Yuanchen Bei
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. | Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong |
| 2026 | ACL | PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs. | Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He |
| 2026 | WWW | AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Xixian Wang, Zhibo Xiao, Dimin Wang, Jialin Zhu, Yuning Jiang, Feiran Huang, Hao Chen |
| 2025 | CIKM | Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction. | Zhonghao Wang, Yuanchen Bei, Sheng Zhou, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu |
| 2025 | EMNLP | A Survey of RAG-Reasoning Systems in Large Language Models. | Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu |
| 2025 | KDD | Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. | Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou, Carl Ji Yang, Jiapei Fan, Longtao Huang, Jiajun Bu |
| 2025 | KDD | AliBoost: Ecological Boosting Framework in Alibaba Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen |
| 2025 | WSDM | Large Language Model Simulator for Cold-Start Recommendation. | Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu |
| 2024 | ADC | Graph Neural Patching for Cold-Start Recommendations. | Hao Chen, Yu Yang, Yuanchen Bei, Zefan Wang, Yue Xu, Feiran Huang |
| 2024 | CIKM | Feedback Reciprocal Graph Collaborative Filtering. | Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang |
| 2024 | ICDE | CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. | Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu |
| 2024 | KDD | Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. | Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang |
| 2024 | WWW | Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. | Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang |
| 2023 | CIKM | Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. | Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang |
| 2023 | ICDM | Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. | Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu |
| 2023 | ICDM | Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering. | Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang |