秦艳君｜新疆大学｜学者主页

2026

UniTST-TTA: Reconstruction-Augmented Long-Term Multivariate Time Series Forecasting with Conservative Test-Time Calibration

Yusupu Ainiwaer, Yanjun Qin, Qu Wang

International Symposium on Communications and Information Technologies

DOI

2025

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting

Yuchen Fang, Hai-Yong Luo, Fang Zhao, Poly Z. H. Sun, Yanjun Qin, Liang Zeng, Bo Hui, Chen-Xing Wang

IEEE Transactions on Intelligent Vehicles

DOI

2025

Driver Road Rage Detection and Event Perception Analysis Based on Eeg Functional Connectivity

Tianqi Liu, Yanjun Qin, Shanghang Zhang, Xiaoming Tao

IEEE International Conference on Intelligent Transportation Systems (ITSC)

DOI

2025

Driver Vigilance Detection Based on Single-Channel EEG with a Multi-Scale Convolution Transformer

Wenqi Zhang, Yanjun Qin, Xiaoming Tao

IEEE International Conference on Intelligent Transportation Systems (ITSC)

DOI

2025

How EEG-based cross-subject driving emotion is recognized: A multi-source transfer manifold learning model

Wenqi Zhang, Yanjun Qin, Shanghang Zhang, Xiaoming Tao

Biomedical Signal Processing and Control

DOI

2025

EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications

Tianqi Liu, Yanjun Qin, Shanghang Zhang, Yiping Duan, Xiaoming Tao

IEEE Internet of Things Journal

DOI

2024

DMGSTCN: Dynamic Multigraph Spatio–Temporal Convolution Network for Traffic Forecasting

Yanjun Qin, Xiao-Ming Tao, Yuchen Fang, Hai-Yong Luo, Fang Zhao, Chen-Xing Wang

IEEE Internet of Things Journal

DOI

2024

STWave<inline-formula><tex-math notation="LaTeX">$^+$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mo>+</mml:mo></mml:msup></mml:math><inline-graphic xlink:href="zheng-ieq1-3324501.gif"/></alternatives></inline-formula>: A Multi-Scale Efficient Spectral Graph Attention Network With Lo

Yuchen Fang, Yanjun Qin, Hai-Yong Luo, Fang Zhao, Kai Zheng

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

Yuchen Fang, Yanjun Qin, Hai-Yong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chen-Xing Wang

IEEE International Conference on Data Engineering

DOI

2023

Spatio-temporal hierarchical MLP network for traffic forecasting

Yanjun Qin, Hai-Yong Luo, Fang Zhao, Yuchen Fang, Xiao-Ming Tao, Chen-Xing Wang

Information Sciences

DOI

2022

面向个体智慧出行关键问题研究

秦艳君

《北京邮电大学》

2022

Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer

Yuchen Fang, Fang Zhao, Yanjun Qin, Hai-Yong Luo, Chen-Xing Wang

IEEE transactions on intelligent transportation systems (Print)

DOI

2022

Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network

Yanjun Qin, Yuchen Fang, Hai-Yong Luo, Fang Zhao, Chen-Xing Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2022

An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding

Yunyun Zhao, Hong-Wei Jia, Hai-Yong Luo, Fang Zhao, Yanjun Qin, Yueyue Wang

International Journal of Intelligent Systems

DOI

2022

Memory attention enhanced graph convolution long short‐term memory network for traffic forecasting

Yanjun Qin, Fang Zhao, Yuchen Fang, Hai-Yong Luo, Chen-Xing Wang

International Journal of Intelligent Systems

DOI

2022

Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning

Chen-Xing Wang, Fang Zhao, Hai-Chao Zhang, Hai-Yong Luo, Yanjun Qin, Yuchen Fang

IEEE transactions on intelligent transportation systems (Print)

DOI

2021

STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting

Yanjun Qin, Yuchen Fang, Hai-Yong Luo, Liang Zeng, Fang Zhao, Chen-Xing Wang

arXiv.org

2021

STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting

Yuchen Fang, Yanjun Qin, Hai-Yong Luo, Fang Zhao, Chen-Xing Wang

arXiv.org

2021

NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition

Yanjun Qin, Hai-Yong Luo, Fang Zhao, Chen-Xing Wang, Yuchen Fang

IEEE Transactions on Vehicular Technology

DOI

2020

Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones

Chen-Xing Wang, Hai-Yong Luo, Fang Zhao, Yanjun Qin

IEEE transactions on intelligent transportation systems (Print)

DOI

2019

Transportation recognition with the Sussex-Huawei Locomotion challenge

Yanjun Qin, Chen-Xing Wang, Hai-Yong Luo

UbiComp/ISWC Adjunct

DOI

2019

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks

Yanjun Qin, Hai-Yong Luo, Fang Zhao, Chen-Xing Wang, Jia-Qi Wang, Yuexia Zhang

IEEE Access

DOI

2018

基于多源传感器交通模式识别

秦艳君

《中北大学》

2018

A traffic pattern detection algorithm based on multimodal sensing

Yanjun Qin, Hai-Yong Luo, Fang Zhao, Zhong-Liang Zhao, Meng-Ling Jiang

Int. J. Distributed Sens. Networks

DOI

2018

Detecting Transportation Modes with Low-Power-Consumption Sensors Using Recurrent Neural Network

Hao Wang, Hai-Yong Luo, Fang Zhao, Yanjun Qin, Zhong-Liang Zhao, Yiqu Chen

2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)

DOI

2017

Transportation Mode Recognition Algorithm Based on Bayesian Voting

Yanjun Qin, Meng-Ling Jiang, Wei-Chao Yuan, Shao-Meng Chen, Hai-Yong Luo

International Conference on Enterprise Systems

DOI

秦艳君

精选作品

期刊论文

UniTST-TTA: Reconstruction-Augmented Long-Term Multivariate Time Series Forecasting with Conservative Test-Time Calibration

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting

Driver Road Rage Detection and Event Perception Analysis Based on Eeg Functional Connectivity

Driver Vigilance Detection Based on Single-Channel EEG with a Multi-Scale Convolution Transformer

How EEG-based cross-subject driving emotion is recognized: A multi-source transfer manifold learning model

EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications

DMGSTCN: Dynamic Multigraph Spatio–Temporal Convolution Network for Traffic Forecasting

STWave<inline-formula><tex-math notation="LaTeX">$^+$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mo>+</mml:mo></mml:msup></mml:math><inline-graphic xlink:href="zheng-ieq1-3324501.gif"/></alternatives></inline-formula>: A Multi-Scale Efficient Spectral Graph Attention Network With Lo

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

Spatio-temporal hierarchical MLP network for traffic forecasting

面向个体智慧出行关键问题研究

Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer

Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network

An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding

Memory attention enhanced graph convolution long short‐term memory network for traffic forecasting

Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning

STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting

STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting

NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition

Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones

Transportation recognition with the Sussex-Huawei Locomotion challenge

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks

基于多源传感器交通模式识别

A traffic pattern detection algorithm based on multimodal sensing

Detecting Transportation Modes with Low-Power-Consumption Sensors Using Recurrent Neural Network

Transportation Mode Recognition Algorithm Based on Bayesian Voting

会议论文

Deep Spatio-Temporal Convolutional Neural Network for City Traffic Flow Prediction

研究方向