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2010 – 2019
- 2019
[j6]Sizhen Du, Guojie Song, Haikun Hong:
Collective causal inference with lag estimation. Neurocomputing 323: 299-310 (2019)- 2018
- [j5]Sizhen Du, Guojie Song, Haikun Hong, Dong Liu:
Learning dynamic dependency network structure with time lag. Sci. China Inf. Sci. 61(5): 052101:1-052101:16 (2018) - [j4]Sizhen Du, Guojie Song, Lei Han, Haikun Hong:
Temporal Causal Inference with Time Lag. Neural Comput. 30(1) (2018) - 2017
- [j3]Xiabing Zhou
, Haikun Hong, Xingxing Xing, Kaigui Bian, Kunqing Xie, Mingliang Xu:
Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data. Neurocomputing 259: 76-84 (2017) - 2016
- [j2]Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie:
Structure Feature Learning Method for Incomplete Data. Int. J. Pattern Recognit. Artif. Intell. 30(9): 1660007:1-1660007:19 (2016) - [c13]Shi Fang, Kaigui Bian, Kunqing Xie, Dongxiao Cui, Haikun Hong:
The shortest path or not? Analyzing the ambiguity of path selection in China's toll highway networks. ITSC 2016: 1964-1969 - [c12]Shi Fang, Kaigui Bian, Haikun Hong, Kunqing Xie, Yuwen Fu:
Using the traffic heterogeneity of Chinese toll highway networks for hierarchical clustering. TAAI 2016: 90-95 - 2015
- [c11]Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie:
Incorporating temporal smoothness and group structure in learning with incomplete data. FSKD 2015: 1055-1060 - [c10]Haikun Hong, Wenhao Huang, Xiabing Zhou, Sizhen Du, Kaigui Bian, Kunqing Xie:
Short-term traffic flow forecasting: Multi-metric KNN with related station discovery. FSKD 2015: 1670-1675 - [c9]Haikun Hong, Xiabing Zhou, Wenhao Huang, Xingxing Xing, Fei Chen, Yu Lei, Kaigui Bian, Kunqing Xie:
Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction. ICMLA 2015: 1007-1012 - [c8]Wenhao Huang, Haikun Hong, Kaigui Bian, Xiabing Zhou, Guojie Song, Kunqing Xie:
Improving deep neural network ensembles using reconstruction error. IJCNN 2015: 1-7 - [c7]Xingxing Xing, Xiabing Zhou, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie:
Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis. ITSC 2015: 2219-2224 - [c6]Haikun Hong, Wenhao Huang, Xingxing Xing, Xiabing Zhou, Hongyu Lu, Kaigui Bian, Kunqing Xie:
Hybrid Multi-metric K-Nearest Neighbor Regression for Traffic Flow Prediction. ITSC 2015: 2262-2267 - [c5]Xiabing Zhou, Haikun Hong, Xingxing Xing, Wenhao Huang, Kaigui Bian, Kunqing Xie:
Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data. WAIM 2015: 285-296 - 2014
- [j1]Wenhao Huang, Guojie Song, Haikun Hong, Kunqing Xie:
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning. IEEE Trans. Intell. Transp. Syst. 15(5): 2191-2201 (2014) - [c4]Wenhao Huang, Haikun Hong, Guojie Song, Kunqing Xie:
Deep process neural network for temporal deep learning. IJCNN 2014: 465-472 - [c3]Wenhao Huang, Ni Zhang, Weisong Hu, Haikun Hong, Guojie Song, Kunqing Xie:
Dynamic boosting in deep learning using reconstruction error. IJCNN 2014: 473-480 - [c2]Haikun Hong, Wenhao Huang, Guojie Song, Kunqing Xie:
Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting. ISNN 2014: 499-507 - 2013
- [c1]Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie:
Deep Architecture for Traffic Flow Prediction. ADMA (2) 2013: 165-176
Coauthor Index
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