On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. - Cong Mu; Angelo Mele; Lingxin Hao; Joshua Cape; Avanti Athreya; Carey E. Priebe (CoRR, 2020)

Application of User Research in E-commerce App Design. - Cong Mu (HCI (22), 2021)

Deep Learning with Label Noise: A Hierarchical Approach. - Li Chen; Ningyuan Huang; Cong Mu; Hayden S. Helm; Kate Lytvynets; Weiwei Yang 004; Carey E. Priebe (CoRR, 2022)

Deep Learning is Provably Robust to Symmetric Label Noise. - Carey E. Priebe; Ningyuan Huang; Soledad Villar; Cong Mu; Li Chen (CoRR, 2022)

On Spectral Algorithms for Community Detection in Stochastic Blockmodel Graphs With Vertex Covariates. - Cong Mu; Angelo Mele; Lingxin Hao; Joshua Cape; Avanti Athreya; Carey E. Priebe (IEEE Trans. Netw. Sci. Eng., 2022)

Dynamic network sampling for community detection. - Cong Mu; Youngser Park; Carey E. Priebe (Appl. Netw. Sci., 2023)

AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning. - Zhuoying Li; Bohua Wan; Cong Mu; Ruzhang Zhao; Shushan Qiu; Chao Yan (CoRR, 2024)

A Novel Clustering Routing Algorithm for Bridge Wireless Sensor Networks Based on Spatial Model and Multicriteria Decision Making. - Jiguang Yang; Jiuyuan Huo; Cong Mu (IEEE Internet Things J., 2024)