial pyramid matching in welding image classification. RAM/CIS Aditya Narayanamoorthy, Xi Peng, Huajin Tang
2015	J	`jnl`	Connections Between Nuclear Norm and Frobenius Norm Based Representation. CoRR Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang
2015	J	`jnl`	Fast low rank representation based spatial pyramid matching for image classification. Knowl. Based Syst. Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi
2015	J	`jnl`	Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network. IEEE Trans. Neural Networks Learn. Syst. Bo Zhao, Ruoxi Ding, Shoushun Chen, Bernabé Linares-Barranco, Huajin Tang
2015	—	`conf`	Grasping control for a neuro-cognitive robot. RAM/CIS Boon Hwa Tan, Huajin Tang
2015	A*	`conf`	Robust Subspace Clustering via Thresholding Ridge Regression. AAAI Xi Peng, Zhang Yi, Huajin Tang
2014	J	`jnl`	A brain-inspired spiking neural network model with temporal encoding and learning. Neurocomputing Qiang Yu, Huajin Tang, Kay Chen Tan, Haoyong Yu
2014	B	`conf`	A new learning rule for classification of spatiotemporal spike patterns. IJCNN Qiang Yu, Huajin Tang, Kay Chen Tan
2014	B	`conf`	Bio-inspired categorization using event-driven feature extraction and spike-based learning. IJCNN Bo Zhao, Shoushun Chen, Huajin Tang
2014	A	`conf`	Direction-driven navigation using cognitive map for mobile robots. IROS Vui Ann Shim, Bo Tian, Miaolong Yuan, Huajin Tang, Haizhou Li
2014	—	`conf`	Event-driven simulation of the tempotron spiking neuron. BioCAS Bo Zhao, Qiang Yu, Ruoxi Ding, Shoushun Chen, Huajin Tang
2014	J	`jnl`	Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification. CoRR Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi
2014	A	`conf`	Flexible and robust robotic arm design and skill learning by using recurrent neural networks. IROS Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani
2014	J	`jnl`	Guest editorial: Special issue on brain inspired models of cognitive memory. Neurocomputing Huajin Tang, Kiruthika Ramanathan, Ning Ning
2014	J	`jnl`	Principal Coefficients Embedding: Theory and Algorithm. CoRR Xi Peng, Zhang Yi, Huajin Tang
2014	J	`jnl`	Real-Time Keypoint Recognition Using Restricted Boltzmann Machine. IEEE Trans. Neural Networks Learn. Syst. Miaolong Yuan, Huajin Tang, Haizhou Li
2014	J	`jnl`	Vision enhanced neuro-cognitive structure for robotic spatial cognition. Neurocomputing Weiwei Huang, Huajin Tang, Bo Tian
2013	—	`conf`	A Simplified Cerebellum-Based Model for Motor Control in Brain Based Devices. ICONIP (1) Vui Ann Shim, Chris Stephen Naveen Ranjit, Bo Tian, Huajin Tang
2013	J	`jnl`	A Spike-Timing-Based Integrated Model for Pattern Recognition. Neural Comput. Jun Hu, Huajin Tang, Kay Chen Tan, Haizhou Li, Luping Shi
2013	—	`conf`	A bio-inspired feedforward system for categorization of AER motion events. BioCAS Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang
2013	B	`conf`	A computationally efficient associative memory model of hippocampus CA3 by spiking neurons. IJCNN Chin Hiong Tan, Huajin Tang, Eng Yeow Cheu, Jun Hu
2013	B	`conf`	A hierarchical organized memory model using spiking neurons. IJCNN Jun Hu, Huajin Tang, Kay Chen Tan
2013	—	`conf`	A neuro-cognitive system and its application in robotics. ICCA Huajin Tang, Bo Tian, Vui Ann Shim, Kay Chen Tan
2013	J	`jnl`	Continuous attractors of discrete-time recurrent neural networks. Neural Comput. Appl. Jiali Yu, Huajin Tang, Haizhou Li
2013	J	`jnl`	Dynamical properties of continuous attractor neural network with background tuning. Neurocomputing Jiali Yu, Huajin Tang, Haizhou Li, Luping Shi
2013	J	`jnl`	Dynamics Analysis of a Population Decoding Model. IEEE Trans. Neural Networks Learn. Syst. Jiali Yu, Huajin Tang, Haizhou Li
2013	A	`conf`	RGB-D based cognitive map building and navigation. IROS Bo Tian, Vui Ann Shim, Miaolong Yuan, Chithra Srinivasan, Huajin Tang, Haizhou Li
2013	J	`jnl`	Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Qiang Yu, Huajin Tang, Kay Chen Tan, Haizhou Li
2013	—	`conf`	Spiking-timing based pattern recognition with real-world visual stimuli. CCMB Jun Hu, Huajin Tang, Kay Chen Tan
2013	Misc	`conf`	Temporal coding of local spectrogram features for robust sound recognition. ICASSP Jonathan William Dennis, Qiang Yu, Huajin Tang, Tran Huy Dat, Haizhou Li
2012	J	`jnl`	Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control [Application Notes]. IEEE Comput. Intell. Mag. Rui Yan, Keng Peng Tee, Yuanwei Chua, Haizhou Li, Huajin Tang
2012	B	`conf`	Learning real-world stimuli by single-spike coding and tempotron rule. IJCNN Huajin Tang, Qiang Yu, Kay Chen Tan
2012	J	`jnl`	Neural Networks and Learning Systems Come Together. IEEE Trans. Neural Networks Learn. Syst. Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda, Xuelong Li, Patricia Melin, Vadrevu Sree Hari Rao, Björn W. Schuller, Yi Shen, Huajin Tang, Cong Wang, Jian Yang, Derong Zhao, Derong Liu
2012	B	`conf`	Pattern recognition computation in a spiking neural network with temporal encoding and learning. IJCNN Qiang Yu, Kay Chen Tan, Huajin Tang
2012	J	`jnl`	Synaptic conditions for auto-associative memory storage and pattern completion in Jensen et al.'s model of hippocampal area CA3. J. Comput. Neurosci. Eng Yeow Cheu, Jiali Yu, Chin Hiong Tan, Huajin Tang
2011	—	`conf`	A Neuro-cognitive Robot for Spatial Navigation. ICONIP (1) Weiwei Huang, Huajin Tang, Jiali Yu, Chin Hiong Tan
2011	—	`conf`	Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons. ICONIP (1) Chin Hiong Tan, Eng Yeow Cheu, Jun Hu, Qiang Yu, Huajin Tang
2011	—	`conf`	Brain Inspired Cognitive System for Learning and Memory. ICONIP (1) Huajin Tang, Weiwei Huang
2011	J	`jnl`	Information Theoretic Learning: Reny's Entropy and Kernel Perspectives (Principe, J.; 2010) [Book Review]. IEEE Comput. Intell. Mag. Huajin Tang, Haizhou Li
2010	J	`jnl`	A discrete-time neural network for optimization problems with hybrid constraints. IEEE Trans. Neural Networks Huajin Tang, Haizhou Li, Zhang Yi
2010	—	`conf`	A gesture recognition system using Localist Attractor Networks for human-robot interaction. ROBIO Rui Yan, Keng Peng Tee, Yuanwei Chua, Huajin Tang
2010	J	`jnl`	Memory Dynamics in Attractor Networks with Saliency Weights. Neural Comput. Huajin Tang, Haizhou Li, Rui Yan
2010	B	`conf`	Restricted Boltzmann machine based algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation Huajin Tang, Vui Ann Shim, Kay Chen Tan, Jun Yong Chia
2009	J	`jnl`	Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks. IEEE Trans. Neural Networks Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang
2009	J	`jnl`	Natural scene statistics and the structure of orientation maps in the visual cortex. NeuroImage Jonathan J. Hunt, Clare E. Giacomantonio, Huajin Tang, Duncan Mortimer, Sajjida Jaffer, Vasily Vorobyov, Geoffery Ericksson, Frank Sengpiel, Geoffrey J. Goodhill
2009	—	`conf`	Nonlinear control approaches for SI engine model with uncertainties. CDC Rui Yan, Haizhou Li, Zhao Yang Dong, Huajin Tang
2009	J	`jnl`	Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks. IEEE Trans. Neural Networks Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang
2008	J	`jnl`	An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh
2006	B	`conf`	A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. IJCNN Eu Jin Teoh, Huajin Tang, Kay Chen Tan
2006	—	`conf`	An Improvement on Competitive Neural Networks Applied to Image Segmentation. ISNN (2) Rui Yan, Meng Joo Er, Huajin Tang
2006	J	`jnl`	Dynamics analysis and analog associative memory of networks with LT neurons. IEEE Trans. Neural Networks Huajin Tang, Kay Chen Tan, Eu Jin Teoh
2006	J	`jnl`	Improving local minima of columnar competitive model for TSPs. IEEE Trans. Circuits Syst. I Regul. Pap. Hong Qu, Zhang Yi, Huajin Tang
2005	J	`jnl`	Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons. Neural Comput. Huajin Tang, Kay Chen Tan, Weinian Zhang
2005	J	`jnl`	On parameter settings of Hopfield networks applied to traveling salesman problems. IEEE Trans. Circuits Syst. I Regul. Pap. Kay Chen Tan, Huajin Tang, Shuzhi Sam Ge
2005	J	`jnl`	Qualitative analysis for recurrent neural networks with linear threshold transfer functions. IEEE Trans. Circuits Syst. I Regul. Pap. Kay Chen Tan, Huajin Tang, Weinian Zhang
2004	J	`jnl`	A columnar competitive model for solving combinatorial optimization problems. IEEE Trans. Neural Networks Huajin Tang, Kay Chen Tan, Zhang Yi
2004	B	`conf`	Dynamical optimal learning for FNN and its applications. FUZZ-IEEE Huajin Tang, Kay Chen Tan, Tong Heng Lee
2004	J	`jnl`	Global exponential stability of discrete-time neural networks for constrained quadratic optimization. Neurocomputing Kay Chen Tan, Huajin Tang, Z. Yi
2004	J	`jnl`	New dynamical optimal learning for linear multilayer FNN. IEEE Trans. Neural Networks Kay Chen Tan, Huajin Tang