Xinyi Wu
Scholar

Xinyi Wu

Google Scholar ID: LQfCBpEAAAAJ
Shanghai Jiao Tong University
AI for educationSTEM educationEducational Technology
Citations & Impact
All-time
Citations
47
 
H-index
4
 
i10-index
3
 
Publications
10
 
Co-authors
3
list available
Publications
10 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • May 2025, One paper accepted by ACL 2025
  • June 2024, Received the Shanghai Outstanding Graduates Prize
  • November 2023, 1 paper accepted by ISLS
  • September 2023, 1 paper accepted by Shanghai Education
  • August 2023, 2 papers accepted by IEEE, SITE
  • May 2023, 1 paper accepted by ICEIT (Spotlight)
  • Preprint: Submitted to IEEE TKDE, From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM
  • Preprint: Submitted to ACM Computing Surveys, Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models
  • Published: ACL 2025, Uni-Retrieval: A Multi-Style Retrieval Framework for STEM’s Education
  • Published: British Journal of Educational Technology, The Impact of Generative AI on Self-Directed Learning Among Chinese University Students
  • Published: ICALT 2025, Unveiling the Evolution and Trend Prediction of Large Language Models in Education: A Review Using BERTopic and LSTM Modeling
  • Published: ICEIT 2023 Spotlight, Exploration of mathematics education by metaverse technology
  • Published: International Society of Learning Sciences, Learning Communities a Collaborative Approach Towards to Trusting Symbiosis
  • Published: Society for Information Technology and Teacher Education, Design and Practice of Educational Games Base on Metaverse Scenarios
  • Published: International Journal of Artificial Intelligence in Education, Leveraging GenAI in Design Drawing: A Case Study of an Architecture Course in Chinese University
  • Published: Education and Information Technologies, Factors influencing behavioral intention to use e-learning in higher education during the COVID-19 pandemic: A meta-analytic review based on the UTAUT2 model
Background
  • Currently a PhD candidate at Shanghai JiaoTong University, with research interests including AI for STEM Education, LLM-based Agent, and Analysis/Application of Educational Technology. Aiming to develop educational models to intelligentise STEM education in China.
Miscellany
  • Collaborates with researchers, particularly with Dr. Yanhao Jia on multi-modal tasks and Dr. Shuai Zhao on LLMs-related tasks.