About me
Yang Yajing is a PhD student at WING-NUS and a specialist data scientist at Rio Tinto. Her research interests include Data-to-Text Generation and Financial NLP. Her current work focuses on data narration, with emphasis on developing knowledge-augmented approaches that enable domain-specific, in-depth analysis of complex financial datasets and their applications to real-world problems such as automated financial reporting.
Research Interests
- Data-to-text Generation
- Financial NLP
- Information Retrieval
- Natural Language Generation
Education
- Ph.D in Computer Science, National University of Singapore, 2020 - Present
- Master of Computing, National University of Singapore, 2017 - 2018
- BEng in Electrical and Electronics Engineering, Nanyang Technological University, 2011 - 2015
Selected Publications
KAHAN: Knowledge-Augmented Hierarchical Analysis and Narration for Financial Data Narration
Yajing Yang, Tony Deng, Min-Yen Kan
Findings of EMNLP 2025
Paper | CodeDataTales: A Benchmark for Real-World Intelligent Data Narration
Yajing Yang, Qian Liu, Min-Yen Kan
EMNLP 2024
PaperScientific document processing: challenges for modern learning methods
Abhinav Ramesh Kashyap, Yajing Yang, Min-Yen Kan
International Journal on Digital Libraries, 2023
Paper
Work Experience
- Data Science - Specialist, Rio Tinto, Jun 2020 – Present
- Location: Singapore
- Lead client-facing data science projects for different Rio Tinto entity
- Provide mentorship and coaching to the intern data scientists on technical skillset and innovative data science critical thinking
- Data Scientist, Rio Tinto, Aug 2018 – May 2020
- Location: Singapore
- Design and continually improve services that solve business problems and provide insight to making improved decisions for various business functions
- Data Scientist Intern, Teralytics, Jan 2018 – Apr 2018
- Location: Singapore
- Provide support for big data projects development
- Design and develop model evaluation scripts, analyze and present evaluation results