Yingying Yu

​Ph.D. Student
Department of Computer Science and Engineering
City University of Hong Kong
Email: yingyinyu3-c[at]my.cityu.edu.hk

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Short Bio

​I am currently a first year Ph.D. student in the Department of Computer Science and Engineering, The City University of Hong Kong, under the supervison from Prof. Shuaicheng Li. Previously, I received the B.Eng. degree from Shandong University in 2022.

My research interest lies in deep learning and machine learning with applications for DNA , RNA and Protein analysis.

  • [2022-10] I am glad that the article iDNA-ABF, which we struggled for a long time together, was accepted by Genome Biology, and I hope that we can follow up with such high quality articles.
  • [2022-03] Accepted admission as a PhD student funded by CityU, under the supervision of Prof.Shuaicheng Li.
  • [2022-03] I'm thrilled to be a part of the Biomap AIT (Peptide Aggregation) group.
  • [2022-02] I am very glad that junru's first article Mouse4mC-BGRU was accepted by Methods and participated in.
  • [2021-10] My first paper iDNA-ABT was accepted by Bioinformatics.
  • [2021-07] I am very glad to join the NLU department of NIO as an intern and explore the application of deep learning algorithm.
  • [2021-05] I am delighted to win the 17th Shandong Challenge Cup grand prize and be reported.
  • [2020-10] Join WeiLab, supervised by Prof.Leyi Wei.
Selected Publications

3DSP iDNA-ABF

Genome Biology, 2022
bibtex

Exploring the interpretable potential of deep learning models for large-scale biological sequence and functional semantic mining and to identify DNA methylation sites.
3DSP iDNA-ABT

Bioinformatics, 2021
bibtex

we further established an online webserver as the implementation of the proposed iDNA-ABT to identify DNA methylation sites.


- Love Food, Travelling, Cooking
- Born and living in Shanghai(PuTuo)
- I currently live in Jiansu(NanTong),Shanghai(JiaDing) Shandong(JiNan), Beijing(WangJing), Beijing (HaiDian), Hongkong (Kowloon Tong)
- Used to be Vice President of 山软智库 		Trivia

Design and source code from Jon Barron's website.