I am a Ph.D. Student and Graduate Research Assistant at the Department of Civil and Environmental Engineering, College of Engineering, Villanova University, PA, USA. I am the member of the Villanova Human Mobility Data Lab (NovaMobility) supervised by Dr. Chenfeng Xiong. I am passionate about everything related to transportation and various advanced applications that are technology-oriented. I care about cutting-edge technological applications in transportation, such as map-matching for human travel trajectories and lane detection in autonomous driving. I also focus on the environmental impact of transportation, such as the effect of vehicle-generated air pollutants on road areas. Currently, I am mainly involved in the generation and processing of human mobility data, with a primary focus on the application of map-matching technology in human mobility data. I am passionate about applying the latest technologies, such as machine learning, deep learning, reinforcement learning, and various software and tools, to address transportation issues. If you are interested in my research, Feel free to contact me for research discussion and possible collaboration!

Open Source Project:

• Lane Detection (coming soon)
• Intelligent Anomaly Detection

News

• 08/2024: Finally rearranged part of my graduate thesis and submitted it to Atmospheric Pollution Research: A Novel Highway Traffic Capacity Analysis Method under Road Region Atmospheric Environment Constraints Based on a Computational Fluid Dynamics Model.
• 07/2024: My paper have been submitted and is currently under review by The Transportation Research Board (TRB) 104nd Annual Meeting: Sup-HMM Map-Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach. Working on the map-matching continues. This work is part of our team’s Complete Trips Project.

• 06/2024: My paper have been accepted by Conference in Emerging Technologies in Transportation Systems (TRC-30): Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach. Very excited for the presentation in Crete, Greece in September!
• 06/2024: The computer software have been submitted and is currently under review by Computer Software Copyright Registration in China: Lane Line Detection Software Based on Image Sequence Mask Pre-Training.
• 04/2024: My paper have been submitted and is currently under review by Conference in Emerging Technologies in Transportation Systems (TRC-30): Map Matching of Location Data Trajectories: A Heterogeneous and Bayesian-Optimized Hidden Markov Approach. I’m current working on the map matching for the human mobility data.
• 10/2023: Two of my TRB paper were accepted.
  • A Novel Highway Traffic Capacity Analyzing Method under Road Region Atmospheric Environment Constrains Based on Computational Fluid Dynamics Model. The Transportation Research Board (TRB) 103nd Annual Meeting. 2023. [Accepted] Rank 1st.
  • Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning. The Transportation Research Board (TRB) 103nd Annual Meeting. 2023. [Accepted] Rank 3rd.
• 09/2023: The article, “The Highway Region Boundary Based on Multi-Environmental Factors,” can accessed Now! to view the article from here!
• 09/2023: Starting the Ph.D study at Villanova University!
• 08/2023: The article, “Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss,” has been finalized and posted to the “Early Access” area on IEEE Xplore! Now, to view the article abstract page from here!
• 07/2023: I received my Ph.D. offer from Villanova University! I’m looking forward to my new researches and life at Villanova!
• 07/2023: My paper Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss is accepted by the journal of IEEE Transactions on Intelligent Transportation Systems !
• 06/2023: I received my M.Eng. degree in traffic and transportation from Lanzhou Jiaotong University!