Hanwen Zha

My Research

My research lies between natural language processing and data mining. Particularly, I focus on extracting and inferring knowledge from unstructed text and structured graph, where such knowledge can facilitate intelligent analysis and applications. I am interested in developing label efficient, easy-to-digest and user friendly models.

Education

University of California, Santa Barbara (UCSB)

• Ph.D. Candidate in Computer Science, 2016 - 2021
• Overall GPA: 4.0/4.0

Nanjing University University (NJU)

• B.S. in Computer Science, 2012 - 2016
• Overall GPA: 90/100, Major GPA: 92/100
• Member of Kuang Yaming Honor school, an elite program at NJU which aims to nurture scientists in fundamental disciplines.

Experience

• University of California, Santa Barbara
  • Research Assitant, Jun. 2017 - Sep. 2021
  • Working on Knowledge Base, Relation Extraction and Text Mining
  • Supervised by Prof. Xifeng Yan
• Facebook
  • Research Intern, Jun. 2020 - Sep. 2020
  • Working on Question Answering Over Dialogue
  • Supervised by Xi Chen & Kushal Lakhotia
• Wework
  • Research Intern, Jun. 2019 - Sep. 2019
  • Working on Augmented Floor Plan Design Generation
  • Supervised by Shengqi Yang
• Nanjing University
  • Research Assitant, Jun. 2014 - Jun. 2016
  • Working on Semi-Supervised Learning
  • Supervised by Prof. Yu-Feng Li at LAMDA Group Led by Prof. Zhi-Hua Zhou

Skills

• Programming Languages: Python, C++, JavaScript, MATLAB
• Frameworks: PyTorch, Flask, ElasticSearch, SQL
• Others: Latex, Git, Vim, Linux

Teaching

• Teaching Assistant, CS130A Algorithms and Data Structures, 2017