Xianqi Li

Orcid: 0000-0002-7687-4287

According to our database1, Xianqi Li authored at least 15 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Permanent Data Encoding (PDE): A Visual Language for Semantic Compression and Knowledge Preservation in 3-Character Units.
CoRR, July, 2025

Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods.
CoRR, May, 2025

A Low-complexity Structured Neural Network to Realize States of Dynamical Systems.
CoRR, March, 2025

A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers.
CoRR, March, 2025

Similarity-based context aware continual learning for spiking neural networks.
Neural Networks, 2025

2024
seUNet-Trans: A Simple Yet Effective UNet-Transformer Model for Medical Image Segmentation.
IEEE Access, 2024

A Low-Complexity LSTM Network to Realize Multibeam Beamforming.
Proceedings of the IEEE International Conference on Wireless for Space and Extreme Environments, 2024

2023
A Comprehensive Review of Generative AI in Healthcare.
CoRR, 2023

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks.
CoRR, 2023

Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment.
CoRR, 2023

2020
A State Evaluation Method of Metal Oxide Arrester Based on EEMD-FCM.
Proceedings of the 8th International Conference on Control, Mechatronics and Automation, 2020

2019
Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions".
IEEE Trans. Signal Process., 2019

Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions.
IEEE Trans. Signal Process., 2019

An integrated inverse space sparse representation framework for tumor classification.
Pattern Recognit., 2019

2018
Breast Tumor Classification Based on Decision Information Genes and Inverse Projection Sparse Representation.
CoRR, 2018


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