Yao Ma

Image of Yao 

Assistant Professor
Department of Computer Science
Ying Wu College of Computing
New Jersey Institute of Technology

Data Analytics and Machine Intelligence (DAMI) Lab

Email: yao dot ma at njit dot edu
Office: GITC 4204

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Short Bio

Yao Ma is an assistant professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT).
He got his PhD from Michigan State University in 2021 under the supervision of Dr. Jiliang Tang. Before that, he completed his MS (2016) in Statistics, Probability & Operations Research at Eindhoven University of Technology and BS (2015) in Mathematics and Applied Mathematics at Zhejiang University.

I have several fully-funded PhD positions available in Spring 2023 and Fall 2023. If you are interested in working with me, please feel free to email me. Please check here for more details.

Research Interests

  • Machine learning on graphs

  • Social network analysis

  • Knowledge graphs

Call for Papers

  • The 2nd International Workshop on Machine Learning on Graphs (MLoG) to be held at ICDM’22 (Workshop Co-Chair)

    • Note that accepted works will be published in formal proceedings by the IEEE Computer Society Press. Details: here.

    • We invite submissions that focus on recent advances in research/development of machine learning on graphs along with their applications.

    • Submission Deadline: September 17th, 2022 (link)

  • Machine Learning on Complex Graphs - Frontiers in Big Data (Topic Editor)

    • Welcomed topics include: graph kernels/summarization/coarsening/alignment/etc, graph neural networks, network embedding, related applications, etc

    • We especially invite submissions with emphasis on complex graphs such as dynamic/hyper/heterogeneous/knowledge graphs

    • Paper Submission Deadline: November 25th 2022 (link)

News (more)

  • 08/2022 Honored to receive a research grant from NSF for the project Collaborative Research: III: Medium: Graph Neural Networks for Heterophilous Data: Advancing the Theory, Models, and Applications as the Site PI at NJIT.

  • 08/2022 Invited to give a talk for the Data Science Show at AT&T Labs.

  • 08/2022 New preprint on graph contrastive learning is available here.

  • 07/2022 Invited to serve as Senior PC member for AAAI2023.

  • 05/2022 One paper accepted by KDD2022.

  • 04/2022 Our workshop Machine Learning on Graphs (MLoG) is accepted at ICDM2022.

  • 03/2022 Invited to serve as a PC menber for KDD2022, ICML2022, IJCAI2022, and NeurIPS2022.

  • 02/2022 Gratefully received an NSF CRII grant (IIS-2153326) as the PI to support our research on advancing graph neural networks.

  • 01/2022 Two papers accepted by ICLR2022.

  • 11/2021 Our workshop “Machine Learning on Graphs (MLoG)” has been accpeted by WSDM2022.

  • 10/2021 Invited to serve as Proceddings Co-chair of KDD2022.

  • 10/2021 Invited to serve as PC member for SDM 2022.

  • 10/2021 Invited to serve as PC menber for The Web Conference 2022.

  • 09/2021 One paper accepted by NeurIPS2021.

  • 08/2021 Two papers accepted by CIKM2021.