Ninghao Liu

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Ninghao Liu
Department of Computer Science
University of Georgia
616 Boyd Graduate Studies Research Center
Athens, GA, 30602

Email: ninghao dot liu at uga dot edu


Dr. Ninghao Liu is an assistant professor in the Department of Computer Science at the University of Georgia. He received Ph.D. in Computer Science from Texas A&M University in 2021, under the supervision of Dr. Xia Hu. He received his M.S. degree in Electrical and Computer Engineering from Georgia Institute of Technology in 2015 and B.S. degrees in Information Engineering from South China University of Technology in 2014.

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

Research (Google Scholar)

Dr. Ninghao Liu's research interests are Explainable AI (XAI), Graph Mining, Model Fairness, Recommender Systems, and Outlier Detection. He has published refereed papers at recognized venues such as KDD, WWW, ICML, ICLR, NeurIPS, WSDM, IJCAI, CIKM, ICDM, etc. His work won the Outstanding Paper Award in ICML 2022, the Best Paper Award Shortlist in WWW 2019, and the Best Paper Award Candidate in ICDM 2019.


  • 2022/12: One paper accepted by SDM 2023.

  • 2022/11: Two papers accepted by AAAI 2023.

  • 2022/10: Two papers accepted by WSDM 2023.

  • 2022/08: Honored to receive the NSF IIS Core grant “Collaborative Research: III: Small: Graph-Oriented Usable Interpretation” as the UGA PI.

  • 2022/08: One paper accepted by CIKM 2022.

  • 2022/07: Welcome to check our survey paper about machine learning fairness available at TKDD.

  • 2022/07: Our paper “G-Mixup: Graph Data Augmentation for Graph Classification” is awarded an Outstanding Paper Award at ICML 2022!

  • 2022/05: One paper accepted by KDD 2022.

  • 2022/05: One paper accepted by ICML 2022.

  • 2022/03: Our workshop proposal on “Data Science and Artificial Intelligence for Responsible Recommendations” has been accepted by KDD 2022. We welcome your submissions and attendance.

  • 2022/01: One paper accepted by ICLR 2022.

  • 2022/01: Two papers accepted by TheWebConf (WWW) 2022.

  • 2022/01: Our review of Interpretability in Graph Neural Networks is available online.

  • 2021/12: One paper about anomaly detection is accepted to SDM 2022.

  • 2021/12: Invited to serve as a PC member of KDD 2022 and ICML 2022.

  • 2021/09: Invited to serve as a SPC member of AAAI 2022.

  • 2021/06: Our survey paper Adversarial Attacks and Defenses: An Interpretation Perspective is available at SIGKDD Explorations Newsletter.

  • 2021/06: Invited to serve as a PC member of WSDM 2022.

  • 2021/04: Invited to serve as a PC member of CIKM 2021 and NeurIPS 2021.

  • 2021/02: One paper about learning credible DNNs is available at KAIS.

  • 2020/12: One paper accepted by AAAI 2021.

  • 2020/12: Invited to serve as a PC member of ICML 2021.

  • 2020/12: Invited to serve as a PC member of KDD 2021.

  • 2020/11: Successfully defend my Ph.D. dissertation!

  • 2020/10: One paper accepted by WSDM 2021.