Xianqi Li

21 papers Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fully Convolutional Spatiotemporal Learning for Microstructure Evolution Prediction.
CoRR
Michael Trimboli, Mohammed Alsubaie, Sirani M. Perera, Ke-Gang Wang, Xianqi Li
2026 J jnl
Privacy-preserving activity recognition method based on WiFi signals: adaptive CSI enhancement and deep reinforcement learning.
Wirel. Networks
Jiai He, Xue Zhao, Xianqi Li
2025 J jnl
A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers.
CoRR
Hansaka Aluvihare, Sivakumar Sivasankar, Xianqi Li, Arjuna Madanayake, Sirani M. Perera
2025 J jnl
A Low-complexity Structured Neural Network to Realize States of Dynamical Systems.
CoRR
Hansaka Aluvihare, Levi E. Lingsch, Xianqi Li, Sirani M. Perera
2025 J jnl
Biomechanics-trained diffusion model predicts post-PCI plaque morphology and rupture from IVOCT: towards an AI digital twin for stent planning.
Comput. Biol. Medicine
Jose A. Colmenarez, Pengfei Dong, Xianqi Li, Linxia Gu
2025 J jnl
Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data.
CoRR
Mohammed Alsubaie, Wenxi Liu, Linxia Gu, Ovidiu C. Andronesi, Sirani M. Perera, Xianqi Li
2025 J jnl
Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods.
CoRR
Tan-Hanh Pham, Ovidiu C. Andronesi, Xianqi Li, Kim-Doang Nguyen
2025 J jnl
Permanent Data Encoding (PDE): A Visual Language for Semantic Compression and Knowledge Preservation in 3-Character Units.
CoRR
Yoshiharu Tsuyuki, Xianqi Li, Yuji Kurihara, Kenji Mitsudo
2025 J jnl
Similarity-based context aware continual learning for spiking neural networks.
Neural Networks
Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng
2024 — conf
A Low-Complexity LSTM Network to Realize Multibeam Beamforming.
WiSEE
Hansaka Aluvihare, Carina Shanahan, Sirani M. Perera, Sivakumar Sivasankar, Umesha Kumarasiri, Arjuna Madanayake, Xianqi Li
2024 J jnl
Similarity-based context aware continual learning for spiking neural networks.
CoRR
Bing Han, Feifei Zhao, Yang Li, Qingqun Kong, Xianqi Li, Yi Zeng
2024 J jnl
seUNet-Trans: A Simple Yet Effective UNet-Transformer Model for Medical Image Segmentation.
IEEE Access
Tan-Hanh Pham, Xianqi Li, Kim-Doang Nguyen
2023 J jnl
A Comprehensive Review of Generative AI in Healthcare.
CoRR
Yasin Shokrollahi, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong, Xianqi Li, Linxia Gu
2023 J jnl
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks.
CoRR
Bing Han, Feifei Zhao, Wenxuan Pan, Zhaoya Zhao, Xianqi Li, Qingqun Kong, Yi Zeng
2023 J jnl
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment.
CoRR
Yasin Shokrollahi, Pengfei Dong, Xianqi Li, Linxia Gu
2023 J jnl
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation.
CoRR
Tan-Hanh Pham, Xianqi Li, Kim-Doang Nguyen
2020 — conf
A State Evaluation Method of Metal Oxide Arrester Based on EEMD-FCM.
ICCMA
Xianqi Li, Junwei Zhang, Qiang Luo, Zheng Zhao, Jiankun Chen, Chong Wang
2019 J jnl
An integrated inverse space sparse representation framework for tumor classification.
Pattern Recognit.
Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang
2019 J jnl
Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions".
IEEE Trans. Signal Process.
Sumanta Basu, Xianqi Li, George Michailidis
2019 J jnl
Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions.
IEEE Trans. Signal Process.
Sumanta Basu, Xianqi Li, George Michailidis
2018 J jnl
Breast Tumor Classification Based on Decision Information Genes and Inverse Projection Sparse Representation.
CoRR
Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang