My name is Xun Qin(็งฆ่ฟ ). My research interest lies in Human-Computer Interaction and Knowledge and Software Engineering. I strive to push the limits of productivity and work-efficiency by conducting research at the intersection of AI-Generated-Content technology and multi-model interaction techniques. My focus is on developing next-generation automated working systems with digital computation and minimal human cognition.
Previously, I entered the Department of Information Engineering(School of Software & Microelectronics), Peking University in 2022 and obtained my Masterโs degree in Computer Science and Technology, advised by Prof. Yao Liu.
๐ Educations
- 2019.09 - 2022.06, Graduate, Computer Science and Technology, Peking University, Beijing.
๐ฅ News
- 2023.05: ย ๐๐ Our paper about parsing and mapping between requirement-text and code was received by CCMLโ2023.
- 2022.11: ย ๐๐ Our paper about event base construction and event detection was accepted by Journal of The China Society for Scientific and Technical Information.
- 2021.08: ย ๐๐ Our paper Construction of Text Knowledge Network Integrating Discourse Structure was posted at CCMLโ2021.
๐ป Research Experience
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2020.10 - 2021.11, Research Assistant, Institute of Scientific and Technical Information of China, Beijing.
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2021.07 - 2021.09, Research Assistant, Human Factor and Intelligent Interaction Lab, China National Institute of Standardization, Beijing.
๐ Publications
![sym](images/paper_23.png)
Business-oriented Resource Resolution on-Demand Model
Yao Liu, Xun Qin, Tianji Liu
- Proposed a set of methods and pipeline of code searching and reuse based on deep learning methods, including the parsing, mapping and semantic representation from requirement text to code.
![sym](images/paper_22.png)
Yao Liu, Xiaowei Fang, Xun Qin
- Proposed a two-branch transformer model for risk events, one branch maximizing the lexical features of risk events texts, and the other weakening the features of domain texts.
- Ultimately formed a method to build a risk event base and event detection model in the field of science and technology.
![sym](images/paper_21.png)
Construction of Text Knowledge Network Integrating Discourse Structure
Yao Liu, Lu Ye, Xun Qin
- Proposed a refined TriDNR model that combines reasoning relation for a single chapter, and a knowledge network representation model that combines different chapters.
๐ข Work Experience
- 2022.7 - Now, Information Experience Engineer, Huawei, Beijing.
- Hardware Configuration Tool
- Designed the updating and numerical computing mechanism of hardware specifications and relation data.
- Proposed the interactive and visualization method of component options and pictures.
- AutoExcel
- Completed the function design and UI design of the form automatic processing tool and developed into a GUI software based on pyQt, to realize the automatic processing of form data according to the business requirements.
- Image Match and Coordinate Extract Tool
- Used openCV to match pictures of the deviceโs parts and return the coordinates where they are located.
- Hardware Configuration Tool
- 2021.12 - 2022.6, Digital Strategist, Wanfang Data, Beijing.
- Knowledge Graph Construction System for the Great Wall History and Culture
- XML schemas design about the Great Wall, including the history, architecture, weapons, wars, spots, cultural relics, villages, literary works and so on.
- Resource Structuralization, the Great Wall ontology and relation mining, regarding villages as pivotal concepts.
- Explore the development of villages in spatial and temporal dimensions and laying foundation for network visualization.
- Big Data Platform for Nursing Medicine
- Structuralized and integrated 60+ books, 1 million+ articles in 240+ journals in nursing and retrieved 20,000 concepts and 50 properties collaboratively.
- Provided support resources for downstream services including semantic retrieval, auto-generated wiki and abstract.
- Knowledge Structure Construction System in Chemistry
- Structuralized and integrated 5000+ books, 215 million+ paragraphs collaboratively.
- Built chemical ontologies including chemical products, components, equipment, factories and manufacturing techniques, etc. Retrieved 21711 concepts (17358 with semantic index), 214 properties, 786 pairs of related entities collaboratively.
- Knowledge Graph Construction System for the Great Wall History and Culture
๐ Honors and Awards
- Second-prize Scholarship of Peking University
- Provincial Government Scholarship(2%)