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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
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
5302018
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
5092019
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
2292016
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
2002020
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
1822020
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
1592021
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
1422020
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
1382023
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
1262020
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
1222019
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, 2023
1072023
Directed graph convolutional network
Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim
arXiv preprint arXiv:2004.13970, 2020
1012020
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
842020
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
802020
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
752021
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
712021
Predicting urban water quality with ubiquitous data-a data-driven approach
Y Liu, Y Liang, K Ouyang, S Liu, DS Rosenblum, Y Zheng
IEEE Transactions on Big Data 8 (2), 564-578, 2020
71*2020
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
702022
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
682020
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
572023
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