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Yanjun Qin

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2020 – today

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2024
[j14]
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Wenqi Zhang, Yanjun Qin, Xiaoming Tao:
Decoding Brain-Controlled Intention for UAVs and IVs Based on Lightweight Network. IEEE Internet Things J. 11(12): 21112-21124 (2024)
[j13]
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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): 22208-22219 (2024)
[j12]
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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: 1730-1734 (2024)
[j11]
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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): 2671-2685 (2024)
2023
[j10]
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Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao, Chenxing Wang:
Spatio-temporal hierarchical MLP network for traffic forecasting. Inf. Sci. 632: 543-554 (2023)
[j9]
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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): 1992-2014 (2023)
[c8]
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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: 517-529
[c7]
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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: 3241-3246
[c6]
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Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao:
Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning. ITSC 2023: 3329-3334
[c5]
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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: 1-5
2022
[j8]
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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): 6244-6261 (2022)
[j7]
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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): 6555-6576 (2022)
[j6]
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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): 15716-15728 (2022)
[j5]
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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): 23433-23446 (2022)
[c4]
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  - conf/sigir/QinFL0022
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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: 2612-2616
[i5]
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  - journals/corr/abs-2201-08017
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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 abs/2201.08017 (2022)
2021
[j4]
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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): 5473-5485 (2021)
[j3]
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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): 2138-2152 (2021)
[i4]
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  - journals/corr/abs-2112-02262
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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 abs/2112.02262 (2021)
[i3]
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  - journals/corr/abs-2112-02264
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Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang:
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting. CoRR abs/2112.02264 (2021)
[i2]
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  - journals/corr/abs-2112-02736
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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 abs/2112.02736 (2021)
[i1]
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  - journals/corr/abs-2112-02740
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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 abs/2112.02740 (2021)

2010 – 2019

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2019
[j2]
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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: 142353-142367 (2019)
[c3]
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Yanjun Qin, Chenxing Wang, Haiyong Luo:
Transportation recognition with the Sussex-Huawei Locomotion challenge. UbiComp/ISWC Adjunct 2019: 798-802
2018
[j1]
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  - journals/ijdsn/QinL0ZJ18
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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)
[c2]
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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: 1098-1105
2017
[c1]
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Yanjun Qin, Mengling Jiang, Weichao Yuan, Shaomeng Chen, Haiyong Luo:
Transportation Mode Recognition Algorithm Based on Bayesian Voting. ES 2017: 260-269

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