Követés
Meng Chen 陈勐
Meng Chen 陈勐
Associate Professor of Computer Science, Shandong University
E-mail megerősítve itt: sdu.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
1882018
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
1382014
Mining moving patterns for predicting next location
M Chen, X Yu, Y Liu
Information Systems 54, 156-168, 2015
782015
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
742020
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
522020
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
462015
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
352022
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
332021
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
302020
MPE: A mobility pattern embedding model for predicting next locations
M Chen, X Yu, Y Liu
World Wide Web 22 (6), 2901-2920, 2019
282019
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
232022
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
222015
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
212020
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, 2022
162022
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
142017
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
132020
Mining object similarity for predicting next locations
M Chen, X Yu, Y Liu
Journal of Computer Science and Technology 31, 649-660, 2016
112016
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
92019
PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data
T Sun, K Zhao, C Zhang, M Chen, X Yu
Information Sciences 589, 34-45, 2022
82022
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
82017
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