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 18 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning.
CoRR, April, 2026

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Continuous-time Discrete-space Diffusion Model for Recommendation.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025
Score-Based Generative Diffusion Models for Social Recommendations.
IEEE Trans. Knowl. Data Eng., November, 2025

Graph Machine Learning in the Era of Large Language Models (LLMs).
ACM Trans. Intell. Syst. Technol., October, 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

Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Towards Retrieval-Augmented Large Language Models: Data Management and System Design.
Proceedings of the 41st IEEE International Conference on Data Engineering, 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
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models.
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


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