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 Pdf BibTex Code Poster
	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 Pdf BibTex Code
	GraphCPI: Graph neural representation learning for compound-protein interaction Zhe Quan, Yan Guo, Xuan Lin, Zhi-Jie Wang, Xiangxiang Zeng BIBM 2019 Pdf BibTex
	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 Pdf BibTex

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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 Pdf BibTex
	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 Pdf BibTex