| DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang (AAAI-2018) The Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 610* | 2018 |
| Adversarially Regularized Graph Autoencoder for Graph Embedding S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang (IJCAI-2018)The Twenty-Seventh International Joint Conference on Artificial …, 2018 | 465 | 2018 |
| Graph WaveNet for Deep Spatial-Temporal Graph Modeling Z Wu, S Pan, G Long, J Jiang, C Zhang (IJCAI-2019) the Twenty-Eighth International Joint Conference on Artificial …, 2019 | 436 | 2019 |
| Connecting the dots: Multivariate time series forecasting with graph neural networks Z Wu, S Pan, G Long, J Jiang, X Chang, C Zhang (KDD-2020) Proceedings of the 26th ACM SIGKDD International Conference on …, 2020 | 208 | 2020 |
| Mgae: Marginalized graph autoencoder for graph clustering C Wang, S Pan, G Long, X Zhu, J Jiang (CIKM-2017) the 2017 ACM on Conference on Information and Knowledge …, 2017 | 194 | 2017 |
| Optimal cloud resource auto-scaling for web applications J Jiang, J Lu, G Zhang, G Long (CCGrid-2013)13th IEEE/ACM International Symposium on Cluster, Cloud, and …, 2013 | 176 | 2013 |
| Attributed Graph Clustering: A Deep Attentional Embedding Approach C Wang, S Pan, R Hu, G Long, J Jiang, C Zhang (IJCAI-2019) the Twenty-Eighth International Joint Conference on Artificial …, 2019 | 148 | 2019 |
| Learning graph embedding with adversarial training methods S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang (TCYB) IEEE transactions on Cybernetics, 1-13, 2019 | 138 | 2019 |
| Bi-directional block self-attention for fast and memory-efficient sequence modeling T Shen, T Zhou, G Long, J Jiang, C Zhang (ICLR-2018) 6th International Conference on Learning Representations, 2018 | 135 | 2018 |
| Scaling-up item-based collaborative filtering recommendation algorithm based on hadoop J Jiang, J Lu, G Zhang, G Long (SERVICES -2011) IEEE World Congress on Services, 2011, 490-497, 2011 | 127 | 2011 |
| Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang (IJCAI-2018)The Twenty-Seventh International Joint Conference on Artificial …, 2018 | 114* | 2018 |
| Learning to propagate for graph meta-learning L Liu, T Zhou, G Long, J Jiang, C Zhang (NeurIPS-2019) 33rd Conference on Neural Information Processing Systems …, 2019 | 63 | 2019 |
| Learning Private Neural Language Modeling with Attentive Aggregation S Ji, S Pan, G Long, X Li, J Jiang, Z Huang (IJCNN-2019) International Joint Conference on Neural Networks, 2019, 2019 | 59 | 2019 |
| Multi-center federated learning M Xie, G Long, T Shen, T Zhou, X Wang, J Jiang, C Zhang arXiv preprint arXiv:2005.01026, 2020 | 58 | 2020 |
| Prototype propagation networks (PPN) for weakly-supervised few-shot learning on category graph L Liu, T Zhou, G Long, J Jiang, L Yao, C Zhang (IJCAI-2019) Proceedings of the Twenty-Eighth International Joint Conference …, 2019 | 53 | 2019 |
| A universal representation transformer layer for few-shot image classification L Liu, W Hamilton, G Long, J Jiang, H Larochelle (ICLR-2021) International Conference on Learning Representations 2021, 2020 | 47 | 2020 |
| Rethinking 1d-cnn for time series classification: A stronger baseline W Tang, G Long, L Liu, T Zhou, J Jiang, M Blumenstein arXiv preprint arXiv:2002.10061, 2020 | 47 | 2020 |
| Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction Y Li, G Long, T Shen, T Zhou, L Yao, H Huo, J Jiang (AAAI-2020) The AAAI Conference on Artificial Intelligence, 2020 | 43 | 2020 |
| Attribute Propagation Network for Graph Zero-Shot Learning. L Liu, T Zhou, G Long, J Jiang, C Zhang (AAAI-2020) The AAAI Conference on Artificial Intelligence, 4868-4875, 2020 | 39 | 2020 |
| DAGCN: dual attention graph convolutional networks F Chen, S Pan, J Jiang, H Huo, G Long (IJCNN-2019) 2019 International Joint Conference on Neural Networks, 1-8, 2019 | 29 | 2019 |
Guodong LongAssociate Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
