| Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction J Zhang, Y Zheng, D Qi Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence …, 2017 | 715 | 2017 |
| DNN-based prediction model for spatio-temporal data J Zhang, Y Zheng, D Qi, R Li, X Yi Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016 | 291 | 2016 |
| Rough sets based matrix approaches with dynamic attribute variation in set-valued information systems J Zhang, T Li, D Ruan, D Liu International Journal of Approximate Reasoning 53 (4), 620-635, 2012 | 155 | 2012 |
| Composite rough sets for dynamic data mining J Zhang, T Li, H Chen Information Sciences, 2014 | 154 | 2014 |
| Predicting citywide crowd flows using deep spatio-temporal residual networks J Zhang, Y Zheng, D Qi, R Li, X Yi, T Li Artificial Intelligence 259, 147-166, 2018 | 143 | 2018 |
| A fuzzy rough set approach for incremental feature selection on hybrid information systems A Zeng, T Li, D Liu, J Zhang, H Chen Fuzzy Sets and Systems 258, 39-60, 2015 | 135 | 2015 |
| GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. Y Liang, S Ke, J Zhang, X Yi, Y Zheng IJCAI, 3428-3434, 2018 | 131 | 2018 |
| A parallel method for computing rough set approximations J Zhang, T Li, D Ruan, Z Gao, C Zhao Information Sciences, 2012 | 130 | 2012 |
| Neighborhood rough sets for dynamic data mining J Zhang, T Li, D Ruan, D Liu International Journal of Intelligent Systems 27 (4), 317-342, 2012 | 127 | 2012 |
| When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks D Wang, J Zhang, W Cao, J Li, Y Zheng Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 114 | 2018 |
| Deep distributed fusion network for air quality prediction X Yi, J Zhang, Z Wang, T Li, Y Zheng Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 95 | 2018 |
| A parallel matrix-based method for computing approximations in incomplete information systems J Zhang, JS Wong, Y Pan, T Li IEEE Transactions on Knowledge and Data Engineering 27 (2), 326-339, 2014 | 79 | 2014 |
| A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems Y Zhang, Junbo and Wong, Jian-Syuan and Li, Tianrui and Pan International Journal of Approximate Reasoning 55 (3), 896-907, 2014 | 78 | 2014 |
| Incremental updating approximations in probabilistic rough sets under the variation of attributes D Liu, T Li, J Zhang Knowledge-Based Systems 73, 81-96, 2015 | 76 | 2015 |
| Incremental learning optimization on knowledge discovery in dynamic business intelligent systems D Liu, T Li, D Ruan, J Zhang Journal of Global Optimization 51 (2), 325-344, 2011 | 75 | 2011 |
| A rough set-based incremental approach for learning knowledge in dynamic incomplete information systems D Liu, T Li, J Zhang International Journal of Approximate Reasoning 55 (8), 1764-1786, 2014 | 71 | 2014 |
| Flow prediction in spatio-temporal networks based on multitask deep learning J Zhang, Y Zheng, J Sun, D Qi IEEE Transactions on Knowledge and Data Engineering 32 (3), 468-478, 2019 | 61 | 2019 |
| Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning Z Pan, Y Liang, W Wang, Y Yu, Y Zheng, J Zhang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 60 | 2019 |
| Parallel rough set based knowledge acquisition using MapReduce from big data J Zhang, T Li, Y Pan Proceedings of the 1st International Workshop on Big Data, Streams and …, 2012 | 55 | 2012 |
| ST-MVL: Filling Missing Values in Geo-sensory Time Series Data X Yi, Y Zheng, J Zhang, T Li | 51 | 2016 |
Tianrui Li (李天瑞)Professor of School of Information Science and Technology, Southwest Jiaotong universityVerified email at swjtu.edu.cn
