宋卫平

主要研究方向

量化投资

教育经历

• 博士，信息科学技术学院，北京大学. 导师：张铭.

个人介绍

宋卫平，北京大学信息科学技术学院博士，目前是九坤投资的量化研究员，探索人工智能、深度学习技术在全球金融市场的应用。

主要论文

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. Weiping Song, Chence Shi, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM). ACM, 2019. 2nd Most Cited Paper in CIKM’19, citations 900+.

Session-based Social Recommendation via Dynamic Graph Attention Networks. Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang. In Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM). ACM, 2019. 5th Most Cited

Paper in WSDM’19, citations 500+

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun. In The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). ACM, 2020.