| Deepstn+: Context-aware spatial-temporal neural network for crowd flow prediction in metropolis Z Lin, J Feng, Z Lu, Y Li, D Jin Proceedings of the AAAI conference on artificial intelligence 33 (01), 1020-1027, 2019 | 168 | 2019 |
| Mood: Multi-level out-of-distribution detection Z Lin, SD Roy, Y Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 70 | 2021 |
| A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling J Feng, Z Lin, T Xia, F Sun, D Guo, Y Li | 18 | 2020 |
| Lift: Language-interfaced fine-tuning for non-language machine learning tasks T Dinh, Y Zeng, R Zhang, Z Lin, M Gira, S Rajput, J Sohn, ... Advances in Neural Information Processing Systems 35, 11763-11784, 2022 | 12 | 2022 |
| Context-aware spatial-temporal neural network for citywide crowd flow prediction via modeling long-range spatial dependency J Feng, Y Li, Z Lin, C Rong, F Sun, D Guo, D Jin ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-21, 2021 | 5 | 2021 |
