Haikun Hong - RankMe

19 papers B 3C 2Journal 6Unranked 8

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Collective causal inference with lag estimation. Neurocomputing Sizhen Du, Guojie Song, Haikun Hong
2018	J	`jnl`	Learning dynamic dependency network structure with time lag. Sci. China Inf. Sci. Sizhen Du, Guojie Song, Haikun Hong, Dong Liu
2018	J	`jnl`	Temporal Causal Inference with Time Lag. Neural Comput. Sizhen Du, Guojie Song, Lei Han, Haikun Hong
2017	J	`jnl`	Discovering spatio-temporal dependencies based on time-lag in intelligent transportation data. Neurocomputing Xiabing Zhou, Haikun Hong, Xingxing Xing, Kaigui Bian, Kunqing Xie, Mingliang Xu
2016	J	`jnl`	Structure Feature Learning Method for Incomplete Data. Int. J. Pattern Recognit. Artif. Intell. Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie
2016	—	`conf`	The shortest path or not? Analyzing the ambiguity of path selection in China's toll highway networks. ITSC Shi Fang, Kaigui Bian, Kunqing Xie, Dongxiao Cui, Haikun Hong
2016	—	`conf`	Using the traffic heterogeneity of Chinese toll highway networks for hierarchical clustering. TAAI Shi Fang, Kaigui Bian, Haikun Hong, Kunqing Xie, Yuwen Fu
2015	—	`conf`	Hybrid Multi-metric K-Nearest Neighbor Regression for Traffic Flow Prediction. ITSC Haikun Hong, Wenhao Huang, Xingxing Xing, Xiabing Zhou, Hongyu Lu, Kaigui Bian, Kunqing Xie
2015	B	`conf`	Improving deep neural network ensembles using reconstruction error. IJCNN Wenhao Huang, Haikun Hong, Kaigui Bian, Xiabing Zhou, Guojie Song, Kunqing Xie
2015	—	`conf`	Incorporating temporal smoothness and group structure in learning with incomplete data. FSKD Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie
2015	C	`conf`	Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction. ICMLA Haikun Hong, Xiabing Zhou, Wenhao Huang, Xingxing Xing, Fei Chen, Yu Lei, Kaigui Bian, Kunqing Xie
2015	—	`conf`	Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data. WAIM Xiabing Zhou, Haikun Hong, Xingxing Xing, Wenhao Huang, Kaigui Bian, Kunqing Xie
2015	—	`conf`	Short-term traffic flow forecasting: Multi-metric KNN with related station discovery. FSKD Haikun Hong, Wenhao Huang, Xiabing Zhou, Sizhen Du, Kaigui Bian, Kunqing Xie
2015	—	`conf`	Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis. ITSC Xingxing Xing, Xiabing Zhou, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie
2014	J	`jnl`	Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning. IEEE Trans. Intell. Transp. Syst. Wenhao Huang, Guojie Song, Haikun Hong, Kunqing Xie
2014	B	`conf`	Deep process neural network for temporal deep learning. IJCNN Wenhao Huang, Haikun Hong, Guojie Song, Kunqing Xie
2014	B	`conf`	Dynamic boosting in deep learning using reconstruction error. IJCNN Wenhao Huang, Ni Zhang, Weisong Hu, Haikun Hong, Guojie Song, Kunqing Xie
2014	C	`conf`	Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting. ISNN Haikun Hong, Wenhao Huang, Guojie Song, Kunqing Xie
2013	—	`conf`	Deep Architecture for Traffic Flow Prediction. ADMA (2) Wenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie