I am Zilong Bai

I am a Computer Science PhD Candidate at UC Davis. My advisor is Professor Ian Davidson. Please refer to my full CV and LinkedIn page for more details about me and my work.

Our work speaks for itself. I hope you enjoy reading the amazing papers we have published!

Just couldn't get time to decorate this page with my personal life ( which has been fantastic ), so it will be completely focused on papers :-)

Zilong Bai, S. S. Ravi, and Ian Davidson. 2020. Towards Description of Block Model on Graph. Has been accepted for presentation in the Research Track of ECML-PKDD 2020 and for publication in the conference proceedings.

Zilong Bai, Hoa Nguyen, and Ian Davidson. 2020. Block Model Guided Unsupervised Feature Selection. Has been accepted to KDD 2020 as a full paper and for publication in KDD ’20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Proceedings.

Zilong Bai, Buyue Qian, and Ian Davidson. 2018. Discovering Models from Structural and Behavioral Brain Imaging Data. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1128-1137).ACM. [Paper][DOI]

Zilong Bai, Peter Walker, and Ian Davidson. 2018, May. Mixtures of Block Models for Brain Networks. In Proceedings of the 2018 SIAM International Conference on Data Mining (pp. 46-54). SIAM. [Paper][BIB][CODE][DOI]

Zilong Bai, Peter Walker, Anna Tschiffely, Fei Wang, and Ian Davidson, 2017, August. Unsupervised Network Discovery for Brain Imaging Data. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 55-64). ACM.[Paper][BIB][CODE][DOI]

Bai, Z., Li, S., Wu, Y., Zhou, W. and Zhu, Z., 2013, June. Experimental demonstration of SVC video streaming using QoS-aware multi-path routing over integrated services routers. In Communications (ICC), 2013 IEEE International Conference on (pp. 3683-3687). IEEE.[DOI]