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)

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)

Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions. - Sumanta Basu; Xianqi Li; George Michailidis (IEEE Trans. Signal Process., 2019)

Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions". - Sumanta Basu; Xianqi Li; George Michailidis (IEEE Trans. Signal Process., 2019)

A State Evaluation Method of Metal Oxide Arrester Based on EEMD-FCM. - Xianqi Li; Junwei Zhang; Qiang Luo; Zheng Zhao; Jiankun Chen; Chong Wang (ICCMA, 2020)

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)

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks. - Bing Han 010; Feifei Zhao; Wenxuan Pan; Zhaoya Zhao; Xianqi Li; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

A Comprehensive Review of Generative AI in Healthcare. - Yasin Shokrollahi; Sahar Yarmohammadtoosky; Matthew M. Nikahd; Pengfei Dong; Xianqi Li; Linxia Gu (CoRR, 2023)

A Low-Complexity LSTM Network to Realize Multibeam Beamforming. - Hansaka Aluvihare; Carina Shanahan; Sirani M. Perera; Sivakumar Sivasankar; Umesha Kumarasiri; Arjuna Madanayake; Xianqi Li (WiSEE, 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)

Similarity-based context aware continual learning for spiking neural networks. - Bing Han 010; Feifei Zhao; Yang Li 141; Qingqun Kong; Xianqi Li; Yi Zeng 001 (Neural Networks, 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, 2025)

A Low-complexity Structured Neural Network to Realize States of Dynamical Systems. - Hansaka Aluvihare; Levi E. Lingsch; Xianqi Li; Sirani M. Perera (CoRR, 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, 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, 2025)