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Huajin Tang
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2020 – today
- 2024
- [j103]Yongduan Song
, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19(1): 24-77 (2024) - [j102]Chaofei Hong
, Mengwen Yuan
, Mengxiao Zhang
, Xiao Wang
, Chengjun Zhang, Jiaxin Wang
, Gang Pan
, Huajin Tang
:
SPAIC: A Spike-Based Artificial Intelligence Computing Framework. IEEE Comput. Intell. Mag. 19(1): 51-65 (2024) - [j101]Mengwen Yuan
, Chengjun Zhang, Ziming Wang
, Huixiang Liu, Gang Pan, Huajin Tang:
Trainable Spiking-YOLO for low-latency and high-performance object detection. Neural Networks 172: 106092 (2024) - [j100]Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, Yue Wang, Huajin Tang, Yan Cui, Dezhong Yao, Daqing Guo
:
Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion. Neural Networks 178: 106493 (2024) - [j99]Huajin Tang:
Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. 16(1): 3 (2024) - [j98]Shuang Lian
, Jiangrong Shen
, Ziming Wang
, Huajin Tang
:
IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2075-2085 (2024) - [j97]Houzhan Zhang
, Rong Xiao
, Jiaxin Li
, Chuangye Yan
, Huajin Tang
:
A High-Precision LiDAR-Inertial Odometry via Invariant Extended Kalman Filtering and Efficient Surfel Mapping. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j96]Qiugang Zhan
, Guisong Liu
, Xiurui Xie
, Ran Tao, Malu Zhang
, Huajin Tang
:
Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. IEEE Trans. Image Process. 33: 4274-4287 (2024) - [j95]Qi Xu
, Yaxin Li, Jiangrong Shen
, Pingping Zhang, Jian K. Liu
, Huajin Tang
, Gang Pan:
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9277-9285 (2024) - [j94]Lang Qin
, Ziming Wang
, Rui Yan
, Huajin Tang
:
Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10301-10311 (2024) - [c68]Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang:
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. AAAI 2024: 574-582 - [c67]Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang:
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. AAAI 2024: 611-619 - [i31]Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan:
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. CoRR abs/2401.03719 (2024) - [i30]Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu:
Deep Pulse-Coupled Neural Networks. CoRR abs/2401.08649 (2024) - [i29]Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang:
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks. CoRR abs/2403.12574 (2024) - [i28]Lang Qin, Ziming Wang, Runhao Jiang, Rui Yan, Huajin Tang:
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL. CoRR abs/2404.15597 (2024) - [i27]MHD Anas Alsakkal, Runze Wang, Jayawan H. B. Wijekoon, Huajin Tang:
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum". CoRR abs/2405.15927 (2024) - [i26]Hongze Sun, Rui Liu, Wuque Cai, Jun Wang, Yue Wang, Huajin Tang, Yan Cui, Dezhong Yao, Daqing Guo:
Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion. CoRR abs/2405.17903 (2024) - [i25]Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang:
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity. CoRR abs/2406.01883 (2024) - [i24]Qiugang Zhan, Jinbo Cao, Xiurui Xie, Malu Zhang, Huajin Tang, Guisong Liu:
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. CoRR abs/2406.12200 (2024) - 2023
- [j93]Wei Gao, Jiangrong Shen, Yipeng Lin
, Kejun Wang, Zheng Lin, Huajin Tang, Xiaodong Chen
:
Sequential sparse autoencoder for dynamic heading representation in ventral intraparietal area. Comput. Biol. Medicine 163: 107114 (2023) - [j92]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(1): 17-19 (2023) - [j91]Yongduan Song
, Dongrui Wu
, Carlos A. Coello Coello
, Georgios N. Yannakakis
, Huajin Tang
, Yiu-Ming Cheung
, Hussein A. Abbass
:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(2): 13-15 (2023) - [j90]Yongduan Song
, Dongrui Wu
, Carlos A. Coello Coello
, Georgios N. Yannakakis
, Huajin Tang
, Yiu-Ming Cheung
, Hussein A. Abbass
:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(3): 10-86 (2023) - [j89]Yongduan Song
, Dongrui Wu
, Carlos A. Coello Coello
, Georgios N. Yannakakis
, Huajin Tang
, Yiu-Ming Cheung
, Hussein A. Abbass
:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(4): 10-12 (2023) - [j88]Jianing Han
, Ziming Wang, Jiangrong Shen
, Huajin Tang:
Symmetric-threshold ReLU for Fast and Nearly Lossless ANN-SNN Conversion. Int. J. Autom. Comput. 20(3): 435-446 (2023) - [j87]Limiao Ning, Junfei Dong, Rong Xiao
, Kay Chen Tan
, Huajin Tang:
Event-driven spiking neural networks with spike-based learning. Memetic Comput. 15(2): 205-217 (2023) - [j86]Jiru Wang, Rui Yan, Huajin Tang:
Grid cell modeling with mapping representation of self-motion for path integration. Neural Comput. Appl. 35(32): 23465-23476 (2023) - [j85]Gehua Ma
, Runhao Jiang, Lang Wang, Huajin Tang:
Dual memory model for experience-once task-incremental lifelong learning. Neural Networks 166: 174-187 (2023) - [j84]Gehua Ma
, Rui Yan, Huajin Tang
:
Exploiting noise as a resource for computation and learning in spiking neural networks. Patterns 4(10): 100831 (2023) - [j83]Huajin Tang
:
Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. 15(1): 2 (2023) - [j82]Rong Xiao
, Yu Wan
, Baosong Yang
, Haibo Zhang
, Huajin Tang
, Derek F. Wong
, Boxing Chen
:
Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31: 439-447 (2023) - [j81]Guisong Liu
, Wenjie Deng
, Xiurui Xie
, Li Huang, Huajin Tang
:
Human-Level Control Through Directly Trained Deep Spiking Q-Networks. IEEE Trans. Cybern. 53(11): 7187-7198 (2023) - [j80]Yangfan Hu
, Huajin Tang
, Gang Pan
:
Spiking Deep Residual Networks. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5200-5205 (2023) - [j79]Junwei Dong, Boyu Hou
, Liang Feng
, Huajin Tang, Kay Chen Tan
, Yew-Soon Ong
:
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9040-9053 (2023) - [c66]Jiangrong Shen, Qi Xu, Jian K. Liu
, Yueming Wang, Gang Pan, Huajin Tang:
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. AAAI 2023: 86-93 - [c65]Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu
, Huajin Tang, Gang Pan:
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CVPR 2023: 7886-7895 - [c64]Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang:
Adaptive Smoothing Gradient Learning for Spiking Neural Networks. ICML 2023: 35798-35816 - [c63]Runhao Jiang, Jianing Han, Yingying Xue, Ping Wang, Huajin Tang:
CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks. ICONIP (3) 2023: 159-171 - [c62]Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang:
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI 2023: 3002-3010 - [c61]Lang Qin, Rui Yan, Huajin Tang:
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. IJCAI 2023: 3049-3057 - [c60]Xiaocui Lin, Jiangrong Shen, Jun Wen, Huajin Tang:
Bipolar Population Threshold Encoding for Audio Recognition with Deep Spiking Neural Networks. IJCNN 2023: 1-8 - [c59]Bo Yang, Mengwen Yuan, Chengjun Zhang, Chaofei Hong, Gang Pan, Huajin Tang:
Spiking Reinforcement Learning with Memory Ability for Mapless Navigation. IROS 2023: 1-8 - [c58]Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang:
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. NeurIPS 2023 - [c57]Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan:
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. NeurIPS 2023 - [i23]Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CoRR abs/2304.05627 (2023) - [i22]Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. CoRR abs/2304.09500 (2023) - [i21]Gehua Ma, Rui Yan, Huajin Tang:
Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks. CoRR abs/2305.16044 (2023) - [i20]Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang:
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. CoRR abs/2306.03693 (2023) - [i19]Xundong Wu, Pengfei Zhao, Zilin Yu, Lei Ma, Ka-Wa Yip, Huajin Tang, Gang Pan, Tiejun Huang:
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity. CoRR abs/2306.11950 (2023) - [i18]Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao:
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection. CoRR abs/2306.12010 (2023) - [i17]Gehua Ma
, Runhao Jiang, Rui Yan, Huajin Tang:
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes. CoRR abs/2306.12045 (2023) - [i16]Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan:
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR abs/2308.15150 (2023) - [i15]Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan:
Neuromorphic Auditory Perception by Neural Spiketrum. CoRR abs/2309.05430 (2023) - [i14]De Ma, Xiaofei Jin, Shichun Sun, Yitao Li, Xundong Wu, Youneng Hu, Fangchao Yang, Huajin Tang, Xiaolei Zhu, Peng Lin, Gang Pan:
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning. CoRR abs/2312.17582 (2023) - 2022
- [j78]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(1): 10-12 (2022) - [j77]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(2): 11-13 (2022) - [j76]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(3): 11-13 (2022) - [j75]Jiaxin Li, Dengju Li, Runhao Jiang, Rong Xiao, Huajin Tang
, Kay Chen Tan
:
Vision-Action Semantic Associative Learning Based on Spiking Neural Networks for Cognitive Robot. IEEE Comput. Intell. Mag. 17(4): 27-38 (2022) - [j74]Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang:
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput. 34(5): 1170-1188 (2022) - [j73]Junfei Dong, Runhao Jiang, Rong Xiao
, Rui Yan, Huajin Tang:
Event stream learning using spatio-temporal event surface. Neural Networks 154: 543-559 (2022) - [j72]Huajin Tang
:
Editorial IEEE Transactions on Cognitive and Developmental Systems. IEEE Trans. Cogn. Dev. Syst. 14(1): 2-3 (2022) - [j71]Xiaolei Zhu
, Baixin Zhao
, De Ma
, Huajin Tang
:
An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. 14(3): 847-856 (2022) - [j70]Jiaxin Li
, Huajin Tang
, Rui Yan
:
A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models. IEEE Trans. Cogn. Dev. Syst. 14(4): 1532-1543 (2022) - [j69]Qiang Yu
, Shenglan Li, Huajin Tang
, Longbiao Wang
, Jianwu Dang
, Kay Chen Tan
:
Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning. IEEE Trans. Cybern. 52(3): 1364-1376 (2022) - [j68]Qiugang Zhan
, Guisong Liu
, Xiurui Xie, Guolin Sun
, Huajin Tang
:
Effective Transfer Learning Algorithm in Spiking Neural Networks. IEEE Trans. Cybern. 52(12): 13323-13335 (2022) - [j67]Qi Xu
, Jiangrong Shen
, Xuming Ran, Huajin Tang
, Gang Pan
, Jian K. Liu
:
Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1935-1946 (2022) - [c56]Qianhui Liu, Dong Xing, Lang Feng
, Huajin Tang, Gang Pan:
Event-Based Multimodal Spiking Neural Network with Attention Mechanism. ICASSP 2022: 8922-8926 - [c55]Peigen Liu, Guang Chen, Zhijun Li, Huajin Tang, Alois C. Knoll:
Learning Local Event-based Descriptor for Patch-based Stereo Matching. ICRA 2022: 412-418 - [c54]Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan:
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. IJCAI 2022: 2471-2477 - [i13]Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang:
Human-Level Control through Directly-Trained Deep Spiking Q-Networks. CoRR abs/2201.07211 (2022) - [i12]Ziming Wang, Shuang Lian, Yuhao Zhang, Xiaoxin Cui, Rui Yan, Huajin Tang:
Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization. CoRR abs/2205.07473 (2022) - [i11]Chaofei Hong, Mengwen Yuan, Mengxiao Zhang, Xiao Wang, Chengjun Zhang, Jiaxin Wang, Gang Pan, Zhaohui Wu, Huajin Tang:
SPAIC: A Spike-based Artificial Intelligence Computing Framework. CoRR abs/2207.12750 (2022) - [i10]Lang Feng
, Qianhui Liu, Huajin Tang, De Ma, Gang Pan:
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. CoRR abs/2210.06386 (2022) - [i9]Lang Qin, Rui Yan, Huajin Tang:
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. CoRR abs/2211.11760 (2022) - 2021
- [j66]Lei Deng
, Huajin Tang, Kaushik Roy:
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning. Frontiers Comput. Neurosci. 15: 665662 (2021) - [j65]Jeffrey L. Krichmar, James Leland Olds
, Juan Vicente Sánchez-Andrés, Huajin Tang:
Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives. Frontiers Neurorobotics 15: 731733 (2021) - [j64]Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang:
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. Neural Comput. 33(9): 2439-2472 (2021) - [j63]Suogui Dang
, Yining Wu
, Rui Yan, Huajin Tang:
Why grid cells function as a metric for space. Neural Networks 142: 128-137 (2021) - [j62]Yixuan Wang, Yang Xu, Rui Yan
, Huajin Tang
:
Deep Spiking Neural Networks With Binary Weights for Object Recognition. IEEE Trans. Cogn. Dev. Syst. 13(3): 514-523 (2021) - [j61]Guang Chen
, Zhongcong Xu
, Zhijun Li
, Huajin Tang
, Sanqing Qu, Kejia Ren
, Alois C. Knoll
:
A Novel Illumination-Robust Hand Gesture Recognition System With Event-Based Neuromorphic Vision Sensor. IEEE Trans Autom. Sci. Eng. 18(2): 508-520 (2021) - [j60]Guang Chen
, Peigen Liu
, Zhengfa Liu
, Huajin Tang
, Lin Hong, Jinhu Dong, Jörg Conradt, Alois C. Knoll
:
NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor. IEEE Trans. Inf. Forensics Secur. 16: 923-936 (2021) - [j59]Qiang Yu
, Yanli Yao, Longbiao Wang
, Huajin Tang
, Jianwu Dang
, Kay Chen Tan
:
Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning. IEEE Trans. Neural Networks Learn. Syst. 32(2): 625-638 (2021) - [c53]Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan:
Indoor Lighting Estimation Using an Event Camera. CVPR 2021: 14760-14770 - [c52]Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan:
Event-based Action Recognition Using Motion Information and Spiking Neural Networks. IJCAI 2021: 1743-1749 - 2020
- [j58]Jiru Wang, Rui Yan, Huajin Tang:
Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building. Frontiers Neurorobotics 14: 592057 (2020) - [j57]Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang:
An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification. Neural Comput. 32(1): 182-204 (2020) - [j56]Qi Xu
, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan:
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment. Neural Networks 121: 512-519 (2020) - [j55]Guang Chen
, Hu Cao
, Jörg Conradt, Huajin Tang
, Florian Röhrbein, Alois C. Knoll
:
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception. IEEE Signal Process. Mag. 37(4): 34-49 (2020) - [j54]Rong Xiao, Huajin Tang
, Yuhao Ma, Rui Yan
, Garrick Orchard
:
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3649-3657 (2020) - [j53]Qianhui Liu
, Gang Pan
, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang
:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5300-5311 (2020) - [c51]Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. AAAI 2020: 1308-1315 - [c50]Junwei Lu, Junfei Dong, Rui Yan, Huajin Tang:
An Event-based Categorization Model Using Spatio-temporal Features in a Spiking Neural Network. ICACI 2020: 385-390 - [c49]Biao Fang, Yuhao Zhang, Rui Yan, Huajin Tang:
Spike Trains Encoding Optimization for Spiking Neural Networks Implementation in FPGA. ICACI 2020: 412-418 - [c48]Jianxin Peng
, Suogui Dang
, Rui Yan, Huajin Tang:
A Novel Mathematic Entorhinal-Hippocampal System Building Cognitive Map. ICONIP (2) 2020: 3-14 - [c47]Xianglan Wen, Pengjie Gu, Rui Yan, Huajin Tang:
Deep Spiking Neural Network Using Spatio-temporal Backpropagation with Variable Resistance. IJCNN 2020: 1-7 - [c46]Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang:
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. SSCI 2020: 3049-3056 - [i8]Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. CoRR abs/2002.06199 (2020) - [i7]Qiang Yu, Shenglan Li, Huajin Tang, Longbiao Wang, Jianwu Dang, Kay Chen Tan:
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning. CoRR abs/2005.00723 (2020)
2010 – 2019
- 2019
- [j52]Yijun Liu, Zuoteng Xu, Wujian Ye
, Ziwen Zhang, Shaowei Weng, Chin-Chen Chang, Huajin Tang:
Image Neural Style Transfer With Preserving the Salient Regions. IEEE Access 7: 40027-40037 (2019) - [j51]Suogui Dang, Jiru Wang, Rui Yan, Huajin Tang:
SeqDLF: Deep Local Feature-Based Image Sequence Representation for Visual Loop Closure Detection. Aust. J. Intell. Inf. Process. Syst. 16(2): 9-18 (2019) - [j50]Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang:
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. Neural Comput. 31(12): 2368-2389 (2019) - [j49]Xi Wu, Yixuan Wang, Huajin Tang, Rui Yan:
A structure-time parallel implementation of spike-based deep learning. Neural Networks 113: 72-78 (2019) - [j48]Jiru Wang
, Vui Ann Shim, Rui Yan
, Huajin Tang
, Fuchun Sun:
Automatic Object Searching and Behavior Learning for Mobile Robots in Unstructured Environment by Deep Belief Networks. IEEE Trans. Cogn. Dev. Syst. 11(3): 395-404 (2019) - [j47]Guilin Yang, I-Ming Chen
, Chin-Yin Chen
, Huajin Tang
, Chi Zhang
:
Guest Editorial Special Section on Emerging Information Sharing and Design Technologies on Robotics and Mechatronics Systems for Intelligent Manufacturing. IEEE Trans. Ind. Informatics 15(3): 1643-1646 (2019) - [c45]Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang:
A Multi-spike Approach for Robust Sound Recognition. ICASSP 2019: 890-894 - [c44]Dengju Li, Rui Yan, Xiaoliang Xu, Huajin Tang:
Dance to Music Expressively: A Brain-Inspired System Based on Audio-Semantic Model for Cognitive Development of Robots. ICONIP (4) 2019: 433-440 - [c43]Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang:
STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks. IJCAI 2019: 1366-1372 - [c42]Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang:
Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. IJCAI 2019: 1445-1451 - [c41]Yan Dai, Mengwen Yuan, Huajin Tang, Rui Yan:
A temporal encoding method based on expansion representation. IJCNN 2019: 1-8 - [c40]Zeyang Song, Xi Wu, Mengwen Yuan, Huajin Tang:
An Unsupervised Spiking Deep Neural Network for Object Recognition. ISNN (2) 2019: 361-370 - [c39]Hanxiao Qian, Pengjie Gu, Rui Yan, Huajin Tang:
Robust Multipitch Estimation of Piano Sounds Using Deep Spiking Neural Networks. SSCI 2019: 2335-2341 - [e2]Huchuan Lu, Huajin Tang, Zhanshan Wang:
Advances in Neural Networks - ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11554, Springer 2019, ISBN 978-3-030-22795-1 [contents] - [e1]Huchuan Lu, Huajin Tang, Zhanshan Wang:
Advances in Neural Networks - ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10-12, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11555, Springer 2019, ISBN 978-3-030-22807-1 [contents] - [i6]Qiang Yu, Yanli Yao, Longbiao Wang, Huajin Tang, Jianwu Dang, Kay Chen Tan:
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning. CoRR abs/1902.01094 (2019) - [i5]Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu
, Huajin Tang:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. CoRR abs/1911.08261 (2019) - 2018
- [j46]Rong Xiao, Huajin Tang, Pengjie Gu, Xiaoliang Xu:
Spike-based encoding and learning of spectrum features for robust sound recognition. Neurocomputing 313: 65-73 (2018) - [j45]Huajin Tang
, Tiejun Huang
, Jeffrey L. Krichmar, Garrick Orchard
, Arindam Basu
:
Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. 10(2): 122-125 (2018) - [j44]Huajin Tang
, Rui Yan
, Kay Chen Tan
:
Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory. IEEE Trans. Cogn. Dev. Syst. 10(3): 751-761 (2018) - [j43]Huajin Tang, Rui Yan, Kay Chen Tan
:
Corrections to "Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory". IEEE Trans. Cogn. Dev. Syst. 10(4): 1165 (2018) - [j42]Xi Peng
, Canyi Lu, Zhang Yi, Huajin Tang
:
Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations. IEEE Trans. Neural Networks Learn. Syst. 29(1): 218-224 (2018) - [j41]Yajing Zheng, Shixin Li, Rui Yan
, Huajin Tang
, Kay Chen Tan
:
Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5823-5833 (2018) - [c38]Dong Niu, Dengju Li, Rui Yan, Huajin Tang:
A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. ICONIP (1) 2018: 582-593 - [c37]Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu
, Zhaohui Wu, Gang Pan:
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. IJCAI 2018: 1597-1603 - [c36]Qi Xu, Yu Qi, Hang Yu
, Jiangrong Shen, Huajin Tang, Gang Pan:
CSNN: An Augmented Spiking based Framework with Perceptron-Inception. IJCAI 2018: 1646-1652 - [c35]Yu Miao, Huajin Tang, Gang Pan:
A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks. IJCNN 2018: 1-7 - [i4]Yangfan Hu, Huajin Tang, Yueming Wang, Gang Pan:
Spiking Deep Residual Network. CoRR abs/1805.01352 (2018) - 2017
- [b1]Qiang Yu, Huajin Tang, Jun Hu, Kay Chen Tan
:
Neuromorphic Cognitive Systems - A Learning and Memory Centered Approach. Intelligent Systems Reference Library 126, Springer 2017, ISBN 978-3-319-55308-5, pp. 1-172 - [j40]Sun-Chun Zhou
, Rui Yan
, Jia-Xin Li, Ying-Ke Chen, Huajin Tang:
A brain-inspired SLAM system based on ORB features. Int. J. Autom. Comput. 14(5): 564-575 (2017) - [j39]Huajin Tang, Weiwei Huang, Aditya Narayanamoorthy
, Rui Yan:
Cognitive memory and mapping in a brain-like system for robotic navigation. Neural Networks 87: 27-37 (2017) - [j38]Xi Peng, Zhiding Yu, Zhang Yi, Huajin Tang:
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering. IEEE Trans. Cybern. 47(4): 1053-1066 (2017) - [j37]Zhaohui Wu, Ryad Benosman, Huajin Tang, Shih-Chii Liu:
Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence. IEEE Trans. Neural Networks Learn. Syst. 28(4): 774-777 (2017) - [j36]Xi Peng
, Bo Zhao, Rui Yan, Huajin Tang, Zhang Yi:
Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors. IEEE Trans. Neural Networks Learn. Syst. 28(4): 791-803 (2017) - [c34]Yuhao Ma, Rong Xiao, Huajin Tang:
An Event-Driven Computational System with Spiking Neurons for Object Recognition. ICONIP (6) 2017: 453-461 - [c33]Na Guo, Rong Xiao, Shaobing Gao, Huajin Tang:
A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network. CIS/RAM 2017: 484-489 - [c32]Yang Xu, Huajin Tang, Jinwei Xing
, Hongying Li:
Spike trains encoding and threshold rescaling method for deep spiking neural networks. SSCI 2017: 1-6 - 2016
- [j35]Jun Hu, Huajin Tang, Kay Chen Tan
, Haizhou Li
:
How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier. IEEE Comput. Intell. Mag. 11(2): 56-68 (2016) - [j34]Hussein A. Abbass, Huajin Tang, Meng-Hiot Lim:
Editorial. Memetic Comput. 8(1): 1-2 (2016) - [j33]Qiang Yu, Rui Yan, Huajin Tang, Kay Chen Tan
, Haizhou Li
:
A Spiking Neural Network System for Robust Sequence Recognition. IEEE Trans. Neural Networks Learn. Syst. 27(3): 621-635 (2016) - [j32]Xi Peng
, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao:
A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2499-2512 (2016) - [c31]Huajin Tang, Boon Hwa Tan, Rui Yan:
Robot-to-human handover with obstacle avoidance via continuous time Recurrent Neural Network. CEC 2016: 1204-1211 - [c30]Jun Hu, Miaolong Yuan, Huajin Tang, Wei-Yun Yau:
Hebbian learning analysis of a grid cell based cognitive mapping system. CEC 2016: 1212-1218 - [c29]Rong Xiao, Rui Yan, Huajin Tang, Kay Chen Tan
:
A Spiking Neural Network Model for Sound Recognition. ICCSIP 2016: 584-594 - 2015
- [j31]Xi Peng
, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast low rank representation based spatial pyramid matching for image classification. Knowl. Based Syst. 90: 14-22 (2015) - [j30]Vui Ann Shim, Chris Stephen Naveen Ranjit, Bo Tian, Miaolong Yuan, Huajin Tang:
A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control. IEEE Trans. Auton. Ment. Dev. 7(1): 26-38 (2015) - [j29]Vui Ann Shim, Kay Chen Tan
, Huajin Tang:
Adaptive Memetic Computing for Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 45(4): 610-621 (2015) - [j28]Bo Zhao, Ruoxi Ding, Shoushun Chen, Bernabé Linares-Barranco
, Huajin Tang:
Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1963-1978 (2015) - [c28]Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang, Haizhou Li:
An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building. AAAI 2015: 586-592 - [c27]Xi Peng, Zhang Yi, Huajin Tang:
Robust Subspace Clustering via Thresholding Ridge Regression. AAAI 2015: 3827-3833 - [c26]Boon Hwa Tan, Huajin Tang:
Grasping control for a neuro-cognitive robot. RAM/CIS 2015: CIS:185-190 - [c25]Aditya Narayanamoorthy, Xi Peng, Huajin Tang:
Applying low rank representation based spatial pyramid matching in welding image classification. RAM/CIS 2015: CIS:208-211 - [i3]Xi Peng, Canyi Lu, Zhang Yi, Huajin Tang:
Connections Between Nuclear Norm and Frobenius Norm Based Representation. CoRR abs/1502.07423 (2015) - 2014
- [j27]Weiwei Huang, Huajin Tang, Bo Tian:
Vision enhanced neuro-cognitive structure for robotic spatial cognition. Neurocomputing 129: 49-58 (2014) - [j26]Huajin Tang, Kiruthika Ramanathan, Ning Ning
:
Guest editorial: Special issue on brain inspired models of cognitive memory. Neurocomputing 138: 1-2 (2014) - [j25]Qiang Yu, Huajin Tang, Kay Chen Tan
, Haoyong Yu
:
A brain-inspired spiking neural network model with temporal encoding and learning. Neurocomputing 138: 3-13 (2014) - [j24]Miaolong Yuan, Huajin Tang, Haizhou Li
:
Real-Time Keypoint Recognition Using Restricted Boltzmann Machine. IEEE Trans. Neural Networks Learn. Syst. 25(11): 2119-2126 (2014) - [c24]Bo Zhao, Qiang Yu, Ruoxi Ding, Shoushun Chen, Huajin Tang:
Event-driven simulation of the tempotron spiking neuron. BioCAS 2014: 667-670 - [c23]Bo Zhao, Shoushun Chen, Huajin Tang:
Bio-inspired categorization using event-driven feature extraction and spike-based learning. IJCNN 2014: 3845-3852 - [c22]Qiang Yu, Huajin Tang, Kay Chen Tan
:
A new learning rule for classification of spatiotemporal spike patterns. IJCNN 2014: 3853-3858 - [c21]Boon Hwa Tan, Huajin Tang, Rui Yan, Jun Tani:
Flexible and robust robotic arm design and skill learning by using recurrent neural networks. IROS 2014: 522-529 - [c20]Vui Ann Shim, Bo Tian, Miaolong Yuan, Huajin Tang, Haizhou Li
:
Direction-driven navigation using cognitive map for mobile robots. IROS 2014: 2639-2646 - [i2]Xi Peng, Rui Yan, Bo Zhao, Huajin Tang, Zhang Yi:
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification. CoRR abs/1409.5786 (2014) - [i1]Xi Peng, Zhang Yi, Huajin Tang:
Principal Coefficients Embedding: Theory and Algorithm. CoRR abs/1411.4419 (2014) - 2013
- [j23]Jiali Yu, Huajin Tang, Haizhou Li
, Luping Shi:
Dynamical properties of continuous attractor neural network with background tuning. Neurocomputing 99: 439-447 (2013) - [j22]Jiali Yu, Huajin Tang, Haizhou Li
:
Continuous attractors of discrete-time recurrent neural networks. Neural Comput. Appl. 23(1): 89-96 (2013) - [j21]Jun Hu, Huajin Tang, Kay Chen Tan
, Haizhou Li
, Luping Shi:
A Spike-Timing-Based Integrated Model for Pattern Recognition. Neural Comput. 25(2): 450-472 (2013) - [j20]Jiali Yu, Huajin Tang, Haizhou Li
:
Dynamics Analysis of a Population Decoding Model. IEEE Trans. Neural Networks Learn. Syst. 24(3): 498-503 (2013) - [j19]Qiang Yu, Huajin Tang, Kay Chen Tan
, Haizhou Li
:
Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1539-1552 (2013) - [c19]Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang:
A bio-inspired feedforward system for categorization of AER motion events. BioCAS 2013: 9-12 - [c18]Jun Hu, Huajin Tang, Kay Chen Tan
:
Spiking-timing based pattern recognition with real-world visual stimuli. CCMB 2013: 23-28 - [c17]Jonathan William Dennis, Qiang Yu, Huajin Tang, Tran Huy Dat, Haizhou Li
:
Temporal coding of local spectrogram features for robust sound recognition. ICASSP 2013: 803-807 - [c16]Huajin Tang, Bo Tian, Vui Ann Shim, Kay Chen Tan
:
A neuro-cognitive system and its application in robotics. ICCA 2013: 406-411 - [c15]Vui Ann Shim, Chris Stephen Naveen Ranjit, Bo Tian, Huajin Tang:
A Simplified Cerebellum-Based Model for Motor Control in Brain Based Devices. ICONIP (1) 2013: 520-527 - [c14]Jun Hu, Huajin Tang, Kay Chen Tan
:
A hierarchical organized memory model using spiking neurons. IJCNN 2013: 1-6 - [c13]Chin Hiong Tan, Huajin Tang, Eng Yeow Cheu, Jun Hu:
A computationally efficient associative memory model of hippocampus CA3 by spiking neurons. IJCNN 2013: 1-8 - [c12]Bo Tian, Vui Ann Shim, Miaolong Yuan, Chithra Srinivasan, Huajin Tang, Haizhou Li
:
RGB-D based cognitive map building and navigation. IROS 2013: 1562-1567 - 2012
- [j18]Rui Yan, Keng Peng Tee, Yuanwei Chua, Haizhou Li
, Huajin Tang:
Gesture Recognition Based on Localist Attractor Networks with Application to Robot Control [Application Notes]. IEEE Comput. Intell. Mag. 7(1): 64-74 (2012) - [j17]Eng Yeow Cheu, Jiali Yu, Chin Hiong Tan, Huajin Tang:
Synaptic conditions for auto-associative memory storage and pattern completion in Jensen et al.'s model of hippocampal area CA3. J. Comput. Neurosci. 33(3): 435-447 (2012) - [j16]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
:
Neural Networks and Learning Systems Come Together. IEEE Trans. Neural Networks Learn. Syst. 23(1): 1-6 (2012) - [c11]Huajin Tang, Qiang Yu, Kay Chen Tan
:
Learning real-world stimuli by single-spike coding and tempotron rule. IJCNN 2012: 1-6 - [c10]Qiang Yu, Kay Chen Tan
, Huajin Tang:
Pattern recognition computation in a spiking neural network with temporal encoding and learning. IJCNN 2012: 1-7 - 2011
- [j15]Huajin Tang, Haizhou Li:
Information Theoretic Learning: Reny's Entropy and Kernel Perspectives (Principe, J.; 2010) [Book Review]. IEEE Comput. Intell. Mag. 6(3): 60-62 (2011) - [c9]Huajin Tang, Weiwei Huang:
Brain Inspired Cognitive System for Learning and Memory. ICONIP (1) 2011: 477-484 - [c8]Weiwei Huang, Huajin Tang, Jiali Yu, Chin Hiong Tan:
A Neuro-cognitive Robot for Spatial Navigation. ICONIP (1) 2011: 485-492 - [c7]Chin Hiong Tan, Eng Yeow Cheu, Jun Hu, Qiang Yu, Huajin Tang:
Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons. ICONIP (1) 2011: 493-500 - 2010
- [j14]Huajin Tang, Haizhou Li
, Rui Yan:
Memory Dynamics in Attractor Networks with Saliency Weights. Neural Comput. 22(7): 1899-1926 (2010) - [j13]Huajin Tang, Haizhou Li
, Zhang Yi:
A discrete-time neural network for optimization problems with hybrid constraints. IEEE Trans. Neural Networks 21(7): 1184-1189 (2010) - [c6]Huajin Tang, Vui Ann Shim, Kay Chen Tan
, Jun Yong Chia:
Restricted Boltzmann machine based algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Rui Yan, Keng Peng Tee, Yuanwei Chua, Huajin Tang:
A gesture recognition system using Localist Attractor Networks for human-robot interaction. ROBIO 2010: 1217-1222
2000 – 2009
- 2009
- [j12]Jonathan J. Hunt, Clare E. Giacomantonio, Huajin Tang, Duncan Mortimer, Sajjida Jaffer, Vasily Vorobyov
, Geoffery Ericksson, Frank Sengpiel
, Geoffrey J. Goodhill
:
Natural scene statistics and the structure of orientation maps in the visual cortex. NeuroImage 47(1): 157-172 (2009) - [j11]Lan Zou
, Huajin Tang, Kay Chen Tan
, Weinian Zhang:
Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks. IEEE Trans. Neural Networks 20(1): 175-180 (2009) - [j10]Lan Zou
, Huajin Tang, Kay Chen Tan
, Weinian Zhang:
Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks. IEEE Trans. Neural Networks 20(11): 1842-1851 (2009) - [c4]Rui Yan, Haizhou Li
, Zhao Yang Dong
, Huajin Tang:
Nonlinear control approaches for SI engine model with uncertainties. CDC 2009: 5440-5445 - 2008
- [j9]Eu Jin Teoh, Kay Chen Tan
, Huajin Tang, Cheng Xiang
, Chi Keong Goh
:
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing 71(7-9): 1359-1372 (2008) - 2006
- [j8]Hong Qu, Zhang Yi, Huajin Tang:
Improving local minima of columnar competitive model for TSPs. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(6): 1353-1362 (2006) - [j7]Huajin Tang, Kay Chen Tan
, Eu Jin Teoh:
Dynamics analysis and analog associative memory of networks with LT neurons. IEEE Trans. Neural Networks 17(2): 409-418 (2006) - [c3]Eu Jin Teoh, Huajin Tang, Kay Chen Tan:
A Columnar Competitive Model with Simulated Annealing for Solving Combinatorial Optimization Problems. IJCNN 2006: 3254-3259 - [c2]Rui Yan, Meng Joo Er, Huajin Tang:
An Improvement on Competitive Neural Networks Applied to Image Segmentation. ISNN (2) 2006: 498-503 - 2005
- [j6]Huajin Tang, Kay Chen Tan
, Weinian Zhang:
Analysis of Cyclic Dynamics for Networks of Linear Threshold Neurons. Neural Comput. 17(1): 97-114 (2005) - [j5]Kay Chen Tan
, Huajin Tang, Shuzhi Sam Ge
:
On parameter settings of Hopfield networks applied to traveling salesman problems. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(5): 994-1002 (2005) - [j4]Kay Chen Tan
, Huajin Tang, Weinian Zhang:
Qualitative analysis for recurrent neural networks with linear threshold transfer functions. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(5): 1003-1012 (2005) - 2004
- [j3]Kay Chen Tan
, Huajin Tang, Z. Yi:
Global exponential stability of discrete-time neural networks for constrained quadratic optimization. Neurocomputing 56: 399-406 (2004) - [j2]Kay Chen Tan
, Huajin Tang:
New dynamical optimal learning for linear multilayer FNN. IEEE Trans. Neural Networks 15(6): 1562-1570 (2004) - [j1]Huajin Tang, Kay Chen Tan
, Zhang Yi:
A columnar competitive model for solving combinatorial optimization problems. IEEE Trans. Neural Networks 15(6): 1568-1574 (2004) - [c1]Huajin Tang, Kay Chen Tan, Tong Heng Lee:
Dynamical optimal learning for FNN and its applications. FUZZ-IEEE 2004: 443-447
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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