Yuxuan Liang
Title
Cited by
Cited by
Year
Urban water quality prediction based on multi-task multi-view learning
Y Liu, Y Zheng, Y Liang, S Liu, DS Rosenblum
IJCAI 2016, 2016
1672016
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
802018
Predicting urban water quality with ubiquitous data
Y Liu, Y Liang, S Liu, DS Rosenblum, Y Zheng
arXiv preprint arXiv:1610.09462, 2016
42*2016
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
182019
Inferring traffic cascading patterns
Y Liang, Z Jiang, Y Zheng
Proceedings of the 25th acm sigspatial international conference on advances …, 2017
162017
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
112019
Urban water quality prediction based on multi-task multi-view learning.(2016)
Y Liu, Y Zheng, Y Liang, S Liu, DS Rosenblum
Google Scholar Google Scholar Digital Library Digital Library, 2016
92016
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
52018
Federated forest
Y Liu, Y Liu, Z Liu, Y Liang, C Meng, J Zhang, Y Zheng
IEEE Transactions on Big Data, 2020
32020
Learning to generate maps from trajectories
S Ruan, C Long, J Bao, C Li, Z Yu, R Li, Y Liang, T He, Y Zheng
AAAI, 2020
32020
Fine-Grained Urban Flow Inference
K Ouyang, Y Liang, Y Liu, Z Tong, S Ruan, Y Zheng, DS Rosenblum
arXiv preprint arXiv:2002.02318, 2020
12020
Learning multi-objective rewards and user utility function in contextual bandits for personalized ranking
N Wanigasekara, Y Liang, ST Goh, Y Liu, JJ Williams, DS Rosenblum
Proceedings of the 28th International Joint Conference on Artificial …, 2019
12019
Directed Graph Convolutional Network
Z Tong, Y Liang, C Sun, DS Rosenblum, A Lim
arXiv preprint arXiv:2004.13970, 2020
2020
Dynamic Public Resource Allocation Based on Human Mobility Prediction
S Ruan, J Bao, Y Liang, R Li, T He, C Meng, Y Li, Y Wu, Y Zheng
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020
2020
Revisiting Convolutional Neural Networks for Urban Flow Analytics
Y Liang, K Ouyang, J Zhang, Y Zheng, DS Rosenblum
arXiv preprint arXiv:2003.00895, 2020
2020
Predicting Urban Water Quality with Ubiquitous Data-A Data-driven Approach
Y Liu, Y Liang, K Ouyang, S Liu, D Rosenblum, Y Zheng
IEEE Transactions on Big Data, 2020
2020
Unsupervised Learning of Disentangled Location Embeddings
K Ouyang, Y Liang, Y Liu, DS Rosenblum, W Yang
International Joint Conference on Neural Networks, 2020
2020
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Articles 1–17