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:

Bibliography

2025
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models.
CoRR, August, 2025

SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and 𝒪(T) Complexity.
CoRR, May, 2025

Autoregressive Image Generation with Randomized Parallel Decoding.
CoRR, March, 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

Scalable Autoregressive Image Generation with Mamba.
CoRR, 2024

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.
CoRR, 2024

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN.
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

Deep Directly-Trained Spiking Neural Networks for Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Test-Time Training-Free Domain Adaptation.
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

MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network.
CoRR, 2022

Rethinking Pretraining as a Bridge from ANNs to SNNs.
CoRR, 2022

2021
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
Neural Networks, 2021

Advancing Residual Learning towards Powerful Deep Spiking Neural Networks.
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

A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems.
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

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Going Deeper With Directly-Trained Larger Spiking Neural Networks.
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

A deadlock-free physical mapping method on the many-core neural network chip.
Neurocomputing, 2020

LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.
CoRR, 2020

Kronecker CP Decomposition with Fast Multiplication for Compressing RNNs.
CoRR, 2020

Hybrid Tensor Decomposition in Neural Network Compression.
CoRR, 2020

Restoring Negative Information in Few-Shot Object Detection.
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

Transfer Learning in General Lensless Imaging through Scattering Media.
CoRR, 2019

Bridging adversarial samples and adversarial networks.
CoRR, 2019

Efficient Mapping without Deadlock on the Many-core Neural Network Chip.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018
Training deep neural networks with discrete state transition.
Neurocomputing, 2018

A novel software defect prediction based on atomic class-association rule mining.
Expert Syst. Appl., 2018

Training and Inference with Integers in Deep Neural Networks.
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

A Fault Diagnosis Expert System for Flight Control Software Based on SFMEA and SFTA.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

2015
A new computing rule for neuromorphic engineering.
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015

An entropy-based method for estimating demographic trends.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014
A Modified FTA Approach to Achieve Runtime Safety Analysis of Critical Systems.
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

Ontology-Based Reuse of Failure Modes for FMEA: Methodology and Tool.
Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering Workshops, 2012

Online learning with kernels in classification and regression.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Fault Model Libraries for Safety Analysis and their Ontology-based Reuse.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

2011
Passive Data Storage Based Housewares Store Management System.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

FTA Based Runtime Evaluation of System Reliability for Autonomous Unmanned Vehicle.
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

SysML Aided Safety Analysis for Safety-Critical Systems.
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
A Novel Ontology-Aided Method for Integrating Prior Knowledge into Data Mining.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A Formal Method Based Case Study for Access Control.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2007
Incorporating Metadata into Data Mining with Ontology.
IEICE Trans. Inf. Syst., 2007

An On-Demand QoS Service Composition Protocol for MANETs.
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


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