Bio

I am Xi Zhu, a first-year Ph.D. student in Computer Science at Rutgers University, working with Prof. Yongfeng Zhang. My research interests lie in machine learning and data mining, with an emphasis on graph neural networks, recommendation systems, and large language models (LLMs). Currently, I am especially interested in LLM for graphs, LLM-based agents, and LLM-enhanced recommendation.

I am open to any interesting discussions, feel free to drop me a message. Please check out my CV here.

Education

• Ph.D. Student, 2024 - present, Rutgers University, New Brunswick, NJ, USA.
  Major: Computer Science       
  Advisor: Prof. Yongfeng Zhang

• M.E. Student, 2020 - 2023, University of Science and Technology of China (USTC), Hefei, China.
  Major: Computer Science (Data Science)
  Advisors: Prof. En-Hong Chen (IEEE Fellow) and Prof. Tong Xu
  Affiliation: Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA), State Key Laboratory of Cognitive Intelligence

• B.E. Student, 2016 - 2020, Sichuan University (SCU), Chengdu, China.
  Major: Computer Science

Publications

Preprint

• Knowledge Graph Pruning for Recommendation.
  Fake Lin, Xi Zhu, Ziwei Zhao, Deqiang Huang, Yu Yu, Xueying Li, Tong Xu, Enhong Chen.
  arXiv:2405.11531. [Link]

• DynLLM: When Large Language Models meet Dynamic Graph Recommendation.
  Ziwei Zhao, Fake Lin, Xi Zhu, Zhi Zheng, Tong Xu, Shitian Shen, Xueying Li, Zikai Yin, Enhong Chen.
  arXiv:2405.07580.[Link]

2024

• Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs.
  Xi Zhu, Fake Lin, Ziwei Zhao, Tong Xu, Xiangyu Zhao, Zikai Yin, Xueying Li, Enhong Chen.
  In ACM Transactions on Information Systems (ACM TOIS), 2024, Accepted.[Code]

• Adversarial Attack and Defense on Discrete Time Dynamic Graphs.
  Ziwei Zhao, Yu Yang, Zikai Yin, Tong Xu, Xi Zhu, Fake Lin, Xueying Li, Enhong Chen.
  In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, Accepted. [Link]

• When Box Meets Graph Convolutional Network in Tag-aware Recommendation.
  Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen.
  In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024),2024, Accepted. [Link] [Code]

• MENDNet: Memory-Enhanced Dependency Network for Multi-Stock Movement Prediction.
  Che Liu, Pengfei Luo, Xi Zhu, Tong Xu, Enhong Chen
  In Submission to ACM Transactions on Knowledge Discovery from Data (ACM TKDD).

2023

• Few-shot Link Prediction for Event-based Social Networks via Meta-learning.
  Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Enhong Chen.
  In Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), 2023, Accepted. [Link] [Code] [Competition]

• Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs.
  Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen.
  In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023, Accepted. [Link] [Code]

• H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation.
  Zhizhuo Yin, Kai Han, Pengzi Wang, Xi Zhu.
  In ACM Transactions on Information Systems (ACM TOIS), 2023, Accepted. [Link]

2022

• Semantic Interaction Matching Network for Few-shot Knowledge Graph Completion.
  Pengfei Luo, Xi Zhu, Tong Xu, Yi Zheng, Enhong Chen.
  In ACM Transactions on the Web (ACM TWEB), 2022, Accepted. [Link] [Code]

Honors and Awards

• National Scholarship, Dec 2019
• Outstanding Undergraduate, Jun 2020
• Meritorious Winner of Mathematical Contest in Modeling (MCM), COMAP, Apr 2019
• First-class Freshman Academic Scholarship of USTC, 2020
• First-class Comprehensive Scholarship of SCU, 2019
• Second-class Comprehensive Scholarship of SCU (two times), 2017, 2018
• Third Prize, National Undergraduate Mathematics Competition of China, Dec 2017

Internship Experiences

• Research Intern, Alibaba Group, Hangzhou, China, Dec 2021 - Nov 2023
  Funded by Alibaba Innovative Research (AIR) Program.
  Projects: Graph-based Recommendation Systems

Teaching Experiences

• Teaching Assistant, CS439: Introduction to Data Science, Rutgers University, 2024 Fall

• Teaching Assistant, 11179.01: Web Information Processing and Application, University of Science and Technology of China, 2021 Fall