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Yuxuan Liang
Yuxuan Liang
Assistant Professor, Hong Kong University of Science and Technology (Guangzhou)
Verified email at hkust-gz.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
6072019
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
5882018
Time-llm: Time series forecasting by reprogramming large language models
M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ...
ICLR 2024, 2023
5072023
Spatio-temporal graph neural networks for predictive learning in urban computing: A survey
G Jin, Y Liang, Y Fang, Z Shao, J Huang, J Zhang, Y Zheng
IEEE Transactions on Knowledge and Data Engineering 36 (10), 5388-5408, 2023
2522023
Urban water quality prediction based on multi-task multi-view learning
Y Liu, Y Zheng, Y Liang, S Liu, DS Rosenblum
Proceedings of the 25th international joint conference on artificial …, 2016
2422016
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
2402020
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
2162021
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
2092020
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
1672020
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
1502020
Self-supervised learning for time series analysis: Taxonomy, progress, and prospects
K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, JY Zhang, Y Liang, ...
IEEE transactions on pattern analysis and machine intelligence, 2024
1482024
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
1462019
Directed graph convolutional network
Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim
arXiv preprint arXiv:2004.13970, 2020
1432020
Multi-behavior hypergraph-enhanced transformer for sequential recommendation
Y Yang, C Huang, L Xia, Y Liang, Y Yu, C Li
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
1352022
Large models for time series and spatio-temporal data: A survey and outlook
M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ...
arXiv preprint arXiv:2310.10196, 2023
1272023
Foundation models for time series analysis: A tutorial and survey
Y Liang, H Wen, Y Nie, Y Jiang, M Jin, D Song, S Pan, Q Wen
Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and …, 2024
1192024
Airformer: Predicting nationwide air quality in china with transformers
Y Liang, Y Xia, S Ke, Y Wang, Q Wen, J Zhang, Y Zheng, R Zimmermann
Proceedings of the AAAI conference on artificial intelligence 37 (12), 14329 …, 2023
1182023
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
1092020
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
1042020
Largest: A benchmark dataset for large-scale traffic forecasting
X Liu, Y Xia, Y Liang, J Hu, Y Wang, L Bai, C Huang, Z Liu, B Hooi, ...
Advances in Neural Information Processing Systems 36, 2023
992023
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