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Haikun Hong
Haikun Hong
Assistant Researcher, Institute of Electronics, Chinese Academy of Sciences
Bestätigte E-Mail-Adresse bei pku.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
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
12772014
Deep architecture for traffic flow prediction
W Huang, H Hong, M Li, W Hu, G Song, K Xie
Advanced Data Mining and Applications: 9th International Conference, ADMA …, 2013
432013
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
362015
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
252014
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
232015
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
202015
Temporal causal inference with time lag
S Du, G Song, L Han, H Hong
Neural computation 30 (1), 271-291, 2017
182017
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
172017
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
132015
Collective causal inference with lag estimation
S Du, G Song, H Hong
Neurocomputing 323, 299-310, 2019
92019
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
82014
Metric-based multi-task grouping neural network for traffic flow forecasting
H Hong, W Huang, G Song, K Xie
Advances in Neural Networks–ISNN 2014: 11th International Symposium on …, 2014
82014
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
82010
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
62015
Mining dependencies considering time lag in spatio-temporal traffic data
X Zhou, H Hong, X Xing, W Huang, K Bian, K Xie
Web-Age Information Management: 16th International Conference, WAIM 2015 …, 2015
62015
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
52016
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
42016
Learning dynamic dependency network structure with time lag
S Du, G Song, H Hong, D Liu
Science China Information Sciences 61, 1-16, 2018
32018
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
12016
Discovering Latent Dependence of Large Volatility Events
H Hong, S Du
The International Conference on Natural Computation, Fuzzy Systems and …, 2020
2020
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