About

I’m currently a second-year Ph.D. student in Computer Science at Florida State University. My advisor is Prof. Jiawei Zhang. Prior that, I graduated from Sun Yat-sen University (Zhongshan University) in 2018. I worked with Prof. Zibin Zheng and Dr. Chuan Chen during my undergrad.

My primary research interests include Graph Neural Networks, Graph Mining and Recommender System.

You can reach me by lin@ifmlab.org. Please feel free to contact me for any discussion or collaboration.
Full CV

What’s New

[05/2020] One research paper is accepted by ACM Conference on Hypertext and Social Media (HT’20).
[05/2020] I will join Futurewei’s IC-Lab/AI group as a summer intern.
[12/2019] I will attend NeurIPS in Vancouver, Canada. See you there!

Department of Computer Science, Florida State University: Ph.D, Computer Science, 2018-Present.
Department of Computer Science, Sun Yat-sen University: BE, Network Engineering, 2014-2018.

Isomorphic Neural Network for Graph Representation Learning and Classification. Lin Meng, Jiawei Zhang. Graph Representation Learning Workshop of the 33rd Conference on Neural Information Processing Systems (NeurIPS ’19 Workshop), Vancouver, Canada, December 8-14, 2019. [poster] [code]
LATTE: Application Oriented Network Embedding. Lin Meng, Jiyang Bai, Jiawei Zhang. In: Proceedings of the 36th IEEE International Conference on Data Engineering (BigData ’19), Los Angeles, CA, USA, December 9-12, 2019. [slides]
Deep Heterogeneous Social Network Alignment. Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu. In: Proceedings of the 5th IEEE International Conference on Collaboration and Internet Computing (CIC ’19), Los Angeles, CA, USA, December 12-14, 2019. (invited paper) [slides]
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. Yuxiang Ren, Lin Meng, and Jiawei Zhang. 31st ACM Conference on Hypertext and Social Media (HT’20), Virtual Edition, July 13-15 2020, 2020.