Xianqi Li

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Matrix Decomposition

Spiking Neural Networks

Tumor Classification

Top Venues

IEEE Trans. Signal Process.

Pattern Recognit.

Publications

Tan-Hanh Pham, Xianqi Li, Kim-Doang Nguyen
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation. CoRR (2023)
Yasin Shokrollahi, Sahar Yarmohammadtoosky, Matthew M. Nikahd, Pengfei Dong, Xianqi Li, Linxia Gu
A Comprehensive Review of Generative AI in Healthcare. CoRR (2023)
Bing Han, Feifei Zhao, Wenxuan Pan, Zhaoya Zhao, Xianqi Li, Qingqun Kong, Yi Zeng
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks. CoRR (2023)
Yasin Shokrollahi, Pengfei Dong, Xianqi Li, Linxia Gu
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment. CoRR (2023)
Xianqi Li, Junwei Zhang, Qiang Luo, Zheng Zhao, Jiankun Chen, Chong Wang
A State Evaluation Method of Metal Oxide Arrester Based on EEMD-FCM. ICCMA (2020)
Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang
An integrated inverse space sparse representation framework for tumor classification. Pattern Recognit. 93 (2019)
Sumanta Basu, Xianqi Li, George Michailidis
Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions. IEEE Trans. Signal Process. 67 (5) (2019)
Sumanta Basu, Xianqi Li, George Michailidis
Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions". IEEE Trans. Signal Process. 67 (7) (2019)
Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang
Breast Tumor Classification Based on Decision Information Genes and Inverse Projection Sparse Representation. CoRR (2018)