Liangyue Li

Liangyue Li (liangyue@asu.edu) [LinkedIn] (PGP Key)

Ph.D student (Advisor: Prof. Hanghang Tong), CIDSE, Arizona State University

My research interests are in large scale data mining and machine learning, especially for graph data with application to social network analysis. I got my B.Eng from Tongji University in China.

Recent Publications [Full List][Google Scholar] [DBLP]

  • Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He and Bee-Chung Chen. NEMO: Next Career Move Prediction with Contextual Embedding. 26th International World Wide Web Conference (WWW), 2017. (Industry Track)[PDF]

  • Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler. Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016.

  • Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong. QUINT: On Query-Specific Optimal Networks. 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. (Full Presentation)[PDF] [Slides][Code][Youtube]

  • Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin and Norbou Buchler. TEAMOPT: Interactive Team Optimization in Big Networks. 25th ACM International Conference on Information and Knowledge Management (CIKM), 2016. (Demo Track) [PDF][Demo]

  • Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan. iPath: Forecasting the Pathway to Impact. SIAM International Conference on Data Mining (SDM), 2016. [PDF][Slides]

  • Liangyue Li, Hanghang Tong. The Child is Father of the Man: Foresee the Success at the Early Stage. 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015. (Research Track) [PDF][Slides]

  • Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler. Replacing the Irreplaceable: Fast Algorithm for Team Member Recommendation. International World Wide Web Conference (WWW), 2015. (Research Track, Acceptance Rate: 14.1%) [PDF][Slides][Code]

  • Liangyue Li, Hanghang Tong, Yanghua Xiao, Wei Fan. Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs. SIAM International Conference on Data Mining (SDM), 2015. (Oral) [PDF][Slides][Code]

  • Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong. g-Miner: Interactive Visual Group Mining on Multivariate Graphs. ACM Conference on Human Factors in Computing Systems (CHI), 2015. [PDF] [Video]

Projects

Teamwork in Big Networks

Services

Invited Talk

  1. Towards Optimal Teams in Big Networks

    1. Keynote speech at CIKM 2016 Workshop on Big Network Analytics (BigNet 2016)