Follow
Guodong Long
Guodong Long
Associate Professor, Faculty of Engineering and IT, University of Technology Sydney
Verified email at uts.edu.au - Homepage
Title
Cited by
Cited by
Year
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
8115*2020
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Z Wu, S Pan, G Long, J Jiang, C Zhang
International Joint Conference on Artificial Intelligence (IJCAI) 2019, 1907 …, 2019
15782019
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
9682020
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
8922018
Disan: Directional self-attention network for rnn/cnn-free language understanding
T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang
AAAI Conference on Artificial Intelligence 2018, 5446-5455, 2018
8172018
Attributed Graph Clustering: A Deep Attentional Embedding Approach
C Wang, S Pan, R Hu, G Long, J Jiang, C Zhang
International Joint Conference on Artificial Intelligence (IJCAI) 2019, 3670 …, 2019
4302019
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
4142017
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
2762020
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
239*2022
FedProto: Federated Prototype Learning over Heterogeneous Devices
Y Tan, G Long, L Liu, T Zhou, Q Lu, J Jiang, C Zhang
AAAI Conference on Artificial Intelligence 2022, 8432-8440, 2022
216*2022
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
1982013
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
1912020
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
189*2022
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
1842018
Federated Learning for Open Banking
G Long, Y Tan, J Jiang, C Zhang
Federated Learning: Privacy and Incentive, 240--254, 2020
1822020
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
1682018
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
B Wang, T Shen, G Long, T Zhou, Y Wang, Y Chang
(WebConf) The Web Conference 2021 (30), 1-10, 2021
1662021
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
1492018
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
1412019
Scaling-up item-based collaborative filtering recommendation algorithm based on hadoop
J Jiang, J Lu, G Zhang, G Long
IEEE World Congress on Services (SERVICES), 490-497, 2011
1362011
The system can't perform the operation now. Try again later.
Articles 1–20