Yifeng Tao (陶一锋)
 |
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 |
 |
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]