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About

I am a Staff Machine Learning Scientist at Visa. Previously, I obtained my Ph.D. from Florida State University, co-advised by Prof. Jiawei Zhang and Prof. Xiaonan Zhang. Prior to 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 Mining, Fraud Detection and Generative AI.

You can reach me by linmenglm96@gmail.com. Please feel free to contact me for any discussion or collaboration.
[Google Scholar] [LinkedIn]

What's New

  • [09/2023] I will serve as a PC member/reviewer for SDM'23/ICML'23.
  • [08/2023] One paper is accepted by CIKM'23.
  • [03/2023] I will serve as a reviewer for IEEE TNNLS.
  • [01/2023] One paper is accepted by DASFAA'23.
  • [12/2022] I will serve as a PC member for KDD'23 and a reviewer IEEE TBD.
  • [06/2022] One paper is accepted by TAG workshop@ICML'22.
  • [05/2022] I will serve as a reviewer for NeurIPS'22.
  • [04/2022] One paper is accepted by IJCNN'22.
  • [03/2022] I will join Intel AI Lab, San Diego, CA as a research intern this summer.
  • [12/2021] I will serve as a PC member for KDD'22.
  • [10/2021] I will serve as a PC member for SDM'22.
  • [08/2021] I will serve as a journal reviewer for IEEE Transactions on Big Data.
  • [09/2020] I will serve as a PC member for AAAI'21.
  • [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!

Education

Department of Computer Science, Florida State University
Ph.D, Computer Science, 2018-2023.
Department of Computer Science, Florida State University
MS, Computer Science, 2018-2021.
Department of Computer Science, Sun Yat-sen University
BE, Network Engineering, 2014-2018.

Selected Publications

  • Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. Lin Meng, Yuxiang Ren, Jiawei Zhang. DASFAA ’23. [paper]
  • Deoscillated Graph Collaborative Filtering. Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu. ICML ’22 workshop. (* denotes equal contribution.) [paper]
  • Isomorphic Neural Network for Graph Representation Learning and Classification. Lin Meng, Jiawei Zhang. NeurIPS ’19 Workshop. [paper]

Honors and Awards

  • NSF Student Travel Grant, 2023
  • GHC Student Scholarship, 2022
  • NeurIPS Student Travel Award, 2019
  • FSU Student Travel Award, 2019, 2023
  • The Third Class Scholarship, SYSU, 2017
  • The First Class Scholarship, SYSU, 2016
  • National Encouragement Schloarship, 2016
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