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Yiwei Wang
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Learning progressive joint propagation for human motion prediction
Y Cai, L Huang, Y Wang, TJ Cham, J Cai, J Yuan, J Liu, X Yang, Y Zhu, ...
European Conference on Computer Vision, 226-242, 2020
522020
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
472020
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
272021
Optimization algorithms for graph laplacian estimation via admm and mm
L Zhao, Y Wang, S Kumar, DP Palomar
IEEE Transactions on Signal Processing 67 (16), 4231-4244, 2019
202019
Graphcrop: Subgraph cropping for graph classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
arXiv preprint arXiv:2009.10564, 2020
192020
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
142021
Provably robust node classification via low-pass message passing
Y Wang, S Liu, M Yoon, H Lamba, W Wang, C Faloutsos, B Hooi
2020 IEEE International Conference on Data Mining (ICDM), 621-630, 2020
112020
Curgraph: Curriculum learning for graph classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
Proceedings of the Web Conference 2021, 1238-1248, 2021
102021
A unified 3d human motion synthesis model via conditional variational auto-encoder
Y Cai, Y Wang, Y Zhu, TJ Cham, J Cai, J Yuan, J Liu, C Zheng, S Yan, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
102021
Revisiting convolutional neural networks for citywide crowd flow analytics
Y Liang, K Ouyang, Y Wang, Y Liu, J Zhang, Y Zheng, DS Rosenblum
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
102020
Detecting implementation bugs in graph convolutional network based node classifiers
Y Wang, W Wang, Y Ca, B Hooi, BC Ooi
2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020
62020
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
52021
Active learning for node classification: The additional learning ability from unlabelled nodes
J Liu, Y Wang, B Hooi, R Yang, X Xiao
arXiv preprint arXiv:2012.07065, 2020
42020
Progressive supervision for node classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
42020
Eignn: Efficient infinite-depth graph neural networks
J Liu, K Kawaguchi, B Hooi, Y Wang, X Xiao
Advances in Neural Information Processing Systems 34, 18762-18773, 2021
32021
Revisiting convolutional neural networks for urban flow analytics
Y Liang, K Ouyang, Y Wang, DS Rosenblum
22020
Using knowledge graphs to explain entity co-occurrence in Twitter
Y Wang, MJ Carman, YF Li
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
22017
Time-Aware Neighbor Sampling for Temporal Graph Networks
Y Wang, Y Cai, Y Liang, H Ding, C Wang, B Hooi
arXiv preprint arXiv:2112.09845, 2021
2021
Structure-Aware Label Smoothing for Graph Neural Networks
Y Wang, Y Cai, Y Liang, W Wang, H Ding, M Chen, J Tang, B Hooi
arXiv preprint arXiv:2112.00499, 2021
2021
Modeling Trajectories with Neural Ordinary Differential Equations.
Y Liang, K Ouyang, H Yan, Y Wang, Z Tong, R Zimmermann
IJCAI, 1498-1504, 2021
2021
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