Flattened Graph Convolutional Networks For Recommendation. - Yue Xu; Hao Chen 062; Zengde Deng; Yuanchen Bei; Feiran Huang (CoRR, 2022)

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. - Yuanchen Bei; Hao Chen 062; Shengyuan Chen; Xiao Huang 001; Sheng Zhou 004; Feiran Huang (CIKM, 2023)

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. - Yuanchen Bei; Sheng Zhou 004; Qiaoyu Tan; Hao Xu; Hao Chen 062; Zhao Li 007; Jiajun Bu (ICDM, 2023)

Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering. - Yijie Zhang; Yuanchen Bei; Shiqi Yang; Hao Chen 062; Zhiqing Li; Lijia Chen; Feiran Huang (ICDM (Workshops), 2023)

Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. - Huixuan Chi; Hao Xu; Mengya Liu; Yuanchen Bei; Sheng Zhou 004; Danyang Liu; Mengdi Zhang 002 (CoRR, 2023)

Graph Neural Patching for Cold-Start Recommendations. - Hao Chen 062; Yu Yang; Yuanchen Bei; Zefan Wang; Yue Xu; Feiran Huang (ADC, 2024)

Feedback Reciprocal Graph Collaborative Filtering. - Weijun Chen 003; Yuanchen Bei; Qijie Shen; Hao Chen 062; Xiao Huang 001; Feiran Huang (CIKM, 2024)

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. - Yuanchen Bei; Hao Xu; Sheng Zhou 004; Huixuan Chi; Haishuai Wang; Mengdi Zhang 002; Zhao Li 007; Jiajun Bu (ICDE, 2024)

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. - Yijie Zhang; Yuanchen Bei; Hao Chen 062; Qijie Shen; Zheng Yuan; Huan Gong; Senzhang Wang; Feiran Huang; Xiao Huang 001 (KDD, 2024)

Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination. - Ruochen Liu 001; Hao Chen; Yuanchen Bei; Qijie Shen; Fangwei Zhong; Senzhang Wang; Jianxin Wang (NeurIPS, 2024)

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. - Hao Chen 062; Yuanchen Bei; Qijie Shen; Yue Xu; Sheng Zhou 004; Wenbing Huang 001; Feiran Huang; Senzhang Wang; Xiao Huang 001 (WWW, 2024)

Large Language Model Interaction Simulator for Cold-Start Item Recommendation. - Feiran Huang; Zhenghang Yang; Junyi Jiang; Yuanchen Bei; Yijie Zhang; Hao Chen 062 (CoRR, 2024)

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. - Yuanchen Bei; Sheng Zhou 004; Jinke Shi; Yao Ma 001; Haishuai Wang; Jiajun Bu (CoRR, 2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks. - Zhuonan Zheng; Yuanchen Bei; Sheng Zhou 004; Yao Ma 001; Ming Gu 014; Hongjia Xu; Chengyu Lai; Jiawei Chen 007; Jiajun Bu (CoRR, 2024)

Better Late Than Never: Formulating and Benchmarking Recommendation Editing. - Chengyu Lai; Sheng Zhou 004; Zhimeng Jiang; Qiaoyu Tan; Yuanchen Bei; Jiawei Chen 007; Ningyu Zhang 001; Jiajun Bu (CoRR, 2024)

CLR-Bench: Evaluating Large Language Models in College-level Reasoning. - Junnan Dong; Zijin Hong; Yuanchen Bei; Feiran Huang; Xinrun Wang; Xiao Huang 001 (CoRR, 2024)

Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. - Yuanchen Bei; Weizhi Chen; Hao Chen 062; Sheng Zhou 004; Carl Ji Yang; Jiapei Fan; Longtao Huang; Jiajun Bu (KDD (1), 2025)

Large Language Model Simulator for Cold-Start Recommendation. - Feiran Huang; Yuanchen Bei; Zhenghang Yang; Junyi Jiang; Hao Chen 062; Qijie Shen; Senzhang Wang; Fakhri Karray; Philip S. Yu (WSDM, 2025)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. - Weizhi Zhang 001; Yuanchen Bei; Liangwei Yang; Henry Peng Zou; Peilin Zhou; Aiwei Liu; Yinghui Li; Hao Chen 062; Jianling Wang; Yu Wang 158; Feiran Huang; Sheng Zhou 004; et al. (CoRR, 2025)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models. - Qinggang Zhang; Shengyuan Chen; Yuanchen Bei; Zheng Yuan; Huachi Zhou; Zijin Hong; Junnan Dong; Hao Chen 062; Yi Chang; Xiao Huang 001 (CoRR, 2025)

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation. - Ruochen Liu 001; Hao Chen 062; Yuanchen Bei; Zheyu Zhou; Lijia Chen; Qijie Shen; Feiran Huang; Fakhri Karray; Senzhang Wang (CoRR, 2025)

Graph Cross-Correlated Network for Recommendation. - Hao Chen 062; Yuanchen Bei; Wenbing Huang 001; Shengyuan Chen; Feiran Huang; Xiao Huang 001 (IEEE Trans. Knowl. Data Eng., 2025)

AliBoost: Ecological Boosting Framework in Alibaba Platform. - Qijie Shen; Yuanchen Bei; Zihong Huang; Jialin Zhu; Keqin Xu; Boya Du; Jiawei Tang; Yuning Jiang 001; Feiran Huang; Xiao Huang 001; Hao Chen 062 (CoRR, 2025)

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation. - Hongyu Yao; Zijin Hong; Hao Chen 062; Yuanchen Bei; Zhiqing Li; Qijie Shen; Zuobin Ying; Huan Gong; Feiran Huang (CoRR, 2025)

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. - Yuanchen Bei; Weizhi Zhang 001; Siwen Wang; Weizhi Chen; Sheng Zhou 004; Hao Chen 062; Yong Li 004; Jiajun Bu; Shirui Pan; Yizhou Yu; Irwin King; Fakhri Karray; et al. (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. - Yangning Li; Weizhi Zhang; Yuyao Yang; Wei-Chieh Huang; Yaozu Wu; Junyu Luo 002; Yuanchen Bei; Henry Peng Zou; Xiao Luo 001; Yusheng Zhao; Chunkit Chan; Yankai Chen 005; et al. (CoRR, 2025)