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Guoqi Li
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2020 – today
- 2025
- [j123]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) - 2024
- [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]Qiaoyi Su
, Weihua He, Xiaobao Wei, Bo Xu, Guoqi Li
:
Multi-scale full spike pattern for semantic segmentation. Neural Networks 176: 106330 (2024) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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) - [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) - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]Shenghao Xie, Wenqiang Zu, Mingyang Zhao, Duo Su, Shilong Liu, Ruohua Shi, Guoqi Li, Shanghang Zhang, Lei Ma:
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective. CoRR abs/2410.22217 (2024) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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
- [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:
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