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Yuxuan Liang
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Cited by
Year
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction
Y Liang, S Ke, J Zhang, X Yi, Y Zheng
IJCAI 2018, 3428-3434, 2018
3572018
Urban traffic prediction from spatio-temporal data using deep meta learning
Z Pan, Y Liang, W Wang, Y Yu, Y Zheng, J Zhang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
2682019
Urban water quality prediction based on multi-task multi-view learning
Y Liu, Y Zheng, Y Liang, S Liu, DS Rosenblum
IJCAI 2016, 2016
2082016
Federated forest
Y Liu, Y Liu, Z Liu, Y Liang, C Meng, J Zhang, Y Zheng
IEEE Transactions on Big Data, 2020
1032020
Predicting citywide crowd flows in irregular regions using multi-view graph convolutional networks
J Sun, J Zhang, Q Li, X Yi, Y Liang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2020
982020
Urbanfm: Inferring fine-grained urban flows
Y Liang, K Ouyang, L Jing, S Ruan, Y Liu, J Zhang, DS Rosenblum, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
812019
Nodeaug: Semi-supervised node classification with data augmentation
Y Wang, W Wang, Y Liang, Y Cai, J Liu, B Hooi
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
622020
Predicting urban water quality with ubiquitous data
Y Liu, Y Liang, S Liu, DS Rosenblum, Y Zheng
arXiv preprint arXiv:1610.09462, 2016
53*2016
Spatio-temporal meta learning for urban traffic prediction
Z Pan, W Zhang, Y Liang, W Zhang, Y Yu, J Zhang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering, 2020
522020
Autost: Efficient neural architecture search for spatio-temporal prediction
T Li, J Zhang, K Bao, Y Liang, Y Li, Y Zheng
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
482020
Directed graph convolutional network
Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim
arXiv preprint arXiv:2004.13970, 2020
452020
Inferring traffic cascading patterns
Y Liang, Z Jiang, Y Zheng
Proceedings of the 25th acm sigspatial international conference on advances …, 2017
412017
Mixup for node and graph classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
Proceedings of the Web Conference 2021, 3663-3674, 2021
382021
Digraph inception convolutional networks
Z Tong, Y Liang, C Sun, X Li, D Rosenblum, A Lim
Advances in neural information processing systems 33, 17907-17918, 2020
312020
Learning to generate maps from trajectories
S Ruan, C Long, J Bao, C Li, Z Yu, R Li, Y Liang, T He, Y Zheng
Proceedings of the AAAI conference on artificial intelligence 34 (01), 890-897, 2020
302020
Fine-grained urban flow inference
K Ouyang, Y Liang, Y Liu, Z Tong, S Ruan, D Rosenblum, Y Zheng
IEEE transactions on knowledge and data engineering, 2020
272020
Fine-grained urban flow prediction
Y Liang, K Ouyang, J Sun, Y Wang, J Zhang, Y Zheng, D Rosenblum, ...
Proceedings of the Web Conference 2021, 1833-1845, 2021
222021
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph
Z Pan, S Ke, X Yang, Y Liang, Y Yu, J Zhang, Y Zheng
Proceedings of the Web Conference 2021, 1846-1855, 2021
212021
Graphcrop: Subgraph cropping for graph classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
arXiv preprint arXiv:2009.10564, 2020
212020
Hyperst-net: Hypernetworks for spatio-temporal forecasting
Z Pan, Y Liang, J Zhang, X Yi, Y Yu, Y Zheng
arXiv preprint arXiv:1809.10889, 2018
192018
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