Curriculum Vitae

Public Effects of the 2019 Revision to the China Trademark Law        

Research Assistant to Prof. Yang Shi ｜Mar.2022 – Present

• Employed Python to crawl the Tianyanchadatabase and constructed a MySQL database including 31 attributes for over 130,000 firms that may have trademark infringement, and about 6,300 firms that breached trademark law were further recognized via Machine Learning
• Developed a Python Crawler to collect over 70,000 legal judgments from the Pkulaw database, then utilized Natural Language Processing techniques to extract entities such as plaintiff, defendant, and amount

The Construction of Chinese Climate Change Classification Framework and Its Visual Analysis of Climate Funding Flows in China

Research Assistant to Prof. Na Ni｜Mar.2020 – May.2022

• Collected over 12,000 academic papers in English and Chinese about climate change from CNKI and the Web of Science database, as well as 8,767 China Charity Foundation Annual Reports in 2008-2019
• Used a classification framework for climate change through Co-word Analysis and Text Segmentation techniques and applied Visualization Analysis to depict the changing pattern of climate philanthropy in China by analyzing donors, subfields, and flow of funds
• Provided suggestions for funders, charities, and policymakers in addressing climate change

Text Analysis in Public Service: Research on Users’ Needs and Response Strategies of Museum

Research Assistant to Prof. Yurong Huang｜Cultural Industry and Policy Research Center of Shenzhen University｜Sept.2020 – Mar.2022

• Interviewed nine museum directors face-to-face to gain insight into the present state of museum services in the Greater Bay Area
• Applied Python Crawler to gather public consultation and users’ online comments about the museum, including over 20,000 comments collected on Ctrip, Mafengwo, TripAdvisor, and other OTAs and social media like WeChat and Weibo
• Utilized Text analysis and machine learning methods like co-occurrence networks, sentiment analysis, and cluster analysis to discover museum users’ core needs and motivations and presented to Shenzhen Propaganda Department how the museum can better serve the public

Interdisciplinary Study on Employment Policy and Education Satisfaction

Research Assistant to Prof. Jing Sun｜Teaching and Research Center of Shenzhen University｜Jul.2020 – Sept.2021

• Performed literature reviews on policy tool theory, gathered policies on graduate employment promotion published by the Chinese government in COVID-19 and made suggestions to policymakers after doing Content Analysis and Quantitative Analysis using Python and SPSS
• Contributed to recycling 15,110 valid surveys and utilized Excel to match and clean data, ensuring its accuracy and completeness
• Implemented SPSS and MPlus to evaluate the validity and reliability of the scale, conducted statistical analysis and regression analysis on the data, and created charts, tables, and figures based on the results.

Research on Internet of Things Bank and Its Financial Services Innovation

Research Assistant, advisor: Prof. Ying Chen｜Nov.2020 – Jul.2021

• Learned over ten lectures about Fintech Frontier and conducted case studies of Internet of Things Finance applications for individuals, corporations, and bank management, resulting in more than 16,000 words in the research report
• Conducted online interviews and field research to analyze micro-loans from the perspectives of product design, business processes, risk management, etc., and prepared a research report with over 12,000 words on micro-loans under financial policies

Artificial Intelligence and Technology, from Ethics to Law

Research Assistant and Teaching Assistants to Prof. Chong Wang｜Institute of International Law, Sun Yat-Sen University ｜ May.2019 – Jun.2021

• As the Teaching Assistant for the Law and Artificial Intelligence course at Sun Yat-sen University,participated in the course’s design, and the writing of over 300 pages of slides for five of the course’s chapters dependently, which received a satisfaction rating of 4.9/5
• Researched the issue of the interaction between Law and Artificial Intelligence, was responsible for the literature review and data collecting, then summarized, compared, and visualized the data, as well as formatted three papers using Word and LaTeX