Second-Order Pooling Deep Hashing for Image Retrieval. - Yongchao Yang; Jingdong Cheng; Chao Che; Jianxin Zhang; Lin Shan (ICIG (3), 2019)

Deep High-order Asymmetric Supervised Hashing for Image Retrieval. - Yongchao Yang; Jianxin Zhang 001; Qian Wang; Bin Liu 040 (IJCNN, 2020)

Extracting full-field subpixel structural displacements from videos via deep learning. - Lele Luan; Jingwei Zheng; Yongchao Yang; Ming L. Wang; Hao Sun 002 (CoRR, 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)

ASRE: Adaptive Spatial Resolution Wearable EEG. - Yongchao Yang; Ye Sun (IEEE SENSORS, 2021)

Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast. - Pengfei Xue; Aditya Wagh; Gangfeng Ma; Yilin Wang; Yongchao Yang; Tao Liu 020; Chenfu Huang (Remote. Sens., 2022)

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 014; Wenjun Zeng 001 (IEEE Trans. Geosci. Remote. Sens., 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)

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., 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, 2023)

Research on Dung Beetle Optimization Based Stacked Sparse Autoencoder for Network Situation Element Extraction. - Yongchao Yang; Pan Zhao (IEEE Access, 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)

Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows. - Abdolvahhab Rostamijavanani; Shanwu Li; Yongchao Yang (CoRR, 2025)

Data-driven Nonlinear Modal Analysis with Physics-constrained Deep Learning: Numerical and Experimental Study. - Abdolvahhab Rostamijavanani; Shanwu Li; Yongchao Yang (CoRR, 2025)