Xiao Huang
Title
Cited by
Cited by
Year
Label Informed Attributed Network Embedding
X Huang, J Li, X Hu
ACM International Conference on Web Search and Data Mining, 731-739, 2017
3172017
Accelerated Attributed Network Embedding
X Huang, J Li, X Hu
SIAM International Conference on Data Mining, 633-641, 2017
2062017
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
962019
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
302018
Accelerated Local Anomaly Detection via Resolving Attributed Networks
N Liu, X Huang, X Hu
International Joint Conference on Artificial Intelligence, 2337-2343, 2017
292017
Index coding and network coding via rank minimization
X Huang, SE Rouayheb
Information Theory Workshop, 14-18, 2015
282015
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
232017
Auto-gnn: Neural architecture search of graph neural networks
K Zhou, Q Song, X Huang, X Hu
arXiv preprint arXiv:1909.03184, 2019
212019
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
202018
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
182019
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
102019
Link Prediction with Personalized Social Influence
Z Huo, X Huang, X Hu
AAAI Conference on Artificial Intelligence, 2018
92018
Large-Scale Heterogeneous Feature Embedding
X Huang, Q Song, F Yang, X Hu
AAAI Conference on Artificial Intelligence, 2019
82019
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
62018
Multi-Label Adversarial Perturbations
Q Song, H Jin, X Huang, X Hu
IEEE International Conference on Data Mining, 2018
62018
Learning from networks: Algorithms, theory, and applications
X Huang, P Cui, Y Dong, J Li, H Liu, J Pei, L Song, J Tang, F Wang, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
52019
Empirical Bayes Transfer Learning for Uncertainty Characterization in Predicting Parkinson’s Disease Severity
N Zou, X Huang
IISE Transactions on Healthcare Systems Engineering, 2018
32018
Multi-Channel Graph Neural Networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conference on Artificial Intelligence, 2020
2*2020
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
12021
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
12020
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