LIRNet: Local Integral Regression Network for Both Strongly and Weakly Supervised Nuclei Detection. - Xiao Zhou; Zhen Cheng; Miao Gu; Fei Chang (BIBM, 2020)

Local Integral Regression Network for Cell Nuclei Detection. - Xiao Zhou; Miao Gu; Zhen Cheng 005 (Entropy, 2021)

Striped-Cross Attention Network with Implicit Semantic Knowledge for Antibody Structure Prediction. - Miao Gu; Min Liu (MICAD, 2022)

An Influence Network-Based Consensus Model for Large-Scale Group Decision Making with Linguistic Information. - Shengbao Yao; Miao Gu (Int. J. Comput. Intell. Syst., 2022)

Nanobody-antigen interaction prediction with ensemble deep learning and prompt-based protein language models. - Juntao Deng; Miao Gu; Pengyan Zhang; Mingyu Dong; Tao Liu; Yabin Zhang; Min Liu 013 (Nat. Mac. Intell., 2024)

SwinDPSR: Dual-Path Face Super-Resolution Network Integrating Swin Transformer. - Xing Liu; Yan Li; Miao Gu; Hailong Zhang; Xiaoguang Zhang; Junzhu Wang; Xindong Lv; Hongxia Deng (Symmetry, 2024)

Prediction of antibody-antigen interaction based on backbone aware with invariant point attention. - Miao Gu; Weiyang Yang; Min Liu (BMC Bioinform., 2024)

A stacking ensemble machine learning model for improving monthly runoff prediction. - Wen-chuan Wang; Miao Gu; Zong Li; Yang-hao Hong; Hong-fei Zang; Dong-mei Xu (Earth Sci. Informatics, 2025)

A singular spectrum analysis-enhanced BiTCN-selfattention model for runoff prediction. - Wen-chuan Wang; Feng-rui Ye; Yiyang Wang; Miao Gu (Earth Sci. Informatics, 2025)

A novel TCN-augmented CNN-LSTM architecture for accurate monthly runoff forecasting. - Dong-mei Xu; Qi-qi Zeng; Wen-chuan Wang; Miao Gu; Yiyang Wang; Zong Li (Earth Sci. Informatics, 2025)