Email: haoj8711@gmail.com
Tel: 850-800-6566

About

I’m Jie Hao, a 4th-year Ph.D. Candidate in Statistics at Florida State University (FSU), advised by Jinfeng Zhang. My research broadly lies around Natural Language Processing and Statistical Machine Learning. My current research focuses on Machine Translation and Biomedical Text Mining.

Education

Florida State University, Tallahassee, FL, USA
Ph.D. in Statistics, Aug 2016-present

Fudan University, Shanghai, China
B.S. in Mathematics, Sep 2012-June 2016

Experience

Amazon, Alexa AI
Applied Scientist Intern, Jan 2020 - present

Tencent AI Lab
Research Intern, May 2018 - May 2019

Publications

Multi-Granularity Self-Attention for Neural Machine Translation.
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, and Zhaopeng Tu.
In EMNLP, 2019.

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons.
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, and Zhaopeng Tu.
In EMNLP, 2019.

Modeling Recurrence for Transformer.
Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, and Zhaopeng Tu.
In NAACL, 2019. (Oral)

Mining protein interactions affected by mutations using a NLP based machine learning approach.
Jinchan Qu, Albert Steppi, Jie Hao, Jian Wang, Pei-Yau Lung, Tingting Zhao, Zhe He and Jinfeng Zhang.
In Proceedings of BioCreative VI workshop, 2017.

Triage of Documents containing protein interactions affected by mutations using a NLP based machine learning approach.
Albert Steppi, Jinchan Qu, Jie Hao, Jian Wang, Pei-Yau Lung, Tingting Zhao, Zhe He and Jinfeng Zhang.
Under review by DATABASE.

Professional Service

Program Committee: AACL 2020, COLING 2020, CCL 2019&2020
Reviewer/External Reviewer: EMNLP 2018&2019, AAAI 2019&2020, NAACL 2019, ACL 2019, IJCAI 2019