On Hadamard-Type Output Coding in Multiclass Learning. - Aijun Zhang; Zhi-Li Wu; Chun Hung Li; Kai-Tai Fang (IDEAL, 2003)

Feasibility Study of Geo-spatial Analysis Using Grid Computing. - Yincui Hu; Yong Xue; Jianqin Wang; Xiaosong Sun; Guoyin Cai; Jiakui Tang; Ying Luo 006; Shaobo Zhong; Yanguang Wang; Aijun Zhang (International Conference on Computational Science, 2004)

Preliminary Study on Unsupervised Classification of Remotely Sensed Images on the Grid. - Jianqin Wang; Xiaosong Sun; Yong Xue; Yincui Hu; Ying Luo 006; Yanguang Wang; Shaobo Zhong; Aijun Zhang; Jiakui Tang; Guoyin Cai (International Conference on Computational Science, 2004)

Reconstruction of 3D Curvilinear Wireframe Model from 2D Orthographic Views. - Aijun Zhang; Yong Xue; Xiaosong Sun; Yincui Hu; Ying Luo 006; Yanguang Wang; Shaobo Zhong; Jianqin Wang; Jiakui Tang; Guoyin Cai (International Conference on Computational Science, 2004)

An experience on buffer analyzing in grid. - Yincui Hu; Yong Xue; Guoyin Cai; Ying Luo 006; Jianqin Wang; Jiakui Tang; Shaobo Zhong; Yanguang Wang; Xiaosong Sun; Aijun Zhang (IGARSS, 2004)

A new approach to generate the look-up table for aerosol remote sensing on grid platform. - Jiakui Tang; Yong Xue; Yanning Guan; Tong Yu 007; Linxiang Liang; Yincui Hu; Ying Luo 006; Guoyin Cai; Jianqin Wang; Shaobo Zhong; Yanguang Wang; Aijun Zhang (IGARSS, 2004)

The earth surface reflectance retrieval by exploiting the synergy of TERRA and AQUA MODIS data. - Jiakui Tang; Aijun Zhang; Zhengmin He (IGARSS, 2007)

Anomaly Detection in High-Dimensional Financial Databases. - Agus Sudjianto; Fernando Cela-Díaz; Aijun Zhang; Ming Yuan 001 (MLMTA, 2007)

An effective algorithm for generation of factorial designs with generalized minimum aberration. - Kai-Tai Fang; Aijun Zhang; Runze Li 001 (J. Complex., 2007)

Statistical Methods for Fighting Financial Crimes. - Agus Sudjianto; Sheela Nair; Ming Yuan 001; Aijun Zhang; Daniel A. Kern; Fernando Cela-Díaz (Technometrics, 2010)

Propagation of Periodic Patterns in a Discrete System with Competing Interactions. - Anna Vainchtein; Erik S. Van Vleck; Aijun Zhang (SIAM J. Appl. Dyn. Syst., 2015)

An optimized nonlinear grey Bernoulli model and its applications. - Jianshan Lu; Weidong Xie; Hongbo Zhou 009; Aijun Zhang (Neurocomputing, 2016)

Exploring canonical correlation analysis with subspace and structured sparsity for web image annotation. - Liang Tao; Horace H. S. Ip; Aijun Zhang; Xin Shu (Image Vis. Comput., 2016)

Systematic identification of the druggable interactions between human protein kinases and naturally occurring compounds in endometriosis. - Lai Jiang; Chaoliang Tang; Jie Rao; Qing Xue; Hao Wu; Dabao Wu; Aijun Zhang; Ling Chen; Zhen Shen; Lei Lei (Comput. Biol. Chem., 2017)

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

Systematic analysis and identification of unexpected interactions from the neuroprotein drug interactome in hydrocephalus pharmacological intervention. - Youming Lu; Lei Yuan; Xin Chen; Aijun Zhang; Pengqi Zhang; Dongdong Zou (J. Bioinform. Comput. Biol., 2019)

Mixed-level column augmented uniform designs. - Feng Yang; Yong-Dao Zhou; Aijun Zhang (J. Complex., 2019)

An Integrated System for Regional Environmental Parameters Business Data Distribution Based on Internet of Things. - Jinyang Lin; Pingjun Zhang; Aijun Zhang (J. Inf. Hiding Multim. Signal Process., 2019)

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

Balance-Subsampled Stable Prediction. - Kun Kuang; Hengtao Zhang; Fei Wu 001; Yueting Zhuang; 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)

Adaptive iterative Hessian sketch via A-optimal subsampling. - Aijun Zhang; Hengtao Zhang; Guosheng Yin (Stat. Comput., 2020)

Optimal Power Flow Calculation of Power System Based on Vector Distance Immune Algorithm. - Shichuan Liu; Teng Mu; Aijun Zhang (SPIoT (1), 2021)

Designing Inherently Interpretable Machine Learning Models. - Agus Sudjianto; Aijun Zhang (CoRR, 2021)

Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification. - Shaojie Xu; Joel Vaughan; Jie Chen 054; Aijun Zhang; Agus Sudjianto (CoRR, 2021)

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)

Application of a Complex Network Modeling Approach to Explore the Material Basis and Mechanisms of Traditional Chinese Medicine: A Case Study of Xuefu Zhuyu Decoction for the Treatment of Two Types of Angina Pectoris. - Guanpeng Qi; Aijun Zhang; Ze Xu; Zhaohang Li; Wenbo Zeng; Xin Liu; Juman Ma; Xiaosong Zheng; Zuojing Li (IEEE Access, 2022)

Balance-Subsampled Stable Prediction Across Unknown Test Data. - Kun Kuang; Hengtao Zhang; Runze Wu 001; Fei Wu 001; Yueting Zhuang; Aijun Zhang (ACM Trans. Knowl. Discov. Data, 2022)

Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization. - Shijie Cui; Agus Sudjianto; Aijun Zhang; Runze Li (CoRR, 2023)

Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons. - Linwei Hu; Vijayan N. Nair; Agus Sudjianto; Aijun Zhang; Jie Chen 054 (CoRR, 2023)

ℓ0 Trend Filtering. - Canhong Wen; Xueqin Wang; Aijun Zhang (INFORMS J. Comput., 2023)

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

Saliency Transfer Learning and Central-Cropping Network for Prostate Cancer Classification. - Guokai Zhang; Mengpei Jia; Lin Gao; Jihao Luo; Aijun Zhang; Yongyong Chen; Peipei Shan; Binghui Zhao (Neural Process. Lett., 2023)

Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. - Mingchao Shao; Chenwei Nie; Aijun Zhang; Liangsheng Shi; Yuanyuan Zha; Honggen Xu; Hongye Yang; Xun Yu; Yi Bai; Shuaibing Liu; Minghan Cheng; Tao Lin; et al. (Comput. Electron. Agric., 2023)

Model Validation Practice in Banking: A Structured Approach. - Agus Sudjianto; Aijun Zhang (CoRR, 2024)

Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification. - Andrew C. Pangia; Agus Sudjianto; Aijun Zhang; Taufiquar Khan (CoRR, 2024)

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

Human-Calibrated Automated Testing and Validation of Generative Language Models. - Agus Sudjianto; Aijun Zhang; Srinivas Neppalli; Tarun Joshi; Michal Malohlava (CoRR, 2024)

Road-MobileSeg: Lightweight and Accurate Road Extraction Model from Remote Sensing Images for Mobile Devices. - Guangjun Qu; Yue Wu; Zhihong Lv; Dequan Zhao; Yingpeng Lu; Kefa Zhou; Jiakui Tang; Qing Zhang; Aijun Zhang (Sensors, 2024)

DSISA: A New Neural Machine Translation Combining Dependency Weight and Neighbors. - Lingfang Li; Aijun Zhang; Ming-Xing Luo (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Model-Free Subsampling Method Based on Uniform Designs. - Mei Zhang; Yong-Dao Zhou; Zheng Zhou; Aijun Zhang (IEEE Trans. Knowl. Data Eng., 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)

A multiple-strain pathogen model with diffusion on the space of Radon measures. - Azmy S. Ackleh; Nicolas Saintier; Aijun Zhang (Commun. Nonlinear Sci. Numer. Simul., 2025)