About me
I am a second-year master student at University of Pennsylvania. I obtained my Bachelor’s degree in Data Science from Duke University/Duke Kunshan University, supervised by Prof. Peng Sun. If you want to know more about me, please feel free to contact me.
Research Interests
- Spatiotemporal Graph Neural Networks
- Time Series
- Uncertainty Quantification
- New in Autonomy, Robotics and Learning-based Control
- Applications in Intelligent Transportation Systems and Vehicle Networks
News
Publications/Paper Work
Intelligent Transportation Systems and Vehicle Networks
Conference
- Zepu Wang, Dingyi Zhuang, Yankai Li, Shenhao Wang, Jinhua Zhao, Peng Sun. ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks, accepted by ITSC 2023 IEEE International Conference on Intelligent Transportation Systems, PPT
- Zepu Wang, Yifei Sun, Zhiyu Lei, XIncheng Zhu, Peng Sun. SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory, accepted by ITSC 2023 IEEE International Conference on Intelligent Transportation Systems, PPT
- Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche. A Novel Mixed Method of Machine Learning Based Model in Traffic Flow Prediction, accepted by MSWIM 2022 ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Link
- Zepu Wang, Peng Sun, Yulin Hu, and Azzedine Boukerche. SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems, accepted by GLOBECOM 2022 IEEE Global Communications Conference, Link
- Zepu, Wang, Peng Sun, and Azzedine Boukerche. A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network, accepted by ICC 2022 IEEE International Conference on Communications, Link
Journal
- Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche. A Novel Hybrid Method for Achieving Accurate and Timeliness Vehicular Traffic Flow Prediction in Road Networks, accepted by Computer Communications, Link
Other
Under Review / In Preparation
- Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John Mulvey, H. Vincent Poor. ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting, targeting at IJCAI 2024 International Joint Conference on Artificial Intelligence
- Gezhi Wang, Zepu, Wang, Peng Sun, and Azzedine Boukerche. SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks, under review by ICC 2024 IEEE International Conference on Communications
- Zepu Wang, Yuqi Nie. Can GPT-4 Write an AI Research Paper?
- Zepu Wang, Dingyi Zhuang. Uncertainty Quantification of Sparse Travel Demand Prediction with Mixture Density Networks, targeting at ACM SIGKDD 2024 Conference on Knowledge Discovery & Data Mining