Guoqi Li
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Guoqi Li 001 (Southwest Jiaotong University, Chengdu, China)
- Guoqi Li 002 (Institute of Automation, Chinese Academy of Sciences, Beijing, China)
- Guoqi Li 003 (Beihang University, Beijing, China)
- Guoqi Li 004 (Tsinghua University, Beijing, China)
- Guoqi Lin
- Guoqi Liu
Bibliography
2025
CoRR, August, 2025
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and 𝒪(T) Complexity.
CoRR, May, 2025
AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests.
CoRR, February, 2025
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models.
CoRR, February, 2025
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Connectional-style-guided contextual representation learning for brain disease diagnosis.
Neural Networks, 2024
Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images.
Medical Image Anal., 2024
Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective.
CoRR, 2024
Correlation-Aware Select and Merge Attention for Efficient Fine-Tuning and Context Length Extension.
CoRR, 2024
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.
CoRR, 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking.
CoRR, 2024
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images.
CoRR, 2024
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis.
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller and Predictive Environmental Coordinator.
IEEE J. Biomed. Health Informatics, 2022
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization.
Neurocomputing, 2022
2021
Neural Networks, 2021
CoRR, 2021
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks.
CoRR, 2021
Computational drug repositioning based on the relationships between substructure-indication.
Briefings Bioinform., 2021
Adv. Intell. Syst., 2021
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Software defect prediction based on correlation weighted class association rule mining.
Knowl. Based Syst., 2020
Neurocomputing, 2020
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
A Lightweight System to Achieve Proactive Risk Management for Household ASIC-Resistant Cryptocurrency Mining.
IEICE Trans. Inf. Syst., 2019
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2018
Expert Syst. Appl., 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Gated XNOR Networks: Deep Neural Networks with Ternary Weights and Activations under a Unified Discretization Framework.
CoRR, 2017
Matrix differentiation for capacity region of Gaussian multiple access channels under weighted total power constraint.
Ann. des Télécommunications, 2017
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017
2015
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
2014
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014
A Framework to Integrate Public Information into Runtime Safety Analysis for Critical Systems.
IEICE Trans. Inf. Syst., 2014
2013
Ontology-Based Reuse of Failure Modes in Existing Databases for FMEA: Methodology and Tool.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013
2012
Software FMEA for Safety-Critical System Based on Co-analysis of System Model and Software Model.
IEICE Trans. Inf. Syst., 2012
Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering Workshops, 2012
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012
2011
Proceedings of the Web Information Systems and Mining - International Conference, 2011
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011
QP Based Framework for Development and Formal Verification of Flight Control Software of UAV.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011
2010
A Scenario-Based Architecture for Reliability Design of Artificial Intelligent Software.
Proceedings of the 2010 International Conference on Computational Intelligence and Security, 2010
2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2007
IEICE Trans. Inf. Syst., 2007
Extracting Features from Gene Ontology for the Identification of Protein Subcellular Location by Semantic Similarity Measurement.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007
2006
Analysis of the Features Extracted from Sequence for Prediction of Protein's Subcellular Localization Using Fourier Transform.
Proceedings of the 6th Industrial Conference on Data Mining, Poster Proceedings, 2006