澳门十大正规老牌网赌-澳门十大信誉网赌大全

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韦淳于

韦淳于，博士，澳门十大正规老牌网赌澳门十大信誉网赌大全讲师，澳门十大正规老牌网赌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。研究方向为图机器学习与社会计算，在面向复杂系统的图结构优化上，致力于通过对图的拓扑结构进行增强与校正，以提升图上的表示学习性能，从而更好地对复杂系统进行高效治理。具体包括，面向复杂系统的多模态图数据的建模、预测、仿真、计算

电子邮箱: weichunyu@ruc.edu.cn

个人主页: weicy15.github.io

教育经历

2019年 - 2024年，清华大学，自动化系，工学博士 2015年 - 2019年，清华大学，自动化系，工学学士

工作经历

2024年 - 今，澳门十大正规老牌网赌，澳门十大信誉网赌大全，讲师

研究方向

图机器学习、社会计算、服务计算、推荐系统等

讲授课程

《数据科学导论》
《数据思维》
《学术调研方法与工具》

科研项目

国家重点研发计划项目“服务互联网体系结构与价值链协同理论”（参与）

国家自然科学基金面上项目"隐私数据敏感场景中的高质量服务组合与推荐方法"（参与）

科研成果

代表性论文：

[1] Wei, Chunyu; Fan, Yushun; Jia, Zhixuan; Zhang, Jia. Cross-view Graph Alignment for Mashup Recommendation. IEEE Transactions on Services Computing (TSC) 2024

[2] Lin, Haozhe*; Wei, Chunyu*; He, Li*; Guo, Yuchen; Zhao, Yunqi; Li, Shanglong; Fang, Lu. GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[3] Wei, Chunyu; Fan, Yushun; Zhang, Jia; Jia, Zhixuan; Yan, Ruyu. Dynamic Relation Graph Learning for Time-aware Service Recommendation. IEEE Transactions on Network and Service Management (TNSM) 2023

[4] Wei, Chunyu; Wang, Yu; Bai, Bing; Ni, Kai; Brady, David; Fang, Lu. Boosting graph contrastive learning via graph contrastive saliency. International conference on machine learning (ICML) 2023

[5] Wei, Chunyu; Liang, Jian; Liu, Di; Dai, Zehui; Li, Mang; Wang, Fei. Meta graph learning for long-tail recommendation. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023

[6] Wei, Chunyu; Liang, Jian; Liu, Di; Wang, Fei. Contrastive graph structure learning via information bottleneck for recommendation. Advances in Neural Information Processing Systems (NeurIPS) 2022

[7] Wei, Chunyu; Fan, Yushun; Zhang, Jia. Time-aware service recommendation with social-powered graph hierarchical attention network. IEEE Transactions on Services Computing (TSC) 2022

[8] Wei, Chunyu; Liang, Jian; Bai, Bing; Liu, Di. Dynamic hypergraph learning for collaborative filtering. Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM) 2022

[9] Wei, Chunyu; Fan, Yushun; Zhang, Jia. High-order social graph neural network for service recommendation. IEEE Transactions on Network and Service Management (TNSM) 2022

[10] Wei, Chunyu; Bai, Bing; Bai, Kun; Wang, Fei. Gsl4rec: Session-based recommendations with collective graph structure learning and next interaction prediction. Proceedings of the ACM Web Conference (WWW) 2022

[11] Wei, Chunyu; Fan, Yushun; Zhang, Jia; Lin, Haozhe. A-HSG: Neural attentive service recommendation based on high-order social graph. 2020 IEEE International Conference on Web Services (ICWS) 2020

社会兼职

期刊T-PAMI, TNNLS，TOIS审稿人

荣誉获奖