| 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 | 207 | 2021 |
| 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 | 191 | 2020 |
| 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 | 166 | 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 | 109 | 2023 |
| 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 | 90 | 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 | 76 | 2021 |
| Graphcrop: Subgraph cropping for graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi arXiv preprint arXiv:2009.10564, 2020 | 62 | 2020 |
| 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 | 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 | 58 | 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 | 58 | 2021 |
| 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 | 49 | 2019 |
| Modeling Trajectories with Neural Ordinary Differential Equations. Y Liang, K Ouyang, H Yan, Y Wang, Z Tong, R Zimmermann IJCAI, 1498-1504, 2021 | 48 | 2021 |
| 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 | 46 | 2022 |
| 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 | 46 | 2021 |
| 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 | 27 | 2023 |
| Primacy effect of chatgpt Y Wang, Y Cai, M Chen, Y Liang, B Hooi arXiv preprint arXiv:2310.13206, 2023 | 26 | 2023 |
| 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 35 (9), 9254-9268, 2022 | 23 | 2022 |
| 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 | 22 | 2020 |
| Deepedit: Knowledge editing as decoding with constraints Y Wang, M Chen, N Peng, KW Chang arXiv preprint arXiv:2401.10471, 2024 | 19 | 2024 |
| Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts B Bi, S Liu, L Mei, Y Wang, P Ji, X Cheng arXiv preprint arXiv:2405.11613, 2024 | 12 | 2024 |
Bryan HooiNational University of SingaporeVerified email at comp.nus.edu.sg