| 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 | 213 | 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 | 147 | 2014 |
| 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 | 107 | 2020 |
| Mining moving patterns for predicting next location M Chen, X Yu, Y Liu Information Systems 54, 156-168, 2015 | 83 | 2015 |
| 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 | 71 | 2022 |
| 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 | 67 | 2020 |
| 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 | 47 | 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 | 44 | 2021 |
| 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 | 44 | 2020 |
| Forecasting fine-grained urban flows via spatio-temporal contrastive self-supervision H Qu, Y Gong, M Chen, J Zhang, Y Zheng, Y Yin IEEE Transactions on Knowledge and Data Engineering 35 (8), 8008-8023, 2022 | 39 | 2022 |
| 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 35 (5), 4514-4526, 2022 | 34 | 2022 |
| 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 | 34 | 2020 |
| MPE: A mobility pattern embedding model for predicting next locations M Chen, X Yu, Y Liu World Wide Web 22 (6), 2901-2920, 2019 | 33 | 2019 |
| 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 | 22 | 2015 |
| 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 | 18 | 2020 |
| Adaptive feature aggregation in deep multi-task convolutional neural networks C Cui, Z Shen, J Huang, M Chen, M Xu, M Wang, Y Yin IEEE Transactions on Circuits and Systems for Video Technology 32 (4), 2133-2144, 2021 | 16 | 2021 |
| City-scale vehicle trajectory data from traffic camera videos F Yu, H Yan, R Chen, G Zhang, Y Liu, M Chen, Y Li Scientific data 10 (1), 711, 2023 | 15 | 2023 |
| Latent evolution model for change point detection in time-varying networks Y Gong, X Dong, J Zhang, M Chen Information Sciences 646, 119376, 2023 | 13 | 2023 |
| Pre-Trained semantic embeddings for POI categories based on multiple contexts J Bing, M Chen, M Yang, W Huang, Y Gong, L Nie IEEE Transactions on Knowledge and Data Engineering 35 (9), 8893-8904, 2022 | 13 | 2022 |
| Tri-branch convolutional neural networks for top-k focused academic performance prediction C Cui, J Zong, Y Ma, X Wang, L Guo, M Chen, Y Yin IEEE Transactions on Neural Networks and Learning Systems 35 (1), 439-450, 2022 | 13 | 2022 |
Xiaohui YuProfessor, York UniversityAdresse e-mail validée de yorku.ca
