Hongjie Chen (陈洪杰)
Ph.D. Student
Department of Computer Science
Biography
I am a first year Ph.D. student in the Department of Computer Science at Virginia Tech. I am very fortunate to work with Dr. Hoda Eldardiry.
I received my Bachelor's degree in Computer Science from Xiamen University in Xiamen, China.
Research InterestsMy research focus mainly lies in the field of data mining, specifically in graph and time-series analysis. The research area has been recognized as having applications in many domains such as social networking, epidemiology analysis and resources allocation optimization. There are many existed problems in the field that remain challenging like demand forecasting and link prediction.
Experiences
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2019-present
Ph.D. program in Computer Science at Virginia Tech
Advised by Dr. Hoda Eldardiry -
2015-2019
Bachelor student in Computer Science at Xiamen University
Coadvised by Dr. Xiangrong Liu
and Dr. Xiangxiang Zeng
Publications
Abstract Recent studies have demonstrated that IncRNAs play pivotal roles in various biological processes. Some computational methods have been developed to infer IncRNA-disease associations. However, the experimental identification is time-consuming. In this paper, we introduce a method named NNHLDA, which is based on neighborhood information aggregation in neural network. NNHLDA outperforms previous methods at IncRNA-disease association prediction in heterogeneous network. To evaluate our method, we conduct several experiments. In leave-one-out cross-validation (LOOCV) experiments, our NNHLDA method performed better than current state-of-the-art approach. Furthermore, we extracted top 100 IncRNA-disease associations identified by our method and conducted case studies on gastric cancer. The predictions have been confirmed by verified experimental results. Therefore, it is anticipated that NNHLDA could be a useful tool for biomedical researches. [link]
Desk: Togerson Hall, 3160
620 Drillfield Drive
Blacksburg, VA 24061
Email: (replace AT with @)
jeffchan AT vt.edu