activity
20242026
collaborators

7 papers

cs.LG2026

Hinge Regression Trees and HRT-Boost: Newton-Optimized Oblique Learning for Compact Tabular Models

Hongyi Li, Jun Xu, Hong Yan

Learning high-quality oblique decision trees remains a significant challenge due to the discrete and non-convex nature of split optimization. We present the Hinge Regression Tree (…

math.OC2026

Distributed Model Predictive Control for Energy and Comfort Optimization in Large Buildings Using Piecewise Affine Approximation

Hongyi Li, Jun Xu, Jinfeng Liu

The control of large buildings encounters challenges in computational efficiency due to their size and nonlinear components. To address these issues, this paper proposes a Piecewis…

cs.LG2026

Hinge Regression Tree: A Newton Method for Oblique Regression Tree Splitting

Hongyi Li, Han Lin, Jun Xu

Oblique decision trees combine the transparency of trees with the power of multivariate decision boundaries, but learning high-quality oblique splits is NP-hard, and practical meth…

cs.CV2026

Rotation-Robust Regression with Convolutional Model Trees

Hongyi Li, William Ward Armstrong, Jun Xu

We study rotation-robust learning for image inputs using Convolutional Model Trees (CMTs) [1], whose split and leaf coefficients can be structured on the image grid and transformed…

cs.LG2025

LHT: Statistically-Driven Oblique Decision Trees for Interpretable Classification

Hongyi Li, Jun Xu, William Ward Armstrong

We introduce the Learning Hyperplane Tree (LHT), a novel oblique decision tree model designed for expressive and interpretable classification. LHT fundamentally distinguishes itsel…

cs.LG2025

Learning Hyperplane Tree: A Piecewise Linear and Fully Interpretable Decision-making Framework

Hongyi Li, Jun Xu, William Ward Armstrong

This paper introduces a novel tree-based model, Learning Hyperplane Tree (LHT), which outperforms state-of-the-art (SOTA) tree models for classification tasks on several public dat…

eess.SY2024

Priority-based Energy Allocation in Buildings through Distributed Model Predictive Control

Hongyi Li, Jun Xu, Qianchuan Zhao

Many countries are facing energy shortage today and most of the global energy is consumed by HVAC systems in buildings. For the scenarios where the energy system is not sufficientl…