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Xiao Huang
Xiao Huang
Assistant Professor at The Hong Kong Polytechnic University
Geverifieerd e-mailadres voor comp.polyu.edu.hk - Homepage
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Label Informed Attributed Network Embedding
X Huang, J Li, X Hu
ACM International Conference on Web Search and Data Mining, 731-739, 2017
4102017
Accelerated Attributed Network Embedding
X Huang, J Li, X Hu
SIAM International Conference on Data Mining, 633-641, 2017
2682017
Knowledge Graph Embedding Based Question Answering
X Huang, J Zhang, D Li, P Li
ACM International Conference on Web Search and Data Mining, 105-113, 2019
2662019
Auto-gnn: Neural architecture search of graph neural networks
K Zhou, Q Song, X Huang, X Hu
arXiv preprint arXiv:1909.03184, 2019
702019
Graph Recurrent Networks with Attributed Random Walks
X Huang, Q Song, Y Li, X Hu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2019
542019
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu
Conference on Neural Information Processing Systems, 2020
502020
Multi-Aspect Streaming Tensor Completion
Q Song, X Huang, H Ge, J Caverlee, X Hu
ACM SIGKDD Conferences on Knowledge Discovery and Data Mining, 435-443, 2017
462017
Accelerated Local Anomaly Detection via Resolving Attributed Networks
N Liu, X Huang, X Hu
International Joint Conference on Artificial Intelligence, 2337-2343, 2017
432017
On Interpretation of Network Embedding via Taxonomy Induction
N Liu, X Huang, J Li, X Hu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2018
382018
Exploring Expert Cognition for Attributed Network Embedding
X Huang, Q Song, J Li, X Hu
ACM International Conference on Web Search and Data Mining, 270-278, 2018
382018
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks
Y Li, X Huang, J Li, M Du, N Zou
ACM International Conference on Information and Knowledge Management, 2019
332019
Index coding and network coding via rank minimization
X Huang, SE Rouayheb
Information Theory Workshop, 14-18, 2015
322015
Link Prediction with Personalized Social Influence
Z Huo, X Huang, X Hu
AAAI Conference on Artificial Intelligence, 2018
192018
Large-Scale Heterogeneous Feature Embedding
X Huang, Q Song, F Yang, X Hu
AAAI Conference on Artificial Intelligence, 2019
152019
Multi-Channel Graph Neural Networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conference on Artificial Intelligence, 2020
14*2020
Multi-Label Adversarial Perturbations
Q Song, H Jin, X Huang, X Hu
IEEE International Conference on Data Mining, 2018
142018
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks
X Huang, J Li, Z Na, X Hu
ACM Transactions on Knowledge Discovery from Data 12, 1-24, 2018
132018
Dirichlet energy constrained learning for deep graph neural networks
K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu
Conference on Neural Information Processing Systems, 2021
10*2021
Dynamic Memory based Attention Network for Sequential Recommendation
Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu
AAAI Conference on Artificial Intelligence, 2021
92021
Empirical Bayes Transfer Learning for Uncertainty Characterization in Predicting Parkinson’s Disease Severity
N Zou, X Huang
IISE Transactions on Healthcare Systems Engineering, 2018
92018
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Artikelen 1–20