Yanjun Qin

46 papers A* 5Journal 31Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
Adaptive Frequency Pathways for Spatiotemporal Forecasting.
AAAI
Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao
2026 J jnl
Assisted refinement network based on channel information interaction for camouflaged object detection.
Expert Syst. Appl.
Kuan Wang, Yanjun Qin, Mengge Lu, Liejun Wang, Xiaoming Tao
2026 J jnl
How EEG-based cross-subject driving emotion is recognized: A multi-source transfer manifold learning model.
Biomed. Signal Process. Control.
Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao
2026 A* conf
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs.
AAAI
Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He
2025 J jnl
A diffusion-based feature enhancement approach for driving behavior classification with EEG data.
Adv. Eng. Informatics
Tianqi Liu, Yanjun Qin, Shanghang Zhang, Xiaoming Tao
2025 J jnl
Assisted Refinement Network Based on Channel Information Interaction for Camouflaged and Salient Object Detection.
CoRR
Kuan Wang, Yanjun Qin, Mengge Lu, Liejun Wang, Xiaoming Tao
2025 J jnl
CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting.
IEEE Trans. Intell. Veh.
Yuchen Fang, Haiyong Luo, Fang Zhao, Poly Z. H. Sun, Yanjun Qin, Liang Zeng, Bo Hui, Chenxing Wang
2025 J jnl
Cross-Scenario Vigilance Detection Based on EEG Analysis for Safety Driving in Autonomous.
IEEE Trans. Intell. Transp. Syst.
Dingcheng Gao, Xiaoming Tao, Xia Wu, Bing Du, Yanjun Qin, Jianhua Lu
2025 J jnl
Diversifying Latent Flows for Safety-Critical Scenarios Generation With CARLA Simulator.
IEEE Trans. Circuits Syst. Video Technol.
Dingcheng Gao, Yanjun Qin, Xiaoming Tao, Jianhua Lu
2025 — conf
Driver Road Rage Detection and Event Perception Analysis Based on Eeg Functional Connectivity.
ITSC
Tianqi Liu, Yanjun Qin, Shanghang Zhang, Xiaoming Tao
2025 — conf
Driver Vigilance Detection Based on Single-Channel EEG with a Multi-Scale Convolution Transformer.
ITSC
Wenqi Zhang, Yanjun Qin, Xiaoming Tao
2025 J jnl
EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications.
IEEE Internet Things J.
Tianqi Liu, Yanjun Qin, Shanghang Zhang, Yiping Duan, Xiaoming Tao
2025 J jnl
Empowering Corner Case Detection in Autonomous Vehicles With Multimodal Large Language Models.
IEEE Signal Process. Lett.
Tianqi Liu, Yanjun Qin, Shanghang Zhang, Xiaoming Tao
2025 A* conf
HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs.
ACM Multimedia
Zhaolin Cai, Fan Li, Ziwei Zheng, Yanjun Qin
2025 J jnl
HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs.
CoRR
Zhaolin Cai, Fan Li, Ziwei Zheng, Yanjun Qin
2025 J jnl
Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs.
CoRR
Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He
2025 J jnl
Social Identification in Open Innovation Projects: Role of Knowledge Collaboration and Resource Interdependence.
Syst.
Shaoze Fang, Yanjun Qin
2024 J jnl
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting.
IEEE Internet Things J.
Yanjun Qin, Xiaoming Tao, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2024 J jnl
Decoding Brain-Controlled Intention for UAVs and IVs Based on Lightweight Network.
IEEE Internet Things J.
Wenqi Zhang, Yanjun Qin, Xiaoming Tao
2024 — conf
Diversifying Latent Flows for Safety-Critical Scenarios Generation.
ITSC
Dingcheng Gao, Yanjun Qin, Xiaoming Tao, Jianhua Lu
2024 — conf
FATCM: Frequency-Aware Temporal Convolution Model for Driver Risk Responsiveness Detection Based on EEG.
ITSC
Wenqi Zhang, Yanjun Qin, Xiaoming Tao
2024 J jnl
MMPHGCN: A Hypergraph Convolutional Network for Detection of Driver Intention on Multimodal Physiological Signals.
IEEE Signal Process. Lett.
Wenqi Zhang, Yanjun Qin, Xiaoming Tao
2024 J jnl
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting.
IEEE Trans. Knowl. Data Eng.
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng
2023 — conf
A Hybrid Approach for Driving Behavior Recognition: Integration of CNN and Transformer-Encoder with EEG data.
VTC Fall
Yunlong Wang, Tianqi Liu, Yanjun Qin, Siyuan Shen, Xiaoming Tao
2023 — conf
A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving.
ITSC
Tianqi Liu, Shanghang Zhang, Yanjun Qin, Xiaoming Tao
2023 — conf
Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning.
ITSC
Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao
2023 J jnl
Impact of multiple commitments on the performance of open innovation projects: the mediating role of trusted and vigilant knowledge interaction.
J. Knowl. Manag.
Yanjun Qin, Jun Wang
2023 J jnl
Spatio-temporal hierarchical MLP network for traffic forecasting.
Inf. Sci.
Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao, Chenxing Wang
2023 A* conf
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.
ICDE
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang
2022 J jnl
An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding.
Int. J. Intell. Syst.
Yunyun Zhao, Hongwei Jia, Haiyong Luo, Fang Zhao, Yanjun Qin, Yueyue Wang
2022 J jnl
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning.
IEEE Trans. Intell. Transp. Syst.
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
2022 J jnl
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning.
CoRR
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
2022 J jnl
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer.
IEEE Trans. Intell. Transp. Syst.
Yuchen Fang, Fang Zhao, Yanjun Qin, Haiyong Luo, Chenxing Wang
2022 J jnl
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting.
Int. J. Intell. Syst.
Yanjun Qin, Fang Zhao, Yuchen Fang, Haiyong Luo, Chenxing Wang
2022 A* conf
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.
SIGIR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.
CoRR
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang
2021 J jnl
Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones.
IEEE Trans. Intell. Transp. Syst.
Chenxing Wang, Haiyong Luo, Fang Zhao, Yanjun Qin
2021 J jnl
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting.
CoRR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition.
IEEE Trans. Veh. Technol.
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Yuchen Fang
2021 J jnl
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting.
CoRR
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting.
CoRR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang
2019 J jnl
Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks.
IEEE Access
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Jiaqi Wang, Yuexia Zhang
2019 — conf
Transportation recognition with the Sussex-Huawei Locomotion challenge.
UbiComp/ISWC Adjunct
Yanjun Qin, Chenxing Wang, Haiyong Luo
2018 J jnl
A traffic pattern detection algorithm based on multimodal sensing.
Int. J. Distributed Sens. Networks
Yanjun Qin, Haiyong Luo, Fang Zhao, Zhongliang Zhao, Mengling Jiang
2018 — conf
Detecting Transportation Modes with Low-Power-Consumption Sensors Using Recurrent Neural Network.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Hao Wang, Haiyong Luo, Fang Zhao, Yanjun Qin, Zhongliang Zhao, Yiqu Chen
2017 — conf
Transportation Mode Recognition Algorithm Based on Bayesian Voting.
ES
Yanjun Qin, Mengling Jiang, Weichao Yuan, Shaomeng Chen, Haiyong Luo