Xi Yue Gao, PhD, Master's Supervisor, Huashan Associate Professor.

Education and Work Experience:

• January 2021 - Present: Huashan Associate Professor, Master's Supervisor, School of Computer Science and Technology, Xidian University

• September 2014 - December 2020: PhD in Communication and Information Systems, School of Computer Science, Wuhan University. Supervisor: Prof. Jun Chen

• September 2010 - June 2014: Bachelor of Electrical Engineering and Automation, School of Electrical Engineering, Shandong University. Supervisor: Prof. Xinghua Wang

• September 2007 - June 2010: Harbin No. 9 High School

Research Interests:

• Network Direction: Graph Mining, Network Embedding, Heterogeneous Network. Focus on theories of optimal low-dimensional vector representation preserving network structure, time, labels, etc., using graph theory, probabilistic models, and machine learning methods, addressing typical problems like node classification and link prediction in complex networks like heterogeneous and dynamic networks.

• Database Direction: Database Fuzzing, Autonomy Optimization, Root Cause Analysis. Research on computational environments for stored procedures and functions, integrated computation of relational and graph models, addressing challenges like operational complexity, data inconsistency, redundancy, and delays in using multiple single-modal databases, eliminating complex data arrangements and conversions for multi-language persistence.

Academic Achievements:

Published over 10 papers in mainstream journals and conferences including ACM MM, ESWA, Inf. Process. Manag.Filed 5 national invention patents.Served as a reviewer for journals and conferences like AAAI, ICDM, Cognitive Computation and Systems.Participated in the national key R&D program for societal security information service and big data application technology, leading a national natural science foundation youth project and a Shaanxi Province youth fund project, and involved in joint fund projects and general projects.Deeply engaged in Xidian University-Inspur Database Innovation Lab's open-source enablement project and security database technology research project.Teaching undergraduate courses including Database Kernel Introduction for the general class, Multi-modal Databases for the top class, a member of the second batch of national first-class course "Multimedia Data Processing", and the contact person for the first batch of virtual teaching and research room "Domestic Database Course Group Virtual Teaching and Research Room".

Graduate Recruitment:

Welcoming diligent undergraduate students to join the lab for early involvement in research and competitions, and actively seeking communication with students looking for graduate supervisors.