Understanding Protein-Protein Interface Formation Mechanism in a New Probability Way at Amino Acid Level. - Yongxiao Yang; Xinqi Gong (ISBRA, 2017)

Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images. - Min Fu; Wenming Wu; Xiafei Hong; Qiuhua Liu; Jialin Jiang; Yaobin Ou; Yupei Zhao; Xinqi Gong (BMC Syst. Biol., 2018)

Natural distinct inter-preference between genetic codon and protein secondary structure combinations. - Zhuomaji Gong; Xinqi Gong (Commun. Inf. Syst., 2018)

Volumetric Densely Dilated Spatial Pooling ConNets for Prostate Segmentation. - Qiuhua Liu; Min Fu; Hao Jiang; Xinqi Gong (CoRR, 2018)

Geometric and amino acid type determinants for protein-protein interaction interfaces. - Yongxiao Yang; Wei Wang; Yuan Lou; Jianxin Yin; Xinqi Gong (Quant. Biol., 2018)

Trimer Protein-Protein Complex Interface Interacting Residue Pairs Prediction Using Deep Learning Approach. - Zhenni Zhao; Xinqi Gong (BCB, 2019)

Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction. - Jiale Liu; Xinqi Gong (BMC Bioinform., 2019)

An automatic particle picking method based on Generative Adversarial Network. - Fang Kong; Xirong Li 001; Qing Liu; Chuangye Yan; Xinqi Gong (Commun. Inf. Syst., 2019)

Protein-Protein Interaction Interface Residue Pair Prediction Based on Deep Learning Architecture. - Zhenni Zhao; Xinqi Gong (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Heterogeneous multiple kernel learning for breast cancer outcome evaluation. - Xingheng Yu; Xinqi Gong; Hao Jiang (BMC Bioinform., 2020)

Inter-protein contact map generated only from intra-monomer by image inpainting. - He Huang; Chengshi Zeng; Xinqi Gong (BIBM, 2021)

Inter-chain contact map prediction for protein complex based on graph attention network and triangular multiplication update. - Tong Wu; He Huang; Jiashan Li; Wenda Wang; Xinqi Gong (BIBM, 2022)

An adaptive variational model for multireference alignment with mixed noise. - Cuicui Zhao; Jun Liu 029; Xinqi Gong (BIBM, 2022)

DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein. - Daiwen Sun; He Huang; Yao Li; Xinqi Gong; Qiwei Ye (NeurIPS, 2023)

Quantitative anatomy of characteristics and influencing factors of PM2.5 and O3 in Liaoning province of China. - Hongmei Yang; Yanqi Liu; Xiaoqiu Jiang; Xinqi Gong (Commun. Inf. Syst., 2023)

A review of computational models for predicting protein-protein interaction and non-interaction. - Nan Zhao; Xinqi Gong (Commun. Inf. Syst., 2023)

ABAG-docking benchmark: a non-redundant structure benchmark dataset for antibody-antigen computational docking. - Nan Zhao; Bingqing Han; Cuicui Zhao; Jinbo Xu; Xinqi Gong (Briefings Bioinform., 2024)

TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment. - Bingqing Han; Yipeng Zhang; Longlong Li; Xinqi Gong; Kelin Xia (Briefings Bioinform., 2025)

$ mathcal{S}$ able: bridging the gap in protein structure understanding with an empowering and versatile pre-training paradigm. - Jiashan Li; Xi Chen; He Huang; Mingliang Zeng; Jingcheng Yu; Xinqi Gong; Qiwei Ye (Briefings Bioinform., 2025)

Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity. - Jiashan Li; Xinqi Gong (BMC Bioinform., 2025)