Counterfactual Reasoning for Retrieval-Augmented Generation

Huaiyu Qin, Chunyu Wei^✉, Yueguo Chen, Yunhai Wang

The International Conference on Learning Representations (ICLR), 2026. (CAAI-A)

Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection

Chunyu Wei, Siyuan He, Yu Wang, Yueguo Chen, Yunhai Wang, Bing Bai, Yidong Zhang, Yong Xie, Shunming Zhang, Fei Wang.

SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. (CCF-A)

Graph-based Diffusion Model for Service Recommendation

Xuan Zhang, Xiang Deng, Hongxing Yuan, Chunyu Wei^✉, Yushun Fan^✉, Jia Zhang.

IEEE Transactions on Services Computing (TSC) (CCF-A)

T-Retriever: Tree-based Hierarchical Retrieval Augmented Generation for Textual Graphs

Chunyu Wei, Huaiyu Qin, Siyuan He, Yunhai Wang, Yueguo Chen.

AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A)

Unicoon: Hypergraph-based Multi-Agent Simulation of Information Cocoons

Chunyu Wei, Yongsiqi Tu, Yunhai Wang.

THE ACM Web Conference (WWW), 2026. (CCF-A)

GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining

Chunyu Wei, Wenji Hu, Xingjia Hao, Xin Wang, Yifan Yang, Yunhai Wang, Yang Tian, Yueguo Chen.

Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF-A)

Conditional Diffusion Anomaly Modeling on Graphs

Chunyu Wei, Haozhe Lin, Yueguo Chen, Yunhai Wang.

Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF-A)

Graph Evidential Learning for Anomaly Detection

Chunyu Wei, Wenji Hu, Xingjia Hao, Yunhai Wang, Yueguo Chen, Bing Bai, Fei Wang.

SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. (CCF-A)

Cross-view Graph Alignment for Mashup Recommendation

Chunyu Wei, Yushun Fan, Zhixuan Jia, Jia Zhang.

IEEE Transactions on Services Computing (TSC) (CCF-A)

GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes

Haozhe Lin *, Chunyu Wei *, Li He *, Yuchen Guo, Yuchy Zhao, Shanglong Li, Lu FANG.

Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A)

Meta Graph Learning for Long-tail Recommendation

Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang.

SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)

Boosting Graph Contrastive Learning via Graph Contrastive Saliency

Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David J. Brady, Lu FANG.

International Conference on Machine Learning (ICML), 2023. (CCF-A)

Dynamic Relation Graph Learning for Time-aware Service Recommendation

Chunyu Wei, Yushun Fan, Jia Zhang, Zhixuan Jia, Ruyu Yan.

IEEE Transactions on Network and Service Management (TSNM).

Contrastive Graph Structure Learning via Information Bottleneck for Recommendation

Spotlight (<5%)

Chunyu Wei, Jian Liang, Di Liu, Fei Wang.

Conference on Neural Information Processing Systems (NeurIPS), 2022. (CCF-A)

GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction

Chunyu Wei, Bing Bai, Kun Bai, Fei Wang.

International World Wide Web Conference (WWW), 2022. (CCF-A)

Dynamic Hypergraph Learning for Collaborative

Chunyu Wei, Jian Liang, Bing Bai, Di Liu.

International Conference on Information and Knowledge Management (CIKM), 2022. (CCF-B)

Time-aware Service Recommendation with Social-powered Graph Hierarchical Attention Network

Chunyu Wei, Yushun Fan, Jia Zhang.

IEEE Transactions on Services Computing (TSC) (CCF-A)

High-order Social Graph Neural Network for Service Recommendation

Chunyu Wei, Yushun Fan, Jia Zhang.

IEEE Transactions on Network and Service Management (TSNM)

A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph

Chunyu Wei, Yushun Fan, Jia Zhang, Haozhe Lin.

IEEE International Conference on Web Services (ICWS), 2020. (CCF-B)