About me

I am a research scientist in the User Modeling & Personalization team at Snap Research. My work focuses on graph machine learning, recommender systems, representation learning, and user modeling. I expect to receive a Ph.D. degree in Computer Science and Engineering from the University of Notre Dame in 2024, advised by Dr. Fanny Ye. Before that, I received my B.S. and M.S. from Case Western Reserve University, supervised by Dr. Soumya Ray.

News

[2024.03] I joined Snap Research as a research scientist.
[2023.09] One first-authored paper about test-time augmentation for GNNs has been accepted to NeurIPS’23. See you in New Orleans.
[2023.09] I will serve as PCs for ICLR’24, WWW’24, SDM’24, and AAAI’24.
[2023.01] Three papers are accepted to ICLR’23! One first-authored one studies multi-task self-suerpvised graph learning. The others study large language models for QA and graph adversarial learning. Congrats to everyone involved!
[2022.11] One first-authored paper about graph adversarial attack has been accepted to AAAI’23.
[2022.10] One first-authored paper on open-domain question answering has been accepted to EMNLP’22. Big thanks to my collaborators and mentors!

Research Engineer, Snap Research, Bellevue, WA, USA
Focus: Recommender Systems
Supervisor: Neil Shah
March, 2024 - Present
Research Intern, Snap Research, Seattle, WA, USA
Focus: Efficient Graph Neural Networks for Recommender Systems
Mentors: Tong Zhao, Neil Shah, and Yozen Liu
June - September, 2023

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
M. Ju, T. Zhao, W. Yu, N. Shah, Y. Ye
NeurIPS 23 [pdf] [code]
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
M. Ju, T. Zhao, Q. Wen, W. Yu, N. Shah, Y. Ye, C. Zhang
ICLR 23 [pdf] [code]
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
M. Ju, Y. Fan, C. Zhang, Y. Ye
AAAI 23 [pdf] [code]
Grape: Knowledge Graph Enhance Passage Reader for Open-domain Question Answering
M. Ju*, W. Yu*, T. Zhao, C. Zhang, Y. Ye
EMNLP 22 (Findings) [pdf] [code]
Adaptive Kernel Graph Neural Network
M. Ju, S. Hou, Y. Fan, J. Zhao, Y. Ye, L. Zhao
AAAI 22 [pdf] [code]

Heterogeneous Temporal Graph Neural Network
Y. Fan, M. Ju, C. Zhang, Y. Ye
SDM 22 [pdf] [code]

* stands for equal contribution.