Publications

Book Chapters

  1. Sheng Li, Liangyue Li, and Yun Fu, Low-Rank Dictionary Learning, Low-Rank and Sparse Modeling for Visual Analysis, Springer, 2014.

Journal Papers

  1. 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.

  2. Liangyue Li, Sheng Li, Yun Fu. Learning Low-Rank and Discriminative Dictionary for Image Classification. Image and Vision Computing (IVC), 2014. (Invited paper)

  3. Weiai Wayne Xu, Liangyue Li, Michael A. Stefanone, Yun Fu. Does social media users’ commenting behavior differ by their local community tie? A computer–assisted linguistic analysis approach. First Monday, 2014.

Conference Papers

  1. Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao and Norbou Buchler. Is the Whole Greater Than the Sum of Its Parts? 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. (Oral Presentation)

  2. 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)

  3. 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)

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

  5. 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)

  6. 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%)

  7. 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)

  8. 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.

  9. Ming Shao, Liangyue Li, Yun Fu. What Do You Do? Recognize Occupations in a Photo via Social Context. International Conference on Computer Vision (ICCV), 2013.

  10. Ming Shao, Liangyue Li, Yun Fu. Predicting Professions through Probabilistic Model under Social Context. AAAI Late-breaking Track, 2013.

  11. Liangyue Li, Sheng Li, Yun Fu. Discriminative Dictionary Learning with Low-Rank Regularization for Face Recognition. 10th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2013. (Best Student Paper Honorable Mention).

  12. Zhenghong Gu, Ming Shao, Liangyue Li, Yun Fu. Discriminative Metric: Schatten Norm vs. Vector Norm. 21st International Conference on Pattern Recognition (ICPR), 2012.

Demos and Workshop Papers

  1. 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)

  2. Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin and Norbou Buchler. Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. Poster at Science of Team Science (SciTS) Conference 2016.

  3. Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin and Norbou Buchler. Computational Methods to Enhance Team Composition in Networks. Poster at the 2nd International Computational Social Science (IC2S2) Conference, 2016.