| Variational deep embedding: An unsupervised and generative approach to clustering Z Jiang, Y Zheng, H Tan, B Tang, H Zhou International Joint Conference on Artificial Intelligence (IJCAI-2017), 2016 | 875 | 2016 |
| A hybrid deep learning based traffic flow prediction method and its understanding Y Wu, H Tan, L Qin, B Ran, Z Jiang Transportation Research Part C: Emerging Technologies 90, 166-180, 2018 | 820 | 2018 |
| Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space H Tan, H Zhang, J Peng, Z Jiang, Y Wu Energy Conversion and Management 195, 548-560, 2019 | 166 | 2019 |
| Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model Q Li, H Tan, Z Jiang, Y Wu, L Ye Neurocomputing 430, 138-149, 2021 | 20 | 2021 |
| Nonparametric topic modeling with neural inference X Ning, Y Zheng, Z Jiang, Y Wang, H Yang, J Huang, P Zhao Neurocomputing 399, 296-306, 2020 | 17 | 2020 |
| ES-CTC: A deep neuroevolution model for cooperative intelligent freeway traffic control Y Wu, H Tan, Z Jiang, B Ran arXiv preprint arXiv:1905.04083, 2019 | 14 | 2019 |
| A generalized locally linear factorization machine with supervised variational encoding X Chen, Y Zheng, P Zhao, Z Jiang, W Ma, J Huang IEEE Transactions on Knowledge and Data Engineering 32 (6), 1036-1049, 2019 | 8 | 2019 |
| An Attention‐Based Model for Travel Energy Consumption of Electric Vehicle with Traffic Information S Li, H Zhang, H Tan, Z Zhong, Z Jiang Advances in Civil Engineering 2021 (1), 5571271, 2021 | 7 | 2021 |
