Wang, Wenjun

13 publications

IJCAI 2025 Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection Nannan Wu, Hongdou Dong, Wenjun Wang, Yiming Zhao

AAAI 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs Nannan Wu, Yazheng Zhao, Hongdou Dong, Keao Xi, Wei Yu, Wenjun Wang

ICML 2025 GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning Nannan Wu, Yuming Huang, Yiming Zhao, Jie Chen, Wenjun Wang

ICML 2025 Information Bottleneck-Guided MLPs for Robust Spatial-Temporal Forecasting Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan

ICCV 2025 Learning Visual Proxy for Compositional Zero-Shot Learning Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang

IJCAI 2025 Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao

AAAI 2025 SECodec: Structural Entropy-Based Compressive Speech Representation Codec for Speech Language Models Linqin Wang, Yaping Liu, Zhengtao Yu, Shengxiang Gao, Cunli Mao, Yuxin Huang, Wenjun Wang, Ling Dong

IJCAI 2024 Anomaly Subgraph Detection Through High-Order Sampling Contrastive Learning Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao

IJCAI 2024 Graph Collaborative Expert Finding with Contrastive Learning Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao

ICCV 2023 Feature Prediction Diffusion Model for Video Anomaly Detection Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang

AAAI 2022 Self-Supervised Object Localization with Joint Graph Partition Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu

IJCAI 2021 Learning Stochastic Equivalence Based on Discrete Ricci Curvature Xuan Guo, Qiang Tian, Wang Zhang, Wenjun Wang, Pengfei Jiao

AAAI 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li, Jinpeng Huai