Shengjie Wang

According to our database, Shengjie Wang authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation.

Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2023

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.

Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation.

Zhen Gong, Xin Wu, Lei Chen, Zhenzhe Zheng, Shengjie Wang, Anran Xu, Chong Wang, Fan Wu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

PSLF: Defending Against Label Leakage in Split Learning.

Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023