Yao Ma

Image of Yao 

Yao Ma is a PhD student of Department of Computer Science and Engineering at Michigan State University.
He had completed his MS (2016) in Statistics, Probabilities & Operation Research at Eindhoven University of Technology and BS (2015) in Mathematics and Applied Mathematics at Zhejiang University.
His PhD advisor is Dr. Jiliang Tang, Assistant Professor of Computer Science and Engineering Department, Michigan State University.

Email: mayao4 at msu dot edu

Office: Engineering Building 2333

Research Interests

  • Network Embedding

  • Graph Neural Networks

News

  • 04/2020 Honored to receive the Outstanding Graduate Student Award (2019-20).

  • 04/2020 Our paper “Streaming Graph Neural Networks” is accepted by SIGIR2020.

  • 04/2020 Honored to receive the FAST Fellowship (2020-21).

  • 02/2020 Invited to serve as session chair for the “Application: Social and Information Networks” at AAAI2020.

  • 01/2020 Our paper “Traffic Flow Prediction via Spatial Temporal Graph Neural Network” is accepted by WWW2020.

  • 12/2019 Our paper “Deep Adversarial Canonical Correlation Analysis” is accepted by SDM 2020.

  • 12/2019 Invited to serve as PC member for IJCAI2020.

  • 11/2019 Invited to serve as PC menber for DLGMA@AAAI2020.

  • 10/2019 Our paper “Epidemic Graph Convolutional Network” is accepted by WSDM2020.

  • 09/2019 A survey titled “Adversarial Attacks and Defenses in Images, Graphs and Text: A Review” is released here.

  • 09/2019 Our tutorial “Graph Neural Networks: Models and Applications” is accepted by AAAI2020.

  • 08/2019 Invited to serve as PC member for AAAI2020.

  • 07/2019 New preprint on R-TRANSFORMER is released here.

  • 06/2019 New preprint on Attacking Graph Convolutional Networks via Rewiring is released here.

  • 06/2019 Our paper “Deep Social Collaborative Filtering” is accepted by RecSys 2019 (preprint here).

  • 06/2019 Received a Student Travel Award to attend KDD 2019.

  • 05/2019 Our paper “Deep Adversarial Social Recommendation” is accepted by IJCAI 2019 (preprint here).

  • 04/2019 Our paper “Graph Convolutional Networks with EigenPooling” is accepted by KDD 2019 (preprint here).

  • 04/2019 Invited to serve as PC member of BigData 2019.

  • 03/2019 Received a SIAM Student Travel Award to attend SDM 2019.

  • 01/2019 Our paper “Graph Neural Networks for Social Recmmendation” is accepted by WWW 2019 (preprint here).

  • 12/2018 Our paper “Multi-dimensional Graph Convolutional Neural Networks” is accepted by SDM 2019 (preprint here).

  • 10/2018 New preprint on Streaming Graph Neural Networks is released here.

  • 08/2018 New preprint on Multi-dimensional Graph Convolutional Neural Networks is released here.

  • 08/2018 New preprint on Linked RNN is released here.

  • 08/2018 Our paper “Signed Graph Convolutional Neural Networks” is accepted by ICDM 2018 (preprint here).

  • 08/2018 Invited to serve as a PC member of BigData 2018.

  • 06/2018 Our paper “Local and Global Information Preserved Network Embedding” is accepted by ASONAM 2018 (paper).

  • 10/2017 Our paper “Multidimensional Network Embedding with Hierarchical Structures” is accepted by WSDM 2018 (preprint here).

  • 09/2017 Our paper “Network Embedding with Centrality Information” is accepted by PhD Forum, ICDM 2017 (paper).