Aijun Zhang

According to our database, Aijun Zhang authored at least 43 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Sequential Stein's Method for Faster Training of Additive Index Models.

Hengtao Zhang, Zebin Yang, Agus Sudjianto, Aijun Zhang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Efficient Model-Free Subsampling Method for Massive Data.

Zheng Zhou, Zebin Yang, Aijun Zhang, Yong-Dao Zhou

Technometrics, April, 2024

Model-Free Subsampling Method Based on Uniform Designs.

Mei Zhang, Yong-Dao Zhou, Zheng Zhou, Aijun Zhang

IEEE Trans. Knowl. Data Eng., March, 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., February, 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, January, 2024

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, Ningbo Cui, Wenbin Wu, Xiuliang Jin

Comput. Electron. Agric., August, 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., June, 2023

Single-Index Model Tree.

Agus Sudjianto, Zebin Yang, Aijun Zhang

IEEE Trans. Knowl. Data Eng., March, 2023

ℓ₀ Trend Filtering.

Canhong Wen, Xueqin Wang, Aijun Zhang

INFORMS J. Comput., 2023

Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons.

Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen

CoRR, 2023

Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization.

Shijie Cui, Agus Sudjianto, Aijun Zhang, Runze Li

CoRR, 2023

2022

Balance-Subsampled Stable Prediction Across Unknown Test Data.

Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang

ACM Trans. Knowl. Discov. Data, 2022

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

2021

Enhancing Explainability of Neural Networks Through Architecture Constraints.

Zebin Yang, Aijun Zhang, Agus Sudjianto

IEEE Trans. Neural Networks Learn. Syst., 2021

GAMI-Net: An explainable neural network based on generalized additive models with structured interactions.

Zebin Yang, Aijun Zhang, Agus Sudjianto

Pattern Recognit., 2021

An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks.

Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang

Neural Networks, 2021

Hyperparameter Optimization via Sequential Uniform Designs.

Zebin Yang, Aijun Zhang

J. Mach. Learn. Res., 2021

Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification.

Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto

CoRR, 2021

Designing Inherently Interpretable Machine Learning Models.

Agus Sudjianto, Aijun Zhang

CoRR, 2021

Optimal Power Flow Calculation of Power System Based on Vector Distance Immune Algorithm.

Shichuan Liu, Teng Mu, Aijun Zhang

Proceedings of the 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2021

2020

Adaptive iterative Hessian sketch via A-optimal subsampling.

Aijun Zhang, Hengtao Zhang, Guosheng Yin

Stat. Comput., 2020

Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions.

Yifeng Guo, Yu Su, Zebin Yang, Aijun Zhang

CoRR, 2020

Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification.

Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang

CoRR, 2020

Balance-Subsampled Stable Prediction.

Kun Kuang, Hengtao Zhang, Fei Wu, Yueting Zhuang, Aijun Zhang

CoRR, 2020

An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks.

Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang

CoRR, 2020

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

Mixed-level column augmented uniform designs.

Feng Yang, Yong-Dao Zhou, Aijun Zhang

J. Complex., 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

Interval-valued data prediction via regularized artificial neural network.

Zebin Yang, Dennis K. J. Lin, Aijun Zhang

Neurocomputing, 2019

2017

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

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

An optimized nonlinear grey Bernoulli model and its applications.

Jianshan Lu, Weidong Xie, Hongbo Zhou, Aijun Zhang

Neurocomputing, 2016

2015

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

2010

Statistical Methods for Fighting Financial Crimes.

Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz

Technometrics, 2010

2007

An effective algorithm for generation of factorial designs with generalized minimum aberration.

Kai-Tai Fang, Aijun Zhang, Runze Li

J. Complex., 2007

Anomaly Detection in High-Dimensional Financial Databases.

Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan

Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

The earth surface reflectance retrieval by exploiting the synergy of TERRA and AQUA MODIS data.

Jiakui Tang, Aijun Zhang, Zhengmin He

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

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, Linxiang Liang, Yincui Hu, Ying Luo, Guoyin Cai, Jianqin Wang, Shaobo Zhong, Yanguang Wang, Aijun Zhang

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

An experience on buffer analyzing in grid.

Yincui Hu, Yong Xue, Guoyin Cai, Ying Luo, Jianqin Wang, Jiakui Tang, Shaobo Zhong, Yanguang Wang, Xiaosong Sun, Aijun Zhang

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Reconstruction of 3D Curvilinear Wireframe Model from 2D Orthographic Views.

Aijun Zhang, Yong Xue, Xiaosong Sun, Yincui Hu, Ying Luo, Yanguang Wang, Shaobo Zhong, Jianqin Wang, Jiakui Tang, Guoyin Cai

Proceedings of the 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, Yanguang Wang, Shaobo Zhong, Aijun Zhang, Jiakui Tang, Guoyin Cai

Proceedings of the Computational Science, 2004

Feasibility Study of Geo-spatial Analysis Using Grid Computing.

Yincui Hu, Yong Xue, Jianqin Wang, Xiaosong Sun, Guoyin Cai, Jiakui Tang, Ying Luo, Shaobo Zhong, Yanguang Wang, Aijun Zhang

Proceedings of the Computational Science, 2004

2003

On Hadamard-Type Output Coding in Multiclass Learning.

Aijun Zhang, Zhi-Li Wu, Chun Hung Li, Kai-Tai Fang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2003