About me


   Hi, my name is Xuan Lin (林轩). I’m currently a four-year computer science PhD student at Hunan University, advised by Associate Prof. Zhe Quan. And I was a visiting scholar in BDSC Lab at University of Illinois at Chicago, advised by Prof. Philip S. Yu. My research generally focuses on:

  • Machine Learning
  • Graph Neural Networks, Knowledge Graph
  • Bioinformatics

Conferences

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction

Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng

IJCAI 2020

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DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction

Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, S Yu Philip

ECAI 2020

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GraphCPI: Graph neural representation learning for compound-protein interaction

Zhe Quan, Yan Guo, Xuan Lin, Zhi-Jie Wang, Xiangxiang Zeng

BIBM 2019

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A System for Learning Atoms Based on Long Short-Term Memory Recurrent Neural Networks

Zhe Quan, Xuan Lin, Zhi-Jie Wang, Yan Liu, Fan Wang, Kenli Li

BIBM 2018

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Journals

Predicting the disease risk of protein mutation sequences with pre-training model

Kuan Li, Yue Zhong, Xuan Lin, Zhe Quan

Frontiers in genetics 2020

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A novel molecular representation with BiGRU neural networks for learning atom

Xuan Lin, Zhe Quan, Zhi-Jie Wang, Huang Huang, Xiangxiang Zeng

Briefings in bioinformatics 2019

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