Jianfeng He 何建锋

Jianfeng He 何建锋

Fifth year Ph.D. student

Virginia Tech

About me

Hi, everyone! My name is Jianfeng He.

I am a 5th-year Ph.D. student in the CS@Virginia Tech. I research on computer vision, natural language processing. For the natural language processing, I study on the uncertainty analysis in its applications (e.g., text classification, few-shot, named entity recognition, and text summarization). For the computer vision, I focus on guided image editing. In addition, I worked on cross-modal retrieval when I was a master student in the University of Chinese Academy of Sciences.

It is exciting to announce that I will join AWS as an Applied Scientist in June 2024.

My contact: jianfenghe@vt.edu

Interests
  • Uncertainty Estimation
  • Natural Language Processing
  • Computer Vision
  • Multi-modal
Education
  • PhD in Computer Science, 2019.01-2024.05

    Virginia Tech

  • First-semester PhD study, 2018.08-2018.12

    University of Pittsburg

  • MSc in Computer Science, 2014.09-2017.07

    University of Chinese Academy of Sciences

  • Visiting Student, 2015.07-2017.07

    Institute of Computing Technology, Chinese Academy of Sciences

  • BSc in Digital Media Technology, 2010.09-2014.06

    Central China Normal University

Skills

Project

Image/Text Understanding/Generation

Programming

Python, Matlab, C++, Shell

Machine Learning

PyTorch, Numpy, Linux1

Experience

 
 
 
 
 
AWS AI Lab@Amazon
Applied Scientist Intern
AWS AI Lab@Amazon
May 2023 – August 2023 Seattle

Responsibilities include:

  • Address semi-supervised dialogue summarization
  • Quantify the uncertainty of generated dialogues
 
 
 
 
 
AWS AI Lab@Amazon
Applied Scientist Intern
AWS AI Lab@Amazon
May 2022 – August 2022 Seattle

Responsibilities include:

  • Address Zero-Shot Spoken Language Understanding
  • Use audio-text pairs and text-semantics pairs to learn a spoken language processing
 
 
 
 
 
Tencent@NorthAmerica
Research Intern
Tencent@NorthAmerica
May 2021 – August 2021 Seattle

Responsibilities include:

  • Pretrained Multimodal Chinese Dialogue Model
  • Embedding the words, sentences and image in to the dialogue model