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Cong Mu
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 7
Top Topics
Graph Clustering
Deep Learning
Massive Graphs
Label Noise
Top Venues
CoRR
HCI (22)
IEEE Trans. Netw. Sci. Eng.
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Publications
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Cong Mu
,
Youngser Park
,
Carey E. Priebe
Dynamic network sampling for community detection.
Appl. Netw. Sci.
8 (1) (2023)
Cong Mu
,
Youngser Park
,
Carey E. Priebe
Dynamic Network Sampling for Community Detection.
CoRR
(2022)
Carey E. Priebe
,
Ningyuan Huang
,
Soledad Villar
,
Cong Mu
,
Li Chen
Deep Learning is Provably Robust to Symmetric Label Noise.
CoRR
(2022)
Li Chen
,
Ningyuan Huang
,
Cong Mu
,
Hayden S. Helm
,
Kate Lytvynets
,
Weiwei Yang
,
Carey E. Priebe
Deep Learning with Label Noise: A Hierarchical Approach.
CoRR
(2022)
Cong Mu
,
Angelo Mele
,
Lingxin Hao
,
Joshua Cape
,
Avanti Athreya
,
Carey E. Priebe
On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates.
IEEE Trans. Netw. Sci. Eng.
9 (5) (2022)
Cong Mu
Application of User Research in E-commerce App Design.
HCI (22)
(2021)
Cong Mu
,
Angelo Mele
,
Lingxin Hao
,
Joshua Cape
,
Avanti Athreya
,
Carey E. Priebe
On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates.
CoRR
(2020)