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2020 – today
- 2024
[j119]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)- [j118]Wenqiang Zu, Shenghao Xie, Qing Zhao, Guoqi Li, Lei Ma:
Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images. Medical Image Anal. 97: 103258 (2024) - [j117]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) - [j116]Gongshu Wang, Ning Jiang, Yunxiao Ma, Duanduan Chen, Jinglong Wu, Guoqi Li, Dong Liang, Tianyi Yan:
Connectional-style-guided contextual representation learning for brain disease diagnosis. Neural Networks 175: 106296 (2024) - [j115]Qiaoyi Su, Weihua He, Xiaobao Wei, Bo Xu, Guoqi Li:
Multi-scale full spike pattern for semantic segmentation. Neural Networks 176: 106330 (2024) - [j114]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) - [j113]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) - [j112]Guoqi Li, Gang Pu, Jiaxin Yang, Xinguo Jiang:
A multidimensional quantitative risk assessment framework for dense areas of stay points for urban HazMat vehicles. Reliab. Eng. Syst. Saf. 241: 109637 (2024) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian:
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [j106]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) - [j105]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) - [j104]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) - [c54]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. AAAI 2024: 601-610 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. ICML 2024 - [c48]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 - [i69]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) - [i68]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) - [i67]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. CoRR abs/2406.03287 (2024) - [i66]Wenqiang Zu, Shenghao Xie, Qing Zhao, Guoqi Li, Lei Ma:
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images. CoRR abs/2407.01003 (2024) - [i65]Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang:
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. CoRR abs/2407.04752 (2024) - [i64]Bo Wang, Shaocong Wang, Ning Lin, Yi Li, Yifei Yu, Yue Zhang, Jichang Yang, Xiaojun Wu, Yangu He, Songqi Wang, Rui Chen, Guoqi Li, Xiaojuan Qi, Zhongrui Wang, Dashan Shang:
Topology Optimization of Random Memristors for Input-Aware Dynamic SNN. CoRR abs/2407.18625 (2024) - [i63]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) - [i62]Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng:
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. CoRR abs/2407.20508 (2024) - [i61]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) - [i60]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) - [i59]Haopeng Li, Jinyue Yang, Kexin Wang, Xuerui Qiu, Yuhong Chou, Xin Li, Guoqi Li:
Scalable Autoregressive Image Generation with Mamba. CoRR abs/2408.12245 (2024) - [i58]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) - [i57]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) - [i56]Ning Wang, Zekun Li, Tongxin Bai, Guoqi Li:
Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension. CoRR abs/2410.04211 (2024) - 2023
- [j103]Shiqin Jiao, Guiyang Zhang, Mei Zhou, Guoqi Li:
A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs. IEEE Access 11: 84636-84650 (2023) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [c47]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 - [c46]Yongxiang Feng, Weihua He, Kaichao You, Bing Liu, Ziyang Zhang, Yaoyuan Wang, Minglei Li, Yihang Lou, Jiawei Li, Guoqi Li, Jianxing Liao:
Test-Time Training-Free Domain Adaptation. ICASSP 2023: 1-5 - [c45]Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li:
Deep Directly-Trained Spiking Neural Networks for Object Detection. ICCV 2023: 6532-6542 - [c44]Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li:
Inherent Redundancy in Spiking Neural Networks. ICCV 2023: 16878-16888 - [c43]Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer. NeurIPS 2023 - [c42]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 - [i55]Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian:
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR abs/2301.11929 (2023) - [i54]Xiang Li, Guoqi Li, Leitao Gao, Beibei Li, Gaoxi Xiao:
Sufficient Control of Complex Networks. CoRR abs/2303.05772 (2023) - [i53]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) - [i52]Gongshu Wang, Ning Jiang, Yunxiao Ma, Tiantian Liu, Duanduan Chen, Jinglong Wu, Guoqi Li, Dong Liang, Tianyi Yan:
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis. CoRR abs/2306.05297 (2023) - [i51]Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer. CoRR abs/2307.01694 (2023) - [i50]Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li:
Deep Directly-Trained Spiking Neural Networks for Object Detection. CoRR abs/2307.11411 (2023) - [i49]Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks. CoRR abs/2308.06582 (2023) - [i48]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) - [i47]Jianyu Xu, Hanwen Zhang, Ling Liang, Lei Deng, Yuan Xie, Guoqi Li:
NP-Hardness of Tensor Network Contraction Ordering. CoRR abs/2310.06140 (2023) - [i46]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
- [j94]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) - [j93]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan:
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey. IEEE CAA J. Autom. Sinica 9(2): 205-234 (2022) - [j92]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) - [j91]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) - [j90]Yukuan Yang, Xiaowei Chi, Lei Deng, Tianyi Yan, Feng Gao, Guoqi Li:
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization. Neurocomputing 511: 175-186 (2022) - [j89]Xin Liu, Mingyu Yan, Lei Deng, Yujie Wu, De Han, Guoqi Li, Xiaochun Ye, Dongrui Fan:
General spiking neural network framework for the learning trajectory from a noisy mmWave radar. Neuromorph. Comput. Eng. 2(2): 34013 (2022) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]Deyu Zhang, Siyu Liu, Jian Zhang, Guoqi Li, Dingjie Suo, Tiantian Liu, Jiawei Luo, Zhiyuan Ming, Jinglong Wu, Tianyi Yan:
Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller and Predictive Environmental Coordinator. IEEE J. Biomed. Health Informatics 26(12): 6138-6149 (2022) - [j81]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) - [j80]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) - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [i45]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) - [i44]Yihan Lin, Yifan Hu, Shijie Ma, Guoqi Li, Dongjie Yu:
Rethinking Pretraining as a Bridge from ANNs to SNNs. CoRR abs/2203.01158 (2022) - [i43]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) - [i42]Yu Du, Miaojing Shi, Fangyun Wei, Guoqi Li:
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations. CoRR abs/2207.03824 (2022) - [i41]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) - [i40]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) - [i39]Xiaoshan Wu, Weihua He, Man Yao, Ziyang Zhang, Yaoyuan Wang, Guoqi Li:
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network. CoRR abs/2211.12156 (2022) - 2021
- [j79]Yunpeng Guo, Xiaolong Zou, Yifan Hu, Yifei Yang, Xinxin Wang, Yuhan He, Ruikai Kong, Yuzheng Guo, Guoqi Li, Wei Zhang, Si Wu, Huanglong Li:
A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems. Adv. Intell. Syst. 3(11): 2100054 (2021) - [j78]Jingbo Yang, Denan Zhang, Lei Liu, Guoqi Li, Yiyang Cai, Yan Zhang, Hongbo Jin, Xiujie Chen:
Computational drug repositioning based on the relationships between substructure-indication. Briefings Bioinform. 22(4) (2021) - [j77]Jiayi Yang, Lei Deng, Yukuan Yang, Yuan Xie, Guoqi Li:
Training and inference for integer-based semantic segmentation network. Neurocomputing 454: 101-112 (2021) - [j76]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) - [j75]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) - [j74]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao:
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133: 148-156 (2021) - [j73]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) - [j72]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) - [j71]Long Wei, Gang Chen, Wenjie Sun, Guoqi Li:
Recognition of Operating Characteristics of Heavy Trucks Based on the Identification of GPS Trajectory Stay Points. Secur. Commun. Networks 2021: 9998405:1-9998405:12 (2021) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [c37]Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. AAAI 2021: 11062-11070 - [c36]Rui Huang, Ying Ma, Tian Wang, Guoqi Li, Ming Yan:
A K-Nearest Centroid Neighbor with attention Classifier. CSAI 2021: 156-161 - [c35]Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li:
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. ICCV 2021: 10201-10210 - [c34]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. IJCAI 2021: 3207-3213 - [i38]Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan:
Sampling methods for efficient training of graph convolutional networks: A survey. CoRR abs/2103.05872 (2021) - [i37]Yukuan Yang, Xiaowei Chi, Lei Deng, Tianyi Yan, Feng Gao, Guoqi Li:
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization. CoRR abs/2105.13890 (2021) - [i36]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR abs/2107.06865 (2021) - [i35]Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li:
Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. CoRR abs/2107.11711 (2021) - [i34]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) - [i33]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) - [i32]Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li:
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks. CoRR abs/2110.12211 (2021) - [i31]Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li:
Advancing Residual Learning towards Powerful Deep Spiking Neural Networks. CoRR abs/2112.08954 (2021) - 2020
- [j62]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) - [j61]Cheng Ma, Qi Zhao, Guoqi Li, Lei Deng, Guanrui Wang:
A deadlock-free physical mapping method on the many-core neural network chip. Neurocomputing 401: 327-337 (2020) - [j60]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) - [j59]Jiaqi Yan, Fanghong Guo, Changyun Wen, Guoqi Li:
Parallel alternating direction method of multipliers. Inf. Sci. 507: 185-196 (2020) - [j58]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) - [j57]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) - [j56]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) - [j55]Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li:
Software defect prediction based on correlation weighted class association rule mining. Knowl. Based Syst. 196: 105742 (2020) - [j54]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) - [j53]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) - [j52]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Compressing 3DCNNs based on tensor train decomposition. Neural Networks 131: 215-230 (2020) - [j51]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) - [j50]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid tensor decomposition in neural network compression. Neural Networks 132: 309-320 (2020) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [c33]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 - [c32]Daiheng Gao, Zhenzhi Wu, Yujie Wu, Guoqi Li, Jing Pei:
ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. HBAI@IJCAI 2020: 1-13 - [c31]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. NeurIPS 2020 - [i30]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) - [i29]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) - [i28]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) - [i27]Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi:
Brain-inspired global-local hybrid learning towards human-like intelligence. CoRR abs/2006.03226 (2020) - [i26]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid Tensor Decomposition in Neural Network Compression. CoRR abs/2006.15938 (2020) - [i25]Dingheng Wang, Bijiao Wu, Guangshe Zhao, Hengnu Chen, Lei Deng, Tianyi Yan, Guoqi Li:
Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs. CoRR abs/2008.09342 (2020) - [i24]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. CoRR abs/2010.11714 (2020) - [i23]Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. CoRR abs/2011.05280 (2020) - [i22]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. CoRR abs/2011.06176 (2020) - [i21]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
- [j42]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) - [j41]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) - [j40]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) - [j39]Min Meng, Gaoxi Xiao, Chao Zhai, Guoqi Li:
Controllability of Markovian jump Boolean control networks. Autom. 106: 70-76 (2019) - [j38]Guoqi Li:
A Lightweight System to Achieve Proactive Risk Management for Household ASIC-Resistant Cryptocurrency Mining. IEICE Trans. Inf. Syst. 102-D(6): 1215-1217 (2019) - [j37]Hongmin Li, Guoqi Li, Luping Shi:
Super-resolution of spatiotemporal event-stream image. Neurocomputing 335: 206-214 (2019) - [j36]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) - [j35]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) - [j34]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) - [c30]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 - [c29]Qi Zhao, Lei Deng, Guoqi Li, Guanrui Wang, Cheng Ma:
Efficient Mapping without Deadlock on the Many-core Neural Network Chip. ICCA 2019: 752-757 - [c28]Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie:
Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) 2019 - [c27]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 - [i20]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) - [i19]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) - [i18]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) - [i17]Zheyu Yang, Yujie Wu, Guanrui Wang, Yukuan Yang, Guoqi Li, Lei Deng, Jun Zhu, Luping Shi:
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking. CoRR abs/1909.12942 (2019) - [i16]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) - [i15]Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu:
Lossless Compression for 3DCNNs Based on Tensor Train Decomposition. CoRR abs/1912.03647 (2019) - [i14]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. CoRR abs/1912.09670 (2019) - [i13]Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li:
Transfer Learning in General Lensless Imaging through Scattering Media. CoRR abs/1912.12419 (2019) - 2018
- [j33]Jianyu Xu, Guoqi Li, Changyun Wen, Kun Wu, Lei Deng:
Towards a Unified Framework of Matrix Derivatives. IEEE Access 6: 47922-47934 (2018) - [j32]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) - [j31]Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li:
A novel software defect prediction based on atomic class-association rule mining. Expert Syst. Appl. 114: 237-254 (2018) - [j30]Guoqi Li, Lei Deng, Lei Tian, Haotian Cui, Wentao Han, Jing Pei, Luping Shi:
Training deep neural networks with discrete state transition. Neurocomputing 272: 154-162 (2018) - [j29]Hongmin Li, Guoqi Li, Xiangyang Ji, Luping Shi:
Deep representation via convolutional neural network for classification of spatiotemporal event streams. Neurocomputing 299: 1-9 (2018) - [j28]Leitao Gao, Guangshe Zhao, Guoqi Li, Lei Deng, Fei Zeng:
Towards the minimum-cost control of target nodes in directed networks with linear dynamics. J. Frankl. Inst. 355(16): 8141-8157 (2018) - [j27]Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li:
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework. Neural Networks 100: 49-58 (2018) - [j26]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) - [j25]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) - [c26]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 - [c25]Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. ICLR 2018 - [c24]Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie:
HitNet: Hybrid Ternary Recurrent Neural Network. NeurIPS 2018: 602-612 - [i12]Hongmin Li, Guoqi Li, Hanchao Liu, Luping Shi:
Super-resolution of spatiotemporal event-based image. CoRR abs/1802.02398 (2018) - [i11]Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. CoRR abs/1802.04680 (2018) - [i10]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) - [i9]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) - [i8]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Direct Training for Spiking Neural Networks: Faster, Larger, Better. CoRR abs/1809.05793 (2018) - [i7]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) - [i6]Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie:
Batch Normalization Sampling. CoRR abs/1810.10962 (2018) - [i5]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
- [j24]Zhao-Xu Yang, Guang-She Zhao, Guoqi Li, Hai-Jun Rong:
Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint. Ann. des Télécommunications 72(11-12): 703-715 (2017) - [j23]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) - [j22]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) - [j21]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) - [c23]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 - [c22]Jie Ding, Changyun Wen, Guoqi Li:
Optimal control of weighted networks based on node connection strength. ISIE 2017: 520-525 - [c21]Yuanxun Shao, Bin Liu, Guoqi Li, Ran Yan:
A Fault Diagnosis Expert System for Flight Control Software Based on SFMEA and SFTA. QRS Companion 2017: 626-627 - [i4]Yi Yu, Gaoxi Xiao, Guoqi Li, Wee Peng Tay:
Opinion diversity and community formation in adaptive networks. CoRR abs/1703.02223 (2017) - [i3]Lei Deng, Peng Jiao, Jing Pei, Zhenzhi Wu, Guoqi Li:
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework. CoRR abs/1705.09283 (2017) - [i2]Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Luping Shi:
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks. CoRR abs/1706.02609 (2017) - 2016
- [j20]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) - [j19]Jie Ding, Changyun Wen, Guoqi Li, Chin-Seng Chua:
Locality sensitive batch feature extraction for high-dimensional data. Neurocomputing 171: 664-672 (2016) - [c20]Hongmin Li, Guoqi Li, Luping Shi:
Classification of Spatiotemporal Events Based on Random Forest. BICS 2016: 138-148 - 2015
- [j18]Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen:
Memory Dynamics in Attractor Networks. Comput. Intell. Neurosci. 2015: 191745:1-191745:7 (2015) - [j17]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) - [j16]Guoqi Li, Changyun Wen, Aimin Zhang:
Fixed point iteration in identifying bilinear models. Syst. Control. Lett. 83: 28-37 (2015) - [c19]Guang-She Zhao, Yi Xu, Guoqi Li, Zhao-Xu Yang:
An entropy-based method for estimating demographic trends. EAIS 2015: 1-8 - [c18]Lei Deng, Dong Wang, Guoqi Li, Ziyang Zhang, Jing Pei:
A new computing rule for neuromorphic engineering. NVMTS 2015: 1-3 - [c17]Hongmin Li, Jing Pei, Guoqi Li:
Real-time tracking based on neuromrophic vision. NVMTS 2015: 1-7 - [i1]Hongmin Li, Pei Jing, Guoqi Li:
Real-time Tracking Based on Neuromrophic Vision. CoRR abs/1510.05275 (2015) - 2014
- [j15]Guoqi Li, Guangshe Zhao, Feng Yang:
Towards the online learning with Kernels in classification and regression. Evol. Syst. 5(1): 11-19 (2014) - [j14]Guoqi Li:
A Framework to Integrate Public Information into Runtime Safety Analysis for Critical Systems. IEICE Trans. Inf. Syst. 97-D(4): 981-983 (2014) - [j13]Guoqi Li:
A Modified FTA Approach to Achieve Runtime Safety Analysis of Critical Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(10): 2083-2085 (2014) - [c16]Jie Ding, Guoqi Li, Changyun Wen, Chin-Seng Chua:
Min-max discriminant analysis based on gradient method for feature extraction. ICARCV 2014: 129-134 - [c15]Lei Meng, Changyun Wen, Guoqi Li:
Support vector machine based liver cancer early detection using magnetic resonance images. ICARCV 2014: 861-864 - 2013
- [j12]Guoqi Li:
Ontology-Based Reuse of Failure Modes in Existing Databases for FMEA: Methodology and Tool. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(7): 1645-1648 (2013) - [j11]Guoqi Li, Ning Ning, Kiruthika Ramanathan, Wei He, Li Pan, Luping Shi:
Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity. Int. J. Neural Syst. 23(4) (2013) - [j10]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) - [c14]Guoqi Li, Ning Ning, Kiruthika Ramanathan, Luping Shi:
Revised online learning with kernels for classification and regression. CIDM 2013: 275-279 - 2012
- [j9]Guoqi Li:
Software FMEA for Safety-Critical System Based on Co-analysis of System Model and Software Model. IEICE Trans. Inf. Syst. 95-D(12): 3101-3105 (2012) - [j8]Kiruthika Ramanathan, Ning Ning, Dhiviya Dhanasekar, Guoqi Li, Luping Shi, Prahlad Vadakkepat:
Presynaptic Learning and Memory with a Persistent Firing Neuron and a Habituating Synapse: a Model of Short Term Persistent Habituation. Int. J. Neural Syst. 22(4) (2012) - [j7]Guoqi Li, Changyun Wen:
Identification of Wiener Systems With Clipped Observations. IEEE Trans. Signal Process. 60(7): 3845-3852 (2012) - [c13]Juguo Wang, Yun Pu, Guoqi Li:
Fault Model Libraries for Safety Analysis and their Ontology-based Reuse. CIS 2012: 301-304 - [c12]Guoqi Li, Guangshe Zhao:
Online learning with kernels in classification and regression. EAIS 2012: 17-22 - [c11]Guoqi Li:
Ontology-Based Reuse of Failure Modes for FMEA: Methodology and Tool. ISSRE Workshops 2012: 17-18 - 2011
- [j6]Guoqi Li, Changyun Wen, Guang-Bin Huang, Yan Chen:
Error tolerance based support vector machine for regression. Neurocomputing 74(5): 771-782 (2011) - [j5]Guoqi Li, Changyun Wen:
Convergence of normalized iterative identification of Hammerstein systems. Syst. Control. Lett. 60(11): 929-935 (2011) - [j4]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) - [c10]Yuchao Zhang, Guoqi Li, Juan Zhang:
QP Based Framework for Development and Formal Verification of Flight Control Software of UAV. AICI (1) 2011: 1-8 - [c9]Guoqi Li, Boxuan Wang:
SysML Aided Safety Analysis for Safety-Critical Systems. AICI (1) 2011: 270-275 - [c8]Guoqi Li:
FTA Based Runtime Evaluation of System Reliability for Autonomous Unmanned Vehicle. CIS 2011: 1507-1509 - [c7]Yang Xiao, Guoqi Li, Juan Zhang:
Passive Data Storage Based Housewares Store Management System. WISM (2) 2011: 51-56 - 2010
- [j3]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) - [c6]Juguo Wang, Guoqi Li, Yun Pu:
A Scenario-Based Architecture for Reliability Design of Artificial Intelligent Software. CIS 2010: 6-9 - [c5]Guoqi Li, Changyun Wen:
Identification of Wiener systems based on fixed point theory. ICARCV 2010: 491-496
2000 – 2009
- 2009
- [c4]Guoqi Li, Yang Xiao, Minyan Lu, Yuchao Zhang:
A Formal Method Based Case Study for Access Control. CIS (2) 2009: 460-463 - [c3]Guoqi Li, Minyan Lu, Bin Liu:
A Novel Ontology-Aided Method for Integrating Prior Knowledge into Data Mining. CSIE (4) 2009: 311-314 - 2007
- [j2]Guoqi Li, Huanye Sheng, Xun Fan:
Incorporating Metadata into Data Mining with Ontology. IEICE Trans. Inf. Syst. 90-D(6): 983-985 (2007) - [j1]Songqiao Han, Shensheng Zhang, Guoqi Li, Yong Zhang:
An On-Demand QoS Service Composition Protocol for MANETs. IEICE Trans. Inf. Syst. 90-D(11): 1877-1880 (2007) - [c2]Guoqi Li, Huanye Sheng:
Extracting Features from Gene Ontology for the Identification of Protein Subcellular Location by Semantic Similarity Measurement. PAKDD Workshops 2007: 112-118 - 2006
- [c1]Guoqi Li, Huanye Sheng:
Analysis of the Features Extracted from Sequence for Prediction of Protein's Subcellular Localization Using Fourier Transform. ICDM (Posters) 2006: 135-143
Coauthor Index
[j113] [i62] [i58] [j100] [j97] [j96] [j95] [i47] [j93] [j92] [j90] [j89] [j87] [j85] [j84] [c40] [c38] [i45] [i41] [j77] [j76] [j75] [j73] [j72] [j68] [j66] [j64] [c37] [c34] [i38] [i37] [i36] [i34] [i32] [i31] [j61] [j56] [j54] [j53] [j52] [j51] [j50] [j49] [j47] [c33] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [i21] [j34] [c30] [c29] [c28] [i18] [i17] [i16] [i15] [i13] [j33] [j32] [j30] [j28] [j27] [c24] [i10] [i9] [i8] [i7] [i6] [i3] [i2] [j20] [c18]
Guang-She Zhao
aka: Guangshe Zhao
aka: Guangshe Zhao
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