Jing Jiang
Title
Cited by
Cited by
Year
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding
CZ Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan
(AAAI-2018) The Thirty-Second AAAI Conference on Artificial Intelligence …, 2018
495*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
3122018
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
2152019
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
1602013
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
1292017
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
1272011
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
1142018
Learning graph embedding with adversarial training methods
S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang
IEEE transactions on Cybernetics, 1-13, 2019
1032019
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
CZ Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang
(IJCAI-2018)The Twenty-Seventh International Joint Conference on Artificial …, 2018
93*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
742019
Connecting the dots: Multivariate time series forecasting with graph neural networks
Z Wu, S Pan, G Long, J Jiang, X Chang, C Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
632020
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
462019
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
432019
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
362019
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
302020
Multi-center federated learning
M Xie, G Long, T Shen, T Zhou, X Wang, J Jiang, C Zhang
arXiv preprint arXiv:2108.08647, 2021
252021
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
242020
Attribute Propagation Network for Graph Zero-shot Learning
CZ Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang
(AAAI-2020) The AAAI Conference on Artificial Intelligence, 2020
24*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
212020
DAGCN: dual attention graph convolutional networks
F Chen, S Pan, J Jiang, H Huo, G Long
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
202019
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Articles 1–20