Shijie Wang

Orcid: 0000-0002-7389-3810

Affiliations:
  • Hong Kong Polytechnic University, Department of Computing, China


According to our database1, Shijie Wang authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs.
CoRR, March, 2025

Multi-Agent Attacks for Black-Box Social Recommendations.
ACM Trans. Inf. Syst., January, 2025

Computational Protein Science in the Era of Large Language Models (LLMs).
CoRR, January, 2025

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.
CoRR, January, 2025

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Score-based Generative Diffusion Models for Social Recommendations.
CoRR, 2024

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models.
CoRR, 2024

Graph Machine Learning in the Era of Large Language Models (LLMs).
CoRR, 2024

Graph Unlearning with Efficient Partial Retraining.
CoRR, 2024

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Untargeted Black-box Attacks for Social Recommendations.
CoRR, 2023

A Novel Multi-Agent Deep RL Approach for Traffic Signal Control.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023


  Loading...