Luzhi Wang

17 papers A* 7Journal 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
A Graph Foundation Model for Unified Anomaly Detection.
WWW
Renda Han, Xiaobao Wang, Luzhi Wang, Wenxin Zhang, Guangzhen Yao, Hongxiang Liang
2026 A* conf
Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs.
WWW
Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang, Hongxiang Liang
2026 A* conf
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection.
AAAI
Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu
2026 J jnl
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection.
CoRR
Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu
2026 A* conf
Hi-GMAE: Hierarchical Graph Masked Autoencoders.
WWW
Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu
2025 J jnl
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification.
CoRR
Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin
2024 J jnl
Contrastive Graph Similarity Networks.
ACM Trans. Web
Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan
2024 A* conf
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.
AAAI
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024 J jnl
GOODAT: Towards Test-time Graph Out-of-Distribution Detection.
CoRR
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2023 J jnl
A Survey on Fairness-aware Recommender Systems.
CoRR
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
2023 J jnl
A survey on fairness-aware recommender systems.
Inf. Fusion
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
2023 A* conf
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
WWW
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023 J jnl
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
CoRR
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023 J jnl
On solving simplified diversified top-k s-plex problem.
Comput. Oper. Res.
Jun Wu, Chu-Min Li, Luzhi Wang, Shuli Hu, Peng Zhao, Minghao Yin
2022 A* conf
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
IJCAI
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022 J jnl
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
CoRR
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2019 J jnl
An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs.
CoRR
Luzhi Wang, Chu-Min Li, Junping Zhou, Bo Jin, Minghao Yin