主讲人
Xuliang Zhu
Shanghai Jiao Tong University
时间
2026年9月29日 星期二
下午 15:30-16:30
地点
学院104会议室
Abstract
Modern data systems often contain rich structural information, such as hierarchies, graphs, dependencies, and logic networks. Structure-Aware Data Management studies how such structures can be exploited to improve the efficiency and interpretability of data analysis. Three research directions are presented. The first focuses on summarization methods for hierarchical DAGs and hierarchical time series. The second studies structure-aware interactive search on trees and DAGs to reduce user interaction cost. The third applies structural information to AIG rewriting for scalable logic-network optimization. Together, these works demonstrate how structural information can serve as a computational resource for managing complex data systems.
Biography
Xuliang Zhu is an Assistant Research Fellow at Shanghai Jiao Tong University. He received his Ph.D. in Computer Science from Hong Kong Baptist University. His research focuses on graph databases, structural data management, interactive search, and logic synthesis. His research has been published in venues including VLDB, KDD, CIKM, TKDE, TODS, and DAC. He also received the CIKM Best Paper Nominee Award and the IWLS Best Student Paper Award.
