I am a PhD student in Computer Science at Vanderbilt University under the supervision of Dr. Tyler Derr and a member of the Network and Data Science (NDS) lab. I have completed my BS and MS in Computer Science from Huazhong University of Science and Technology in 2018 and 2021, respectively, where I received the university’s “Outstanding Graduate” award for both my BS degree and MS degree.

Research Interest

My research interests lie in the interface of Machine Learning and Graph Mining with specific focus on: Fairness-aware Graph Neural Networks, Explainable Graph Neural Networks. I am fascinated by the powerful representation ability of graphs. I am broadly interested in analyzing all kinds of graph data, ranging from social media networks, coauthorship relationships, biology graphs, EHR graphs in healthcare domain, and so on.

News

Publications

2022

  • [CIKM] Imbalanced Graph Classification via Graph-of-Graph Neural Networks [Paper][Code]
    • Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
  • [KDD] Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage [Paper][Code]
    • Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
  • [AMIA] Inferring EHR Utilization Workflows through Audit Logs
    • Yuying Zhao*, Xinmeng Zhang*, Chao Yan, Tyler Derr, You Chen

Before 2022

  • [DSE journal] Maximizing Influence over Streaming Graphs with Query Sequence [Paper]
    • Yuying Zhao, Yunfei Hu, Pingpeng Yuan, Hai Jin
  • [CSCWD] Grace: An Efficient Parallel SPARQL Query System over Large-Scale RDF Data [Paper]
    • Xiang Kang, Yuying Zhao, Pingpeng Yuan, Hai Jin

* denotes co-first author.

Preprints and Submissions

  • [Preprints] Collaboration-Aware Graph Convolutional Networks for Recommendation Systems - [Paper].

Symposiums and Workshops

  • Yuying Zhao. Improving Fairness via Fair Explanation. International Conference on Data Mining (SDM) Doctoral Forum, SIAM, Poster, 2022.