| D-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios Z Che, G Li, T Li, B Jiang, X Shi, X Zhang, Y Lu, G Wu, Y Liu, J Ye arXiv preprint arXiv:1904.01975, 2019 | 81 | 2019 |
| Hierarchical deep generative models for multi-rate multivariate time series Z Che, S Purushotham, G Li, B Jiang, Y Liu International Conference on Machine Learning, 784-793, 2018 | 59 | 2018 |
| A pilot study in using deep learning to predict limited life expectancy in women with recurrent cervical cancer K Matsuo, S Purushotham, A Moeini, G Li, H Machida, Y Liu, LD Roman American Journal of Obstetrics & Gynecology 217 (6), 703-705, 2017 | 30 | 2017 |
| Generative attention networks for multi-agent behavioral modeling G Li, B Jiang, H Zhu, Z Che, Y Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7195-7202, 2020 | 25 | 2020 |
| Coupled learning enabled stochastic programming with endogenous uncertainty J Liu, G Li, S Sen Mathematics of Operations Research 47 (2), 1681-1705, 2022 | 19 | 2022 |
| Jieping Ye. D 2-city: A large-scale dashcam video dataset of diverse traffic scenarios Z Che, G Li, T Li, B Jiang, X Shi, X Zhang, Y Lu, G Wu, Y Liu arXiv preprint arXiv:1904.01975 4, 2019 | 6 | 2019 |
| Robomind: Benchmark on multi-embodiment intelligence normative data for robot manipulation K Wu, C Hou, J Liu, Z Che, X Ju, Z Yang, M Li, Y Zhao, Z Xu, G Yang, ... arXiv preprint arXiv:2412.13877, 2024 | 2 | 2024 |
| Personalized and Environment-Aware Battery Prediction for Electric Vehicles D Li, G Li, B Jiang, Z Che, Y Liu | | 2021 |
