activity
20172022
most citedA Survey on Dialogue Systems: Recent Advances and New Frontiers

584 citations · 805 across the 20 of their papers we have counts for

collaborators
Showing 2021Show all

10 papers · 1 filter

cs.AI2021★ 2 cited

Trustworthy AI: A Computational Perspective

Haochen Liu, Yiqi Wang, Wenqi Fan +6

In the past few decades, artificial intelligence (AI) technology has experienced swift developments, changing everyone's daily life and profoundly altering the course of human soci…

cs.LG2021★ 1 cited

Imbalanced Adversarial Training with Reweighting

Wentao Wang, Han Xu, Xiaorui Liu +3

Adversarial training has been empirically proven to be one of the most effective and reliable defense methods against adversarial attacks. However, almost all existing studies abou…

cs.LG2021★ 5 cited

Elastic Graph Neural Networks

Xiaorui Liu, Wei Jin, Yao Ma +5

While many existing graph neural networks (GNNs) have been proven to perform -based graph smoothing that enforces smoothness globally, in this work we aim to further enhanc…

cs.LG2021★ 1 cited

Towards the Memorization Effect of Neural Networks in Adversarial Training

Han Xu, Xiaorui Liu, Wentao Wang +5

Recent studies suggest that ``memorization'' is one important factor for overparameterized deep neural networks (DNNs) to achieve optimal performance. Specifically, the perfectly f…

cs.LG2021★ 59 cited

Is Homophily a Necessity for Graph Neural Networks?

Yao Ma, Xiaorui Liu, Neil Shah +1

Graph neural networks (GNNs) have shown great prowess in learning representations suitable for numerous graph-based machine learning tasks. When applied to semi-supervised node cla…

cs.LG2021★ 21 cited

Automated Self-Supervised Learning for Graphs

Wei Jin, Xiaorui Liu, Xiangyu Zhao +3

Graph self-supervised learning has gained increasing attention due to its capacity to learn expressive node representations. Many pretext tasks, or loss functions have been designe…

cs.LG2021

Graph Feature Gating Networks

Wei Jin, Xiaorui Liu, Yao Ma +3

Graph neural networks (GNNs) have received tremendous attention due to their power in learning effective representations for graphs. Most GNNs follow a message-passing scheme where…

eess.SY2021★ 1 cited

Faster than Real-Time Simulation: Methods, Tools, and Applications

XiaoRui Liu, Juan Ospina, Ioannis Zografopoulos +2

Real-time simulation enables the understanding of system operating conditions by evaluating simulation models of physical components running synchronized at the real-time wall cloc…

eess.SY2021

CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks

Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou +1

The reliable operation of power grid is supported by energy management systems (EMS) that provide monitoring and control functionalities. Contingency analysis is a critical applica…

cs.CR2021★ 2 cited

Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies

Ioannis Zografopoulos, Juan Ospina, XiaoRui Liu +1

Cyber-physical systems (CPS) are interconnected architectures that employ analog, digital, and communication resources for their interaction with the physical environment. CPS are…