Information Entropy As a Basic Building Block of Complexity Theory. - Jianbo Gao; Feiyan Liu; Jianfang Zhang; Jing Hu; Yinhe Cao (Entropy, 2013)

Multiscale entropy analysis of biological signals: a fundamental bi-scaling law. - Jianbo Gao; Jing Hu; Feiyan Liu; Yinhe Cao (Frontiers Comput. Neurosci., 2015)

Identifying herding effect in Chinese stock market by high-frequency data. - Yunfei Hou; Jianbo Gao; Fangli Fan; Feiyan Liu; Changqing Song (BESC, 2017)

Can Bayesian poisson tensor factorization automatically extract interesting events from massive media reports? - Chennan Zhou; Feiyan Liu; Jianbo Gao; Changqing Song (BESC, 2017)

Characterizing Complexity Changes in Chinese Stock Markets by Permutation Entropy. - Yunfei Hou; Feiyan Liu; Jianbo Gao; Changxiu Cheng; Changqing Song (Entropy, 2017)

Complexity Changes in the US and China's Stock Markets: Differences, Causes, and Wider Social Implications. - Jianbo Gao; Yunfei Hou; Fangli Fan; Feiyan Liu (Entropy, 2020)

OVQA: A Clinically Generated Visual Question Answering Dataset. - Yefan Huang; Xiaoli Wang 002; Feiyan Liu; Guofeng Huang (SIGIR, 2022)

An evaluation method for wake effect of wind farm group based on CFD-WRF coupled wind resource map. - Junpeng Ma; Feiyan Liu; Chenggang Xiao; Kairan Wang; Zirui Liu 007 (J. Intell. Fuzzy Syst., 2023)

Impact of Convolutional Kernel Initialization based on Pixel Distribution Features on Table Recognition Performance. - Zhixuan Chen; Qi Ma; Feiyan Liu (BDIOT, 2024)

MHGRL: An Effective Representation Learning Model for Electronic Health Records. - Feiyan Liu; Liangzhi Li 004; Xiaoli Wang 002; Feng Luo; Chang Liu; Jinsong Su; Yiming Qian (LREC/COLING, 2024)

BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering. - Xiaojie Hong; Zixin Song; Liangzhi Li 004; Xiaoli Wang 002; Feiyan Liu (ECML/PKDD (9), 2024)

OEHR: An Orthopedic Electronic Health Record Dataset. - Yibo Xie; Kaifan Wang; Jiawei Zheng; Feiyan Liu; Xiaoli Wang 002; Guofeng Huang (SIGIR, 2024)

Using domain-specific keyword features to enhance deep learning-based pressure vessel inspection problem identification. - Yuyuan Zhang; Xiaolan Wang; Feiyan Liu; Yibin Jin; Zechen Liu; Kun Shi (Eng. Appl. Artif. Intell., 2025)

SwinECAT: A Transformer-based fundus disease classification model with Shifted Window Attention and Efficient Channel Attention. - Peiran Gu; Teng Yao; Mengshen He; Fuhao Duan; Feiyan Liu; RenYuan Peng; Bao Ge (CoRR, 2025)

EDRMM: enhancing drug recommendation via multi-granularity and multi-attribute representation. - Feiyan Liu; Wenhao Wang; Jiawei Zheng; Yibo Xie; Xiaoli Wang; Dongxiang Zhang (BMC Bioinform., 2025)