Haikun Hong

According to our database1, Haikun Hong authored at least 19 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2019
Collective causal inference with lag estimation.
Neurocomputing, 2019

2018
Temporal Causal Inference with Time Lag.
Neural Comput., 2018

Learning dynamic dependency network structure with time lag.
Sci. China Inf. Sci., 2018

2017
Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data.
Neurocomputing, 2017

2016
Structure Feature Learning Method for Incomplete Data.
Int. J. Pattern Recognit. Artif. Intell., 2016

Using the traffic heterogeneity of Chinese toll highway networks for hierarchical clustering.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

The shortest path or not? Analyzing the ambiguity of path selection in China's toll highway networks.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Hybrid Multi-metric K-Nearest Neighbor Regression for Traffic Flow Prediction.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Improving deep neural network ensembles using reconstruction error.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Incorporating temporal smoothness and group structure in learning with incomplete data.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Short-term traffic flow forecasting: Multi-metric KNN with related station discovery.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning.
IEEE Trans. Intell. Transp. Syst., 2014

Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Dynamic boosting in deep learning using reconstruction error.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Deep process neural network for temporal deep learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Deep Architecture for Traffic Flow Prediction.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013


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