刘强，副研究员。2013年获燕山大学电子信息科学与技术理学学士学位，2018年获中国科学院自动化研究所模式识别与智能系统工学博士学位，2018-2020年在清华大学计算机系任博士后研究员。主要从事机器学习、数据挖掘领域的研究，特别是知识挖掘、模型可解释、推荐系统、文本挖掘等方向。现已在相关领域会议和期刊发表学术论文二十余篇，Google Scholar引用3000余次，先后获得微软学者奖、中科院院长奖、KDD初创研究奖等荣誉。

数据挖掘、推荐系统、文本挖掘

1. Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, and Liang Wang. " RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring." In IEEE Transactions on Knowledge and Data Engineering, 2022.
2. Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, and Jun Zhu. " Mining Cross Features for Financial Credit Risk Assessment." In Proceedings of ACM International Conference on Information and Knowledge Management, 2021.
3. Qiang Liu, Shu Wu, and Liang Wang. "Multi-behavioral sequential prediction with recurrent log-bilinear model." In IEEE Transactions on Knowledge and Data Engineering, 2017.
4. Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, and Liang Wang. "Context-aware sequential recommendation." In Proceedings of IEEE International Conference on Data Mining, 2016.
5. Qiang Liu, Shu Wu, Liang Wang, and Tieniu Tan. "Predicting the next location: A recurrent model with spatial and temporal contexts." In Proceedings of AAAI Conference on Artificial Intelligence, 2016.