Pengyuan Wang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Pengyuan Wang 001 (University of Georgia, Terry College of Business, Athens, GA, USA)
- Pengyuan Wang 002 (Technical University of Munich, Department of Informatics, Germany)
- Pengyuan Wang 003 (GE Research, Niskayuna, NY, USA)
- Pengyuan Wang 004 (Peking University First Hospital, Division of General Surgery, Beijing, China)
- Pengyuan Wang 005 (Cisco Systems Inc., San Jose, CA, USA)
Bibliography
2024
The dynamic analysis, FPGA implementation, and adaptive synchronization control application of a multi-vortex chaotic system based on nonlinear functions.
J. Supercomput., November, 2024
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation.
CoRR, 2024
Design and validation of slender extensible continuum robot for solar wing re-unfolding in aerospace.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024
2022
Exploring the superiority of solar-induced chlorophyll fluorescence data in predicting wheat yield using machine learning and deep learning methods.
Comput. Electron. Agric., 2022
Demonstration of Real-time Photonics-assisted mm- Wave Communication based on Ka-band Large-scale Phased-array Antenna and Automatic Beam Tracking Technique.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022
2021
Sci. Program., 2021
Comparative Analysis on the Estimation of Diurnal Solar-Induced Chlorophyll Fluorescence Dynamics for a Subtropical Evergreen Coniferous Forest.
Remote. Sens., 2021
A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai.
ISPRS Int. J. Geo Inf., 2021
2014
Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014