| Adversarial sparse transformer for time series forecasting S Wu, X Xiao, Q Ding, P Zhao, Y Wei, J Huang Advances in neural information processing systems 33, 17105-17115, 2020 | 203 | 2020 |
| Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction Q Ding, S Wu, H Sun, J Guo, J Guo Proceedings of the 29th International Joint Conference on Artificial …, 2020 | 172 | 2020 |
| Retroxpert: Decompose retrosynthesis prediction like a chemist C Yan, Q Ding, P Zhao, S Zheng, J Yang, Y Yu, J Huang Advances in Neural Information Processing Systems 33, 2020 | 105 | 2020 |
| Adaptive regularization of labels Q Ding, S Wu, H Sun, J Guo, ST Xia arXiv preprint arXiv:1908.05474, 2019 | 33 | 2019 |
| Knowledge refinery: Learning from decoupled label Q Ding, S Wu, T Dai, H Sun, J Guo, ZH Fu, S Xia Proceedings of the AAAI conference on artificial intelligence 35 (8), 7228-7235, 2021 | 13 | 2021 |
| Multi-level recognition on falls from activities of daily living J Li, ST Xia, Q Ding Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020 | 8 | 2020 |
| Rt-adi: Fast real-time video representation for multi-view human fall detection Q Ding, F Yang, J Li, S Wu, B Zhao, Z Wang, ST Xia 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 13-18, 2019 | 5 | 2019 |
| Adaptive regularization of labels. arXiv Q Ding, S Wu, H Sun, J Guo, ST Xia arXiv preprint arXiv:1908.05474, 2019 | 4 | 2019 |
| DASFormer: Self-supervised Pretraining for Earthquake Monitoring Q Ding, Z Shen, W Zhu, B Liu | | 2023 |
| GPN: A Joint Structural Learning Framework for Graph Neural Networks Q Ding, D Ye, T Xu, P Zhao arXiv preprint arXiv:2205.05964, 2022 | | 2022 |
