Analysis and Study of Human Joint Torque and Motion Energy during Walking on Various Grounds. - Kuo-Yang Tu; Wei-Cheng Lee (FIRA, 2010)

Latent Feature Lasso. - Ian En-Hsu Yen; Wei-Cheng Lee; Sung-En Chang; Arun Sai Suggala; Shou-De Lin; Pradeep Ravikumar (ICML, 2017)

MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization. - Ian En-Hsu Yen; Wei-Cheng Lee; Kai Zhong; Sung-En Chang; Pradeep Ravikumar; Shou-De Lin (NeurIPS, 2018)

Learned Image Compression with Residual Coding. - Wei-Cheng Lee; David Alexandre; Chih-Peng Chang; Wen-Hsiao Peng; Cheng-Yen Yang; Hsueh-Ming Hang (CVPR Workshops, 2019)

A Hybrid Image Codec with Learned Residual Coding. - Wei-Cheng Lee; Hsueh-Ming Hang (CVPR Workshops, 2020)

A Hybrid Layered Image Compressor with Deep-Learning Technique. - Wei-Cheng Lee; Chih-Peng Chang; Wen-Hsiao Peng; Hsueh-Ming Hang (MMSP, 2020)

Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics. - Jie Bu; Mohannad Elhamod; Christopher Singh; Matthew Redell; Wei-Cheng Lee; Anuj Karpatne (CoRR, 2020)

Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems. - Mohannad Elhamod; Jie Bu; Christopher Singh; Matthew Redell; Abantika Ghosh; Viktor Podolskiy; Wei-Cheng Lee; Anuj Karpatne (AAAI Spring Symposium: MLPS, 2021)

Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation. - Sangeeta Srivastava; Samuel Olin; Viktor Podolskiy; Anuj Karpatne; Wei-Cheng Lee; Anish Arora (CoRR, 2022)

CoPhy-PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems. - Mohannad Elhamod; Jie Bu; Christopher Singh; Matthew Redell; Abantika Ghosh; Viktor Podolskiy; Wei-Cheng Lee; Anuj Karpatne (ACM Trans. Intell. Syst. Technol., 2022)

New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition. - El Mehdi Saad; Wei-Cheng Lee; Francesco Orabona (COLT, 2025)

MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design. - Pin-Han Chen; Yu-Sheng Lin; Wei-Cheng Lee; Tin-Yu Leu; Po-Hsiang Hsu; Anjana Dissanayake; Sungjin Oh; Chinq-Shiun Chiu (CoRR, 2025)

A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections nor Strong Convexity. - Wei-Cheng Lee; Francesco Orabona (CoRR, 2025)