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 include:

Graph Machine Learning: Graph Neural Networks, Graph Foundation Model
Large Language Models: LLM-based Agents, LLM-based Recommendation
Data Mining Applications: Recommendation Systems, Information Retrieval, Social Network Analysis

I am open to any interesting discussions, so feel free to reach out. You can view my CV here (updated on Oct 2024).

Publications

LLM as GNN: Graph Vocabulary Learning for Graph Foundation Model.
Xi Zhu, Haochen Xue, Ziwei Zhao, Mingyu Jin, Wujiang Xu, Jingyuan Huang, Qifan Wang, Kaixiong Zhou, Yongfeng Zhang.
Recommender Systems in the Era of Large Language Model Agents: A Survey.
Xi Zhu*, Yu Wang*, Hang Gao*, Wujiang Xu*, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Wen, Philips S. Yu, Yongfeng Zhang.
AIOS: LLM Agent Operating System.
Kai Mei, Xi Zhu, Wujiang Xu, Wenyue Hua, Mingyu Jin, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang.
arXiv:2403.16971. [Link]

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]

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. [Link] [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 IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).
Exploring Political Decision Making for Roll Call Vote Prediction: An Attention-Enhanced Approach.
Zikai Yin, Xi Zhu, Jiayue Chen, Che Liu, Ziwei Zhao, Zhi Zheng, Tong Xu, Enhong Chen
In Submission to IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS).

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]

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]

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

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

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

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