activity
20162021
most citedGraph Geometry Interaction Learning

21 citations · 48 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2021★ 3 cited

Task-adaptive Neural Process for User Cold-Start Recommendation

Xixun Lin, Jia Wu, Chuan Zhou +3

User cold-start recommendation is a long-standing challenge for recommender systems due to the fact that only a few interactions of cold-start users can be exploited. Recent studie…

cs.LG2020★ 21 cited

Graph Geometry Interaction Learning

Shichao Zhu, Shirui Pan, Chuan Zhou +3

While numerous approaches have been developed to embed graphs into either Euclidean or hyperbolic spaces, they do not fully utilize the information available in graphs, or lack the…

cs.SI2020★ 5 cited

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter

Qi Huang, Junshuai Yu, Jia Wu +1

With the rapid development of mobile Internet technology and the widespread use of mobile devices, it becomes much easier for people to express their opinions on social media. The…

cs.NE2018★ 17 cited

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm

Qinxue Meng, Jia Wu, John Ellisy +1

How to maintain relative high diversity is important to avoid premature convergence in population-based optimization methods. Island model is widely considered as a major approach…

cs.LG2016★ 2 cited

Temporal Feature Selection on Networked Time Series

Haishuai Wang, Jia Wu, Peng Zhang +1

This paper formulates the problem of learning discriminative features (\textit{i.e.,} segments) from networked time series data considering the linked information among time series…

cs.CV2016

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning

Dongkuan Xu, Jia Wu, Wei Zhang +1

Positive instance detection, especially for these in positive bags (true positive instances, TPIs), plays a key role for multiple instance learning (MIL) arising from a specific cl…