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Chenxin Wei, Ph. D Student. School of Transportation Southeast University Email: weichenxin@seu.edu.cn URL: https://chenxinguanglang.github.io/ Contact: Traffic College, Southeast University, Nanjing, Jiangsu, China [Google Scholar] [Research Gate] [God help those who help themselves]

Biography

I received a master's degree in Control Science and Engineering from the Institute of Logistics Science and Engineering at Shanghai Maritime University in 2024. Currently, I am an Ph. D Student at the Traffic College, Southeast University. My interests include localization in intelligent transportation system/image processing/object detection and object tracking for transportation.

Education Experience

• Nov. 2024 - Now, Intelligent Transportation System, Traffic College, Southeast University (Professor:Zhibin Li)

• Nov. 2021 - Jun. 2024, Control Science and Engineering, Institute of Logistics Science and Engineering, Shanghai Maritime University (Professor:Xinqiang Chen)

News

• Jan. 26, 2026: Our paper entitled “ Wavelet-Attention Transformer-Based Traffic Image Dehazing for Intelligent and Connected Transportation Systems” has been accepted in IEEE Internet of Things Journal.

• Oct. 30, 2025: Our paper entitled “ Visual ship image dehazing in foggy navigation via an improved Vision Transformer network” has been accepted in Transportation Research Board 2026.

• Oct. 25, 2025: Our paper entitled “ Non-Uniform Haze Removal for Traffic Images via Wavelet Convolution and Dual Residual Attention Transformer” has been accepted in Transportation Research Board 2026.

• Jun. 10, 2025: Our research titled “ Graph Data-Driven End-to-End Deep Reinforcement Learning for Active Traffic Flow Control” has been awarded funding from the Postgraduate Research & Practice Innovation Program of Jiangsu Province (Project Leader).

• Oct. 15, 2024: Our paper entitled “ GST-MADDPG-Driven Coordination of Variable Speed Limits and Ramp Metering for Traffic Congestion Alleviation in Expressway Merging Bottlenecks” has been accepted in Transportation Research Board 2025.

• Feb. 16, 2024: Our paper entitled “ Personnel Trajectory Extraction from Port-like Videos under Varied Rainy Interferences” has been accepted in IEEE Transactions on Intelligent Transportation Systems.

• Dec. 14, 2023: Our paper entitled “ Robust Port Staff Trajectory Extraction under Adverse Visibility Challenges” has been accepted in CICTP 2023.

• Oct. 29, 2023: Our paper entitled “ Ship Detection under Low-Visibility Weather Interference via an Ensemble Generative Adversarial Network” has been accepted in Journal of Marine Science and Engineering.

• Sep. 23, 2022: Our patent entitled “ Method for intelligently extracting and identifying people's tracks in different visibility environments” has been authorized .

• Sep. 16, 2022: Our paper entitled “ Automatic Identification System (AIS) Data Supported Ship Trajectory Prediction and Analysis via a Deep Learning Model” has been accepted in Journal of Marine Science and Engineering.