Shijie Wang

According to our database, Shijie Wang authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Score-Based Generative Diffusion Models for Social Recommendations.

Chengyi Liu, Jiahao Zhang, Shijie Wang, Wenqi Fan, Qing Li

IEEE Trans. Knowl. Data Eng., November, 2025

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

Jiani Huang, Shijie Wang, Liang-Bo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li

CoRR, March, 2025

Multi-Agent Attacks for Black-Box Social Recommendations.

Shijie Wang, Wenqi Fan, Xiao-Yong Wei, Xiaowei Mei, Shanru Lin, Qing Li

ACM Trans. Inf. Syst., January, 2025

Computational Protein Science in the Era of Large Language Models (LLMs).

Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu, Qian Zhao, Le Song, Qing Li

CoRR, January, 2025

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.

Shijie Wang, Wenqi Fan, Yue Feng, Xinyu Ma, Shuaiqiang Wang, Dawei Yin

CoRR, January, 2025

Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model.

Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang, Zhiwen Yu, Qing Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Towards Retrieval-Augmented Large Language Models: Data Management and System Design.

Wenqi Fan, Pangjing Wu, Yujuan Ding, Liang-Bo Ning, Shijie Wang, Qing Li

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.

Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin

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.

Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li

CoRR, 2024

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

Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li

CoRR, 2024

Graph Unlearning with Efficient Partial Retraining.

Jiahao Zhang, Lin Wang, Shijie Wang, Wenqi Fan

CoRR, 2024

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.

Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang

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.

Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Untargeted Black-box Attacks for Social Recommendations.

Wenqi Fan, Shijie Wang, Xiaoyong Wei, Xiaowei Mei, Qing Li

CoRR, 2023

A Novel Multi-Agent Deep RL Approach for Traffic Signal Control.

Shijie Wang, Shangbo Wang

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.

Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023