Effective learning model of user classification based on ensemble learning algorithms. - Qunsheng Ruan; Qingfeng Wu; Yingdong Wang; Xiling Liu; Fengyu Miao (Computing, 2019)

Modeling Flaw Pulse-Echo Signals in Cylindrical Components Using an Ultrasonic Line-Focused Transducer with Consideration of Wave Mode Conversion. - Weixin Wang; Xiling Liu; Xiongbing Li; Gang Xu; Shuzeng Zhang (Sensors, 2019)

Design of Early Warning System for Fishing Vessels in Coastal Area. - Xiling Liu; Qunsheng Ruan; Fengyu Miao; Zhiling Zhang (ICKII, 2020)

Approximate kernel partial least squares. - Xiling Liu; Shuisheng Zhou (Ann. Math. Artif. Intell., 2020)

Recommendation Model Based on a Heterogeneous Personalized Spacey Embedding Method. - Qunsheng Ruan; Yiru Zhang; Yuhui Zheng; Yingdong Wang; Qingfeng Wu; Tianqi Ma; Xiling Liu (Symmetry, 2021)

Investigation on Rupture Initiation and Propagation of Traffic Tunnel under Seismic Excitation Based on Acoustic Emission Technology. - Xiling Liu; Yuan Zeng; Ling Fan; Shuquan Peng; Qinglin Liu (Sensors, 2022)

Batch Implicit Neural Representation for MRI Parallel Reconstruction. - Hao Li 034; Yusheng Zhou; Jianan Liu; Xiling Liu; Tao Huang 008; Zhihan Lv (CoRR, 2023)

Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning. - Hao Li 034; Quanwei Liu; Jianan Liu; Xiling Liu; Yanni Dong; Tao Huang 008; Zhihan Lv (CoRR, 2023)

Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy. - Xiling Liu; Shuisheng Zhou (Entropy, 2023)

Quality-related Fault Detection Based on Approximate Kernel Partial Least Squares Method. - Xiling Liu; Shuisheng Zhou (J. Grid Comput., 2023)

Unpaired MRI Super Resolution with Contrastive Learning. - Hao Li 034; Quanwei Liu; Jianan Liu; Xiling Liu; Yanni Dong; Tao Huang 008; Zhihan Lv (ISBI, 2024)

Dynamic Visual Immersive Preview of Photolithographic Microtextured CMF Design Solutions 1. - Xiling Liu; Xiaojian Liu; Yi Liu (ISCID, 2024)

MindMeld: Design of a Brain-Computer Interaction Rehabilitation System for Children with Autism. - Shengye Lv; Hongchun Yang; Jianfeng Wu; Xiling Liu; Xutao Jiang; Jiayi Huang (ISCID, 2024)

BC-QNet: A quantum-infused ELM model for breast cancer diagnosis. - Anas Bilal; Azhar Imran; Xiaowen Liu; Xiling Liu; Zohaib Ahmad; Muhammad Shafiq 006; Ahmed M. El-Sherbeeny; Haixia Long (Comput. Biol. Medicine, 2024)