轨迹预测 || 交通数据缺失值恢复 || 车辆重识别 || 车车/车路协同感知 || 交通流预测 || 脑信号分析 || 统计机器学习 || 交通场景语义分割 || 车联网
轨迹预测
- Xiaobo Chen, Huanjia Zhang, et al., Intention-aware Vehicle Trajectory Prediction based on Spatial-temporal Dynamic Attention Network for Internet of Vehicles, IEEE Transactions on Intelligent Transportation Systems,3(10):19471-19483, 2022 (SCI)
- Xiaobo Chen, Huanjia Zhang, et al., Vehicle Trajectory Prediction Based on Intention-Aware Non-Autoregressive Transformer with Multi-Attention Learning for Internet of Vehicles, IEEE Transactions on Instrumentation and Measurement,71: 2513912, 2022 (SCI)
- Xiaobo Chen, Huanjia Zhang, et al., VNAT: Fast and Accurate Multi-Agent Trajectory Prediction Using Variational Non-Autoregressive Transformer for Intelligent Vehicles, IEEE Transactions on Vehicular Technology, 2023
- Xiaobo Chen, Yuxiang Gao, et al., Driving Style Feature Extraction and Recognition Based on Hyperdimensional Computing and Semi-supervised Twin Projection Vector Machine, IEEE Transactions on Intelligent Transportation Systems, 2023
- Yu Hu,Xiaobo Chen*, Intention-aware Transformer with Adaptive Social and Temporal Learning for Vehicle Trajectory Prediction, 26th International Conference on Pattern Recognition, 2022
- Xiaobo Chen, Huanjia Zhang, et al., Stochastic Non-Autoregressive Transformer-based Multimodal Pedestrian Trajectory Prediction for Intelligent Vehicles, submitted to IEEE xxxx, 2022
交通数据缺失值恢复
- Xiaobo Chen, Shurong Liang, et al., A Novel Spatiotemporal Data Low-rank Imputation Approach for Traffic Sensor Network, IEEE Internet of Things Journal, 9(20): 20122-20135, 2022 (SCI)
- Xiaobo Chen, Kaiyuan Wang, et al., A Novel Nonconvex Low-rank Tensor Completion Approach for Traffic Sensor Data Recovery from Incomplete Measurements, IEEE Transactions on Instrumentation and Measurement, 2023 (SCI)
- 陈小波，梁书荣，柯佳，陈玲，胡煜. 基于图正则化和Schatten-p范数的交通数据缺失值恢复方法, 西南交通大学学报，2022(EI)
- 陈小波,陈程,陈蕾,韦中杰,蔡英凤,周俊杰 基于改进低秩矩阵补全的交通量数据缺失值插补方法, 交通运输工程学报 19(5):180-190, 2019(EI)
- Xiaobo Chen, Yingfeng Cai, Qiaolin Ye, Lei Chen, Zuoyong Li. Graph Regularized Local Self-Representation for Missing Value Imputation with Applications to On-Road Traffic Sensor Data, Neurocomputing 303: 47-59, 2018 (SCI)
- Xiaobo Chen, Yingfeng Cai, Qingchao Liu, Lei Chen, Nonconvex lp-norm Regularized Sparse Self-Representation for Traffic Sensor Data Recovery, IEEE Access 6: 24279-24290, 2018 (SCI)
- Xiaobo Chen, Xinwen Cai, Jun Liang, Qingchao Liu. Ensemble Learning Multiple LSSVR with Improved Harmony Search Algorithm for Short-term Traffic Flow Forecasting, IEEE Access 6: 9347-9357, 2018 (SCI)
- Xiaobo Chen, Cheng Chen, Yingfeng Cai, Hai Wang, Qiaolin Ye. Kernel Sparse Representation with Hybrid Regularization for On-Road Traffic Sensor Data Imputation, Sensors 18(9): 2884, 2018 (SCI)
- Xiaobo Chen. An Improved Self-Representation Approach for Missing Value Imputation, 24th International Conference on Pattern Recognition, 2018 (EI)
- Xiaobo Chen, Zhongjie Wei, Zuoyong Li, Jun Liang, Yingfeng Cai. Ensemble Correlation-based Low-rank Matrix Completion with Application to Traffic Data Imputation, Knowledge-Based Systems, 132 249-262, 2017 (SCI)
车辆重识别
- 胡煜, 陈小波*,梁军, 陈玲, 梁书荣. 基于车辆组件特征与多注意力融合的车辆重识别方法，计算机研究与发展，2022(EI)
- Xiaobo Chen, Haoze Yu, et al., Global-Local Discriminative Representation Learning Network for Viewpoint-Aware Vehicle Re-identification in Intelligent Transportation, IEEE Transactions on Instrumentation and Measurement, 2023
统计机器学习
- Xiaobo Chen, Jian Yang, Qiaolin Ye, Jun Liang. Recursive Projection Twin Support Vector Machine via Within-Class Variance Minimization, Pattern Recognition, 44(10-11): 2643-2655, 2011 (SCI)
- Xiaobo Chen, Jian Yang, David Zhang, Jun Liang. Complete Large Margin Linear Discriminant Analysis Using Mathematical Programming Approach, Pattern Recognition, 46(6):1579-1594, 2013 (SCI)
- Xiaobo Chen, Jian Yang, Jun Liang. Optimal Locality Regularized Least Squares Support Vector Machine via Alternating Optimization, Neural Processing Letters, 33(3): 301-315, 2011 (SCI)
- Xiaobo Chen, Jian Yang, Jun Liang, Qiaolin Ye. Smooth twin support vector regression, Neural Computing and Applications, 21(3): 505-513, 2012 (SCI)
- Xiaobo Chen, Jian Yang, Jun Liang. A Flexible Support Vector Machine for Regression, Neural Computing and Applications, 21(8): 2005-2013, 2012 (SCI)
- Xiaobo Chen, Jian Yang, Qirong Mao, Fei Han. Regularized Least Squares Fisher Linear Discriminant with Applications to Image Recognition, Neurocomputing, 122(25):521-534, 2013 (SCI)
- Xiaobo Chen, Jian Yang, Long Chen. An Improved Robust and Sparse Twin Support Vector Regression via Linear Programming, Soft Computing, 18(12): 2335-2348, 2014 (SCI)
- Xiaobo Chen, Yan Xiao, Yinfeng Cai, Long Chen. Structural Max-Margin Discriminant Analysis for Feature Extraction, Knowledge-Based Systems, 70:154-166, 2014 (SCI)
- Xiaobo Chen, Yingfeng Cai, Long Chen, Zuoyong Li. Discriminant Feature Extraction for Image Recognition Using Complete Robust Maximum Margin Criterion, Machine Vision and Applications, 26(7): 857-870, 2015 (SCI)
