Xianqi Li

According to our database, Xianqi Li authored at least 20 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Privacy-preserving activity recognition method based on WiFi signals: adaptive CSI enhancement and deep reinforcement learning.

Jiai He, Xue Zhao, Xianqi Li

Wirel. Networks, February, 2026

Fully Convolutional Spatiotemporal Learning for Microstructure Evolution Prediction.

Michael Trimboli, Mohammed Alsubaie, Sirani M. Perera, Ke-Gang Wang, Xianqi Li

CoRR, February, 2026

2025

Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data.

Mohammed Alsubaie, Wenxi Liu, Linxia Gu, Ovidiu C. Andronesi, Sirani M. Perera, Xianqi Li

CoRR, October, 2025

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

Yoshiharu Tsuyuki, Xianqi Li, Yuji Kurihara, Kenji Mitsudo

CoRR, July, 2025

Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods.

Tan-Hanh Pham, Ovidiu C. Andronesi, Xianqi Li, Kim-Doang Nguyen

CoRR, May, 2025

A Low-complexity Structured Neural Network to Realize States of Dynamical Systems.

Hansaka Aluvihare, Levi E. Lingsch, Xianqi Li, Sirani M. Perera

CoRR, March, 2025

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

Hansaka Aluvihare, Sivakumar Sivasankar, Xianqi Li, Arjuna Madanayake, Sirani M. Perera

CoRR, March, 2025

Similarity-based context aware continual learning for spiking neural networks.

Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng

Neural Networks, 2025

Super-Resolution MR Spectroscopic Imaging via Diffusion Models for Tumor Metabolism Mapping.

Mohammed Alsubaie, Sirani M. Perera, Linxia Gu, Sean B. Subasi, Ovidiu C. Andronesi, Xianqi Li

J. Imaging Inform. Medicine, 2025

Biomechanics-trained diffusion model predicts post-PCI plaque morphology and rupture from IVOCT: towards an AI digital twin for stent planning.

Jose A. Colmenarez, Pengfei Dong, Xianqi Li, Linxia Gu

Comput. Biol. Medicine, 2025

2024

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

Tan-Hanh Pham, Xianqi Li, Kim-Doang Nguyen

IEEE Access, 2024

A Low-Complexity LSTM Network to Realize Multibeam Beamforming.

Hansaka Aluvihare, Carina Shanahan, Sirani M. Perera, Sivakumar Sivasankar, Umesha Kumarasiri, Arjuna Madanayake, Xianqi Li

Proceedings of the IEEE International Conference on Wireless for Space and Extreme Environments, 2024

2023

A Comprehensive Review of Generative AI in Healthcare.

Yasin Shokrollahi, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong, Xianqi Li, Linxia Gu

CoRR, 2023

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

Bing Han, Feifei Zhao, Wenxuan Pan, Zhaoya Zhao, Xianqi Li, Qingqun Kong, Yi Zeng

CoRR, 2023

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

Yasin Shokrollahi, Pengfei Dong, Xianqi Li, Linxia Gu

CoRR, 2023

2020

A State Evaluation Method of Metal Oxide Arrester Based on EEMD-FCM.

Xianqi Li, Junwei Zhang, Qiang Luo, Zheng Zhao, Jiankun Chen, Chong Wang

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".

Sumanta Basu, Xianqi Li, George Michailidis

IEEE Trans. Signal Process., 2019

Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions.

Sumanta Basu, Xianqi Li, George Michailidis

IEEE Trans. Signal Process., 2019

An integrated inverse space sparse representation framework for tumor classification.

Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang

Pattern Recognit., 2019

2018

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

Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang

CoRR, 2018