91 citations · 134 across the 5 of their papers we have counts for
6 papers
Exploiting Structure in the Boolean Weighted Constraint Satisfaction Problem: A Constraint Composite Graph-Based Approach
Hong Xu
What is "structure," and how can we exploit it in combinatorial optimization? Reasoning tasks such as system design, state estimation, and prediction can be cast as combinatorial o…
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
Han Zhang, Hong Xu
Playing an essential role in data mining, machine learning has a long history of being applied to networks on multifarious tasks and has played an essential role in data mining. Ho…
Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks
Kexuan Sun, Shudan Zhong, Hong Xu
A network embedding consists of a vector representation for each node in the network. Its usefulness has been shown in many real-world application domains, such as social networks…
Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems
Hang Ma, Wolfgang Hönig, Liron Cohen +5
The authors present an overview of a hierarchical framework for coordinating task- and motion-level operations in multirobot systems. Their framework is based on the idea of using…
Measuring Territorial Control in Civil Wars Using Hidden Markov Models: A Data Informatics-Based Approach
Therese Anders, Hong Xu, Cheng Cheng +1
Territorial control is a key aspect shaping the dynamics of civil war. Despite its importance, we lack data on territorial control that are fine-grained enough to account for subna…
Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios
Hang Ma, Sven Koenig, Nora Ayanian +7
Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical computer science and operations research. We discuss issues that arise when genera…