Chi Zhang

Doktorand vid Software Engineering 2

Källa: chalmers.se
Image of Chi Zhang

Visar 17 publikationer

2024

Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability

Chi Zhang, Janis Sprenger, Zhongjun Ni et al
IEEE Transactions on Intelligent Vehicles
Artikel i vetenskaplig tidskrift
2024

Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings

Chi Zhang, Janis Sprenger, Zhongjun Ni et al
IEEE Intelligent Vehicles Symposium, Proceedings
Paper i proceeding
2024

A study of deep learning-based multi-horizon building energy forecasting

Zhongjun Ni, Chi Zhang, Magnus Karlsson et al
Energy and Buildings. Vol. 303
Artikel i vetenskaplig tidskrift
2023

Analyzing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios using Deep Learning

Chi Zhang, Christian Berger
Transportation Research Procedia. Vol. 72, p. 1653-1660
Paper i proceeding
2023

Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings

Chi Zhang, Amir Hossein Kalantari, Yue Yang et al
IEEE Intelligent Vehicles Symposium, Proceedings
Paper i proceeding
2023

Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review

Chi Zhang, Christian Berger
IEEE Transactions on Intelligent Transportation Systems. Vol. 24 (10), p. 10279-10301
Artikel i vetenskaplig tidskrift
2023

Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction

Chi Zhang, Zhongjun Ni, Christian Berger
IEEE Transactions on Intelligent Vehicles
Artikel i vetenskaplig tidskrift
2023

Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings

Zhongjun Ni, Chi Zhang, Magnus Karlsson et al
2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)
Paper i proceeding
2022

Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction

Chi Zhang, Christian Berger
2022 8th International Conference on Control, Automation and Robotics (ICCAR). Vol. 2022-April, p. 230-236
Paper i proceeding
2021

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, Proceedings. Vol. 2021-July, p. 1515-1522
Paper i proceeding

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