41 citations · 58 across the 5 of their papers we have counts for
5 papers
AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation
Mingxiang Chen, Zhanguo Chang, Haonan Lu +4
Most of the achievements in artificial intelligence so far were accomplished by supervised learning which requires numerous annotated training data and thus costs innumerable manpo…
Image Generation With Neural Cellular Automatas
Mingxiang Chen, Zhecheng Wang
In this paper, we propose a novel approach to generate images (or other artworks) by using neural cellular automatas (NCAs). Rather than training NCAs based on single images one by…
Predicting Geographic Information with Neural Cellular Automata
Mingxiang Chen, Qichang Chen, Lei Gao +2
This paper presents a novel framework using neural cellular automata (NCA) to regenerate and predict geographic information. The model extends the idea of using NCA to generate/reg…
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
Mingxiang Chen, Lei Gao, Qichang Chen +1
This paper presents a novel neural network design that learns the heuristic for Large Neighborhood Search (LNS). LNS consists of a destroy operator and a repair operator that speci…
Learn to Design the Heuristics for Vehicle Routing Problem
Lei Gao, Mingxiang Chen, Qichang Chen +3
This paper presents an approach to learn the local-search heuristics that iteratively improves the solution of Vehicle Routing Problem (VRP). A local-search heuristics is composed…