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Guodong Long
Guodong Long
Associate Professor, Australian AI Institute, University of Technology Sydney
Bestätigte E-Mail-Adresse bei uts.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
42402020
Disan: Directional self-attention network for rnn/cnn-free language understanding
T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang
Association for the Advancement of Artificial Intelligence (AAAI) 2018, 5446 …, 2018
6622018
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
6002019
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
5352018
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
3202020
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
2312017
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
1972019
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
1792013
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
1632020
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
1492018
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
1282011
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
1222018
Supervised Learning for Suicidal Ideation Detection in Online User Content
S Ji, CP Yu, S Fung, S Pan, G Long
Complexity 2018, 6157249:1-6157249:10, 2018
1022018
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
902020
Diagnosis code assignment using sparsity-based disease correlation embedding
S Wang, X Chang, X Li, G Long, L Yao, Q Sheng
IEEE Transactions on Knowledge & Data Engineering (TKDE) 28 (12), 3191-3202 …, 2016
852016
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
83*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
742019
Learning to Propagate for Graph Meta-Learning
L Liu, T Zhou, G Long, J Jiang, C Zhang
The 33rd Conference on Neural Information Processing Systems (NeurIPS) 2019 …, 2019
732019
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, 2022
72*2022
A Universal Representation Transformer Layer for Few-Shot Image Classification
L Liu, W Hamilton, G Long, J Jiang, H Larochelle
(ICLR) International Conference on Learning Representations 2021 (9), 1-11, 2021
682021
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