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 | 144 | 2020 |
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 | 143 | 2021 |
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 | 136 | 2020 |
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 | 68 | 2021 |
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 | 61 | 2021 |
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 | 48 | 2021 |
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 | 47 | 2021 |
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 | 46 | 2021 |
Graphcrop: Subgraph cropping for graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi arXiv preprint arXiv:2009.10564, 2020 | 45 | 2020 |
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 | 44 | 2023 |
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 | 42 | 2019 |
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 | 34 | 2022 |
Modeling Trajectories with Neural Ordinary Differential Equations. Y Liang, K Ouyang, H Yan, Y Wang, Z Tong, R Zimmermann IJCAI, 1498-1504, 2021 | 31 | 2021 |
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 | 27 | 2021 |
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 | 17 | 2020 |
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 | 11 | 2022 |
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 | 10 | 2020 |
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 | 9 | 2020 |
Dangling-aware entity alignment with mixed high-order proximities J Liu, Z Sun, B Hooi, Y Wang, D Liu, B Yang, X Xiao, M Chen arXiv preprint arXiv:2205.02406, 2022 | 8 | 2022 |
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 | 7 | 2023 |