Luzhi Wang

According to our database, Luzhi Wang authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

Hi-GMAE: Hierarchical Graph Masked Autoencoders.

Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu

Proceedings of the ACM Web Conference 2026, 2026

Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs.

Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang, Hongxiang Liang

Proceedings of the ACM Web Conference 2026, 2026

A Graph Foundation Model for Unified Anomaly Detection.

Renda Han, Xiaobao Wang, Luzhi Wang, Wenxin Zhang, Guangzhen Yao, Hongxiang Liang

Proceedings of the ACM Web Conference 2026, 2026

From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection.

Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification.

Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin

CoRR, September, 2025

2024

Contrastive Graph Similarity Networks.

Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan

ACM Trans. Web, May, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A survey on fairness-aware recommender systems.

Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan

Inf. Fusion, December, 2023

On solving simplified diversified top-k s-plex problem.

Jun Wu, Chu-Min Li, Luzhi Wang, Shuli Hu, Peng Zhao, Minghao Yin

Comput. Oper. Res., May, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

Proceedings of the ACM Web Conference 2023, 2023

2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2019

An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs.

Luzhi Wang, Chu-Min Li, Junping Zhou, Bo Jin, Minghao Yin

CoRR, 2019