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Yiwei Wang
Yiwei Wang
Подтвержден адрес электронной почты в домене g.ucla.edu - Главная страница
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Процитировано
Год
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
1382021
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, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1372020
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
1292020
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
622021
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
582021
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
452021
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
452021
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
452021
Graphcrop: Subgraph cropping for graph classification
Y Wang, W Wang, Y Liang, Y Cai, B Hooi
arXiv preprint arXiv:2009.10564, 2020
432020
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
402019
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
372023
Should we rely on entity mentions for relation extraction? debiasing relation extraction with counterfactual analysis
Y Wang, M Chen, W Zhou, Y Cai, Y Liang, D Liu, B Yang, J Liu, B Hooi
arXiv preprint arXiv:2205.03784, 2022
282022
Modeling Trajectories with Neural Ordinary Differential Equations.
Y Liang, K Ouyang, H Yan, Y Wang, Z Tong, R Zimmermann
IJCAI, 1498-1504, 2021
262021
Revisiting convolutional neural networks for citywide crowd flow analytics
Y Liang, K Ouyang, Y Wang, Y Liu, J Zhang, Y Zheng, DS Rosenblum
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
242021
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
172020
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
102020
Mixed-order relation-aware recurrent neural networks for spatio-temporal forecasting
Y Liang, K Ouyang, Y Wang, Z Pan, Y Yin, H Chen, J Zhang, Y Zheng, ...
IEEE Transactions on Knowledge and Data Engineering, 2022
92022
A causal view of entity bias in (large) language models
F Wang, W Mo, Y Wang, W Zhou, M Chen
arXiv preprint arXiv:2305.14695, 2023
82023
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
82020
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
72021
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