4 citations · 12 across the 10 of their papers we have counts for
10 papers
Unsupervised machine learning for identifying phase transition using two-times clustering
Nan Wu, Zhuohan Li, Wanzhou Zhang
In recent years, developing unsupervised machine learning for identifying phase transition is a research direction. In this paper, we introduce a two-times clustering method that c…
Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks
Nan Wu, Yingjie Li, Cong Hao +3
Reasoning high-level abstractions from bit-blasted Boolean networks (BNs) such as gate-level netlists can significantly benefit functional verification, logic minimization, datapat…
Air-Ground Integrated Sensing and Communications: Opportunities and Challenges
Zesong Fei, Xinyi Wang, Nan Wu +2
The air-ground integrated sensing and communications (AG-ISAC) network, which consists of unmanned aerial vehicles (UAVs) and ground terrestrial networks, offers unique capabilitie…
Privacy-Preserving Record Linkage for Cardinality Counting
Nan Wu, Dinusha Vatsalan, Mohamed Ali Kaafar +1
Several applications require counting the number of distinct items in the data, which is known as the cardinality counting problem. Example applications include health applications…
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform
Zhiwen Jing, Ziliang Zhao, Yang Feng +6
Supply Chain Platforms (SCPs) provide downstream industries with numerous raw materials. Compared with traditional e-commerce platforms, data in SCPs is more sparse due to limited…
Heterogeneous Graph Tree Networks
Nan Wu, Chaofan Wang
Heterogeneous graph neural networks (HGNNs) have attracted increasing research interest in recent three years. Most existing HGNNs fall into two classes. One class is meta-path-bas…