Dongliang Guo

I am currently a PhD student at the University of Virginia, advised by Dr. Sheng Li. Prior to that, I received my bachelor's degree in Software Engineering from University of Eletronic Science and Technology of China (UESTC).

Email: dongliang.guo at virginia.edu

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My research interests are including multi-modal learning, computer vision and Trustworthy learning (explainable AI, fairness).

Ph.D., 2021 - now, University of Virginia

B.Eng., 2016 - 2020, University of Electronic Science and Technology of China

It aims to generate fair node embeddings for some realistic networks with some nodes with missing attributes, by completing the node embeddings and jointly mitigating the feature and topological unfairness.

It adapts the proposed multi-modal VAD model from scene to scene by data augmentation and mutual information optimization.

We collect and conclude the existing explainable anomaly detection methods, introduce useful datasets and metrics, and propose some promising future directions.

Program Committee Member / Reviewer: ICLR 2024, NeurIPS 2023-24, ICML 2024, CVPR 2024, IEEE CIM, IEEE Big Data, IEEE TKDD, IEEE TNNLS, IEEE TPAMI.

CS 5012: Foundations of Computer Science (Spring 2023)