Wei-Cheng Lee

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 9

Top Topics

Eigenvalue Problems

Norm Regularization

Top Venues

AAAI Spring Symposium: MLPS

Publications

Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne
-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation. CoRR (2022)
Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne
Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems. AAAI Spring Symposium: MLPS (2021)
Wei-Cheng Lee, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang
A Hybrid Layered Image Compressor with Deep-Learning Technique. MMSP (2020)
Wei-Cheng Lee, Hsueh-Ming Hang
A Hybrid Image Codec with Learned Residual Coding. CVPR Workshops (2020)
Jie Bu, Mohannad Elhamod, Christopher Singh, Matthew Redell, Wei-Cheng Lee, Anuj Karpatne
Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics. CoRR (2020)
Wei-Cheng Lee, David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Cheng-Yen Yang, Hsueh-Ming Hang
Learned Image Compression with Residual Coding. CVPR Workshops (2019)
Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep Ravikumar, Shou-De Lin
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization. NeurIPS (2018)
Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar
Latent Feature Lasso. ICML (2017)
Kuo-Yang Tu, Wei-Cheng Lee
Analysis and Study of Human Joint Torque and Motion Energy during Walking on Various Grounds. FIRA (2010)