Improving the Performance of Text Classifiers by Using Association Features. - Yang Zhang 010; Lijun Zhang 003; Zhanhuai Li; Yan Jianfeng (ISMIS, 2003)

A Practical Peer-Performance-Aware DHT. - Yan Tang; Zhengguo Hu; Yang Zhang 010; Lin Zhang; Changquan Ai (AP2PC, 2004)

A New Approach for Selecting Attributes Based on Rough Set Theory. - Yun Jiang; Zhanhuai Li; Yang Zhang 010; Qiang Zhang (IDEAL, 2004)

DRC-BK: Mining Classification Rules with Help of SVM. - Yang Zhang 010; Zhanhuai Li; Yan Tang; Kebin Cui (PAKDD, 2004)

DRC-BK: Mining Classification Rules by Using Boolean Kernels. - Yang Zhang 010; Zhanhuai Li; Kebin Cui (ICCSA (1), 2005)

Improving the Performance of Data Stream Classifiers by Mining Recurring Contexts. - Yong Wang; Zhanhuai Li; Yang Zhang 010; Longbo Zhang; Yun Jiang (ADMA, 2006)

Classifying Noisy Data Streams. - Yong Wang; Zhanhuai Li; Yang Zhang 010 (FSKD, 2006)

Extracting Decision Rules from Sigmoid Kernel. - Quanzhong Liu; Yang Zhang 010; Zhengguo Hu (ADMA, 2008)

Improving Transductive Support Vector Machine by Ensembling. - Tao Li; Yang Zhang 010 (Australasian Conference on Artificial Intelligence, 2008)

Improving the Performance of Topic Tracking System by Ensemble. - Xiangju Qin; Yang Zhang 010 (CSSE (4), 2008)

Bagging One-Class Decision Trees. - Chen Li 021; Yang Zhang 010 (FSKD (2), 2008)

One-Class Classification of Text Streams with Concept Drift. - Yang Zhang 010; Xue Li 001; Maria E. Orlowska (ICDM Workshops, 2008)

Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble. - Wei Qu; Yang Zhang 010; Junping Zhu; Qiang Qiu (ACML, 2009)

Building a Text Classifier by a Keyword and Wikipedia Knowledge. - Qiang Qiu; Yang Zhang 010; Junping Zhu; Wei Qu (ADMA, 2009)

Mining Multi-label Concept-Drifting Streams Using Ensemble Classifiers. - Wei Qu; Yang Zhang 010; Junping Zhu; Yong Wang (FSKD (5), 2009)

OcVFDT: one-class very fast decision tree for one-class classification of data streams. - Chen Li 021; Yang Zhang 010; Xue Li 001 (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Building a Text Classifier by a Keyword and Unlabeled Documents. - Qiang Qiu; Yang Zhang 010; Junping Zhu (PAKDD, 2009)

Kernel Based K-Medoids for Clustering Data with Uncertainty. - Baoguo Yang; Yang Zhang 010 (ADMA (1), 2010)

Classifier Ensemble for Uncertain Data Stream Classification. - Shirui Pan; Kuan Wu; Yang Zhang 010; Xue Li 001 (PAKDD (1), 2010)

Naive Bayes Classifier for Positive Unlabeled Learning with Uncertainty. - Jiazhen He; Yang Zhang 010; Xue Li 001; Yong Wang (SDM, 2010)

Associative Classifier for Uncertain Data. - Xiangju Qin; Yang Zhang 010; Xue Li 001; Yong Wang (WAIM, 2010)

Decision Tree for Dynamic and Uncertain Data Streams. - Chunquan Liang; Yang Zhang 010; Qun Song 003 (ACML, 2010)

Cost-Sensitive Decision Tree for Uncertain Data. - Mingjian Liu; Yang Zhang 010; Xing Zhang; Yong Wang (ADMA (1), 2011)

Evolutionary dynamics of continuous strategy games on social networks under weak selection: A preliminary study. - Weicai Zhong; Yang Zhang 010; Jing Liu 006 (IEEE Congress on Evolutionary Computation, 2011)

Bayesian Classifiers for Positive Unlabeled Learning. - Jiazhen He; Yang Zhang 010; Xue Li 001; Yong Wang (WAIM, 2011)

Feature selection for support vector machines with RBF kernel. - Quanzhong Liu; Chi-Hau Chen; Yang Zhang 010; Zhengguo Hu (Artif. Intell. Rev., 2011)

Classifying text streams by keywords using classifier ensemble. - Baoguo Yang; Yang Zhang 010; Xue Li 001 (Data Knowl. Eng., 2011)

Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty. - Jiazhen He; Yang Zhang 010; Xue Li 001; Peng Shi 001 (Int. J. Syst. Sci., 2012)

Learning very fast decision tree from uncertain data streams with positive and unlabeled samples. - Chunquan Liang; Yang Zhang 010; Peng Shi 001; Zhengguo Hu (Inf. Sci., 2012)

Dynamic classifier ensemble for positive unlabeled text stream classification. - Shirui Pan; Yang Zhang 010; Xue Li 001 (Knowl. Inf. Syst., 2012)

Learning from data streams with only positive and unlabeled data. - Xiangju Qin; Yang Zhang 010; Chen Li 021; Xue Li 001 (J. Intell. Inf. Syst., 2013)

A novel approach of mining strong jumping emerging patterns based on BSC-tree. - Quanzhong Liu; Peng Shi 001; Zhengguo Hu; Yang Zhang 010 (Int. J. Syst. Sci., 2014)

Enhancing sentence-level clustering with ranking-based clustering framework for theme-based summarization. - Libin Yang; Xiaoyan Cai; Yang Zhang 010; Peng Shi 001 (Inf. Sci., 2014)

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome. - Fuyi Li; Chen Li 021; Mingjun Wang; Geoffrey I. Webb; Yang Zhang 010; James C. Whisstock; Jiangning Song (Bioinform., 2015)

Learning accurate very fast decision trees from uncertain data streams. - Chunquan Liang; Yang Zhang 010; Peng Shi 001; Zhengguo Hu (Int. J. Syst. Sci., 2015)

Classifying networked text data with positive and unlabeled examples. - Mei Li; Shirui Pan; Yang Zhang 010; Xiaoyan Cai (Pattern Recognit. Lett., 2016)

Cost-sensitive learning for social network analysis and network measurement. - Zhang Xing; Meili Wang; Yang Zhang 010; Jifeng Ning (Comput. Electr. Eng., 2017)

Bayesian belief network for positive unlabeled learning with uncertainty. - Hongxiao Gan; Yang Zhang 010; Qun Song 003 (Pattern Recognit. Lett., 2017)

Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI. - Yi An; Jiawei Wang 002; Chen Li 021; André Leier; Tatiana T. Marquez-Lago; Jonathan Wilksch; Yang Zhang 010; Geoffrey I. Webb; Jiangning Song; Trevor Lithgow (Briefings Bioinform., 2018)

Continuously maintaining approximate quantile summaries over large uncertain datasets. - Chunquan Liang; Yang Zhang 010; Yanming Nie; Shaojun Hu (Inf. Sci., 2018)

Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches. - Jiawei Wang 002; Bingjiao Yang; Yi An; Tatiana T. Marquez-Lago; André Leier; Jonathan Wilksch; Qingyang Hong; Yang Zhang 010; Morihiro Hayashida; Tatsuya Akutsu; Geoffrey I. Webb; Richard A. Strugnell; et al. (Briefings Bioinform., 2019)

Positive-unlabelled learning of glycosylation sites in the human proteome. - Fuyi Li; Yang Zhang 010; Anthony W. Purcell; Geoffrey I. Webb; Kuo-Chen Chou; Trevor Lithgow; Chen Li 021; Jiangning Song (BMC Bioinform., 2019)

Positive-unlabeled learning in bioinformatics and computational biology: a brief review. - Fuyi Li; Shuangyu Dong; André Leier; Meiya Han; Xudong Guo; Jing Xu 008; Xiaoyu Wang 016; Shirui Pan; Cangzhi Jia; Yang Zhang 010; Geoffrey I. Webb; Lachlan J. M. Coin; et al. (Briefings Bioinform., 2022)