13 citations · 14 across the 3 of their papers we have counts for
5 papers
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu, Yaohua Liu, Shangzhi Zeng +1
In recent years, Bi-Level Optimization (BLO) techniques have received extensive attentions from both learning and vision communities. A variety of BLO models in complex and practic…
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…
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization
Weiyu Li, Yaohua Liu, Zhi Tian +1
In this paper, we propose a communication- and computation-efficient algorithm to solve a convex consensus optimization problem defined over a decentralized network. A remarkable e…
Computer Vision-aided Atom Tracking in STEM Imaging
Yawei Hui, Yaohua Liu
To address the SMC'17 data challenge -- "Data mining atomically resolved images for material properties", we first used the classic "blob detection" algorithms developed in compute…
Discovering Features in SrCuO Neutron Single Crystal Diffraction Data by Cluster Analysis
Yawei Hui, Yaohua Liu, Byung-Hoon Park
To address the SMC'18 data challenge, "Discovering Features in SrCuO", we have used the clustering algorithm "DBSCAN" to separate the diffuse scattering featur…