- Home
- About
- Find staff
- Chi Zhang
Chi Zhang
Doctoral Student
Software Engineering 2-
A study of deep learning-based multi-horizon building energy
forecasting
Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong
Energy and Buildings - 2024 -
Analyzing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios using Deep
Learning
Chi Zhang, Christian Berger
Transportation Research Procedia - 2023 -
Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A
Review
Chi Zhang, Christian Berger
IEEE Transactions on Intelligent Transportation Systems - 2023 -
Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized
Crossings
Chi Zhang, Amir Hossein Kalantari, Yue Yang, Zhongjun Ni, Gustav Markkula, Natasha Merat, Christian Berger
IEEE Intelligent Vehicles Symposium, Proceedings - 2023 -
Leveraging Deep Learning and Digital Twins to Improve Energy Performance of
Buildings
Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong
2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023 - 2023 -
Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory
Prediction
Chi Zhang, Zhongjun Ni, Christian Berger
IEEE Transactions on Intelligent Vehicles - 2023 -
Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory
Prediction
Chi Zhang, Christian Berger
2022 8th International Conference on Control, Automation and Robotics (ICCAR), 8-10 April 2022, IEEE - 2022 -
Predicting Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning
Methods
Chi Zhang
2022 -
Social-IWSTCNN: A social interaction-weighted spatio- temporal convolutional neural network for pedestrian trajectory prediction in urban traffic
scenarios
Chi Zhang, Christian Berger, Marco Dozza
IEEE Intelligent Vehicles Symposium, 11-17 July 2021, Proceedings - 2021