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Guoqi Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Guoqi Li 0001
— Southwest Jiaotong University, Chengdu, China - Guoqi Li 0002
— Institute of Automation, Chinese Academy of Sciences, Beijing, China - Guoqi Li 0003
— Beihang University, Beijing, China - Guoqi Li 0004
— Tsinghua University, Beijing, China
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2020 – today
- 2025
[c27]Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu:
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations. AAAI 2025: 1574-1582
[c26]Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang:
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. ICLR 2025
[c25]Shihao Zou, Qingfeng Li, Wei Ji, Jingjing Li, Yongkui Yang, Guoqi Li, Chao Dong:
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and O(T) Complexity. ICML 2025
[i30]Xingrun Xing, Zheng Liu, Shitao Xiao, Boyan Gao, Yiming Liang, Wanpeng Zhang
, Haokun Lin, Guoqi Li, Jiajun Zhang:
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. CoRR abs/2502.06663 (2025)
[i29]Yukuan Yang, Xucheng Lu, Zhili Zhang, Zepeng Wu, Guoqi Li, Lingzhong Meng, Yunzhi Xue:
AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests. CoRR abs/2502.21100 (2025)
[i28]Haopeng Li, Jinyue Yang, Guoqi Li, Huan Wang:
Autoregressive Image Generation with Randomized Parallel Decoding. CoRR abs/2503.10568 (2025)
[i27]Shihao Zou, Qingfeng Li, Wei Ji, Jingjing Li, Yongkui Yang, Guoqi Li, Chao Dong:
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and 𝒪(T) Complexity. CoRR abs/2505.10352 (2025)
[i26]Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng:
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. CoRR abs/2508.09834 (2025)- 2024
[j19]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)
[j18]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)
[c24]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
[i25]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)
[i24]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)
[i23]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)
[i22]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)
[i21]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)
[i20]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)
[i19]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)- 2023
[c23]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
[c22]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
[i18]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)
[i17]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)- 2022
[j17]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)
[j16]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)
[i16]Yihan Lin, Yifan Hu, Shijie Ma, Guoqi Li, Dongjie Yu:
Rethinking Pretraining as a Bridge from ANNs to SNNs. CoRR abs/2203.01158 (2022)
[i15]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
[j15]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)
[j14]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)
[j13]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)
[c21]Hanle Zheng
, Yujie Wu
, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. AAAI 2021: 11062-11070
[c20]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
[c19]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
[i14]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)
[i13]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)
[i12]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)
[i11]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)
[i10]Yifan Hu, Yujie Wu, Lei Deng, Guoqi Li:
Advancing Residual Learning towards Powerful Deep Spiking Neural Networks. CoRR abs/2112.08954 (2021)- 2020
[j12]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)
[j11]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)
[c18]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. NeurIPS 2020
[i9]Bijiao Wu, Dingheng Wang, Guangshe Zhao, Lei Deng, Guoqi Li:
Hybrid Tensor Decomposition in Neural Network Compression. CoRR abs/2006.15938 (2020)
[i8]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)
[i7]Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li:
Restoring Negative Information in Few-Shot Object Detection. CoRR abs/2010.11714 (2020)
[i6]Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. CoRR abs/2011.05280 (2020)
[i5]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)
2010 – 2019
- 2019
[j10]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)
[c17]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
[i4]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. CoRR abs/1912.09670 (2019)
[i3]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
[j9]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)
[j8]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)
[c16]Shuang Wu, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. ICLR 2018
[i2]Shuang Wu
, Guoqi Li, Feng Chen, Luping Shi:
Training and Inference with Integers in Deep Neural Networks. CoRR abs/1802.04680 (2018)- 2017
[j7]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)
[c15]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
[i1]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)- 2015
[c14]Guang-She Zhao, Yi Xu, Guoqi Li, Zhao-Xu Yang:
An entropy-based method for estimating demographic trends. EAIS 2015: 1-8
[c13]Lei Deng
, Dong Wang, Guoqi Li, Ziyang Zhang, Jing Pei:
A new computing rule for neuromorphic engineering. NVMTS 2015: 1-3- 2014
[j6]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)
[j5]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)- 2013
[j4]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)- 2012
[j3]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)
[c12]Juguo Wang, Yun Pu, Guoqi Li:
Fault Model Libraries for Safety Analysis and their Ontology-based Reuse. CIS 2012: 301-304
[c11]Guoqi Li, Guangshe Zhao:
Online learning with kernels in classification and regression. EAIS 2012: 17-22
[c10]Guoqi Li:
Ontology-Based Reuse of Failure Modes for FMEA: Methodology and Tool. ISSRE Workshops 2012: 17-18- 2011
[c9]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
[c8]Guoqi Li, Boxuan Wang:
SysML Aided Safety Analysis for Safety-Critical Systems. AICI (1) 2011: 270-275
[c7]Guoqi Li:
FTA Based Runtime Evaluation of System Reliability for Autonomous Unmanned Vehicle. CIS 2011: 1507-1509
[c6]Yang Xiao, Guoqi Li, Juan Zhang:
Passive Data Storage Based Housewares Store Management System. WISM (2) 2011: 51-56- 2010
[c5]Juguo Wang, Guoqi Li, Yun Pu:
A Scenario-Based Architecture for Reliability Design of Artificial Intelligent Software. CIS 2010: 6-9
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

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last updated on 2025-12-09 00:40 CET by the dblp team
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