Scholar

Shijie Wang

Google Scholar ID: jeJeXVYAAAAJ

PhD Candidate, The Hong Kong Polytechnic University

Graph Neural NetworksRecommender SystemsLarge Language ModelsTrustworthy AI

Citations & Impact

All-time

Citations

943

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2026

Cited

Resume (English only)

Academic Achievements

Multiple papers accepted by top conferences and journals such as WSDM 2026, IEEE Transactions on Knowledge and Data Engineering (TKDE), ACL main 2025, IJCAI 2025, Transactions on Intelligent Systems and Technology (TIST), Transactions on Information Systems (TOIS), KDD 2024, and WWW PhD Symposium 2024. Specific papers include:
- “Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs”
- “Continuous-time Discrete-space Diffusion Model for Recommendation”
- “Score-based Generative Diffusion Models for Social Recommendations”
- “Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation”
- “Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model”
- “Graph Machine Learning in the Era of Large Language Models (LLMs)”
- “Multi-agent Attacks for Black-box Social Recommendations”
- “A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models”
- “CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent”
- “Graph Unlearning with Efficient Partial Retraining”
Additionally, contributed to several tutorials and survey papers.

Research Experience

Serving as a Ph.D. Candidate in the Department of Computing at The Hong Kong Polytechnic University, involved in multiple research projects focusing on recommender systems and graph machine learning.

Education

Obtained BSc degree in Information and Computing Science from Xi’an Jiaotong-Liverpool University in China and the University of Liverpool in the UK in July 2022.

Background

Research interests include Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Graph Neural Networks (GNNs) as well as their applications in recommender systems. Currently a fourth-year Ph.D. Candidate in the Department of Computing at The Hong Kong Polytechnic University, advised by Dr. Fan Wenqi and Prof. Li Qing.

Miscellany