A Portfolio Optimization Model Based on Information Entropy and Fuzzy Time Series. - Ze-Bin Yang 001; Rong-Xi Zhou; Qiang Zhang; Mei Yu 002 (BIFE, 2013)

A portfolio optimization model based on information entropy and fuzzy time series. - Rong-Xi Zhou; Ze-Bin Yang 001; Mei Yu 002; Dan A. Ralescu (Fuzzy Optim. Decis. Mak., 2015)

Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm. - Lean Yu; Zebin Yang 001; Ling Tang 001 (Int. J. Inf. Technol. Decis. Mak., 2016)

Interval-valued data prediction via regularized artificial neural network. - Zebin Yang 001; Dennis K. J. Lin; Aijun Zhang (Neurocomputing, 2019)

An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks. - Zebin Yang 001; Hengtao Zhang; Agus Sudjianto; Aijun Zhang (CoRR, 2020)

Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification. - Agus Sudjianto; William Knauth; Rahul Singh; Zebin Yang 001; Aijun Zhang (CoRR, 2020)

Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions. - Yifeng Guo; Yu Su; Zebin Yang 001; Aijun Zhang (CoRR, 2020)

Hyperparameter Optimization via Sequential Uniform Designs. - Zebin Yang 001; Aijun Zhang (J. Mach. Learn. Res., 2021)

An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks. - Zebin Yang 001; Hengtao Zhang; Agus Sudjianto; Aijun Zhang (Neural Networks, 2021)

GAMI-Net: An explainable neural network based on generalized additive models with structured interactions. - Zebin Yang 001; Aijun Zhang; Agus Sudjianto (Pattern Recognit., 2021)

Enhancing Explainability of Neural Networks Through Architecture Constraints. - Zebin Yang 001; Aijun Zhang; Agus Sudjianto (IEEE Trans. Neural Networks Learn. Syst., 2021)

Single-Index Model Tree. - Agus Sudjianto; Zebin Yang 001; Aijun Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Inherently Interpretable Tree Ensemble Learning. - Zebin Yang 001; Agus Sudjianto; Xiaoming Li; Aijun Zhang (CoRR, 2024)

Efficient Model-Free Subsampling Method for Massive Data. - Zheng Zhou; Zebin Yang 001; Aijun Zhang; Yong-Dao Zhou (Technometrics, 2024)

A Sequential Stein's Method for Faster Training of Additive Index Models. - Hengtao Zhang; Zebin Yang 001; Agus Sudjianto; Aijun Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)