CV

Pengjia Cui

Contact Information

Education

Communication University of China (CUC)

Sept. 2020 - Jul. 2024
School of Information and Communication Engineering, Beijing, China

  • Major: Bachelor of Engineering in Artificial Intelligence
  • Awards: Merit Graduate of Beijing, Merit Graduate of CUC, Scholarship of School of Information and Communication Engineering, Scholarship for Excellent Student Leader
  • Area of Interests: Recommender Systems, Social Networks, Computational Communication and Propagation Dynamics, Information Retrieval and Data Mining

University of California San Diego

Jul. 2024 - Jun. 2025 (Expected)
School of Social Sciences, La Jolla, CA

  • Major: Master of Science in Computational Social Science
  • Area of Interests: Network Science, Computational Communication and Propagation Dynamics
  • Courses: Computational Social Science Technical Bootcamp, Statistical Computing and Inference from Data, Social Networks, Research in Computational Social Science, etc.
  • Student Memberships: IEEE System, Man and Cybernetics Society, IEEE Computer Science Society, ACM&CCF, CAAI Technical Committee for Intelligent Media

Research & Projects

Predictive Analysis of Tax Policy Approval (Ongoing)

Sept. 2024 - Jun. 2025 (Expected)
Affiliation: University of California San Diego, La Jolla, CA
Instructor: Prof. Isaac William Martin

  • Collaborating on a supervised machine learning project analyzing text features of local tax policy proposals to predict voter support in California referenda.
  • Integrating NLP and regression techniques to process large datasets, including policy text, voting outcomes, and public economic and demographic data.
  • Addressing challenges in data cleaning, multi-source data integration, and geographic mapping across jurisdictions.

AIops Based on Dynamic Failure Dependency Graph

Jun. 2023 - Sept. 2023
Affiliation: State Key Laboratory of Media Convergence and Communication, Beijing, China
Instructor: Prof. Tao Lin

  • Enhanced baseline methods within the AIops context.
  • Demonstrated adaptability in acquiring and applying novel artificial intelligence approaches in diverse research environments.

Graph and Knowledge-based Recommender System

May 2021 - May 2022
Affiliation: Multimedia Computing Lab, School of Computer and Cyber Sciences, CUC, Beijing, China
Instructors: Prof. Zhulin Tao, Prof. Lifang Yang

  • Studied recommendation system models, including SVD++, BPR, MF, SocialMF, NCF, CKE, RippleNet, and KGAT.
  • Proficient in data analysis using tools such as Neo4j, Gephi, Pajek, and Networkx.

Publications

  • Cui, P., Yin, B. & Xu, B. The application of social recommendation algorithm integrating attention model in movie recommendation. Sci Rep 13, 16938 (2023). (SCIE, JCR Q1, IF=4.6)
  • Cui, P., “A POI Recommender System Based on Multi-Source Information Fusion” (2023).

Relevant Research Skills

  • Performing bibliometric analysis to evaluate and visualize trends, impacts, and networks within scientific literature.
  • Designing and conducting social science experiments, from experimental design to data analysis.
  • Computationally-driven social science research using advanced computational tools.
  • Applying advanced methodologies for meta-analysis.
  • Preparing comprehensive research reports to effectively communicate results.
  • Visualization: Gephi, Pajek, VOSviewer, CiteSpace, UCINET
  • Algorithm: Fruchterman-Reingold, PageRank, MPNN, Barabási-Albert Model, Watts-Strogatz Model
  • Packages: Networkx, igraph, PyG

Internship Experience

Institute of Physics, CAS/Beijing National Laboratory for Condensed Matter Physics

Oct. 2023 - Jan. 2024

  • Drafted and revised key directions and the 2035 strategic layout for the State Key Laboratory system.
  • Conducted the initial review of “Western Light” major projects.
  • Completed reports on research trends, data management, and literature analysis related to topological materials databases.

Sangfor Technologies

May 2022 - Sept. 2022

  • Researched graph attention networks and assessed their potential applications.
  • Enhanced the R&D team’s efficiency by authoring and presenting technical documentation.

WINICSSEC

Jun. 2021 - Sept. 2021

  • Investigated user needs and demonstrated the company’s industrial control security solutions.
  • Provided solutions during bidding processes and contributed to market research.

Additional Skills

  • Paperwork: Microsoft 365, Markdown, Quarto, Zotero, Xmind, MikTeX
  • Design: Adobe Illustrator, Adobe Photoshop, Visio
  • Programming: Python, R, C++, Git, Hugo, Bash, PyTorch, Keras, Docker, Neo4j, GraphDB, JSON, etc.