Haikun Hong

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 14

Top Topics

Incomplete Data

Causal Inference

Top Venues

Publications

Sizhen Du, Guojie Song, Haikun Hong
Collective causal inference with lag estimation. Neurocomputing 323 (2019)
Sizhen Du, Guojie Song, Lei Han, Haikun Hong
Temporal Causal Inference with Time Lag. Neural Comput. 30 (1) (2018)
Sizhen Du, Guojie Song, Haikun Hong, Dong Liu
Learning dynamic dependency network structure with time lag. Sci. China Inf. Sci. 61 (5) (2018)
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 (2017)
Shi Fang, Kaigui Bian, Haikun Hong, Kunqing Xie, Yuwen Fu
Using the traffic heterogeneity of Chinese toll highway networks for hierarchical clustering. TAAI (2016)
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)
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) (2016)
Wenhao Huang, Haikun Hong, Kaigui Bian, Xiabing Zhou, Guojie Song, Kunqing Xie
Improving deep neural network ensembles using reconstruction error. IJCNN (2015)
Xiabing Zhou, Haikun Hong, Xingxing Xing, Wenhao Huang, Kaigui Bian, Kunqing Xie
Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data. WAIM (2015)
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)
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)
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)
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)
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)
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) (2014)
Wenhao Huang, Haikun Hong, Guojie Song, Kunqing Xie
Deep process neural network for temporal deep learning. IJCNN (2014)
Wenhao Huang, Ni Zhang, Weisong Hu, Haikun Hong, Guojie Song, Kunqing Xie
Dynamic boosting in deep learning using reconstruction error. IJCNN (2014)
Haikun Hong, Wenhao Huang, Guojie Song, Kunqing Xie
Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting. ISNN (2014)
Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie
Deep Architecture for Traffic Flow Prediction. ADMA (2) (2013)