| PCNN: Deep convolutional networks for short-term traffic congestion prediction M Chen, X Yu, Y Liu IEEE Transactions on Intelligent Transportation Systems 19 (11), 3550-3559, 2018 | 139 | 2018 |
| Nlpmm: A next location predictor with markov modeling M Chen, Y Liu, X Yu Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014 | 118 | 2014 |
| Mining moving patterns for predicting next location M Chen, X Yu, Y Liu Information Systems 54, 156-168, 2015 | 74 | 2015 |
| Predicting next locations with object clustering and trajectory clustering M Chen, Y Liu, X Yu Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 46 | 2015 |
| Normality learning in multispace for video anomaly detection Y Zhang, X Nie, R He, M Chen, Y Yin IEEE Transactions on Circuits and Systems for Video Technology 31 (9), 3694-3706, 2020 | 40 | 2020 |
| Eating healthier: Exploring nutrition information for healthier recipe recommendation M Chen, X Jia, E Gorbonos, CT Hoang, X Yu, Y Liu Information Processing & Management 57 (6), 102051, 2020 | 34 | 2020 |
| MPE: A mobility pattern embedding model for predicting next locations M Chen, X Yu, Y Liu World Wide Web 22, 2901-2920, 2019 | 25 | 2019 |
| CEM: A convolutional embedding model for predicting next locations M Chen, Y Zuo, X Jia, Y Liu, X Yu, K Zheng IEEE Transactions on Intelligent Transportation Systems 22 (6), 3349-3358, 2020 | 21 | 2020 |
| A plane moving average algorithm for short-term traffic flow prediction L Lv, M Chen, Y Liu, X Yu Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 21 | 2015 |
| Missing data imputation for traffic congestion data based on joint matrix factorization X Jia, X Dong, M Chen, X Yu Knowledge-Based Systems 225, 107114, 2021 | 17 | 2021 |
| Modeling spatial trajectories with attribute representation learning M Chen, Y Zhao, Y Liu, X Yu, K Zheng IEEE transactions on knowledge and data engineering 34 (4), 1902-1914, 2020 | 17 | 2020 |
| Estimating urban functional distributions with semantics preserved POI embedding W Huang, L Cui, M Chen, D Zhang, Y Yao International Journal of Geographical Information Science 36 (10), 1905-1930, 2022 | 12 | 2022 |
| Weighted co-training for cross-domain image sentiment classification M Chen, LL Zhang, X Yu, Y Liu Journal of Computer Science and Technology 32, 714-725, 2017 | 12 | 2017 |
| Behavior-driven student performance prediction with tri-branch convolutional neural network J Zong, C Cui, Y Ma, L Yao, M Chen, Y Yin Proceedings of the 29th ACM International Conference on Information …, 2020 | 11 | 2020 |
| Mining object similarity for predicting next locations M Chen, X Yu, Y Liu Journal of Computer Science and Technology 31, 649-660, 2016 | 11 | 2016 |
| Beyond the limits of predictability in human mobility prediction: context-transition predictability C Zhang, K Zhao, M Chen IEEE Transactions on Knowledge and Data Engineering, 2022 | 10 | 2022 |
| TraLFM: Latent factor modeling of traffic trajectory data M Chen, X Yu, Y Liu IEEE Transactions on Intelligent Transportation Systems 20 (12), 4624-4634, 2019 | 7 | 2019 |
| LCE: A location category embedding model for predicting the category labels of POIs Y Wang, M Chen, X Yu, Y Liu Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 6 | 2017 |
| PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks T Dai, B Li, Z Yu, X Tong, M Chen, G Chen ACM Transactions on Intelligent Systems and Technology (TIST) 12 (6), 1-24, 2021 | 4 | 2021 |
| Embedding hierarchical structures for venue category representation M Chen, L Zhu, R Xu, Y Liu, X Yu, Y Yin ACM Transactions on Information Systems (TOIS) 40 (3), 1-29, 2021 | 4 | 2021 |
Xiaohui YuAssociate Professor, York UniversityVerified email at yorku.ca
