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Xiaorui Liu
Xiaorui Liu
Assistant Professor of Computer Science, North Carolina State University
Bestätigte E-Mail-Adresse bei ncsu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A survey on dialogue systems: Recent advances and new frontiers
H Chen, X Liu, D Yin, J Tang
Acm Sigkdd Explorations Newsletter 19 (2), 25-35, 2017
8842017
Graph structure learning for robust graph neural networks
W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang
KDD 2020 (ACM SIGKDD International Conference on Knowledge Discovery & Data …, 2020
6202020
Is homophily a necessity for graph neural networks?
Y Ma, X Liu, N Shah, J Tang
ICLR 2022 (International Conference on Learning Representations), 2021
2622021
Trustworthy AI: A Computational Perspective
H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, AK Jain, J Tang
ACM Transactions on Intelligent Systems and Technology, 2022
2192022
To be robust or to be fair: Towards fairness in adversarial training
H Xu*, X Liu*, Y Li, A Jain, J Tang
International Conference on Machine Learning, 11492-11501, 2021
1832021
A unified view on graph neural networks as graph signal denoising
Y Ma, X Liu, T Zhao, Y Liu, J Tang, N Shah
Proceedings of the 30th ACM International Conference on Information …, 2021
1662021
Elastic graph neural networks
X Liu, W Jin, Y Ma, Y Li, H Liu, Y Wang, M Yan, J Tang
International Conference on Machine Learning, 6837-6849, 2021
1152021
Graph trend filtering networks for recommendation
W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
982022
Automated self-supervised learning for graphs
W Jin, X Liu, X Zhao, Y Ma, N Shah, J Tang
ICLR 2022 (International Conference on Learning Representations), 2021
812021
A pointing gesture based egocentric interaction system: Dataset, approach and application
Y Huang, X Liu, X Zhang, L Jin
Proceedings of the IEEE conference on computer vision and pattern …, 2016
712016
A Double Residual Compression Algorithm for Efficient Distributed Learning
X Liu, Y Li, J Tang, M Yan
AISTATS 2020 (International Conference on Artificial Intelligence and …, 2020
652020
Graph neural networks with adaptive residual
X Liu, J Ding, W Jin, H Xu, Y Ma, Z Liu, J Tang
Advances in Neural Information Processing Systems 34, 9720-9733, 2021
622021
Deep adversarial network alignment
T Derr, H Karimi, X Liu, J Xu, J Tang
Proceedings of the 30th ACM international conference on information …, 2021
572021
Linear Convergent Decentralized Optimization with Compression
X Liu, Y Li, R Wang, J Tang, M Yan
ICLR 2021 (International Conference on Learning Representations), 2021
512021
Deepfinger: A cascade convolutional neuron network approach to finger key point detection in egocentric vision with mobile camera
Y Huang, X Liu, L Jin, X Zhang
2015 IEEE international conference on systems, man, and cybernetics, 2944-2949, 2015
422015
Epidemic graph convolutional network
T Derr, Y Ma, W Fan, X Liu, C Aggarwal, J Tang
WSDM 2020 (International Conference on Web Search and Data Mining), 160-168, 2020
382020
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
W Jin, X Liu, Y Ma, C Aggarwal, J Tang
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2022
332022
Jointly attacking graph neural network and its explanations
W Fan, W Jin, X Liu, H Xu, X Tang, S Wang, Q Li, J Tang, J Wang, ...
IEEE International Conference on Data Engineering (ICDE 2023), 2021
312021
Deep Adversarial Canonical Correlation Analysis
W Fan, Y Ma, H Xu, X Liu, J Wang, Q Li, J Tang
ICDM 2020 (SIAM International Conference on Data Mining), 352-360, 2020
262020
Imbalanced adversarial training with reweighting
W Wang, H Xu, X Liu, Y Li, B Thuraisingham, J Tang
Proceedings of the 2022 IEEE International Conference on Data Mining (ICDM), 2021
212021
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