Deep learning methods improve linear B-cell epitope prediction. - Tao Liu 007; Kaiwen Shi; Wuju Li (BioData Min., 2020)

Genome-wide analysis of lncRNA stability in human. - Kaiwen Shi; Tao Liu 007; Hanjiang Fu; Wuju Li; Xiaofei Zheng (PLoS Comput. Biol., 2021)

Error Analysis of a PFEM Based on the Euler Semi-Implicit Scheme for the Unsteady MHD Equations. - Kaiwen Shi; Haiyan Su; Xinlong Feng (Entropy, 2022)

EOSVERIF: An Automated Analyzer for EOSIO Smart Contracts. - Caichang Tu; Wansen Wang 001; Kaiwen Shi; Yan Xiong 001; Wenchao Huang 001 (BIGCOM, 2023)

Optimal error estimate of the penalty method for the 2D/3D time-dependent MHD equations. - Kaiwen Shi; Xinlong Feng; Haiyan Su (Numer. Algorithms, 2023)

A Research Topic Evolution Prediction Approach Based on Multiplex-graph Representation Learning. - Yang Zheng; Kaiwen Shi; Yuhang Dong; Xiaoguang Wang; Hongyu Wang (EEKE/AII@iConference, 2024)

Error analysis of a fully discrete PFEM for the 2D/3D unsteady incompressible MHD equations. - Kaiwen Shi; Haiyan Su; Xinlong Feng (Appl. Math. Comput., 2024)

An Online Review-Driven Picture Fuzzy Multi-Criteria Group Decision-Making Approach for Evaluating the Online Medical Service Quality of Doctors. - Kaiwen Shi; Juanjuan Peng (Symmetry, 2024)

Heterogeneous hypergraph learning for literature retrieval based on citation intents. - Kaiwen Shi; Kan Liu; Xinyan He (Scientometrics, 2024)

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data. - Xinran Liu; Yikun Bai; Rocio Diaz Martin; Kaiwen Shi; Ashkan Shahbazi; Bennett Allan Landman; Catie Chang; Soheil Kolouri (ICLR, 2025)

Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different Algorithms. - Kaiwen Shi; Yifei Li; Binh Ho; Jovian Wang; Kobe Guo (CoRR, 2025)