Huan Zhang

16 papers A* 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A general dual-view framework for instance weighted naive Bayes.
Pattern Recognit.
Huan Zhang, Kexin Meng, Pei Lv, Shuo He, Mingliang Xu
2025 — conf
Adaptive Non-disjoint Discretization for Tree Augmented Naive Bayes.
ADMA (4)
Han Liu, Yafei Zhang, Jingjing Xu, Pei Lv, Huan Zhang
2025 J jnl
Dual-View Learning from Crowds.
ACM Trans. Knowl. Discov. Data
Huan Zhang, Liangxiao Jiang, Wenjun Zhang, Geoffrey I. Webb
2025 — conf
EMAWNB: Enhanced Multi-view Attribute Weighted Naive Bayes.
PAKDD (3)
Guanzhi Liu, Kexin Meng, Pei Lv, Huan Zhang
2025 A* conf
Instance Correlation Graph-based Naive Bayes.
ICML
Chengyuan Li, Liangxiao Jiang, Wenjun Zhang, Liangjun Yu, Huan Zhang
2025 — conf
KA
ICIC (8)
Qi Wang, Zhihong Xie, Yongping Zeng, Huan Zhang
2025 J jnl
Towards the Next-generation Bayesian Network Classifiers.
CoRR
Huan Zhang, Daokun Zhang, Kexin Meng, Geoffrey I. Webb
2023 J jnl
Multi-View Attribute Weighted Naive Bayes.
IEEE Trans. Knowl. Data Eng.
Huan Zhang, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2023 J jnl
Rigorous non-disjoint discretization for naive Bayes.
Pattern Recognit.
Huan Zhang, Liangxiao Jiang, Geoffrey I. Webb
2022 J jnl
Attribute augmented and weighted naive Bayes.
Sci. China Inf. Sci.
Huan Zhang, Liangxiao Jiang, Chaoqun Li
2022 J jnl
Fine tuning attribute weighted naive Bayes.
Neurocomputing
Huan Zhang, Liangxiao Jiang
2021 J jnl
Attribute and instance weighted naive Bayes.
Pattern Recognit.
Huan Zhang, Liangxiao Jiang, Liangjun Yu
2021 J jnl
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection.
Expert Syst. Appl.
Huan Zhang, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Collaboratively weighted naive Bayes.
Knowl. Inf. Syst.
Huan Zhang, Liangxiao Jiang, Chaoqun Li
2020 J jnl
Class-specific attribute value weighting for Naive Bayes.
Inf. Sci.
Huan Zhang, Liangxiao Jiang, Liangjun Yu
2020 J jnl
Gain ratio weighted inverted specific-class distance measure for nominal attributes.
Int. J. Mach. Learn. Cybern.
Fang Gong, Liangxiao Jiang, Huan Zhang, Dianhong Wang, Xingfeng Guo