Transportation Mode Recognition Algorithm Based on Bayesian Voting. - Yanjun Qin; Mengling Jiang; Weichao Yuan; Shaomeng Chen; Haiyong Luo (ES, 2017)

Detecting Transportation Modes with Low-Power-Consumption Sensors Using Recurrent Neural Network. - Hao Wang; Haiyong Luo; Fang Zhao 003; Yanjun Qin; Zhongliang Zhao; Yiqu Chen (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

A traffic pattern detection algorithm based on multimodal sensing. - Yanjun Qin; Haiyong Luo; Fang Zhao 003; Zhongliang Zhao; Mengling Jiang (Int. J. Distributed Sens. Networks, 2018)

Transportation recognition with the Sussex-Huawei Locomotion challenge. - Yanjun Qin; Chenxing Wang 001; Haiyong Luo (UbiComp/ISWC Adjunct, 2019)

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks. - Yanjun Qin; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001; Jiaqi Wang; Yuexia Zhang (IEEE Access, 2019)

STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (CoRR, 2021)

DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting. - Yanjun Qin; Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (CoRR, 2021)

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (CoRR, 2021)

STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting. - Yanjun Qin; Yuchen Fang 001; Haiyong Luo; Liang Zeng 002; Fang Zhao 003; Chenxing Wang 001 (CoRR, 2021)

Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones. - Chenxing Wang 001; Haiyong Luo; Fang Zhao 003; Yanjun Qin (IEEE Trans. Intell. Transp. Syst., 2021)

NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition. - Yanjun Qin; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001; Yuchen Fang 001 (IEEE Trans. Veh. Technol., 2021)

Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network. - Yanjun Qin; Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (SIGIR, 2022)

Memory attention enhanced graph convolution long short-term memory network for traffic forecasting. - Yanjun Qin; Fang Zhao 003; Yuchen Fang 001; Haiyong Luo; Chenxing Wang 001 (Int. J. Intell. Syst., 2022)

An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding. - Yunyun Zhao; Hongwei Jia; Haiyong Luo; Fang Zhao 003; Yanjun Qin; Yueyue Wang (Int. J. Intell. Syst., 2022)

Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer. - Yuchen Fang 001; Fang Zhao 003; Yanjun Qin; Haiyong Luo; Chenxing Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning. - Chenxing Wang 001; Fang Zhao 003; Haichao Zhang; Haiyong Luo; Yanjun Qin; Yuchen Fang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Bingbing Xu 001; Liang Zeng 002; Chenxing Wang 001 (ICDE, 2023)

A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving. - Tianqi Liu; Shanghang Zhang; Yanjun Qin; Xiaoming Tao 001 (ITSC, 2023)

Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning. - Wenqi Zhang; Yanjun Qin; Shanghang Zhang; Xiaoming Tao 001 (ITSC, 2023)

A Hybrid Approach for Driving Behavior Recognition: Integration of CNN and Transformer-Encoder with EEG data. - Yunlong Wang; Tianqi Liu; Yanjun Qin; Siyuan Shen; Xiaoming Tao 001 (VTC Fall, 2023)

Spatio-temporal hierarchical MLP network for traffic forecasting. - Yanjun Qin; Haiyong Luo; Fang Zhao 003; Yuchen Fang 001; Xiaoming Tao 001; Chenxing Wang 001 (Inf. Sci., 2023)

Impact of multiple commitments on the performance of open innovation projects: the mediating role of trusted and vigilant knowledge interaction. - Yanjun Qin; Jun Wang (J. Knowl. Manag., 2023)

Diversifying Latent Flows for Safety-Critical Scenarios Generation. - Dingcheng Gao; Yanjun Qin; Xiaoming Tao 001; Jianhua Lu (ITSC, 2024)

FATCM: Frequency-Aware Temporal Convolution Model for Driver Risk Responsiveness Detection Based on EEG. - Wenqi Zhang; Yanjun Qin; Xiaoming Tao 001 (ITSC, 2024)

MMPHGCN: A Hypergraph Convolutional Network for Detection of Driver Intention on Multimodal Physiological Signals. - Wenqi Zhang; Yanjun Qin; Xiaoming Tao 001 (IEEE Signal Process. Lett., 2024)

DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting. - Yanjun Qin; Xiaoming Tao 001; Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Chenxing Wang 001 (IEEE Internet Things J., 2024)

Decoding Brain-Controlled Intention for UAVs and IVs Based on Lightweight Network. - Wenqi Zhang; Yanjun Qin; Xiaoming Tao 001 (IEEE Internet Things J., 2024)

STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. - Yuchen Fang 001; Yanjun Qin; Haiyong Luo; Fang Zhao 003; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2024)

A diffusion-based feature enhancement approach for driving behavior classification with EEG data. - Tianqi Liu; Yanjun Qin; Shanghang Zhang; Xiaoming Tao 001 (Adv. Eng. Informatics, 2025)

Empowering Corner Case Detection in Autonomous Vehicles With Multimodal Large Language Models. - Tianqi Liu; Yanjun Qin; Shanghang Zhang; Xiaoming Tao 001 (IEEE Signal Process. Lett., 2025)

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting. - Yuchen Fang 001; Haiyong Luo; Fang Zhao 003; Poly Z. H. Sun; Yanjun Qin; Liang Zeng 002; Bo Hui 001; Chenxing Wang 001 (IEEE Trans. Intell. Veh., 2025)

HiProbe-VAD: Video Anomaly Detection via Hidden States Probing in Tuning-Free Multimodal LLMs. - Zhaolin Cai; Fan Li; Ziwei Zheng; Yanjun Qin (CoRR, 2025)

Cross-Scenario Vigilance Detection Based on EEG Analysis for Safety Driving in Autonomous. - Dingcheng Gao; Xiaoming Tao 001; Xia Wu 001; Bing Du; Yanjun Qin; Jianhua Lu (IEEE Trans. Intell. Transp. Syst., 2025)