连德富

E-Mail：liandefu@ustc.edu.cn

个人主页：http://staff.ustc.edu.cn/~liandefu 


主要研究方向：数据挖掘与知识发现、推荐系统、机器学习方法及其应用


连德富，男，1985年11月生，博士，特任研究员。2014年获得中国科学技术大学计算机应用技术专业博士学位，中科大-微软联合培养。主要研究方向是时空数据、教育数据等的数据挖掘、显隐性数据的推荐系统、哈希学习等方面的研究。在重要国际学术会议和期刊发表论文40余篇，曾获得APWeb 2016最佳学生论文奖、中科院院长优秀奖等奖项。目前主持和参与多项自然科学基金面上项目和重点项目。IJCAI 2015, KDD 2018等20余个国际会议的程序委员会委员以及国际期刊IEEE TKDE, ACM TOIS, DMKD等审稿人。


获奖情况：

  1. 2018年四川省高等教育教学成果奖二等奖（排名第5）

  2. 2016年APWeb 2016最佳学生论文奖

  3. 2014年中科院院长优秀奖

  4. 2009年安徽省三好学生


十篇代表性论著：

  1. Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang and Xing Xie. High-order Proximity Preserving Information Network Hashing. KDD 2018, pp. 1744-1753.

  2. Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie. GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM TOIS, 36(3), 2018.

  3. Defu Lian, Yong Ge, Fuzheng Zheng, Nicholas Jing Yuan, Xing Xie, Tao Zhou and Yong Rui. Scalable Content-Aware Collaborative Filtering for Location Recommendation, IEEE TKDE, 30(6), 2018.

  4. Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao. Discrete Content-aware Matrix Factorization. KDD 2017, pp. 325-334.

  5. Defu Lian, Yong Ge, Nicholas Yuan, Xing Xie, Hui Xiong, Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback, IJCAI 2016, pp. 1732-1738.

  6. Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang and Enhong Chen. CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction. ACM TIST, 6(1).

  7. Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen and Yong Rui. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. KDD 2014, pp. 831-840.

  8. Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation, ICDM 2016, pp. 1029-1034.

  9. Defu Lian and Qi Liu. Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective. Journal of Computer Science and Technology, 33(4), 2018.

  10. Defu Lian and Xing Xie. Mining check-in history for personalized location naming. ACM TIST, 5(2), 2014.