1 citations · 1 across the 5 of their papers we have counts for
5 papers
Autonomous End-to-End SOH Prediction Services for Battery Systems via Temporal-Contrastive Representation Learning
Junting Wen, Dan Li, Qihao Quan +8
Accurate state of health (SOH) estimation is a critical diagnostic service for lithium-ion battery management. However, reliance on labor-intensive manual feature engineering and o…
Learning Large-Scale MTP Gaussian Graphical Models via Bridge-Block Decomposition
Xiwen Wang, Jiaxi Ying, Daniel P. Palomar
This paper studies the problem of learning the large-scale Gaussian graphical models that are multivariate totally positive of order two (). By introducing the concep…
Network Topology Inference with Sparsity and Laplacian Constraints
Jiaxi Ying, Xi Han, Rui Zhou +2
We tackle the network topology inference problem by utilizing Laplacian constrained Gaussian graphical models, which recast the task as estimating a precision matrix in the form of…
A Fast Successive QP Algorithm for General Mean-Variance Portfolio Optimization
Shengjie Xiu, Xiwen Wang, Daniel P. Palomar
The mean and variance of portfolio returns are the standard quantities to measure the expected return and risk of a portfolio. Efficient portfolios that provide optimal trade-offs…
Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-t Distribution
Xiwen Wang, Rui Zhou, Jiaxi Ying +1
Since Markowitz's mean-variance framework, optimizing a portfolio that maximizes the profit and minimizes the risk has been ubiquitous in the financial industry. Initially, profit…