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Jing Jiang
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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
18842019
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
12332020
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
9792018
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
862*2018
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
4982019
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
4642017
Fedproto: Federated prototype learning across heterogeneous clients
Y Tan, G Long, L Liu, T Zhou, Q Lu, J Jiang, C Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8432-8440, 2022
3272022
Learning graph embedding with adversarial training methods
S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang
(TCYB) IEEE transactions on Cybernetics 50 (6), 2475--2487, 2020
3102020
Federated learning for open banking
G Long, Y Tan, J Jiang, C Zhang
(Book Chapter) Federated learning, 240-254, 2020
2572020
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-2022) International Conference on Learning Representations 2022, 1-17, 2021
237*2021
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
2012013
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
1782018
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, 1-8, 2019
1612019
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
155*2018
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 2021, 1-11, 2021
1382021
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
1362011
Multi-center federated learning: clients clustering for better personalization
G Long, M Xie, T Shen, T Zhou, X Wang, J Jiang
World Wide Web 26 (1), 481-500, 2022
1232022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Y Tan, G Long, J Ma, L Liu, T Zhou, J Jiang
(NeurIPS-22) Thirty-sixth Conference on Neural Information Processing …, 2022
1162022
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
1002019
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
962020
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