Xinqi Gong

20 papers A* 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
$\mathcal{S}$ able: bridging the gap in protein structure understanding with an empowering and versatile pre-training paradigm.
Briefings Bioinform.
Jiashan Li, Xi Chen, He Huang, Mingliang Zeng, Jingcheng Yu, Xinqi Gong, Qiwei Ye
2025 J jnl
Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity.
BMC Bioinform.
Jiashan Li, Xinqi Gong
2025 J jnl
TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment.
Briefings Bioinform.
Bingqing Han, Yipeng Zhang, Longlong Li, Xinqi Gong, Kelin Xia
2024 J jnl
ABAG-docking benchmark: a non-redundant structure benchmark dataset for antibody-antigen computational docking.
Briefings Bioinform.
Nan Zhao, Bingqing Han, Cuicui Zhao, Jinbo Xu, Xinqi Gong
2023 J jnl
A review of computational models for predicting protein-protein interaction and non-interaction.
Commun. Inf. Syst.
Nan Zhao, Xinqi Gong
2023 A* conf
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein.
NeurIPS
Daiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye
2023 J jnl
Quantitative anatomy of characteristics and influencing factors of PM2.5 and O3 in Liaoning province of China.
Commun. Inf. Syst.
Hongmei Yang, Yanqi Liu, Xiaoqiu Jiang, Xinqi Gong
2022 — conf
An adaptive variational model for multireference alignment with mixed noise.
BIBM
Cuicui Zhao, Jun Liu, Xinqi Gong
2022 — conf
Inter-chain contact map prediction for protein complex based on graph attention network and triangular multiplication update.
BIBM
Tong Wu, He Huang, Jiashan Li, Wenda Wang, Xinqi Gong
2021 — conf
Inter-protein contact map generated only from intra-monomer by image inpainting.
BIBM
He Huang, Chengshi Zeng, Xinqi Gong
2020 J jnl
Heterogeneous multiple kernel learning for breast cancer outcome evaluation.
BMC Bioinform.
Xingheng Yu, Xinqi Gong, Hao Jiang
2019 J jnl
An automatic particle picking method based on Generative Adversarial Network.
Commun. Inf. Syst.
Fang Kong, Xirong Li, Qing Liu, Chuangye Yan, Xinqi Gong
2019 J jnl
Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction.
BMC Bioinform.
Jiale Liu, Xinqi Gong
2019 J jnl
Protein-Protein Interaction Interface Residue Pair Prediction Based on Deep Learning Architecture.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhenni Zhao, Xinqi Gong
2019 — conf
Trimer Protein-Protein Complex Interface Interacting Residue Pairs Prediction Using Deep Learning Approach.
BCB
Zhenni Zhao, Xinqi Gong
2018 J jnl
Geometric and amino acid type determinants for protein-protein interaction interfaces.
Quant. Biol.
Yongxiao Yang, Wei Wang, Yuan Lou, Jianxin Yin, Xinqi Gong
2018 J jnl
Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.
BMC Syst. Biol.
Min Fu, Wenming Wu, Xiafei Hong, Qiuhua Liu, Jialin Jiang, Yaobin Ou, Yupei Zhao, Xinqi Gong
2018 J jnl
Natural distinct inter-preference between genetic codon and protein secondary structure combinations.
Commun. Inf. Syst.
Zhuomaji Gong, Xinqi Gong
2018 J jnl
Volumetric Densely Dilated Spatial Pooling ConNets for Prostate Segmentation.
CoRR
Qiuhua Liu, Min Fu, Hao Jiang, Xinqi Gong
2017 — conf
Understanding Protein-Protein Interface Formation Mechanism in a New Probability Way at Amino Acid Level.
ISBRA
Yongxiao Yang, Xinqi Gong