| A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, PS Yu. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 32 (1), 4-24, 2020 | 10619 | 2020 |
| Graph WaveNet for Deep Spatial-Temporal Graph Modeling Z Wu, S Pan, G Long, J Jiang, C Zhang (IJCAI) International Joint Conference on Artificial Intelligence 2019, 1907 …, 2019 | 2305 | 2019 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Z Wu, S Pan, G Long, J Jiang, X Chang, C Zhang (SIGKDD) ACM SIG on Knowledge Discovery and Data Mining 2020, 753-763, 2020 | 1536 | 2020 |
| Adversarially Regularized Graph Autoencoder for Graph Embedding S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang (IJCAI) International Joint Conference on Artificial Intelligence 2018, 2609 …, 2018 | 1068 | 2018 |
| Disan: Directional self-attention network for rnn/cnn-free language understanding T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang (AAAI) Annual AAAI Conference on Artificial Intelligence 2018, 5446-5455, 2018 | 899 | 2018 |
| Attributed Graph Clustering: A Deep Attentional Embedding Approach C Wang, S Pan, R Hu, G Long, J Jiang, C Zhang (IJCAI) International Joint Conference on Artificial Intelligence 2019, 3670 …, 2019 | 564 | 2019 |
| Mgae: Marginalized graph autoencoder for graph clustering C Wang, S Pan, G Long, X Zhu, J Jiang ACM on Conference on Information and Knowledge Management (CIKM), 889-898, 2017 | 509 | 2017 |
| FedProto: Federated Prototype Learning over Heterogeneous Devices Y Tan, G Long, L Liu, T Zhou, Q Lu, J Jiang, C Zhang (AAAI) Annual AAAI Conference on Artificial Intelligence 2022, 8432-8440, 2022 | 473* | 2022 |
| Learning graph embedding with adversarial training methods S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang IEEE transactions on cybernetics (TCYB) 50 (6), 2475-2487, 2020 | 340 | 2020 |
| Federated Learning for Open Banking G Long, Y Tan, J Jiang, C Zhang Federated Learning: Privacy and Incentive, 240--254, 2020 | 322 | 2020 |
| Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification W Tang, G Long, L Liu, T Zhou, M Blumenstein, J Jiang (ICLR) The Tenth International Conference on Learning Representations 2022, 1-17, 2022 | 285* | 2022 |
| Suicidal ideation detection: A review of machine learning methods and applications S Ji, S Pan, X Li, E Cambria, G Long, Z Huang IEEE Transactions on Computational Social Systems 8 (1), 214-226, 2020 | 250 | 2020 |
| Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion B Wang, T Shen, G Long, T Zhou, Y Wang, Y Chang (WWW) The ACM Web Conference 2021, 1737–1748, 2021 | 247 | 2021 |
| Supervised Learning for Suicidal Ideation Detection in Online User Content S Ji, CP Yu, S Fung, S Pan, G Long Complexity 2018 (6157249), 1-10, 2018 | 230 | 2018 |
| Optimal cloud resource auto-scaling for web applications J Jiang, J Lu, G Zhang, G Long IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing …, 2013 | 209 | 2013 |
| Bi-directional block self-attention for fast and memory-efficient sequence modeling T Shen, T Zhou, G Long, J Jiang, C Zhang (ICLR) International Conference on Learning Representations 2018, 1-18, 2018 | 180 | 2018 |
| Multi-center federated learning: clients clustering for better personalization G Long, M Xie, T Shen, T Zhou, X Wang, J Jiang World Wide Web, 1-20, 2022 | 174 | 2022 |
| Learning Private Neural Language Modeling with Attentive Aggregation S Ji, S Pan, G Long, X Li, J Jiang, Z Huang International Joint Conference on Neural Networks (IJCNN) 2019, 1--8, 2019 | 171 | 2019 |
| Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling T Shen, T Zhou, G Long, J Jiang, S Wang, C Zhang International Joint Conference on Artificial Intelligence (IJCAI) 2018, 4345 …, 2018 | 162 | 2018 |
| Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Y Tan, G Long, J Ma, L Liu, T Zhou, J Jiang (NeurIPS-2022) Thirty-seventh Conference on Neural Information Processing …, 2022 | 161 | 2022 |
Chengqi ZhangChair Professor of Artificial Intelligence在 polyu.edu.hk 的电子邮件经过验证
