Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering. - Yubo Zhuang; Xiaohui Chen; Yun Yang (AISTATS, 2022)

Wasserstein $K$-means for clustering probability distributions. - Yubo Zhuang; Xiaohui Chen; Yun Yang (NeurIPS, 2022)

Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data. - Yubo Zhuang; Xiaohui Chen; Yun Yang (ICML, 2023)

Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming. - Yubo Zhuang; Xiaohui Chen; Yun Yang; Richard Y. Zhang (ICLR, 2024)

Efficient and Secure Blockchain Consensus Algorithm for Heterogeneous Industrial Internet of Things Nodes Based on Double-DAG. - Yourong Chen; Yang Zhang; Yubo Zhuang; Kelei Miao; Seyedamin Pouriyeh; Meng Han (IEEE Trans. Ind. Informatics, 2024)

A Large-Scale Node Lightweight Consensus Algorithm of Blockchain for Internet of Things. - Yubo Zhuang; Yourong Chen; Xudong Zhang 003; Tiaojuan Ren; Meng Han; Muhammad Alam 002; Zhen Hong (IEEE Internet Things J., 2024)