| Deep architecture for traffic flow prediction: Deep belief networks with multitask learning W Huang, G Song, H Hong, K Xie IEEE Transactions on Intelligent Transportation Systems 15 (5), 2191-2201, 2014 | 1410 | 2014 |
| Deep architecture for traffic flow prediction W Huang, H Hong, M Li, W Hu, G Song, K Xie International conference on advanced data mining and applications, 165-176, 2013 | 45 | 2013 |
| Traffic flow decomposition and prediction based on robust principal component analysis X Xing, X Zhou, H Hong, W Huang, K Bian, K Xie 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 36 | 2015 |
| Hybrid multi-metric K-nearest neighbor regression for traffic flow prediction H Hong, W Huang, X Xing, X Zhou, H Lu, K Bian, K Xie 2015 IEEE 18th international conference on intelligent transportation …, 2015 | 26 | 2015 |
| Deep process neural network for temporal deep learning W Huang, H Hong, G Song, K Xie 2014 International Joint Conference on Neural Networks (IJCNN), 465-472, 2014 | 25 | 2014 |
| Temporal causal inference with time lag S Du, G Song, L Han, H Hong Neural computation 30 (1), 271-291, 2017 | 23 | 2017 |
| Short-term traffic flow forecasting: Multi-metric KNN with related station discovery H Hong, W Huang, X Zhou, S Du, K Bian, K Xie 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery …, 2015 | 21 | 2015 |
| Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data X Zhou, H Hong, X Xing, K Bian, K Xie, M Xu Neurocomputing 259, 76-84, 2017 | 19 | 2017 |
| Improving deep neural network ensembles using reconstruction error W Huang, H Hong, K Bian, X Zhou, G Song, K Xie 2015 International joint conference on neural networks (IJCNN), 1-7, 2015 | 15 | 2015 |
| Collective causal inference with lag estimation S Du, G Song, H Hong Neurocomputing 323, 299-310, 2019 | 12 | 2019 |
| Metric-based multi-task grouping neural network for traffic flow forecasting H Hong, W Huang, G Song, K Xie International symposium on neural networks, 499-507, 2014 | 9 | 2014 |
| Dynamic boosting in deep learning using reconstruction error W Huang, N Zhang, W Hu, H Hong, G Song, K Xie 2014 International joint conference on neural networks (IJCNN), 473-480, 2014 | 8 | 2014 |
| Web Data Extraction Based on Tree Structure Analysis and Template Generation H Hong, X Chen, G Wu, J Li 2010 International Conference on E-Product E-Service and E-Entertainment, 1-5, 2010 | 8 | 2010 |
| Learning common metrics for homogenous tasks in traffic flow prediction H Hong, X Zhou, W Huang, X Xing, F Chen, Y Lei, K Bian, K Xie 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 7 | 2015 |
| The shortest path or not? Analyzing the ambiguity of path selection in China's toll highway networks S Fang, K Bian, K Xie, D Cui, H Hong 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 6 | 2016 |
| Mining dependencies considering time lag in spatio-temporal traffic data X Zhou, H Hong, X Xing, W Huang, K Bian, K Xie International Conference on Web-Age Information Management, 285-296, 2015 | 6 | 2015 |
| Structure feature learning method for incomplete data X Zhou, X Xing, L Han, H Hong, K Bian, K Xie International Journal of Pattern Recognition and Artificial Intelligence 30 …, 2016 | 5 | 2016 |
| Learning dynamic dependency network structure with time lag S Du, G Song, H Hong, D Liu Science China Information Sciences 61 (5), 052101, 2018 | 4 | 2018 |
| Using the traffic heterogeneity of Chinese toll highway networks for hierarchical clustering S Fang, K Bian, H Hong, K Xie, Y Fu 2016 Conference on Technologies and Applications of Artificial Intelligence …, 2016 | 1 | 2016 |
| Discovering Latent Dependence of Large Volatility Events H Hong, S Du The International Conference on Natural Computation, Fuzzy Systems and …, 2020 | | 2020 |
Guojie SongProfessor (Research), Tenured of Peking UniversityVerified email at pku.edu.cn
