Liu, Yingjie
- IDENT: Identifying Differential Equations with Numerical Time evolution
2019/04/06 by Sung Ha Kang, Wenjing Liao, Kang, Sung Ha +3 · 5 citations
Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Mathematics #Image and Signal Denoising Methods #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
2023/02/16 by Yanhong Fei, Xian Wei, Fei, Yanhong +7 · 6 citations
Engineering · Computer Science · #Advanced Numerical Analysis Techniques #Digital Media and Visual Art
- O-ViT: Orthogonal Vision Transformer
2022/01/28 by Yanhong Fei, Fei, Yanhong, Yingjie Liu +5 · 2 citations
Computer Science · #Multimodal Machine Learning Applications #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- A Methodology for Projection-Based Model Reduction with Black-Box High-Fidelity Models
2017/09/25 by Renganathan, S. Ashwin, Liu, Yingjie, Mavris, Dimitri N. · 1 citation
#Analysis of PDEs (math.AP) #FOS: Mathematics
- Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation
2020/06/11 by He, Yuchen, Kang, Sung Ha, Liao, Wenjing +2 · 1 citation
#FOS: Mathematics #Numerical Analysis (math.NA)
- Group projected Subspace Pursuit for Identification of variable coefficient differential equations (GP-IDENT)
2023/04/12 by He, Yuchen, Kang, Sung-Ha, Liao, Wenjing +2 · 1 citation
#FOS: Mathematics #Numerical Analysis (math.NA)
- Relaxed Rotational Equivariance via G-Biases in Vision
2024/08/22 by Wu, Zhiqiang, Liu, Yingjie, Sun, Licheng +7 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- R2Det: Exploring Relaxed Rotation Equivariance in 2D object detection
2024/08/21 by Wu, Zhiqiang, Liu, Yingjie, Dong, Hanlin +5 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences