25 citations · 38 across the 4 of their papers we have counts for
4 papers
BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning
Yaohua Liu, Risheng Liu
Meta-learning (a.k.a. learning to learn) has recently emerged as a promising paradigm for a variety of applications. There are now many meta-learning methods, each focusing on diff…
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu, Pan Mu, Xiaoming Yuan +2
In recent years, a variety of gradient-based first-order methods have been developed to solve bi-level optimization problems for learning applications. However, theoretical guarant…
Converged Deep Framework Assembling Principled Modules for CS-MRI
Risheng Liu, Yuxi Zhang, Shichao Cheng +2
Compressed Sensing Magnetic Resonance Imaging (CS-MRI) significantly accelerates MR data acquisition at a sampling rate much lower than the Nyquist criterion. A major challenge for…
Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions
Risheng Liu, Xin Fan, Ming Zhu +2
Underwater image enhancement is such an important low-level vision task with many applications that numerous algorithms have been proposed in recent years. These algorithms develop…