Xinqi Gong

According to our database, Xinqi Gong authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A review of computational models for predicting protein-protein interaction and non-interaction.

Nan Zhao, Xinqi Gong

Commun. Inf. Syst., 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

DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein.

Daiwen Sun, He Huang, Yao Li, Xinqi Gong, Qiwei Ye

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

An adaptive variational model for multireference alignment with mixed noise.

Cuicui Zhao, Jun Liu, Xinqi Gong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Inter-protein contact map generated only from intra-monomer by image inpainting.

He Huang, Chengshi Zeng, Xinqi Gong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Heterogeneous multiple kernel learning for breast cancer outcome evaluation.

Xingheng Yu, Xinqi Gong, Hao Jiang

BMC Bioinform., 2020

2019

Protein-Protein Interaction Interface Residue Pair Prediction Based on Deep Learning Architecture.

Zhenni Zhao, Xinqi Gong

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

An automatic particle picking method based on Generative Adversarial Network.

Fang Kong, Xirong Li, Qing Liu, Chuangye Yan, Xinqi Gong

Commun. Inf. Syst., 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

Trimer Protein-Protein Complex Interface Interacting Residue Pairs Prediction Using Deep Learning Approach.

Zhenni Zhao, Xinqi Gong

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

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

Volumetric Densely Dilated Spatial Pooling ConNets for Prostate Segmentation.

Qiuhua Liu, Min Fu, Hao Jiang, Xinqi Gong

CoRR, 2018

Natural distinct inter-preference between genetic codon and protein secondary structure combinations.

Zhuomaji Gong, Xinqi Gong

Commun. Inf. Syst., 2018

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

2017

Understanding Protein-Protein Interface Formation Mechanism in a New Probability Way at Amino Acid Level.

Yongxiao Yang, Xinqi Gong

Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017