A Model Evaluating Complexity of Driving Environment toward Autonomous Vehicles Using Neural Network. - Gang Li; Junlan Chen; Ke Wang 017; Yan Long; Zhoubing Xiong (ISCID (1), 2019)

A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation. - Junlan Chen; Ke Wang 017; Huanhuan Bao; Tao Chen (IEEE Access, 2019)

Forward and Backward Visual Fusion Approach to Motion Estimation with High Robustness and Low Cost. - Ke Wang 017; Xin Huang; Junlan Chen; Chuan Cao; Zhoubing Xiong; Long Chen (Remote. Sens., 2019)

Estimating Travel Times of Mid-Volume Buses Considering Right-of-Way Variation. - Junlan Chen; Zhenjun Zhu; Xiucheng Guo; Yi Li; Jumei Zhu (IEEE Access, 2020)

The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China. - Ke Wang 017; Gang Li; Junlan Chen; Yan Long; Tao Chen; Long Chen; Qin Xia (CoRR, 2020)

A feature-supervised generative adversarial network for environmental monitoring during hazy days. - Ke Wang 017; Siyuan Zhang; Junlan Chen; Fan Ren; Lei Xiao (CoRR, 2020)

Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas. - Ke Wang 017; Sai Ma; Junlan Chen; Fan Ren (CoRR, 2020)

Salient Bundle Adjustment for Visual SLAM. - Ke Wang 017; Sai Ma; Junlan Chen; Jianbo Lu (CoRR, 2020)

Route Configuration Method for Highway Passenger Hubs from the Perspective of Transportation Integration: A Case Study of Nanjing, China. - Xiaochuan Du; Zhenjun Zhu; Junlan Chen; Cong Qi; Xiucheng Guo (Symmetry, 2020)

Is the cut-in behavior in china dangerous? Research and analysis based on Chinese driving behavior characteristics in highway. - Shulian Zhao; Yan Long; Ke Wang 017; Junlan Chen (ITSC, 2021)

Cross-domain learning using optimized pseudo labels: toward adaptive car detection in different weather conditions and urban cities. - Ke Wang 017; Lianhua Zhang; Qin Xia; Liang Pu; Junlan Chen (Neural Comput. Appl., 2022)

Approaches, Challenges, and Applications for Deep Visual Odometry: Toward Complicated and Emerging Areas. - Ke Wang 017; Sai Ma; Junlan Chen; Fan Ren; Jianbo Lu (IEEE Trans. Cogn. Dev. Syst., 2022)

Quantification of Uncertainty and Its Applications to Complex Domain for Autonomous Vehicles Perception System. - Ke Wang 017; Yong Wang; Bingjun Liu; Junlan Chen (IEEE Trans. Instrum. Meas., 2023)

PVF-DectNet: Multi-modal 3D detection network based on Perspective-Voxel fusion. - Ke Wang 017; Tianqiang Zhou; Zhichuang Zhang; Tao Chen; Junlan Chen (Eng. Appl. Artif. Intell., 2023)

A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data. - Junlan Chen; Ziyuan Pu; Nan-Ning Zheng 001; Xiao Wen; Hongliang Ding; Xiucheng Guo (CoRR, 2024)

Kaninfradet3D:A Road-side Camera-LiDAR Fusion 3D Perception Model based on Nonlinear Feature Extraction and Intrinsic Correlation. - Pei Liu; Nanfang Zheng; Yiqun Li; Junlan Chen; Ziyuan Pu (CoRR, 2024)

How spatial features affect urban rail transit prediction accuracy: a deep learning based passenger flow prediction method. - Shuang Li; Xiaoxi Liang; Meina Zheng; Junlan Chen; Ting Chen; Xiucheng Guo (J. Intell. Transp. Syst., 2024)

Towards open-world recognition: Critical problems and challenges. - Ke Wang 017; Zhikang Li; Yang Chen; Wenjie Dong; Junlan Chen (Eng. Appl. Artif. Intell., 2025)

Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid VAE-Diffusion-Based Generative Neural Networks. - Junlan Chen; Qijie He; Pei Liu; Wei Ma; Ziyuan Pu (CoRR, 2025)

Spatiotemporal Prediction of Secondary Crashes by Rebalancing Dynamic and Static Data with Generative Adversarial Networks. - Junlan Chen; Yiqun Li; Chenyu Ling; Ziyuan Pu; Xiucheng Guo (CoRR, 2025)

Risk-Informed Diffusion Transformer for Long-Tail Trajectory Prediction in the Crash Scenario. - Junlan Chen; Pei Liu; Zihao Zhang; Hongyi Zhao; Yufei Ji; Ziyuan Pu (CoRR, 2025)

Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations. - Junlan Chen; Kexin Zhang; Daifeng Li; Yangyang Feng; Yuxuan Zhang; Bowen Deng (CoRR, 2025)

Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting? - Yuxuan Zhang; Yangyang Feng; Daifeng Li; Kexin Zhang; Junlan Chen; Bowen Deng (CoRR, 2025)

Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement. - Kexin Zhang; Junlan Chen; Daifeng Li; Yuxuan Zhang; Yangyang Feng; Bowen Deng; Weixu Chen (CoRR, 2025)