Obserwuj
Yuxuan Liang
Tytuł
Cytowane przez
Cytowane przez
Rok
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
3802018
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
2942019
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
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 34 (5), 2348-2359, 2020
1132020
Federated forest
Y Liu, Y Liu, Z Liu, Y Liang, C Meng, J Zhang, Y Zheng
IEEE Transactions on Big Data 8 (3), 843-854, 2020
1132020
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
822019
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
722020
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 34 (3), 1462-1476, 2020
642020
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
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
492021
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
492020
Directed graph convolutional network
Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim
arXiv preprint arXiv:2004.13970, 2020
482020
Inferring traffic cascading patterns
Y Liang, Z Jiang, Y Zheng
Proceedings of the 25th acm sigspatial international conference on advances …, 2017
422017
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
372020
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
312020
Fine-grained urban flow inference
K Ouyang, Y Liang, Y Liu, Z Tong, S Ruan, Y Zheng, DS Rosenblum
IEEE transactions on knowledge and data engineering 34 (6), 2755-2770, 2020
282020
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
252021
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
252021
Graphcrop: Subgraph cropping for graph classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
arXiv preprint arXiv:2009.10564, 2020
252020
Adaptive data augmentation on temporal graphs
Y Wang, Y Cai, Y Liang, H Ding, C Wang, S Bhatia, B Hooi
Advances in Neural Information Processing Systems 34, 1440-1452, 2021
212021
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20