Wei-Cheng Lee

13 papers A* 3C 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates.
CoRR
Wei-Cheng Lee, Francesco Orabona
2025 J jnl
A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections nor Strong Convexity.
CoRR
Wei-Cheng Lee, Francesco Orabona
2025 J jnl
MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design.
CoRR
Pin-Han Chen, Yu-Sheng Lin, Wei-Cheng Lee, Tin-Yu Leu, Po-Hsiang Hsu, Anjana Dissanayake, Sungjin Oh, Chinq-Shiun Chiu
2025 A* conf
New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition.
COLT
El Mehdi Saad, Wei-Cheng Lee, Francesco Orabona
2022 J jnl
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation.
CoRR
Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy, Anuj Karpatne, Wei-Cheng Lee, Anish Arora
2021 — conf
Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems.
AAAI Spring Symposium: MLPS
Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne
2020 — conf
A Hybrid Image Codec with Learned Residual Coding.
CVPR Workshops
Wei-Cheng Lee, Hsueh-Ming Hang
2020 C conf
A Hybrid Layered Image Compressor with Deep-Learning Technique.
MMSP
Wei-Cheng Lee, Chih-Peng Chang, Wen-Hsiao Peng, Hsueh-Ming Hang
2020 J jnl
Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics.
CoRR
Jie Bu, Mohannad Elhamod, Christopher Singh, Matthew Redell, Wei-Cheng Lee, Anuj Karpatne
2019 — conf
Learned Image Compression with Residual Coding.
CVPR Workshops
Wei-Cheng Lee, David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng, Cheng-Yen Yang, Hsueh-Ming Hang
2018 A* conf
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
NeurIPS
Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep Ravikumar, Shou-De Lin
2017 A* conf
Latent Feature Lasso.
ICML
Ian En-Hsu Yen, Wei-Cheng Lee, Sung-En Chang, Arun Sai Suggala, Shou-De Lin, Pradeep Ravikumar
2010 — conf
Analysis and Study of Human Joint Torque and Motion Energy during Walking on Various Grounds.
FIRA
Kuo-Yang Tu, Wei-Cheng Lee