Yang Zhang

43 papers A 1B 3C 7Journal 18Unranked 14
YearRankTypeTitle / Venue / Authors
2022 J jnl
Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
Briefings Bioinform.
Fuyi Li, Shuangyu Dong, André Leier, Meiya Han, Xudong Guo, Jing Xu, Xiaoyu Wang, Shirui Pan, Cangzhi Jia, Yang Zhang, Geoffrey I. Webb, Lachlan J. M. Coin, Chen Li, Jiangning Song
2019 J jnl
Positive-unlabelled learning of glycosylation sites in the human proteome.
BMC Bioinform.
Fuyi Li, Yang Zhang, Anthony W. Purcell, Geoffrey I. Webb, Kuo-Chen Chou, Trevor Lithgow, Chen Li, Jiangning Song
2019 J jnl
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.
Briefings Bioinform.
Jiawei Wang, Bingjiao Yang, Yi An, Tatiana T. Marquez-Lago, André Leier, Jonathan Wilksch, Qingyang Hong, Yang Zhang, Morihiro Hayashida, Tatsuya Akutsu, Geoffrey I. Webb, Richard A. Strugnell, Jiangning Song, Trevor Lithgow
2018 J jnl
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.
Briefings Bioinform.
Yi An, Jiawei Wang, Chen Li, André Leier, Tatiana T. Marquez-Lago, Jonathan Wilksch, Yang Zhang, Geoffrey I. Webb, Jiangning Song, Trevor Lithgow
2018 J jnl
Continuously maintaining approximate quantile summaries over large uncertain datasets.
Inf. Sci.
Chunquan Liang, Yang Zhang, Yanming Nie, Shaojun Hu
2017 J jnl
Bayesian belief network for positive unlabeled learning with uncertainty.
Pattern Recognit. Lett.
Hongxiao Gan, Yang Zhang, Qun Song
2017 J jnl
Cost-sensitive learning for social network analysis and network measurement.
Comput. Electr. Eng.
Zhang Xing, Meili Wang, Yang Zhang, Jifeng Ning
2016 J jnl
Classifying networked text data with positive and unlabeled examples.
Pattern Recognit. Lett.
Mei Li, Shirui Pan, Yang Zhang, Xiaoyan Cai
2015 J jnl
GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome.
Bioinform.
Fuyi Li, Chen Li, Mingjun Wang, Geoffrey I. Webb, Yang Zhang, James C. Whisstock, Jiangning Song
2015 J jnl
Learning accurate very fast decision trees from uncertain data streams.
Int. J. Syst. Sci.
Chunquan Liang, Yang Zhang, Peng Shi, Zhengguo Hu
2014 J jnl
A novel approach of mining strong jumping emerging patterns based on BSC-tree.
Int. J. Syst. Sci.
Quanzhong Liu, Peng Shi, Zhengguo Hu, Yang Zhang
2014 J jnl
Enhancing sentence-level clustering with ranking-based clustering framework for theme-based summarization.
Inf. Sci.
Libin Yang, Xiaoyan Cai, Yang Zhang, Peng Shi
2013 J jnl
Learning from data streams with only positive and unlabeled data.
J. Intell. Inf. Syst.
Xiangju Qin, Yang Zhang, Chen Li, Xue Li
2012 J jnl
Dynamic classifier ensemble for positive unlabeled text stream classification.
Knowl. Inf. Syst.
Shirui Pan, Yang Zhang, Xue Li
2012 J jnl
Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty.
Int. J. Syst. Sci.
Jiazhen He, Yang Zhang, Xue Li, Peng Shi
2012 J jnl
Learning very fast decision tree from uncertain data streams with positive and unlabeled samples.
Inf. Sci.
Chunquan Liang, Yang Zhang, Peng Shi, Zhengguo Hu
2011 — conf
Bayesian Classifiers for Positive Unlabeled Learning.
WAIM
Jiazhen He, Yang Zhang, Xue Li, Yong Wang
2011 J jnl
Classifying text streams by keywords using classifier ensemble.
Data Knowl. Eng.
Baoguo Yang, Yang Zhang, Xue Li
2011 — conf
Cost-Sensitive Decision Tree for Uncertain Data.
ADMA (1)
Mingjian Liu, Yang Zhang, Xing Zhang, Yong Wang
2011 B conf
Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study.
IEEE Congress on Evolutionary Computation
Weicai Zhong, Yang Zhang, Jing Liu
2011 J jnl
Feature selection for support vector machines with RBF kernel.
Artif. Intell. Rev.
Quanzhong Liu, Chi-Hau Chen, Yang Zhang, Zhengguo Hu
2010 — conf
Associative Classifier for Uncertain Data.
WAIM
Xiangju Qin, Yang Zhang, Xue Li, Yong Wang
2010 — conf
Classifier Ensemble for Uncertain Data Stream Classification.
PAKDD (1)
Shirui Pan, Kuan Wu, Yang Zhang, Xue Li
2010 C conf
Decision Tree for Dynamic and Uncertain Data Streams.
ACML
Chunquan Liang, Yang Zhang, Qun Song
2010 — conf
Kernel Based K-Medoids for Clustering Data with Uncertainty.
ADMA (1)
Baoguo Yang, Yang Zhang
2010 A conf
Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty.
SDM
Jiazhen He, Yang Zhang, Xue Li, Yong Wang
2009 B conf
Building a Text Classifier by a Keyword and Unlabeled Documents.
PAKDD
Qiang Qiu, Yang Zhang, Junping Zhu
2009 C conf
Building a Text Classifier by a Keyword and Wikipedia Knowledge.
ADMA
Qiang Qiu, Yang Zhang, Junping Zhu, Wei Qu
2009 C conf
Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.
ACML
Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu
2009 — conf
Mining Multi-label Concept-Drifting Streams Using Ensemble Classifiers.
FSKD (5)
Wei Qu, Yang Zhang, Junping Zhu, Yong Wang
2009 — conf
OcVFDT: one-class very fast decision tree for one-class classification of data streams.
KDD Workshop on Knowledge Discovery from Sensor Data
Chen Li, Yang Zhang, Xue Li
2008 — conf
Bagging One-Class Decision Trees.
FSKD (2)
Chen Li, Yang Zhang
2008 C conf
Extracting Decision Rules from Sigmoid Kernel.
ADMA
Quanzhong Liu, Yang Zhang, Zhengguo Hu
2008 — conf
Improving Transductive Support Vector Machine by Ensembling.
Australasian Conference on Artificial Intelligence
Tao Li, Yang Zhang
2008 — conf
Improving the Performance of Topic Tracking System by Ensemble.
CSSE (4)
Xiangju Qin, Yang Zhang
2008 — conf
One-Class Classification of Text Streams with Concept Drift.
ICDM Workshops
Yang Zhang, Xue Li, Maria E. Orlowska
2006 — conf
Classifying Noisy Data Streams.
FSKD
Yong Wang, Zhanhuai Li, Yang Zhang
2006 C conf
Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts.
ADMA
Yong Wang, Zhanhuai Li, Yang Zhang, Longbo Zhang, Yun Jiang
2005 — conf
DRC-BK: Mining Classification Rules by Using Boolean Kernels.
ICCSA (1)
Yang Zhang, Zhanhuai Li, Kebin Cui
2004 C conf
A New Approach for Selecting Attributes Based on Rough Set Theory.
IDEAL
Yun Jiang, Zhanhuai Li, Yang Zhang, Qiang Zhang
2004 — conf
A Practical Peer-Performance-Aware DHT.
AP2PC
Yan Tang, Zhengguo Hu, Yang Zhang, Lin Zhang, Changquan Ai
2004 B conf
DRC-BK: Mining Classification Rules with Help of SVM.
PAKDD
Yang Zhang, Zhanhuai Li, Yan Tang, Kebin Cui
2003 C conf
Improving the Performance of Text Classifiers by Using Association Features.
ISMIS
Yang Zhang, Lijun Zhang, Zhanhuai Li, Yan Jianfeng