Publications
Published, submitted, and planned research outputs in machine learning, NLP, retrieval, and model evaluation.
LoRA Fine-Tuning of English-Norwegian NMT for the Oil & Gas Industry
Xiaojing Yang, Zhihan Li, Gege Sun, Mengyue Li, Meriem Beloucif
Published in the official EAMT 2026 proceedings. The ACL Anthology entry is forthcoming; to locate the paper in the proceedings PDF, search for the title "LoRA Fine-Tuning of English-Norwegian NMT for the Oil & Gas Industry".
EAMT 2026, Proceedings Volume 2
First author; lead experimental contributor
Modular Expert Architectures for Multilingual Domain Adaptation
Xiaojing Yang
Master's thesis on modular LoRA expert architectures for low-resource multilingual petroleum-domain NMT. Publicly summarized at a high level because the work forms the basis of an ongoing manuscript revision.
Beyond Routing: Diagnosing Modular LoRA Experts for Low-Resource Multilingual Petroleum-Domain Translation
Xiaojing Yang, Zhihan Li, Meriem Beloucif
Studies modular expert architectures for low-resource, domain-specific NMT, including language-specific LoRA adapters, learned routing, target-anchored synthetic data, terminology-aware evaluation, and routing analysis.
EMNLP 2026
First author; framework design and experimental lead
Projects
Selected research and technical projects in machine learning, NLP, retrieval, evaluation, and applied AI systems.
Experience
Research, work, and teaching experience across AI, NLP, data analysis, and machine learning.
Research Projects in Language Technology
Designed and led research projects across multilingual NLP, machine translation, retrieval, data attribution, and bias evaluation.
Data Analyst
Completed various data analytics projects spanning customer intelligence, sales optimization, and predictive modeling across e-commerce, retail, and marketing domains.
Teaching Assistant, Machine Translation
Supported 25 students across assignment marking, lab sessions, and project supervision in a machine translation course.
Skills
Methods, tools, and technical strengths supporting my research and applied AI work.
4
capability areas across research, engineering, and applied AI
40+
methods, tools, and evaluation practices used in real projects
Evidence
each skill area links back to publications, projects, or experience
AI & Machine Learning
Deep learning, Transformer adaptation, fine-tuning workflows, and model evaluation for research and applied AI systems.
NLP & Language Technology
Multilingual NLP, machine translation, retrieval, and language-technology systems for specialized domains.
Responsible AI & Evaluation
Bias evaluation, human validation, statistical testing, and model behavior analysis for social and linguistic AI risks.
Data-Centric ML
Dataset diagnostics, filtering, attribution, and quality control for understanding how training data shapes model behavior.