| Social-IWSTCNN: A social interaction-weighted spatio-temporal convolutional neural network for pedestrian trajectory prediction in urban traffic scenarios C Zhang, C Berger, M Dozza 2021 IEEE Intelligent Vehicles Symposium (IV), 1515-1522, 2021 | 17 | 2021 |
| Simulation and optimization of polymer molecular weight distribution with nonideal reactors C Zhang, Z Shao, X Chen, C Xu, J Wang, L Feng Computers & Chemical Engineering 106, 744-757, 2017 | 14 | 2017 |
| Learning the pedestrian-vehicle interaction for pedestrian trajectory prediction C Zhang, C Berger 2022 8th International Conference on Control, Automation and Robotics (ICCAR …, 2022 | 13 | 2022 |
| Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review C Zhang, C Berger IEEE Transactions on Intelligent Transportation Systems, 2023 | 9 | 2023 |
| Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction C Zhang, Z Ni, C Berger IEEE Transactions on Intelligent Vehicles, 2023 | 7 | 2023 |
| A study of deep learning-based multi-horizon building energy forecasting Z Ni, C Zhang, M Karlsson, S Gong Energy and Buildings 303, 113810, 2024 | 3 | 2024 |
| Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings C Zhang, AH Kalantari, Y Yang, Z Ni, G Markkula, N Merat, C Berger 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 2 | 2023 |
| 基于计算流体力学的聚合反应分子量分布的模拟与优化 张弛 杭州: 浙江大学, 2017 | 2 | 2017 |
| Simulation and optimization of the molecular weight distribution in a non-ideal polymerization reactor C Zhang, X Chen, Z Shao, C Xu, J Wang Computer Aided Chemical Engineering 38, 565-570, 2016 | 2 | 2016 |
| Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings Z Ni, C Zhang, M Karlsson, S Gong 2023 IEEE 3rd International Conference on Industrial Electronics for …, 2023 | 1 | 2023 |
| Methodological Framework for Modelling and Empirical Approaches (Deliverable D1. 1 in the H2020 MSCA ITN project SHAPE-IT) N Figalová, S Jokhio, M Nasser, NY Mbelekani, C Zhang, Y Yang, C Peng, ... SHAPE-IT Consortium, 2021 | 1 | 2021 |
| Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings C Zhang, J Sprenger, Z Ni, C Berger arXiv preprint arXiv:2404.09574, 2024 | | 2024 |
| Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling Z Ni, C Zhang, M Karlsson, S Gong arXiv preprint arXiv:2403.04326, 2024 | | 2024 |
| Method for generating simulated point cloud data, device, and storage medium F Yan, J Fang, Z Tongtong, C Zhang, L Wang, Y Ma, R Yang US Patent 11,763,474, 2023 | | 2023 |
| Analyzing factors influencing pedestrian behavior in urban traffic scenarios using deep learning C Zhang, C Berger Transportation research procedia 72, 1653-1660, 2023 | | 2023 |
| Data and data collection methodologies for the development of computational models of AV/VRU interaction and their integration into virtual simulation testing of AV … M Dozza, A Mohammadi, X Yang, C Zhang, X He, AH Kalantari, S Jokhio, ... SHAPE-IT Consortium, 2023 | | 2023 |
| Predicting Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning Methods C Zhang PQDT-Global, 2022 | | 2022 |
| Method for generating simulated point cloud data, device, and storage medium F Yan, J Fang, Z Tongtong, C Zhang, L Wang, Y Ma, R Yang US Patent 11,113,830, 2021 | | 2021 |
| Towards Understanding Pedestrian Behavior Patterns from LiDAR Data C Zhang, C Berger, M Dozza | | 2020 |
Christian BergerFull Professor for Computer Science, Chalmers University of Technology and University of GothenburgVerified email at gu.se
