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2020 – today
- 2026
[j101]Jiahong Zhang, Kexin Wang, Man Yao, Han Xu, Peng Zhou, Bo Xu, Guoqi Li:
Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons. Neural Networks 193: 107950 (2026)- 2025
- [j100]Yifan Hu, Guoqi Li, Lei Deng:
Knowledge distillation for spiking neural networks: aligning features and saliency. Neuromorph. Comput. Eng. 5(3): 34002 (2025) - [j99]Jiahong Zhang, Guoqi Li, Qiaoyi Su, Lihong Cao, Yonghong Tian, Bo Xu:
Enabling scale and rotation invariance in convolutional neural networks with retina like transformation. Neural Networks 187: 107395 (2025) - [j98]Man Yao, Xuerui Qiu, Tianxiang Hu, Jiakui Hu, Yuhong Chou, Keyu Tian, Jianxing Liao, Luziwei Leng, Bo Xu, Guoqi Li:
Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2973-2990 (2025) - [j97]Zhaokun Zhou, Kaiwei Che, Jun Niu, Man Yao, Guoqi Li, Li Yuan, Guibo Luo, Yuesheng Zhu:
Spatial-Temporal Spiking Feature Pruning in Spiking Transformer. IEEE Trans. Cogn. Dev. Syst. 17(3): 644-658 (2025) - [j96]Jiajie Yu, Xing Lu, Lijun Guo, Chong Wang, Guoqi Li, Jiangbo Qian:
Event-Based Video Reconstruction Via Spatial-Temporal Heterogeneous Spiking Neural Network. IEEE Trans. Circuits Syst. Video Technol. 35(9): 8478-8494 (2025) - [j95]Yahu Yang, Yuntao Du, Li Zhang, Guoqi Li, Yushi Chen, Guorui Cheng, Shenmin Song:
DAFDet: A Unified Dynamic SAR Target Detection Architecture With Asymptotic Fusion Enhancement and Feature Encoding Decoupling. IEEE Trans. Geosci. Remote. Sens. 63: 1-22 (2025) - [j94]Fanghong Guo, Shengwei Li, Hao Yang, Chen Dong, Yifang Chen, Guoqi Li:
An Efficient Sequential Decentralized Federated Progressive Channel Pruning Strategy for Smart Grid Electricity Theft Detection. IEEE Trans. Ind. Informatics 21(3): 2393-2402 (2025) - [j93]Yifan Hu, Lei Deng, Yujie Wu, Man Yao, Guoqi Li:
Advancing Spiking Neural Networks Toward Deep Residual Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2353-2367 (2025) - [c31]Zhenxin Lei, Man Yao, Jiakui Hu, Xinhao Luo, Yanye Lu, Bo Xu, Guoqi Li:
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation. AAAI 2025: 1364-1372 - [c30]Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li:
Efficient 3D Recognition with Event-driven Spike Sparse Convolution. AAAI 2025: 20086-20094 - [c29]Kexin Wang, Yuhong Chou, Di Shang, Shijie Mei, Jiahong Zhang, Yanbin Huang, Man Yao, Bo Xu, Guoqi Li:
MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling. ACL (1) 2025: 27459-27470 - [i47]Zihao Mei, Jianhao Li, Bolin Zhang, Chong Wang, Lijun Guo, Guoqi Li, Jiangbo Qian:
Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT. CoRR abs/2501.06786 (2025) - [i46]Chenxiang Ma, Xinyi Chen, Yanchen Li, Qu Yang, Yujie Wu, Guoqi Li, Gang Pan, Huajin Tang, Kay Chen Tan, Jibin Wu:
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. CoRR abs/2502.09449 (2025) - [i45]Shiao Wang, Xiao Wang, Bo Jiang, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian, Jin Tang:
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset. CoRR abs/2504.05830 (2025) - [i44]Xuerui Qiu, Peixi Wu, Yaozhi Wen, Shaowei Gu, Yuqi Pan, Xinhao Luo, Bo Xu, Guoqi Li:
SVL: Spike-based Vision-language Pretraining for Efficient 3D Open-world Understanding. CoRR abs/2505.17674 (2025) - [i43]Yuqi Pan, Yupeng Feng, Jinghao Zhuang, Siyu Ding, Zehao Liu, Bohan Sun, Yuhong Chou, Han Xu, Xuerui Qiu, Anlin Deng, Anjie Hu, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, Guoliang Sun, Bo Xu, Guoqi Li:
SpikingBrain Technical Report: Spiking Brain-inspired Large Models. CoRR abs/2509.05276 (2025) - 2024
- [j92]Ying Ma, Haijie Lou, Ming Yan, Fanghui Sun, Guoqi Li:
Spatio-temporal fusion graph convolutional network for traffic flow forecasting. Inf. Fusion 104: 102196 (2024) - [j91]Linxuan He, Yunhui Xu, Weihua He, Yihan Lin, Yang Tian, Yujie Wu, Wenhui Wang, Ziyang Zhang, Junwei Han, Yonghong Tian, Bo Xu, Guoqi Li:
Network model with internal complexity bridges artificial intelligence and neuroscience. Nat. Comput. Sci. 4(8): 584-599 (2024) - [j90]Qiaoyi Su, Weihua He, Xiaobao Wei, Bo Xu, Guoqi Li:
Multi-scale full spike pattern for semantic segmentation. Neural Networks 176: 106330 (2024) - [j89]Qiaoyi Su, Shijie Mei, Xingrun Xing, Man Yao, Jiajun Zhang, Bo Xu, Guoqi Li:
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT. Neural Networks 180: 106630 (2024) - [j88]Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass:
Brain-Inspired Computing: A Systematic Survey and Future Trends. Proc. IEEE 112(6): 544-584 (2024) - [j87]Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass:
Corrections to "Brain-Inspired Computing: A Systematic Survey and Future Trends". Proc. IEEE 112(12): 1850 (2024) - [j86]Guoqi Li, Emre Neftci, Rong Xiao, Pablo Lanillos, Kaushik Roy:
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing. IEEE Trans. Cogn. Dev. Syst. 16(5): 1623-1625 (2024) - [j85]Ying Ma, Gang Chen, Guoqi Li:
Improving Graph Collaborative Filtering via Spike Signal Embedding Perturbation. IEEE Trans. Cogn. Dev. Syst. 16(5): 1688-1697 (2024) - [j84]Xiaoshan Wu, Weihua He, Man Yao, Ziyang Zhang, Yaoyuan Wang, Bo Xu, Guoqi Li:
Event-Based Depth Prediction With Deep Spiking Neural Network. IEEE Trans. Cogn. Dev. Syst. 16(6): 2008-2018 (2024) - [j83]Xiang Li, Guoqi Li, Leitao Gao, Lock Yue Chew, Gaoxi Xiao:
Structural Controllability of Multiplex Networks With the Minimum Number of Driver Nodes. IEEE Trans. Control. Netw. Syst. 11(4): 2088-2100 (2024) - [j82]Jiawei Sun, Yukun Hao, Jiangshuai Huang, Changyun Wen, Guoqi Li:
Optimal Control of Temporal Networks With Variable Input and Node-Source Connection. IEEE Trans. Cybern. 54(2): 999-1010 (2024) - [j81]Ying Ma, Xiaoyan Zou, Qizheng Pan, Ming Yan, Guoqi Li:
Target-Embedding Autoencoder With Knowledge Distillation for Multi-Label Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2506-2517 (2024) - [j80]Yukuan Yang, Qihang Fan, Tianyi Yan, Jing Pei, Guoqi Li:
Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3966-3981 (2024) - [j79]Yihan Lin, Yifan Hu, Shijie Ma, Dongjie Yu, Guoqi Li:
Rethinking Pretraining as a Bridge From ANNs to SNNs. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9054-9067 (2024) - [j78]Yu Du, Miaojing Shi, Fangyun Wei, Guoqi Li:
Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16706-16719 (2024) - [j77]Jiawen Liu, Yifan Hu, Guoqi Li, Jing Pei, Lei Deng:
Spike Attention Coding for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18892-18898 (2024) - [j76]Jie Ding, Yaozhong Zhang, Kun Song, Guoqi Li, Wei Wang, Kexin Liu:
Target Controllability of Multiplex Networks With Weighted Interlayer Edges. IEEE Trans. Netw. Sci. Eng. 11(1): 313-325 (2024) - [c28]Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian:
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. AAAI 2024: 5615-5623 - [c27]Kexin Wang, Jiahong Zhang, Yong Ren, Man Yao, Di Shang, Bo Xu, Guoqi Li:
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network. ACL (1) 2024: 7927-7940 - [c26]Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li:
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection. ECCV (32) 2024: 253-272 - [c25]Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. ICLR 2024 - [c24]Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. ICML 2024 - [c23]Keming Wu, Man Yao, Yuhong Chou, Xuerui Qiu, Rui Yang, Bo Xu, Guoqi Li:
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding. ACM Multimedia 2024: 2748-2756 - [c22]Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Jibin Wu, Yiran Zhong, Yu Qiao, Bo Xu, Guoqi Li:
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. NeurIPS 2024 - [c21]Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu, Liwei Huang, Xinyu Shi, Yuesheng Zhu, Guoqi Li, Zhaofei Yu, Li Yuan:
Spiking Transformer with Experts Mixture. NeurIPS 2024 - [i42]Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. CoRR abs/2404.03663 (2024) - [i41]Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. CoRR abs/2405.16466 (2024) - [i40]Keming Wu, Man Yao, Yuhong Chou, Xuerui Qiu, Rui Yang, Bo Xu, Guoqi Li:
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding. CoRR abs/2407.20099 (2024) - [i39]Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li:
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection. CoRR abs/2407.20708 (2024) - [i38]Kexin Wang, Jiahong Zhang, Yong Ren, Man Yao, Di Shang, Bo Xu, Guoqi Li:
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network. CoRR abs/2408.00788 (2024) - [i37]Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li:
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. CoRR abs/2408.14925 (2024) - [i36]Yangfan Hu, Qian Zheng, Guoqi Li, Huajin Tang, Gang Pan:
Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions. CoRR abs/2409.02111 (2024) - [i35]Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Yiran Zhong, Yu Qiao, Jibin Wu, Bo Xu, Guoqi Li:
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. CoRR abs/2411.10741 (2024) - [i34]Man Yao, Xuerui Qiu, Tianxiang Hu, Jiakui Hu, Yuhong Chou, Keyu Tian, Jianxing Liao, Luziwei Leng, Bo Xu, Guoqi Li:
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training. CoRR abs/2411.16061 (2024) - [i33]Mingjing Li, Huihui Zhou, Xiaofeng Xu, Zhiwei Zhong, Puli Quan, Xueke Zhu, Yanyu Lin, Wenjie Lin, Hongyu Guo, Junchao Zhang, Yunhao Ma, Wei Wang, Qingyan Meng, Zhengyu Ma, Guoqi Li, Xiaoxin Cui, Yonghong Tian:
A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training. CoRR abs/2412.05302 (2024) - [i32]Yifan Huang, Wei Fang, Zhengyu Ma, Guoqi Li, Yonghong Tian:
Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching. CoRR abs/2412.06355 (2024) - [i31]Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li:
Efficient 3D Recognition with Event-driven Spike Sparse Convolution. CoRR abs/2412.07360 (2024) - [i30]Zhenxin Lei, Man Yao, Jiakui Hu, Xinhao Luo, Yanye Lu, Bo Xu, Guoqi Li:
Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation. CoRR abs/2412.14587 (2024) - 2023
- [j75]Ying Ma, Dayuan Chen, Tian Wang, Guoqi Li, Ming Yan:
Semi-supervised partial label learning algorithm via reliable label propagation. Appl. Intell. 53(10): 12859-12872 (2023) - [j74]Man Yao, Hengyu Zhang, Guangshe Zhao, Xiyu Zhang, Dingheng Wang, Gang Cao, Guoqi Li:
Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition. Neural Networks 166: 410-423 (2023) - [j73]Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9393-9410 (2023) - [j72]Zexi Jia, Kaichao You, Weihua He, Yang Tian, Yongxiang Feng, Yaoyuan Wang, Xu Jia, Yihang Lou, Jingyi Zhang, Guoqi Li, Ziyang Zhang:
Event-Based Semantic Segmentation With Posterior Attention. IEEE Trans. Image Process. 32: 1829-1842 (2023) - [j71]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(1): 446-460 (2023) - [j70]Dingheng Wang, Bijiao Wu, Guangshe Zhao, Man Yao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li:
Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2205-2219 (2023) - [j69]Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2569-2583 (2023) - [j68]Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2791-2805 (2023) - [c20]Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu:
Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. ECAI 2023: 2776-2783 - [c19]Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li:
Inherent Redundancy in Spiking Neural Networks. ICCV 2023: 16878-16888 - [c18]Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer. NeurIPS 2023 - [c17]Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu:
Filtered Observations for Model-Based Multi-agent Reinforcement Learning. ECML/PKDD (4) 2023: 540-555 - [i29]Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian:
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR abs/2301.11929 (2023) - [i28]Xiang Li, Guoqi Li, Leitao Gao, Beibei Li, Gaoxi Xiao:
Sufficient Control of Complex Networks. CoRR abs/2303.05772 (2023) - [i27]Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li:
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. CoRR abs/2305.12148 (2023) - [i26]Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer. CoRR abs/2307.01694 (2023) - [i25]Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li:
Inherent Redundancy in Spiking Neural Networks. CoRR abs/2308.08227 (2023) - [i24]Jianyu Xu, Hanwen Zhang, Ling Liang, Lei Deng, Yuan Xie, Guoqi Li:
NP-Hardness of Tensor Network Contraction Ordering. CoRR abs/2310.06140 (2023) - [i23]Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian:
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR abs/2310.16620 (2023) - 2022
- [j67]Ying Ma, Rui Huang, Ming Yan, Guoqi Li, Tian Wang:
Attention-based Local Mean K-Nearest Centroid Neighbor Classifier. Expert Syst. Appl. 201: 117159 (2022) - [j66]Yihan Lin, Jiawei Sun, Guoqi Li, Gaoxi Xiao, Changyun Wen, Lei Deng, Harry Eugene Stanley:
Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics. IEEE CAA J. Autom. Sinica 9(4): 635-651 (2022) - [j65]Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Man Yao, Weisheng Dong, Jianbo Shi, Guoqi Li:
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. Int. J. Autom. Comput. 19(5): 366-411 (2022) - [j64]Zhenzhi Wu, Zhihong Zhang, Huanhuan Gao, Jun Qin, Rongzhen Zhao, Guangshe Zhao, Guoqi Li:
Modeling learnable electrical synapse for high precision spatio-temporal recognition. Neural Networks 149: 184-194 (2022) - [j63]Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 13-31 (2022) - [j62]Songchen Ma, Jing Pei, Weihao Zhang, Guanrui Wang, Dahu Feng, Fangwen Yu, Chenhang Song, Huanyu Qu, Cheng Ma, Mingsheng Lu, Faqiang Liu, Wenhao Zhou, Yujie Wu, Yihan Lin, Hongyi Li, Taoyi Wang, Jiuru Song, Xue Liu, Guoqi Li, Rong Zhao, Luping Shi:
Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots. Sci. Robotics 7(67) (2022) - [j61]Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie:
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 372-385 (2022) - [j60]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4782-4796 (2022) - [j59]Bowen Xu, Fanghong Guo, Wen-An Zhang, Guoqi Li, Changyun Wen:
E$^2$ DNet: An Ensembling Deep Neural Network for Solving Nonconvex Economic Dispatch in Smart Grid. IEEE Trans. Ind. Informatics 18(5): 3066-3076 (2022) - [j58]Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang:
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6249-6262 (2022) - [j57]Yue Yang, Jiangshuai Huang, Xiaojie Su, Kai Wang, Guoqi Li:
Adaptive Control of Second-Order Nonlinear Systems With Injection and Deception Attacks. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 574-581 (2022) - [c16]Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li:
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. CVPR 2022: 14064-14073 - [c15]Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie:
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE 2022: 658-663 - [c14]Qizheng Pan, Ming Yan, Guoqi Li, Jianmin Li, Ying Ma:
Self-Knowledge Distillation from Target-Embedding AutoEncoder for Multi-Label Classification. ICKG 2022: 210-216 - [c13]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. IJCAI 2022: 5521-5529 - [i22]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie:
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective. CoRR abs/2202.04822 (2022) - [i21]Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li:
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. CoRR abs/2203.14940 (2022) - [i20]Yu Du, Miaojing Shi, Fangyun Wei, Guoqi Li:
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations. CoRR abs/2207.03824 (2022) - [i19]Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. CoRR abs/2209.13929 (2022) - [i18]Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian:
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. CoRR abs/2211.09648 (2022) - 2021
- [j56]Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and inference for integer-based semantic segmentation network. Neurocomputing 454: 101-112 (2021) - [j55]Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li:
Tensor train decomposition for solving large-scale linear equations. Neurocomputing 464: 203-217 (2021) - [j54]Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie:
Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE J. Sel. Top. Signal Process. 15(3): 574-586 (2021) - [j53]Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li:
QTTNet: Quantized tensor train neural networks for 3D object and video recognition. Neural Networks 141: 420-432 (2021) - [j52]Dingheng Wang, Guangshe Zhao, Hengnu Chen, Zhexian Liu, Lei Deng, Guoqi Li:
Nonlinear tensor train format for deep neural network compression. Neural Networks 144: 320-333 (2021) - [j51]Leitao Gao, Guangshe Zhao, Guoqi Li, Fanghong Guo, Fei Zeng:
Optimal Target Control of Complex Networks With Selectable Inputs. IEEE Trans. Control. Netw. Syst. 8(1): 212-221 (2021) - [j50]Jie Ding, Changyun Wen, Guoqi Li, Zhenghua Chen:
Key Nodes Selection in Controlling Complex Networks via Convex Optimization. IEEE Trans. Cybern. 51(1): 52-63 (2021) - [j49]Kun Song, Guoqi Li, Xumin Chen, Lei Deng, Gaoxi Xiao, Fei Zeng, Pei Jing:
Target Controllability of Two-Layer Multiplex Networks Based on Network Flow Theory. IEEE Trans. Cybern. 51(5): 2699-2711 (2021) - [j48]Yukun Hao, Tianshu Wang, Guoqi Li, Changyun Wen:
Linear Quadratic Optimal Control of Time-Invariant Linear Networks With Selectable Input Matrix. IEEE Trans. Cybern. 51(9): 4743-4754 (2021) - [j47]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie:
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 348-362 (2021) - [j46]Jie Ding, Changyun Wen, Guoqi Li, Pengfei Tu, Dongxu Ji, Ying Zou, Jiangshuai Huang:
Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1949-1962 (2021) - [j45]Nan Wu, Lei Deng, Guoqi Li, Yuan Xie:
Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning. ACM Trans. Design Autom. Electr. Syst. 26(2): 11:1-11:27 (2021) - [j44]Fanghong Guo, Guoqi Li, Changyun Wen, Lei Wang, Ziyang Meng:
An Accelerated Distributed Gradient-Based Algorithm for Constrained Optimization With Application to Economic Dispatch in a Large-Scale Power System. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2041-2053 (2021) - [c12]Rui Huang, Ying Ma, Tian Wang, Guoqi Li, Ming Yan:
A K-Nearest Centroid Neighbor with attention Classifier. CSAI 2021: 156-161 - [i17]Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie:
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR abs/2107.11746 (2021) - [i16]Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi:
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions. CoRR abs/2108.13055 (2021) - 2020
- [j43]Jiangshuai Huang, Wei Wang, Changyun Wen, Jing Zhou, Guoqi Li:
Distributed adaptive leader-follower and leaderless consensus control of a class of strict-feedback nonlinear systems: a unified approach. Autom. 118: 109021 (2020) - [j42]Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li:
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409: 103-118 (2020) - [j41]Jiaqi Yan, Fanghong Guo, Changyun Wen, Guoqi Li:
Parallel alternating direction method of multipliers. Inf. Sci. 507: 185-196 (2020) - [j40]Guoqi Li, Pei Tang, Xumin Chen, Gaoxi Xiao, Min Meng, Cheng Ma, Luping Shi:
Target control and expandable target control of complex networks. J. Frankl. Inst. 357(6): 3541-3564 (2020) - [j39]Min Meng, Gaoxi Xiao, Chao Zhai, Guoqi Li, Zhen Wang:
Distributed consensus of heterogeneous multi-agent systems subject to switching topologies and delays. J. Frankl. Inst. 357(11): 6899-6917 (2020) - [j38]Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi:
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55(8): 2228-2246 (2020) - [j37]Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie:
Rethinking the performance comparison between SNNS and ANNS. Neural Networks 121: 294-307 (2020) - [j36]Yukuan Yang, Lei Deng, Shuang Wu, Tianyi Yan, Yuan Xie, Guoqi Li:
Training high-performance and large-scale deep neural networks with full 8-bit integers. Neural Networks 125: 70-82 (2020) - [j35]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Compressing 3DCNNs based on tensor train decomposition. Neural Networks 131: 215-230 (2020) - [j34]Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. Neural Networks 132: 108-120 (2020) - [j33]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid tensor decomposition in neural network compression. Neural Networks 132: 309-320 (2020) - [j32]Lei Deng, Guoqi Li, Song Han, Luping Shi, Yuan Xie:
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey. Proc. IEEE 108(4): 485-532 (2020) - [j31]Jiangshuai Huang, Wei Wang, Changyun Wen, Guoqi Li:
Adaptive Event-Triggered Control of Nonlinear Systems With Controller and Parameter Estimator Triggering. IEEE Trans. Autom. Control. 65(1): 318-324 (2020) - [j30]Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li:
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 117-130 (2020) - [j29]Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi:
Target Control of Directed Networks based on Network Flow Problems. IEEE Trans. Control. Netw. Syst. 7(2): 673-685 (2020) - [j28]Yue Zhou, Guoqi Li, Huiqi Li:
Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition. IEEE Trans. Medical Imaging 39(2): 436-446 (2020) - [j27]Jie Ding, Changyun Wen, Guoqi Li, Xulei Yang, Tianjiang Hu:
Sparsity-Inspired Optimal Topology Control of Complex Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1825-1839 (2020) - [j26]Guoqi Li, Fei Zeng, Huiqi Li, Alex Kai Qin:
Matrix Function Optimization Problems Under Orthonormal Constraint. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 802-814 (2020) - [c11]Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie:
fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. ICCAD 2020: 60:1-60:9 - [i15]Zhaodong Chen, Lei Deng, Bangyan Wang, Guoqi Li, Yuan Xie:
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. CoRR abs/2001.00254 (2020) - [i14]Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie:
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR abs/2001.01587 (2020) - [i13]Weihua He, Yujie Wu, Lei Deng, Guoqi Li, Haoyu Wang, Yang Tian, Wei Ding, Wenhui Wang, Yuan Xie:
Comparing SNNs and RNNs on Neuromorphic Vision Datasets: Similarities and Differences. CoRR abs/2005.02183 (2020) - [i12]Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and Inference for Integer-Based Semantic Segmentation Network. CoRR abs/2011.14504 (2020)
2010 – 2019
- 2019
- [j25]Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Zeming Fan, Ateeq Ur Rehman, Guoqi Li, Gaoxi Xiao:
Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform. IEEE Access 7: 127678-127692 (2019) - [j24]Yong Zhou, Qiang Fang, Kuang Zhao, Dengqing Tang, Han Zhou, Guoqi Li, Xiaojia Xiang, Tianjiang Hu:
Robust Task-Oriented Markerless Extrinsic Calibration for Robotic Pick-and-Place Scenarios. IEEE Access 7: 127932-127942 (2019) - [j23]Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Zeming Fan, Ateeq Ur Rehman, Inam Ullah, Guoqi Li, Gaoxi Xiao:
Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain-Computer Interfaces. IEEE Access 7: 171431-171451 (2019) - [j22]Min Meng, Gaoxi Xiao, Chao Zhai, Guoqi Li:
Controllability of Markovian jump Boolean control networks. Autom. 106: 70-76 (2019) - [j21]Guoqi Li, Jie Ding, Changyun Wen, Lei Wang, Fanghong Guo:
Controlling Directed Networks With Evolving Topologies. IEEE Trans. Control. Netw. Syst. 6(1): 176-190 (2019) - [j20]Guoqi Li, Jie Ding, Changyun Wen, Jiangshuai Huang:
Minimum Cost Control of Directed Networks With Selectable Control Inputs. IEEE Trans. Cybern. 49(12): 4431-4440 (2019) - [j19]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Dong Wu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2043-2051 (2019) - [c10]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. AAAI 2019: 1311-1318 - [c9]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - [c8]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN 2019: 1-6 - [i11]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR abs/1902.05705 (2019) - [i10]Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR abs/1907.01167 (2019) - [i9]Yukuan Yang, Shuang Wu, Lei Deng, Tianyi Yan, Yuan Xie, Guoqi Li:
Training High-Performance and Large-Scale Deep Neural Networks with Full 8-bit Integers. CoRR abs/1909.02384 (2019) - [i8]Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie:
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR abs/1911.00822 (2019) - [i7]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. CoRR abs/1912.03647 (2019) - 2018
- [j18]Jianyu Xu, Guoqi Li, Changyun Wen, Kun Wu, Lei Deng:
Towards a Unified Framework of Matrix Derivatives. IEEE Access 6: 47922-47934 (2018) - [j17]Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie:
Crossbar-Aware Neural Network Pruning. IEEE Access 6: 58324-58337 (2018) - [j16]Ziyang Meng, Tao Yang, Guoqi Li, Wei Ren, Di Wu:
Synchronization of Coupled Dynamical Systems: Tolerance to Weak Connectivity and Arbitrarily Bounded Time-Varying Delays. IEEE Trans. Autom. Control. 63(6): 1791-1797 (2018) - [j15]Jiangshuai Huang, Yongduan Song, Wei Wang, Changyun Wen, Guoqi Li:
Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions. IEEE Trans. Cybern. 48(8): 2349-2356 (2018) - [c7]Guangshe Zhao, Leitao Gao, Guoqi Li, Yuming Liu, Jiangshuai Huang, Changyun Wen:
Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders. ICCA 2018: 624-629 - [c6]Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie:
HitNet: Hybrid Ternary Recurrent Neural Network. NeurIPS 2018: 602-612 - [i6]Shuang Wu, Guoqi Li, Lei Deng, Liu Liu, Yuan Xie, Luping Shi:
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks. CoRR abs/1802.09769 (2018) - [i5]Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie:
Crossbar-aware neural network pruning. CoRR abs/1807.10816 (2018) - [i4]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. CoRR abs/1810.00859 (2018) - [i3]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie:
Batch Normalization Sampling. CoRR abs/1810.10962 (2018) - [i2]Guoqi Li, Xumin Chen, Pei Tang, Gaoxi Xiao, Changyun Wen, Luping Shi:
Target Control of Directed Networks based on Network Flow Problems. CoRR abs/1811.12024 (2018) - 2017
- [j14]Fanghong Guo, Changyun Wen, Jianfeng Mao, Guoqi Li, Yong-Duan Song:
A distributed hierarchical algorithm for multi-cluster constrained optimization. Autom. 77: 230-238 (2017) - [j13]Jiangshuai Huang, Yong-Duan Song, Wei Wang, Changyun Wen, Guoqi Li:
Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference. Autom. 83: 361-367 (2017) - [j12]Guoqi Li, Pei Tang, Changyun Wen, Ziyang Meng:
Boundary Constraints for Minimum Cost Control of Directed Networks. IEEE Trans. Cybern. 47(12): 4196-4207 (2017) - [c5]Ran Wang, Gaoxi Xiao, Ping Wang, Yue Cao, Guoqi Li, Jie Hao, Kun Zhu:
Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy. GLOBECOM 2017: 1-6 - [c4]Jie Ding, Changyun Wen, Guoqi Li:
Optimal control of weighted networks based on node connection strength. ISIE 2017: 520-525 - [i1]Yi Yu, Gaoxi Xiao, Guoqi Li, Wee Peng Tay:
Opinion diversity and community formation in adaptive networks. CoRR abs/1703.02223 (2017) - 2016
- [j11]Guoqi Li, Lei Deng, Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Pei Jing, Luping Shi:
Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity. Frontiers Comput. Neurosci. 10: 136 (2016) - [j10]Jie Ding, Changyun Wen, Guoqi Li, Chin-Seng Chua:
Locality sensitive batch feature extraction for high-dimensional data. Neurocomputing 171: 664-672 (2016) - 2015
- [j9]Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen:
Memory Dynamics in Attractor Networks. Comput. Intell. Neurosci. 2015: 191745:1-191745:7 (2015) - [j8]Guoqi Li, Changyun Wen, Wei Xing Zheng, Guangshe Zhao:
Iterative identification of block-oriented nonlinear systems based on biconvex optimization. Syst. Control. Lett. 79: 68-75 (2015) - [j7]Guoqi Li, Changyun Wen, Aimin Zhang:
Fixed point iteration in identifying bilinear models. Syst. Control. Lett. 83: 28-37 (2015) - 2014
- [c3]Jie Ding, Guoqi Li, Changyun Wen, Chin-Seng Chua:
Min-max discriminant analysis based on gradient method for feature extraction. ICARCV 2014: 129-134 - [c2]Lei Meng, Changyun Wen, Guoqi Li:
Support vector machine based liver cancer early detection using magnetic resonance images. ICARCV 2014: 861-864 - 2013
- [j6]Guoqi Li, Changyun Wen, Zhengguo Li, Aimin Zhang, Feng Yang, Kezhi Mao:
Model-Based Online Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 24(3): 356-369 (2013) - 2012
- [j5]Guoqi Li, Changyun Wen:
Identification of Wiener Systems With Clipped Observations. IEEE Trans. Signal Process. 60(7): 3845-3852 (2012) - 2011
- [j4]Guoqi Li, Changyun Wen, Guang-Bin Huang, Yan Chen:
Error tolerance based support vector machine for regression. Neurocomputing 74(5): 771-782 (2011) - [j3]Guoqi Li, Changyun Wen:
Convergence of normalized iterative identification of Hammerstein systems. Syst. Control. Lett. 60(11): 929-935 (2011) - [j2]Guoqi Li, Changyun Wen, Wei Xing Zheng, Yan Chen:
Identification of a Class of Nonlinear Autoregressive Models With Exogenous Inputs Based on Kernel Machines. IEEE Trans. Signal Process. 59(5): 2146-2159 (2011) - 2010
- [j1]Guoqi Li, Changyun Wen, Wei Xing Zheng:
A New Iterative Identification Scheme for Hammerstein Systems with Support Vector Machine Based on Biconvex Optimization. Aust. J. Intell. Inf. Process. Syst. 11(4) (2010) - [c1]Guoqi Li, Changyun Wen:
Identification of Wiener systems based on fixed point theory. ICARCV 2010: 491-496
Coauthor Index
[j100] [j93] [j88] [j87] [j77] [i37] [j73] [j70] [j69] [j68] [i24] [j66] [j63] [j61] [j60] [c15] [c13] [i22] [i19] [j56] [j55] [j54] [j53] [j52] [j49] [j47] [j45] [i17] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j30] [c11] [i15] [i14] [i13] [i12] [j19] [c10] [c9] [i9] [i8] [i7] [j18] [j17] [c6] [i6] [i5] [i4] [i3] [j11]
Guang-She Zhao
aka: Guangshe Zhao
aka: Guangshe Zhao
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