Huachun Tan

发表

Traffic Missing Data Completion With Spatial-temporal Correlations

B. Ran, Wuhong Wang, Jianshuai Feng, 2014 .

Missing Data Imputation Considering Multi-Mode Variations

B. Ran, Wuhong Wang, Huachun Tan, 2014 .

Tensor based missing traffic data completion with spatialtemporal spatialtemporal correlation

B. Ran, P. Jin, Huachun Tan, 2015 .

A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction

Jian Zhang, Yuankai Wu, Xiaoxuan Chen, 2018 .

High-Dimension Traffic Data Imputation Based on a Square Norm

B. Ran, Huachun Tan, Peng-Cheng Wang, 2016 .

A Fused CP Factorization Method for Incomplete Tensors

Huachun Tan, Jian Zhang, Xiaoxuan Chen, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Memory, attention and prediction: a deep learning architecture for car-following

Bin Ran, Huachun Tan, Xiaoxuan Chen, 2019, Transportmetrica B: Transport Dynamics.

A hybrid deep learning based traffic flow prediction method and its understanding

Bin Ran, Huachun Tan, Lingqiao Qin, 2018 .

Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework pdf

Huachun Tan, Yuankai Wu, Huachun Tan, 2016, ArXiv.

Traffic Speed Data Imputation Method Based on Tensor Completion

Bin Ran, Ying Liu, Wuhong Wang, 2015, Comput. Intell. Neurosci..

Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity

Bin Ran, Wuhong Wang, Bin Cheng, 2014 .

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Huachun Tan, Hanning Zhou, Zhuxi Jiang, 2016, IJCAI.

Tensor based missing traffic data completion with spatial–temporal correlation

Bin Ran, Huachun Tan, Peter J. Jin, 2016 .

Improving speech recognition models with small samples for air traffic control systems

Huachun Tan, Zhen Yan, Zhengmao Chen, 2021, Neurocomputing.

A Data-Driven Approach to Trip Generation Modeling for Urban Residents and Non-local Travelers

Huachun Tan, Fan Yang, Bin Ran, 2020 .

Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning

Yong Wang, Huachun Tan, Yuankai Wu, 2021, IEEE Transactions on Industrial Informatics.

Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space

Jiankun Peng, Huachun Tan, Hailong Zhang, 2019, Energy Conversion and Management.

Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model pdf

Qin Li, Yuankai Wu, Linhui Ye, 2020, Neurocomputing.

Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management

Qin Li, Jiankun Peng, Yuankai Wu, 2020, IEEE Transactions on Vehicular Technology.

Development of Driving Cycle Construction for Hybrid Electric Bus: A Case Study in Zhengzhou, China

Huachun Tan, Fan Ding, Jiankun Peng, 2020 .

Robust tensor decomposition based on Cauchy distribution and its applications

Huachun Tan, Feng Li, Yuankai Wu, 2017, Neurocomputing.

Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus

Hongwen He, Jiankun Peng, Huachun Tan, 2019, Applied Energy.

Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle

Yuankai Wu, Hailong Zhang, Huachun Tan, 2020 .

Differential Variable Speed Limits Control for Freeway Recurrent Bottlenecks via Deep Reinforcement learning pdf

Bin Ran, Huachun Tan, Yuankai Wu, 2018, ArXiv.

Short-Term Traffic Prediction Based on Dynamic Tensor Completion

Bin Ran, Huachun Tan, Bin Shen, 2016, IEEE Transactions on Intelligent Transportation Systems.

A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment

Fan Ding, Huachun Tan, Zhanwen Liu, 2022, Journal of Advanced Transportation.

Laplacian integration of graph convolutional network with tensor completion for traffic prediction with missing data in inter-city highway network

Fan Ding, Hailong Zhang, Hanxuan Dong, 2022, Physica A: Statistical Mechanics and its Applications.

Rail transit OD‐matrix completion via manifold regularized tensor factorisation

Fan Ding, Huachun Tan, Yuankai Wu, 2021, IET Intelligent Transport Systems.

Traffic Flow Prediction With Missing Data Imputed by Tensor Completion Methods

Qin Li, Huachun Tan, Yuankai Wu, 2020, IEEE Access.

Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model

Yonggang Wang, Bowen Du, Lingqiao Qin, 2020, Knowl. Based Syst..

Using Tensor Completion Method to Achieving Better Coverage of Traffic State Estimation from Sparse Floating Car Data

Jian Zhang, Bin Ran, Li Song, 2016, PloS one.

Short-Term Traffic Flow Prediction Based on Multilinear Analysis and k-Nearest Neighbor Regression

Bin Ran, Huachun Tan, Bin Shen, 2015 .

Freeway Short-Term Travel Time Prediction Based on Dynamic Tensor Completion

Bin Ran, Wuhong Wang, Huachun Tan, 2015 .

Correlation Analysis for Tensor-based Traffic Data Imputation Method

Bin Ran, Guangdong Feng, Huachun Tan, 2013 .

A New Traffic Prediction Method based on Dynamic Tensor Completion

Bin Ran, Guangdong Feng, Wuhong Wang, 2013 .

Estimating Missing Traffic Volume Using Low Multilinear Rank Tensor Completion

Bin Ran, Wuhong Wang, Jianshuai Feng, 2016, J. Intell. Transp. Syst..

Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

Jiasong Zhu, Bin Ran, Bowen Du, 2020 .

A Deep Reinforcement Learning Based Car Following Model for Electric Vehicle

Bin Ran, Huachun Tan, Jiankun Peng, 2019, 智能城市应用.

Variational Deep Embedding: A Generative Approach to Clustering pdf

Huachun Tan, Hanning Zhou, Zhuxi Jiang, 2016, ArXiv.

Platoon Trajectories Generation: A Unidirectional Interconnected LSTM-Based Car-Following Model pdf

Chen Wang, Yang Zhou, Ping Wang, 2019, IEEE Transactions on Intelligent Transportation Systems.

A Deep Reinforcement Learning-Based Energy Management Framework With Lagrangian Relaxation for Plug-In Hybrid Electric Vehicle

Huachun Tan, Jiankun Peng, Fan Ding, 2021, IEEE Transactions on Transportation Electrification.

A Comparison of Traffic Flow Prediction Methods Based on DBN

Bin Ran, Huachun Tan, Yuankai Wu, 2016 .

An Attention-Based Model for Travel Energy Consumption of Electric Vehicle with Traffic Information

Zhuxi Jiang, Shen Li, Hailong Zhang, 2021, Advances in Civil Engineering.

Traffic Prediction with Graph Neural Network: A Survey

Huachun Tan, Zhanghui Liu, 2021, CICTP 2021.

Hierarchical reinforcement learning based energy management strategy of plug-in hybrid electric vehicle for ecological car-following process

Fan Ding, Huachun Tan, Jiankun Peng, 2023, Applied Energy.

Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy

Hongwen He, Jianshuai Feng, Huachun Tan, 2023, Sensors.

Integrated velocity optimization and energy management strategy for hybrid electric vehicle platoon: A multi-agent reinforcement learning approach

Fan Ding, Huachun Tan, Jiankun Peng, 2023, IEEE Transactions on Transportation Electrification.

Tackling SOC long-term dynamic for energy management of hybrid electric buses via adaptive policy optimization

Bin Ran, Huachun Tan, Fan Ding, 2020 .

ES-CTC: A Deep Neuroevolution Model for Cooperative Intelligent Freeway Traffic Control pdf

Bin Ran, Huachun Tan, Zhuxi Jiang, 2019, ArXiv.