activity
20182021
most citedOn Geometric Structure of Activation Spaces in Neural Networks

5 citations · 7 across the 3 of their papers we have counts for

collaborators

9 papers

cs.SI20212 cited

Overlapping Community Detection in Temporal Text Networks

Shuhan Yan, Yuting Jia, Xinbing Wang

Analyzing the groups in the network based on same attributes, functions or connections between nodes is a way to understand network information. The task of discovering a series of…

cs.AI2020

High-Order Relation Construction and Mining for Graph Matching

Hui Xu, Liyao Xiang, Youmin Le +4

Graph matching pairs corresponding nodes across two or more graphs. The problem is difficult as it is hard to capture the structural similarity across graphs, especially on large g…

cs.SI2020

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning

Haiwen Wang, Ruijie Wang, Chuan Wen +4

Author name ambiguity causes inadequacy and inconvenience in academic information retrieval, which raises the necessity of author name disambiguation (AND). Existing AND methods ca…

cs.LG20195 cited

On Geometric Structure of Activation Spaces in Neural Networks

Yuting Jia, Haiwen Wang, Shuo Shao +3

In this paper, we investigate the geometric structure of activation spaces of fully connected layers in neural networks and then show applications of this study. We propose an effi…

cs.AI2019

CommunityGAN: Community Detection with Generative Adversarial Nets

Yuting Jia, Qinqin Zhang, Weinan Zhang +1

Community detection refers to the task of discovering groups of vertices sharing similar properties or functions so as to understand the network data. With the recent development o…

cs.LG2018

Predictive Modeling with Delayed Information: a Case Study in E-commerce Transaction Fraud Control

Junxuan Li, Yung-wen Liu, Yuting Jia +2

In Business Intelligence, accurate predictive modeling is the key for providing adaptive decisions. We studied predictive modeling problems in this research which was motivated by…