Yanjun Qin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Behavior Recognition

Soft Thresholding

Convolutional Network

Top Venues

IEEE Trans. Intell. Transp. Syst.

Int. J. Intell. Syst.

Publications

Yanjun Qin, Xiaoming Tao, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting. IEEE Internet Things J. 11 (12) (2024)
Wenqi Zhang, Yanjun Qin, Xiaoming Tao
MMPHGCN: A Hypergraph Convolutional Network for Detection of Driver Intention on Multimodal Physiological Signals. IEEE Signal Process. Lett. 31 (2024)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Wenqi Zhang, Yanjun Qin, Xiaoming Tao
Decoding Brain-Controlled Intention for UAVs and IVs Based on Lightweight Network. IEEE Internet Things J. 11 (12) (2024)
Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao, Chenxing Wang
Spatio-temporal hierarchical MLP network for traffic forecasting. Inf. Sci. 632 (2023)
Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao
Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning. ITSC (2023)
Tianqi Liu, Shanghang Zhang, Yanjun Qin, Xiaoming Tao
A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving. ITSC (2023)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. ICDE (2023)
Yanjun Qin, Jun Wang
Impact of multiple commitments on the performance of open innovation projects: the mediating role of trusted and vigilant knowledge interaction. J. Knowl. Manag. 27 (7) (2023)
Yunlong Wang, Tianqi Liu, Yanjun Qin, Siyuan Shen, Xiaoming Tao
A Hybrid Approach for Driving Behavior Recognition: Integration of CNN and Transformer-Encoder with EEG data. VTC Fall (2023)
Yanjun Qin, Fang Zhao, Yuchen Fang, Haiyong Luo, Chenxing Wang
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting. Int. J. Intell. Syst. 37 (9) (2022)
Yuchen Fang, Fang Zhao, Yanjun Qin, Haiyong Luo, Chenxing Wang
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. SIGIR (2022)
Yunyun Zhao, Hongwei Jia, Haiyong Luo, Fang Zhao, Yanjun Qin, Yueyue Wang
An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding. Int. J. Intell. Syst. 37 (9) (2022)
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning. CoRR (2022)
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Yuchen Fang
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition. IEEE Trans. Veh. Technol. 70 (3) (2021)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting. CoRR (2021)
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting. CoRR (2021)
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. CoRR (2021)
Chenxing Wang, Haiyong Luo, Fang Zhao, Yanjun Qin
Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones. IEEE Trans. Intell. Transp. Syst. 22 (9) (2021)
Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting. CoRR (2021)
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Jiaqi Wang, Yuexia Zhang
Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks. IEEE Access 7 (2019)
Yanjun Qin, Chenxing Wang, Haiyong Luo
Transportation recognition with the Sussex-Huawei Locomotion challenge. UbiComp/ISWC Adjunct (2019)
Hao Wang, Haiyong Luo, Fang Zhao, Yanjun Qin, Zhongliang Zhao, Yiqu Chen
Detecting Transportation Modes with Low-Power-Consumption Sensors Using Recurrent Neural Network. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Yanjun Qin, Haiyong Luo, Fang Zhao, Zhongliang Zhao, Mengling Jiang
A traffic pattern detection algorithm based on multimodal sensing. Int. J. Distributed Sens. Networks 14 (10) (2018)
Yanjun Qin, Mengling Jiang, Weichao Yuan, Shaomeng Chen, Haiyong Luo
Transportation Mode Recognition Algorithm Based on Bayesian Voting. ES (2017)