Efficient Algorithms for General Isotone Optimization. - Xiwen Wang 003; Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (AAAI, 2022)

Learning Large-Scale MTP2 Gaussian Graphical Models via Bridge-Block Decomposition. - Xiwen Wang 003; Jiaxi Ying; Daniel P. Palomar (NeurIPS, 2023)

Network Topology Inference with Sparsity and Laplacian Constraints. - Jiaxi Ying; Xi Han; Rui Zhou; Xiwen Wang 003; Hing Cheung So (CoRR, 2023)

Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-$t$ Distribution. - Xiwen Wang 003; Rui Zhou; Jiaxi Ying; Daniel P. Palomar (IEEE Trans. Signal Process., 2023)

A Fast Successive QP Algorithm for General Mean-Variance Portfolio Optimization. - Shengjie Xiu; Xiwen Wang 003; Daniel P. Palomar (IEEE Trans. Signal Process., 2023)