Yifeng Tao (陶一锋)

Yifeng Tao photo 
PhD student in School of Computer Science
Carnegie Mellon University
  MI 654F, CMU, PA 15213
  412-320-1617
  yifengt@cs.cmu.edu
  http://www.cs.cmu.edu/~yifengt
 
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Welcome!

Hello, I am a rising 4th year PhD student in CMU. My research interest lies in deep learning, text mining and cancer genomics.

I have been working with Professor Russell S. Schwartz.

I am supported by the CMLH Fellowship in Digital Health in the academic year of 2019-2020.

News

2019 May. I will be giving a series lectures on Introduction to Machine Learning at Northeastern University (China). [ More...]
2019 Apr. Awarded the 2019 Center for Machine Learning and Health (CMLH) Fellowship in Digital Health. [ More...]
2019 Apr. Our paper on feature representation of clinical text accepted by NAACL-ClinicalNLP 2019. [PDF, More...]
2019 Feb. Our paper on genomic impact transformer released. [PDF, More...]
2018 Dec. Awarded the Master in Machine Learning by MLD, SCS, CMU.
History...

Education

Ph.D., Computational Biology, Carnegie Mellon University, 2016-present.
M.Sc., Machine Learning, Carnegie Mellon University, 2016-2018.
B.Ec., Economics (Second Degree), Tsinghua University, 2013-2016.
B.Eng., Automation, Tsinghua University (magna cum laude), 2012-2016.

Publications

  • Yifeng Tao, Bruno Godefroy, Guillaume Genthial, and Christopher Potts. Effective Feature Representation for Clinical Text Concept Extraction. Proceedings of the NAACL Workshop on Clinical Natural Language Processing (NAACL-ClinicalNLP), 2019.
    [pdf] [code] [data] [slides] [media] [bibtex]

  • Yifeng Tao, Chunhui Cai, William W. Cohen, and Xinghua Lu. From Genome to Phenome: Predicting Multiple Cancer Phenotypes based on Somatic Genomic Alterations via the Genomic Impact Transformer. arXiv preprint arXiv:1902.00078, 2019.
    [pdf] [code] [data] [award] [bibtex]

  • Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, and Eric P. Xing. Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. Proceedings of the Pacific Symposium on Biocomputing 24:112-123 (PSB), 2019.
    [pdf] [code] [bibtex]