Sotabase

Career

· Assistant Professor, North Carolina State University2022–
· Research Intern, AI Lab @ TAL Education Group2021–2021
· Research Intern, AI Lab @ Kuaishou Technology2020–2020
· Research Intern, Data Science Lab @ JD.com2018–2018
· Research Intern, Data Science Lab @ JD.com2017–2017
· Doctor of Philosophy - PhD, Computer Science, Michigan State University2017–2022
· Graduate Research And Teaching Assistant, Michigan State University2017–2022
· Master's degree, Electronics Engineering, South China University of Technology2015–2017
· Research Assistant, South China Univerity of Technology2014–2017
· Bachelor's degree, Automation, South China University of Technology2011–2015

Publications (48)

Graph Structure Learning for Robust Graph Neural Networks
Knowledge Discovery and Data Mining · 2020
825
cited
A Survey on Dialogue Systems: Recent Advances and New Frontiers
SKDD · 2017
737
cited
Is Homophily a Necessity for Graph Neural Networks?
International Conference on Learning Representations · 2021
279
cited
Trustworthy AI: A Computational Perspective
ACM Transactions on Intelligent Systems and Technology · 2021
259
cited
To be Robust or to be Fair: Towards Fairness in Adversarial Training
International Conference on Machine Learning · 2020
211
cited
A Unified View on Graph Neural Networks as Graph Signal Denoising
International Conference on Information and Knowledge Management · 2020
197
cited
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies
IEEE Access · 2021
197
cited
Elastic Graph Neural Networks
International Conference on Machine Learning · 2021
123
cited
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
arXiv.org · 2020
119
cited
Automated Self-Supervised Learning for Graphs
International Conference on Learning Representations · 2021
91
cited
Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems
IEEE Access · 2020
60
cited
A Double Residual Compression Algorithm for Efficient Distributed Learning
International Conference on Artificial Intelligence and Statistics · 2019
55
cited
Deep Adversarial Network Alignment
International Conference on Information and Knowledge Management · 2019
52
cited
Linear Convergent Decentralized Optimization with Compression
International Conference on Learning Representations · 2020
52
cited
A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context
Complex & Intelligent Systems · 2022
44
cited
On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic
IEEE Access · 2020
41
cited
Epidemic Graph Convolutional Network
Web Search and Data Mining · 2020
32
cited
Comparison of clinical characteristics between SARS-CoV-2 Omicron variant and Delta variant infections in China
Frontiers in Medicine · 2022
23
cited
Imbalanced Adversarial Training with Reweighting
Industrial Conference on Data Mining · 2021
21
cited
Deep Adversarial Canonical Correlation Analysis
SDM · 2020
19
cited
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Xiaorui Liu | Researcher Profile | Sotabase | Sotabase