Yongchao Yang

According to our database, Yongchao Yang authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Optimal Control of Unknown Nonlinear Systems via a Multimodel-Based Multistep Reinforcement Learning Framework.

Shanwu Li, Yongchao Yang

IEEE Trans. Artif. Intell., April, 2026

Cross attention-based prior deformation for category-level 6D pose estimation.

Shuai Guo, Yongchao Yang, Lifeng Zhang, Chunge Cao, Yazhou Hu

Neural Networks, 2026

Data and Computation Efficient Structural Nonlinear System Identification via Meta-Learning of a Foundation Model.

Shanwu Li, Yongchao Yang

J. Comput. Civ. Eng., 2026

2025

Optimal control of HalfCheetah benchmark.

Shanwu Li, Yongchao Yang

Dataset, May, 2025

Data-driven Nonlinear Modal Analysis with Physics-constrained Deep Learning: Numerical and Experimental Study.

Abdolvahhab Rostamijavanani, Shanwu Li, Yongchao Yang

CoRR, March, 2025

Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows.

Abdolvahhab Rostamijavanani, Shanwu Li, Yongchao Yang

CoRR, March, 2025

2024

Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network.

Abdolvahhab Rostamijavanani, Shanwu Li, Yongchao Yang

CoRR, 2024

Research on Dung Beetle Optimization Based Stacked Sparse Autoencoder for Network Situation Element Extraction.

Yongchao Yang, Pan Zhao

IEEE Access, 2024

2023

A Hybrid Algorithm for Multi-Objective Optimization - Combining a Biogeography-Based Optimization and Symbiotic Organisms Search.

Jun Li, Xinxin Guo, Yongchao Yang, Qiwen Zhang

Symmetry, August, 2023

A study on data-driven identification and representation of nonlinear dynamical systems with a physics-integrated deep learning approach: Koopman operators and nonlinear normal modes.

Abdolvahhab Rostamijavanani, Shanwu Li, Yongchao Yang

Commun. Nonlinear Sci. Numer. Simul., August, 2023

On the Fundamental Sensitivity Limit of Incoherent Optical Methods for Full-Field Displacement Measurements.

Shanwu Li, Faraz Abed Azad, Yongchao Yang

IEEE Trans. Instrum. Meas., 2023

Extracting 3-D Structural Lines of Building From ALS Point Clouds Using Graph Neural Network Embedded With Corner Information.

Tengping Jiang, Yongjun Wang, Zequn Zhang, Shan Liu, Lei Dai, Yongchao Yang, Xin Jin, Wenjun Zeng

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast.

Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang

Remote. Sens., 2022

2021

ASRE: Adaptive Spatial Resolution Wearable EEG.

Yongchao Yang, Ye Sun

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

2020

Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video.

Bridget Martinez, Andre Green, Moisés Felipe Mello da Silva, Yongchao Yang, David Mascareñas

Sensors, 2020

Extracting full-field subpixel structural displacements from videos via deep learning.

Lele Luan, Jingwei Zheng, Yongchao Yang, Ming L. Wang, Hao Sun

CoRR, 2020

Deep High-order Asymmetric Supervised Hashing for Image Retrieval.

Yongchao Yang, Jianxin Zhang, Qian Wang, Bin Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Second-Order Pooling Deep Hashing for Image Retrieval.

Yongchao Yang, Jingdong Cheng, Chao Che, Jianxin Zhang, Lin Shan

Proceedings of the Image and Graphics - 10th International Conference, 2019