Scholar
Yiyang Bian
Google Scholar ID: xQ1kv14AAAAJ
University of California, Riverside
Citations & Impact
Citations
22
H-index
3
i10-index
1
Publications
7
Co-authors
0
Publications
Resume
Academic Achievements
- - 'MODis: Generating Skyline Datasets for Data Science Models', EDBT 2025
- - 'ModsNet: Performance-aware Top-k Model Search using Exemplar Datasets', VLDB 2024
- - 'Selecting Top-k Data Science Models by Example Dataset', CIKM 2023
- - 'CRUX: Crowdsourced Materials Science Resource and Workflow Exploration', CIKM 2022
Research Experience
- Current research focuses on Geo-spatial Retrieval-Augmented Generation (RAG), exploring how large language models can be enriched with spatial data and reasoning. Unlike traditional RAG, Geo-spatial RAG requires integrating geographic context, spatial databases, and semantic retrieval to answer location-aware and context-rich questions. Particularly interested in designing frameworks that combine spatial indexing, semantic embeddings, and conversational query reformulation to achieve more accurate, transparent, and interactive responses.
Education
- - Ph.D. (Computer Science), University of California, Riverside
- - M.S. (Computer Science), Case Western Reserve University, Advisor: Prof. Yinghui Wu
- - B.S. (Computer Science), Central China Normal University
Background
- Research Interests: Database, Data Management, Machine Learning, Information Retrieval. Professional Field: Computer Science. About Me: Currently working in the Center of Geospatial Sciences at the University of California, Riverside, focusing on spatial data science, data management, query optimization, and machine learning.
Miscellany
- Personal interests not detailed