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Aijun Zhang
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2020 – today
- 2024
- [j26]Guangjun Qu, Yue Wu, Zhihong Lv, Dequan Zhao, Yingpeng Lu, Kefa Zhou, Jiakui Tang, Qing Zhang, Aijun Zhang:
Road-MobileSeg: Lightweight and Accurate Road Extraction Model from Remote Sensing Images for Mobile Devices. Sensors 24(2): 531 (2024) - [j25]Lingfang Li, Aijun Zhang, Ming-Xing Luo:
DSISA: A New Neural Machine Translation Combining Dependency Weight and Neighbors. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(2): 27:1-27:16 (2024) - [j24]Zheng Zhou, Zebin Yang, Aijun Zhang, Yong-Dao Zhou:
Efficient Model-Free Subsampling Method for Massive Data. Technometrics 66(2): 240-252 (2024) - [j23]Mei Zhang, Yong-Dao Zhou, Zheng Zhou, Aijun Zhang:
Model-Free Subsampling Method Based on Uniform Designs. IEEE Trans. Knowl. Data Eng. 36(3): 1210-1220 (2024) - [j22]Hengtao Zhang, Zebin Yang, Agus Sudjianto, Aijun Zhang:
A Sequential Stein's Method for Faster Training of Additive Index Models. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13941-13950 (2024) - 2023
- [j21]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:
Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. Comput. Electron. Agric. 211: 108029 (2023) - [j20]Canhong Wen, Xueqin Wang, Aijun Zhang:
ℓ0 Trend Filtering. INFORMS J. Comput. 35(6): 1491-1510 (2023) - [j19]Guokai Zhang, Mengpei Jia, Lin Gao, Jihao Luo, Aijun Zhang, Yongyong Chen, Peipei Shan, Binghui Zhao:
Saliency Transfer Learning and Central-Cropping Network for Prostate Cancer Classification. Neural Process. Lett. 55(3): 2391-2403 (2023) - [j18]Agus Sudjianto, Zebin Yang, Aijun Zhang:
Single-Index Model Tree. IEEE Trans. Knowl. Data Eng. 35(3): 3101-3114 (2023) - [i12]Shijie Cui, Agus Sudjianto, Aijun Zhang, Runze Li:
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization. CoRR abs/2304.13761 (2023) - [i11]Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen:
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons. CoRR abs/2305.15670 (2023) - 2022
- [j17]Guanpeng Qi, Aijun Zhang, Ze Xu, Zhaohang Li, Wenbo Zeng, Xin Liu, Juman Ma, Xiaosong Zheng, Zuojing Li:
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. IEEE Access 10: 114103-114117 (2022) - [j16]Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang:
Balance-Subsampled Stable Prediction Across Unknown Test Data. ACM Trans. Knowl. Discov. Data 16(3): 45:1-45:21 (2022) - 2021
- [j15]Zebin Yang, Aijun Zhang:
Hyperparameter Optimization via Sequential Uniform Designs. J. Mach. Learn. Res. 22: 149:1-149:47 (2021) - [j14]Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang:
An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks. Neural Networks 139: 149-157 (2021) - [j13]Zebin Yang, Aijun Zhang, Agus Sudjianto:
GAMI-Net: An explainable neural network based on generalized additive models with structured interactions. Pattern Recognit. 120: 108192 (2021) - [j12]Zebin Yang, Aijun Zhang, Agus Sudjianto:
Enhancing Explainability of Neural Networks Through Architecture Constraints. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2610-2621 (2021) - [c9]Shichuan Liu, Teng Mu, Aijun Zhang:
Optimal Power Flow Calculation of Power System Based on Vector Distance Immune Algorithm. SPIoT (1) 2021: 815-821 - [i10]Agus Sudjianto, Aijun Zhang:
Designing Inherently Interpretable Machine Learning Models. CoRR abs/2111.01743 (2021) - [i9]Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto:
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification. CoRR abs/2111.08922 (2021) - 2020
- [j11]Aijun Zhang, Hengtao Zhang, Guosheng Yin:
Adaptive iterative Hessian sketch via A-optimal subsampling. Stat. Comput. 30(4): 1075-1090 (2020) - [i8]Zebin Yang, Aijun Zhang, Agus Sudjianto:
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions. CoRR abs/2003.07132 (2020) - [i7]Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang:
An Effective and Efficient Initialization Scheme for Multi-layer Feedforward Neural Networks. CoRR abs/2005.08027 (2020) - [i6]Kun Kuang, Hengtao Zhang, Fei Wu, Yueting Zhuang, Aijun Zhang:
Balance-Subsampled Stable Prediction. CoRR abs/2006.04381 (2020) - [i5]Zebin Yang, Aijun Zhang:
Hyperparameter Optimization via Sequential Uniform Designs. CoRR abs/2009.03586 (2020) - [i4]Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang:
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification. CoRR abs/2011.04041 (2020) - [i3]Yifeng Guo, Yu Su, Zebin Yang, Aijun Zhang:
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions. CoRR abs/2012.08196 (2020)
2010 – 2019
- 2019
- [j10]Zebin Yang, Dennis K. J. Lin, Aijun Zhang:
Interval-valued data prediction via regularized artificial neural network. Neurocomputing 331: 336-345 (2019) - [j9]Youming Lu, Lei Yuan, Xin Chen, Aijun Zhang, Pengqi Zhang, Dongdong Zou:
Systematic analysis and identification of unexpected interactions from the neuroprotein drug interactome in hydrocephalus pharmacological intervention. J. Bioinform. Comput. Biol. 17(1): 1950002:1-1950002:16 (2019) - [j8]Feng Yang, Yong-Dao Zhou, Aijun Zhang:
Mixed-level column augmented uniform designs. J. Complex. 53: 23-39 (2019) - [j7]Jinyang Lin, Pingjun Zhang, Aijun Zhang:
An Integrated System for Regional Environmental Parameters Business Data Distribution Based on Internet of Things. J. Inf. Hiding Multim. Signal Process. 10(1): 72-80 (2019) - [i2]Zebin Yang, Aijun Zhang, Agus Sudjianto:
Enhancing Explainability of Neural Networks through Architecture Constraints. CoRR abs/1901.03838 (2019) - [i1]Aijun Zhang, Hengtao Zhang, Guosheng Yin:
Adaptive Iterative Hessian Sketch via A-Optimal Subsampling. CoRR abs/1902.07627 (2019) - 2017
- [j6]Lai Jiang, Chaoliang Tang, Jie Rao, Qing Xue, Hao Wu, Dabao Wu, Aijun Zhang, Ling Chen, Zhen Shen, Lei Lei:
Systematic identification of the druggable interactions between human protein kinases and naturally occurring compounds in endometriosis. Comput. Biol. Chem. 71: 136-143 (2017) - 2016
- [j5]Jianshan Lu, Weidong Xie, Hongbo Zhou, Aijun Zhang:
An optimized nonlinear grey Bernoulli model and its applications. Neurocomputing 177: 206-214 (2016) - [j4]Liang Tao, Horace H. S. Ip, Aijun Zhang, Xin Shu:
Exploring canonical correlation analysis with subspace and structured sparsity for web image annotation. Image Vis. Comput. 54: 22-30 (2016) - 2015
- [j3]Anna Vainchtein, Erik S. Van Vleck, Aijun Zhang:
Propagation of Periodic Patterns in a Discrete System with Competing Interactions. SIAM J. Appl. Dyn. Syst. 14(2): 523-555 (2015) - 2010
- [j2]Agus Sudjianto, Sheela Nair, Ming Yuan, Aijun Zhang, Daniel A. Kern, Fernando Cela-Díaz:
Statistical Methods for Fighting Financial Crimes. Technometrics 52(1): 5-19 (2010)
2000 – 2009
- 2007
- [j1]Kai-Tai Fang, Aijun Zhang, Runze Li:
An effective algorithm for generation of factorial designs with generalized minimum aberration. J. Complex. 23(4-6): 740-751 (2007) - [c8]Jiakui Tang, Aijun Zhang, Zhengmin He:
The earth surface reflectance retrieval by exploiting the synergy of TERRA and AQUA MODIS data. IGARSS 2007: 1697-1700 - [c7]Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan:
Anomaly Detection in High-Dimensional Financial Databases. MLMTA 2007: 105-112 - 2004
- [c6]Aijun Zhang, Yong Xue, Xiaosong Sun, Yincui Hu, Ying Luo, Yanguang Wang, Shaobo Zhong, Jianqin Wang, Jiakui Tang, Guoyin Cai:
Reconstruction of 3D Curvilinear Wireframe Model from 2D Orthographic Views. International Conference on Computational Science 2004: 404-411 - [c5]Yincui Hu, Yong Xue, Jianqin Wang, Xiaosong Sun, Guoyin Cai, Jiakui Tang, Ying Luo, Shaobo Zhong, Yanguang Wang, Aijun Zhang:
Feasibility Study of Geo-spatial Analysis Using Grid Computing. International Conference on Computational Science 2004: 956-963 - [c4]Jianqin Wang, Xiaosong Sun, Yong Xue, Yincui Hu, Ying Luo, Yanguang Wang, Shaobo Zhong, Aijun Zhang, Jiakui Tang, Guoyin Cai:
Preliminary Study on Unsupervised Classification of Remotely Sensed Images on the Grid. International Conference on Computational Science 2004: 981-988 - [c3]Yincui Hu, Yong Xue, Guoyin Cai, Ying Luo, Jianqin Wang, Jiakui Tang, Shaobo Zhong, Yanguang Wang, Xiaosong Sun, Aijun Zhang:
An experience on buffer analyzing in grid. IGARSS 2004 - [c2]Jiakui Tang, Yong Xue, Yanning Guan, Tong Yu, Linxiang Liang, Yincui Hu, Ying Luo, Guoyin Cai, Jianqin Wang, Shaobo Zhong, Yanguang Wang, Aijun Zhang:
A new approach to generate the look-up table for aerosol remote sensing on grid platform. IGARSS 2004: 2949-2952 - 2003
- [c1]Aijun Zhang, Zhi-Li Wu, Chun Hung Li, Kai-Tai Fang:
On Hadamard-Type Output Coding in Multiclass Learning. IDEAL 2003: 397-404
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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