| Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining, 731-739, 2017 | 427 | 2017 |
| 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 | 308 | 2019 |
| Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining, 633-641, 2017 | 275 | 2017 |
| Auto-gnn: Neural architecture search of graph neural networks K Zhou, Q Song, X Huang, X Hu arXiv preprint arXiv:1909.03184, 2019 | 81 | 2019 |
| 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 | 64 | 2020 |
| 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 | 59 | 2019 |
| 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 | 52 | 2019 |
| 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 | 51 | 2017 |
| Accelerated Local Anomaly Detection via Resolving Attributed Networks N Liu, X Huang, X Hu International Joint Conference on Artificial Intelligence, 2337-2343, 2017 | 48 | 2017 |
| 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 | 38 | 2018 |
| 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 | 36 | 2018 |
| Index coding and network coding via rank minimization X Huang, SE Rouayheb Information Theory Workshop, 14-18, 2015 | 34 | 2015 |
| Link Prediction with Personalized Social Influence Z Huo, X Huang, X Hu AAAI Conference on Artificial Intelligence, 2018 | 19 | 2018 |
| Multi-Channel Graph Neural Networks K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu International Joint Conference on Artificial Intelligence, 2020 | 18* | 2020 |
| Large-Scale Heterogeneous Feature Embedding X Huang, Q Song, F Yang, X Hu AAAI Conference on Artificial Intelligence, 2019 | 17 | 2019 |
| 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 | 16 | 2021 |
| Multi-Label Adversarial Perturbations Q Song, H Jin, X Huang, X Hu IEEE International Conference on Data Mining, 2018 | 16 | 2018 |
| 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 | 14 | 2021 |
| Temporal Augmented Graph Neural Networks for Session-Based Recommendations H Zhou, Q Tan, X Huang, K Zhou, X Wang 44th International ACM SIGIR Conference on Research and Development in …, 2021 | 13 | 2021 |
| 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 | 13 | 2018 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
