韦淳于,博士,硕士生导师。中国人民大学信息学院讲师,中国人民大学国家治理大数据和人工智能创新平台研究员。
2019年于清华大学自动化系获学士学位,2024年于清华大学自动化系获博士学位。在博士期间,以第一作者发表高水平论文十三篇,研究成果在腾讯、阿里和快手等公司落地。
🔬 研究领域:关系智能 (Relational Intelligence)
关系智能是理解和建模复杂系统中多层次关系结构的科学范式,涵盖以下四个层次:
📂 研究项目
1. 知识增强的语言模型
- 上下文知识:检索增强(RAG)
- 参数知识:知识编辑(Knowledge Editing)
- 个性化:模型个性化(Personalization)
2. 拓扑感知的数据模型
- 建模:图数据合成(Data Generation)
- 预测:图表征学习(Representation Learning)
- 仿真:多智能体交互(Multi-agent Collaboration)
- 计算:图基础模型(Foundation Model)
📢 加入我们
我们鼓励自由探索,致力于做有影响力的研究——既追求顶会顶刊的学术发表,也关注技术在真实产业中的价值闭环。
- 算力资源:实验室配备 30 张以上 A800 GPU,可稳定支撑大模型相关的科研任务
- 产业合作:与腾讯、阿里、蚂蚁、快手等企业的核心算法部门保持长期合作,研究课题贴近真实业务需求
- 集群支持:可使用合作企业的大规模计算集群,支持大参数模型从预训练到后训练的全流程研究
- 科研指导:提供从选题、实验到论文写作的系统性指导,支持学生逐步成长为独立研究者
🎓 欢迎有意科研实习、攻读硕士、攻读博士(与陈跃国教授合作指导)的同学联系!
🔥 News
- 2026.04: 获批腾讯犀牛鸟专项研究计划项目
- 2025.11: 获批SMP-清智大模型基金
- 2025.11: 获批CAAI-蚂蚁科研基金(AGI专项)
- 2025.09: 获北京市“数据要素X”大赛数据先锋奖
- 2025.08: 获批国家自然科学基金青年科学基金项目(C类)
- 2024.08: 正式加入中国人民大学信息学院,担任讲师
- 2024.06: 取得清华大学工学博士学位🎉
📝 Publications (Selected)

Don’t Click That: Teaching Web Agents to Resist Deceptive Interfaces
Yilin Zhang, Yingkai Hua, Chunyu Wei✉, Xin Wang, Yueguo Chen.
Annual Meeting of the Association for Computational Linguistics (ACL), Main,2026. (CCF-A)

Counterfactual Reasoning for Retrieval-Augmented Generation
Huaiyu Qin, Chunyu Wei✉, Yueguo Chen, Yunhai Wang
The International Conference on Learning Representations (ICLR), 2026. (CCF-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)

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)
📖 Educations
🏆 Grants
- 国家重点研发计划项目子课题,《面向就业结构预测的数据合成》,主持,2026年
- 腾讯犀牛鸟专项研究计划项目,《基于扩散模型的智能代码生成与补全技术研究》,主持,2026年
- 国家自然科学基金青年科学基金项目(C类),《面向人岗精准匹配的动态时空感知图学习方法研究》,主持,2025年
- CAAI-蚂蚁科研基金(AGI专项),《面向Web的推理时交互的多模态UI智能体关键技术研究》,主持,2025年
- SMP-清智大模型基金,《基于图结构约束的多智能体社会知识智能构建与涌现机制研究》,主持,2025年
💻 Internships
🏅 Services
- Reviewer of T-PAMI, TOIS, TNNLS
- PC Member of WWW 2025