Patterned ferroelectric domains and domain selective etching of the patterned domains can
provide ferroelectrics-based photonic crystals. In this paper, electron-beam has been …

Abstract Machine learning (ML) has been recently introduced to solving optimization problems,
especially for combinatorial optimization (CO) tasks. In this paper, we survey the trend of …

… Xijun Li … *This work has been done when Xijun Li worked as intern at Noah’s … ACM
Reference Format: Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, and Jia Zeng. 2018. A Data-…

Lithium niobate on insulator (LNOI) photonics promises to combine the excellent nonlinear
properties of lithium niobate with the high complexity achievable by high contrast waveguides…

In the past few years, there has been an explosive surge in the use of machine learning (ML)
techniques to address combinatorial optimization (CO) problems, especially mixed-integer …

Cutting planes (cuts) are important for solving mixed-integer linear programs (MILPs), which
formulate a wide range of important real-world applications. Cut selection -- which aims to …

The Dynamic Pickup and Delivery Problem (DPDP) is aimed at dynamically scheduling vehicles
among multiple sites in order to minimize the cost when delivery orders are not known a …

Machine learning (ML) approaches have been successfully applied to accelerating exact
combinatorial optimization (CO) solvers. However, many of them fail to explain what patterns …

Machine learning (ML) techniques have shown great potential in generating high-quality
solutions for integer linear programs (ILPs). However, existing methods typically rely on a *…

This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT),
an archetypal N P \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{…