activity
20182020
most citedLearning Topological Representation for Networks via Hierarchical Sampling

8 citations · 18 across the 4 of their papers we have counts for

collaborators

8 papers

cs.AI20203 cited

A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros

Tianye Shu, Ziqi Wang, Jialin Liu +1

Applying latent variable evolution to game level design has become more and more popular as little human expert knowledge is required. However, defective levels with illegal patter…

cs.SE2020

How to Evaluate Solutions in Pareto-based Search-Based Software Engineering? A Critical Review and Methodological Guidance

Miqing Li, Tao Chen, Xin Yao

With modern requirements, there is an increasing tendency of considering multiple objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a multi-objec…

cs.SE2020

Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline

Tao Chen, Rami Bahsoon, Xin Yao

To promote engineering self-aware and self-adaptive software systems in a reusable manner, architectural patterns and the related methodology provide an unified solution to handle…

cs.LG20193 cited

Adaptive Initialization Method for K-means Algorithm

Jie Yang, Yu-Kai Wang, Xin Yao +1

The K-means algorithm is a widely used clustering algorithm that offers simplicity and efficiency. However, the traditional K-means algorithm uses the random method to determine th…

cs.NE2019

A Simple Yet Effective Approach to Robust Optimization Over Time

Lukáš Adam, Xin Yao

Robust optimization over time (ROOT) refers to an optimization problem where its performance is evaluated over a period of future time. Most of the existing algorithms use particle…

cs.SI20198 cited

Learning Topological Representation for Networks via Hierarchical Sampling

Guoji Fu, Chengbin Hou, Xin Yao

The topological information is essential for studying the relationship between nodes in a network. Recently, Network Representation Learning (NRL), which projects a network into a…