I am a Ph.D. candidate in Data Science at the Data Management Lab led by Professor Lei Zou at the Wangxuan Institute of Computer Technology, Peking University. I am also affiliated with the Academy for Advanced Interdisciplinary Studies, Peking University.
Research Interests
Broadly speaking, I am interested in the management and processing of semi-structured data.
More specifically, I am interested in efficient graph algorithms under diverse data & query paradigms.
I am also interested in graph query optimization from the database system’s perspective and facilitating end users’ understanding of graph data by query learning and visualization.
I am currently working on efficient path query processing on graphs.
CV
Publications
Yue Pang, Lei Zou, Jeffrey Xu Yu and Linglin Yang, "Materialized View Selection & View-Based Query Planning for Regular Path Queries", SIGMOD, 2024.
Yue Pang, Linglin Yang, Lei Zou and M. Tamer Özsu, "gFOV: A Full-Stack SPARQL Query Optimizer & Plan Visualizer", CIKM Demo Track, 2023.
Yue Pang, Lei Zou and Yu Liu, "IFCA: Index-Free Community-Aware Reachability Processing Over Large Dynamic Graphs", ICDE, 2023.
Linglin Yang, Lei Yang, Yue Pang and Lei Zou, "gCBO: A Cost-based Optimizer for Graph Databases," CIKM Demo Track, 2022.
Yu Liu, Qian Ge, Yue Pang and Lei Zou, "Hop-constrained Subgraph Query and Summarization on Large Graphs," GDMA, 2021.
Yucheng Yang, Yue Pang, Guanhua Huang, and Weinan E, "The Knowledge Graph for Macroe- conomic Analysis with Alternative Big Data," SSRN Journal, 2020.
Personal
Apart from research, I am also an archer who shoots with an Olympic recurve bow. I am on Peking University's student archery team.
My super cool bow is shown below.
It is not an exaggeration that I can hardly live without music. My current favorite musician is Ryuichi Sakamoto.